Table of Contents
Message from the President and CEO of PICMET..............2-3
PICMET ’18
Executive Committee......................................................... 4
Acknowledgments.............................................................. 5
Advisory Council............................................................... 5
Panel of Reviewers............................................................. 6
Past LTM Award Recipients........................................... 7-8
Past Medal of Excellence Award Recipients................. 8-9
Past PICMET Fellow Award Recipients....................... 9-10
PICMET ’18 Awards
Student Paper Award.................................................. 11-12
Medal of Excellence.......................................................... 14
LTM Awards...................................................................... 15
General Information
Conference Focus............................................................. 16
Who Should Attend......................................................... 16
Program............................................................................. 16
Publications...................................................................... 16
Registration Policy........................................................... 17
Session and Paper Designations...................................... 17
Presentation Guidelines................................................... 17
Audio/Visual Equipment................................................. 18
Wireless Access................................................................ 18
PICMET Volunteers.......................................................... 18
Hawaii
Airport Transportation..................................................... 19
Weather............................................................................. 19
Climate.............................................................................. 19
Attire................................................................................. 19
Rainfall............................................................................. 19
Water and Surf................................................................. 20
Mountains and Volcanoes............................................... 20
Oahu................................................................................. 20
Windward Coast........................................................ 21
Leeward Coast........................................................... 21
North Shore............................................................... 21
Central....................................................................... 21
Honolulu.............................................................. 21-22

Optional Tours
Pearl Harbor, AZ Memorial and Punchbowl.................. 23
Pearl Harbor Circle Island Adventure............................. 23
Mini-Circle Island with Scenic Shores Tour.................. 23
Manoa Waterfall Adventure Hike................................... 24
Helicopter Tour................................................................ 24
Ko’olina Dolphin and Snorkeling Cruise........................ 24
IEEE Hawaii Section Distinguished Lecture Seminar.......... 25
Social Events
Reception / Buffet............................................................ 26
Hawaiian Luau Dinner..................................................... 26
Awards Banquet............................................................... 26
Site Visit
Oceanic Institute Site Visit.............................................. 27
Technical Program
Program Overview........................................................... 28
The Papers........................................................................ 28
The Schedule................................................................... 28
Monday Schedule............................................................ 29
Tuesday Schedule............................................................ 30
Wednesday Schedule....................................................... 31
Thursday Schedule.......................................................... 32
Schedule of Sessions by Date..................................... 33-35
Schedule of Sessions by Room................................... 36-38
Personal Schedule............................................................ 39
Special Sessions
Country Representatives Meeting................................... 40
PICMET ’18 Debriefing and ’19 Planning Session......... 40
Plenary Sessions................................................................ 41-46
PhD Colloquium...................................................................... 47
Tutorial.................................................................................. 48
Panel........................................................................................ 49
Sessions............................................................................ 50-100
Author Index.................................................................. 101-106
Floor Layout of the Marriot Hotel.................................. 107

1

PICMET ’18
Thursday:Dr. Curtis R. Carlson, SRI International (1998-2014), USA, “Innovation for Impact: Value-creation as the Necessary Competitive Advantage”

Dear PICMET Guests:
We are pleased to welcome you to the PICMET ’18 Conference.
The general theme of PICMET ’18 is“Managing Technological Entrepreneurship: The Engine for Economic
Growth.” Technological Entrepreneurship is at the heart of economic growththroughout the world now. Entrepreneurs are taking risks, learning fromtheir mistakes, and starting new ventures one after another. This flurry ofactivities is resulting in the development of new technologies that were
not conceivable even a decade ago.
The theme is woven into the keynote
speeches and several papers, but the Conference is not limited
to it. Every aspect of technology management is addressed in
the presentations.
There are eight keynote speeches:

Dr. Sadik Esener, Oregon Health and Sciences University,
USA, “Enabling Projects Oriented Teams to Drive Innovation”
PICMET ’18 received 651 submissions. After a double-blindrefereeing process, 260 papers are included in the conference.
The referees were from around the world. The authors represent 229 academic institutions, industrial corporations andgovernment agencies in 36 countries.
The PICMET ’18 Conference has two outputs:
This Conference Bulletin includes an up to 200-word abstractof each paper to enable the participants to select the sessions toattend and the presentations to follow. The Bulletin is intended as a reference book for an overview of the field, in general,and the conference, in particular.
The Proceedings is a flash drive containing full-length presentations included in the conference. Its purpose is to givefull access to the entire conference for many years after the
conference is over. The Proceedings is divided into 45 sections, listed below. Each section contains several papers on
the topic.

Monday:Dr. Kathleen Eisenhardt, Stanford University, “Superior Strategy in Entrepreneurial Settings”• Technology Management Framework

Mr. John R. McDougall, President, Dalcor Innoventures, Ltd.,and Former President, National Research Council, Canada,“Technology, Innovation and Entrepreneurship – Sharing the
Wealth in an AI World”• Science and Technology Communication

Tuesday:
Dr. Melissa A. Schilling, New York University, “The Making ofa Serial Breakthrough Innovator
Dr. Bulent Atalay, University of Mary Washington and the University of Virginia, “Recognizing Genius in the Age of Technology: Jobs and Musk”• Strategic Management of Technology• Science and Technology Policy• Collaborations for Technology Management• Competitiveness in Technology Management• Global Issues• Environmental Issues• Sustainability• Educational Issues• Convergence of Technologies• Decision Making• Leadership• Disruptive Technologies

Wednesday:
Dr. Elicia Maine, Simon Fraser University, “Invention to Innovation: The Role of Scientist Entrepreneurs”• Emerging Technologies

Mr. Pliny Fisk III, Center for Maximum Potential Building
Systems (CMPBS) Austin Texas, “Sustainable Environments
and Technological Entrepreneurship in Small Island Development States (SIDS)”• Social Media

2• Artificial Intelligence for Technology Management• Internet of Things (IoT)• Cyber Security• E-Business• Entrepreneurship/Intrapreneurship

PICMET ’18• Intellectual Property• Social Innovation• Project/Program Management• Innovation Management• R&D Management• New Venture Development• New Product Development• Manufacturing Management• Productivity Management• Quality Management• Enterprise Management• Knowledge Management• Information Management• Information Technology• Technological Changes• Technology Forecasting• Technology Roadmapping• Technology Assessment and Evaluation• Technology Acquisition• Technology Adoption• Technology Diffusion• Technology Management in the Energy Sector• Technology Management in the Health Sector• Technology Management in the Service Sector
A large number of colleagues around the world contributed tothe success of the PICMET ’18 Conference.
The PICMET Board of Directors set the strategic direction; theAdvisory Council provided guidance for the implementationof the strategies for the conference.
Ann White, as the Executive Director Emeritus, edited theBulletin and prepared the front-end materials; Liono Setiowijoso, as the Director of Operations, designed, maintained andmanaged the information systems and PICMET web site, with
Hakan Kutgun’s assistance, under the guidance of PICMETCIO Bob Martin, and formatted the papers for the Proceedings; Byung Sung Yoon, as the Executive Director and Conference Coordinator, coordinated the overall planning of theconference. Caroline Mudavadi, as the Associate Executive
Director, provided support throughout the planning and registration process; Sule Balkan managed finances as PICMET’s
Chief Financial Officer; Scott Schaffer, as the Legal Counsel,
provided continuous legal advice. Timothy Anderson was theChief Technical Officer, Kiyoshi Niwa and Dilek Cetindamar
Kozanoglu were Co-Directors of International Activities,
Charles Weber was the Director of Awards, and Antonie Jetter
was the Director of Student Activities. Byung-Sung Yoon andSongphon Munkongsujarit coordinated the on-site activities;
Pei Zhang managed the documentation together with Hakan

Kutgun; Ahmed Alibage prepared the signage; and Jeff Birndorf developed graphic arts for the conference. Antonie Jetter
chaired the Student Paper Award Committee, whose members
Kishore Erukulapati, Nathasit Gerdsri, Jonathan Ho, Songphon
Munkongsujarit and Charles Weber evaluated more than 30
papers nominated for the award. Hakan Kutgun managed the
PICMET page on LinkedIn.
Timothy Anderson, Kiyoshi Niwa, Dilek Cetindamar Kozanoglu, Harm-Jan Steenhuis and Gary Perman conducted thereview process for the papers as Associate Editors; 119 colleagues from around the world reviewed up to 10 papers each.
Papers submitted to PICMET ’18 were reviewed by two or
more reviewers to assure high quality. Timothy Anderson did
the scheduling of the accepted papers for presentation at theconference. Amir Shaygan, Saeed Alzahrani, Husam Barham,
Edwin Garces, Abdulhakim Giadedi, Rafaa Khalifa, Momtaj
Khanam and Pei Zhang were the Editorial Assistants to checkand verify that the finalized papers had been revised as recommended by the reviewers.
Elizabeth Aubrey and Sherri Young of IEEE worked with PICMET from the beginning to the end of the conference planning
effort. Their professionalism and expertise assured the highquality production of the PICMET Proceedings on schedule.
The Country Representatives, under the leadership of Kiyoshi
Niwa and Dilek Cetindamar Kozanoglu, provided linkages between PICMET and the regions they represent.
The International Advisory Council gave advice and counsel
for PICMET to provide leadership on addressing the strategic
issues and critical directions of Technology Management.
The sponsors and supporters of PICMET ’18 made this conference possible. We extend special thanks to all of them: Portland
State University Department of Engineering and Technology
Management, IEEE TEMS (Technology and Engineering Management Society), Portland State University Foundation, InFocus Corporation, Search Technology/Vantage Point, IEEE
Hawaii Section, Maseeh College of Engineering and Computer
Science, Portland State University Office of Information Technology, and WHOVA Event Management.
We believe the PICMET ’18 Bulletin and Proceedings containsome of the best knowledge available on Technology Management for addressing the challenges and opportunities of technological entrepreneurship. We hope they will contribute to
the success of technology managers and emerging technology
managers, worldwide.
~ Dundar F. Kocaoglu, President and CEO

3

PICMET ’18
DEDICATIONPICMET ’18 is dedicated to
all researchers, educators and practitioners of Technology Management
who are contributing to the establishment and growth of this field
throughout the world.

EXECUTIVE COMMITTEE
President, CEO and Conference
Chair
Dundar F. Kocaoglu, Portland State
University
Chief Financial Officer
Sule Balkan, Portland State
University
Chief Information Officer
Bob Martin
Chief Technical Officer
Timothy R. Anderson, Portland
State University
Legal Counsel
Scott Schaffer, Schaffer IP Law,
LLC
Executive Director and Conference
Coordinator
Byung Sung Yoon, Portland State
University
Associate Executive Director
Caroline Mudavadi, Portland State
University
Executive Director Emeritus
Ann White
Director of Operations
Liono Setiowijoso, Portland State
University
Co-director of International
Activities
Kiyoshi Niwa, The University ofTokyo, Japan
Co-director of International
Activities
Dilek Cetindamar Kozanoglu,
University of Technology
Sydney, Australia
4

Director of Awards
Charles M. Weber, Portland State
University
Director of Student Activities
Antonie J. Jetter, Portland State
University
Director of Communications
Hakan Kutgun, Portland State
University
Director of PhD Colloquium
Nasir Sheikh, University ofBridgeport
Director of Registration
Caroline Mudavadi, Portland State
University
Co-director of Onsite Coordination
Byung Sung Yoon, Portland State
University
Co-director of Onsite Coordination
Songphon
Munkongsujarit, NSTDA –Thailand
Director of Signage
Ahmed Alibage, Portland State
University
Co-director of Documentation
Pei Zhang, Portland State
University
Co-director of Documentation
Hakan Kutgun, Portland State
University
IEEE Representative
Gary Perman, PermanTech
Student Paper Awards Committee
Antonie J. Jetter (Chair), Portland
State University-USA
Kishore Erukulapati, IEEE Hawaii

Section-USA
Nathasit Gerdsri, Mahidol
University-Thailand
Jonathan Ho, Yuan Ze UniversityTaiwan
Songphon
Munkongsujarit, NSTDA –ThailandCharles M. Weber, Portland State
University
Associate Editors
Timothy R. Anderson, Portland
State University
Dilek Cetindamar Kozanoglu,
Univ. of Technology Sydney
Kiyoshi Niwa, The University ofTokyo
Gary Perman, PermanTech
Harm-Jan Steenhuis, Hawai’i
Pacific University
Editorial Assistants
Amir Shaygan (Chair), Portland
State University
Saeed Alzahrani, Portland State
University
Husam Barham, Portland State
University
Edwin Garces, Portland State
University
Abdulhakim Giadedi, Portland
State University
Rafaa Khalifa, Portland State
University
Momtaj Khanam, Portland State
University
Pei Zhang, Portland State
University

PICMET ’18
Acknowledgments
ORGANIZED BY
Portland State University
Department of Engineering & Technology Management

SPONSORED BYIEEE TEMS (Technology and Engineering Management
Society)
InFocus Corporation
Portland State University Foundation
Search Technology/Vantage Point

SUPPORTED BY
Portland State University Maseeh College ofEngineering and Computer Science
PSU Office of Information Technology
Hawaii Visitors and Convention Bureau
Hawaii Pacific University
University of Hawaii
Whova Event Management

COOPERATING SOCIETIESIEEE Hawaii Section
INFORMS – Technology, Innovation Managementand Entrepreneurship Section

ADVISORY COUNCILPICMET has an International Advisory Council, which
provides advice and counsel on critical issues andstrategic directions. The members are listed below.
Dr. Adnan Akay, Provost, Bilkent University, Turkey
Mr. Hamid Reza Amirinia, Head, International Innovation and Technology Exhibition, IranDr. Bulent Atalay, Professor, University of Mary Washington and the University of Virginia, USA
Dr. Guruduth S. Banavar, CTO, VIOME, USA
Dr. Daniel Berg, Professor, University of Miami, USA
Dr. Walter Buchanan, Professor, Texas A&M University, USA
Dr. Hans-Jörg Bullinger, Former President, FraunhoferGesellschaft, and Professor, University of Stuttgart,
Germany
Dr. Robert Burgelman, Edmund W. Littlefield Professorof Management, Stanford University, USA
Dr. Curtis R. Carlson, Founder & CEO, The Practice ofInnovation, USA

Dr. Youngrak Choi, S&T Policy Adviser, Korea
Dr. Kathleen Eisenhardt, Professor, Stanford University,
USA
Dr. Steven Eppinger Professor, MIT, USA
Dr. Sadik Esener, Director, Center for Early Detection
Research, Knight Cancer Institute, OHSU, USA
Mr. Pliny Fisk III, Co-Director, Center for Maximum
Potential Building Systems; and Professor Emeritus,
Texas A&M Univ, USA
Dr. Eliezer Geisler, Professor, Illinois Institute of Technology, USA
Dr. Hans G. Gemünden, Professor, Berlin Technical
University, Germany
Mr. Shinjiro Iwata, Advisor, Hitachi, Ltd., Japan
Mr. Michael Joseph, Managing Director, Mobile Money,
Vodafone, USA
Dr. Jay Lee, Professor, University of Cincinnati, USA
Dr. Thomas L. Magnanti, President, Singapore University of Technology and Design, Singapore
Dr. Elicia Maine, Professor, Simon Fraser University,
CanadaMr. John McDougall, President, Dalcor Innoventures
Ltd., Canada
Mr. Tetsuji Ohashi, President, Komatsu Ltd., Japan
Dr. Alan L. Porter, Professor Emeritus, Georgia Instituteof Technology, USA
Dr. Michael Reardon, President, Eastern International
University, Vietnam
Dr. Itti Rittaporn, Executive, Toyota Tsusho Electronics(Thailand) Co., Ltd., Thailand
Mr. Scott Roth, Chief Executive Officer, JAMA Software, USA
Dr. Francois D. Roure, Chair, Technology and Society
Committee, High Council for Economy, Industry,
Energy and Technologies, France
Dr. Melissa Schilling, Professor, New York University,
USA
Dr. Aaron Shenhar, Professor, Rutgers University, USA
Dr. Nam P. Suh, Professor, MIT, USA
Dr. Dietmar Theis, Honorary Professor, Technical University of Munich, Germany
Dr. James M. Utterback, Professor, MIT, USA
Dr. Karl Hampton Vesper, Professor Emeritus, University of Washington, USA
Dr. Yuko Yasunaga, Deputy Director General, Industrial
Science and Technology, and Standards and Conformity Assessment, METI, Japan
Dr. Oliver Yu, Executive in Residence, College of Business, San Jose State University, USA
5

PICMET ’18
PANEL OF REVIEWERS

Marcelo Machado

Jasper Steyn

Papers submitted to PICMET conferences are subjected
to a double-blind review process. Each paper includedin the PICMET ’18 conference was reviewed by two
or more members of the Panel of Reviewers to assurea very high quality. The panel had 119 members fromaround the world. They are listed below in alphabeticalorder by last name.

Saku Makinen

Fang-Pei Su

Larry MallakHsin-Ning Su

Robert Martin

Yalcin Tanes

Mary Mathew

Alfred Thal, Jr.

Gita Mathur

Harald Throne-Holst

Paul Menig

Cherie Trumbach

Hitoshi Abe

Kuo-Hao Feng

Tim MinshallFang-Mei TsengMark Ahn

Janice Forrester

Yaeko Mitsumori

Yuri Tukoff-Guimaraes

Jose Albors-Garrigos

Takao Fujiwara

Kumiko Miyazaki

Andreas Udbye

Joe Amadi-Echendu

Markus Günther

Martin Moehrle

Cornelis van Waveren

Masami AsaiNathasit Gerdsri

David Moore

Thanaphol Virasa

Jean-Pierre Auffret

Aifang Guo

Wayne Wakeland

Alfonso Avila-Robinson

Robert Harmon

Songphon
Munkongsujarit

Elif Baktir

Rainer Hasenauer

Nazmun Nahar

Yuichi Washida

Sule Balkan

Kazuo Hatakeyama

Paulo Nascimento

Charles Weber

Bridget Barnes

Abram Hernandez

Leon Oerlemans

David Wilemon

Caroline Benton

Paul Hong

Gary Perman

Dietmar Winzker

Frederick Betz

Jing Hu

Simon Philbin

Nihan Yildirim

Jeffrey Butler

Nazrul Islam

Fred Phillips

Man Hang Yip

David Güemes Castorena

Kazuhiko Itaya

Ferhan Cebi

Takayuki Ito

Kah Hin Chai

Hannu Jaakkola

Leong Chan

Yuya Kajikawa

Yu-Yu Chang

Gulgun Kayakutlu

Yufen Chen

Donald Kennedy

Byungchul Choi

Ron Khormaei

Marina Dabic

Alisa Kongthon

Antonie de Klerk

Sigal Koral Kordova

Mark De ReuverDavid Kruger

Ozgur Dedehayir

Isak Kruglianskas

Glenn Dietrich

Beryl Kuo

Brent Dixon

Jan Kwakkel

Toni Drescher

Scott Leavengood

Alptekin Durmusoglu

Chung-Shing Lee

William Eisenhauer

Hai-Chen Lin

Kishore Erukulapati

Justin Lin

Clare Farrukh

Chih-Cheng Lo

6Alan Pilkington
Leon Pretorius
Marthinus Pretorius
Bharat Rao
Jamie Rogers
Ichiro Sakata
Leonardo Santiago
Yuriko Sawatani
Guenther SchuhLone Seboni
Takehisa Seino
Shintaro Sengoku
Marko Seppänen
Nasir Sheikh
Kunio Shirahada
Nathalie Sick
Nermin Sokmen
Woodie Spivey

Chun-Hsien Wang

PICMET ’18
PICMET LEADERSHIP IN TECHNOLOGYMANAGEMENT (LTM) AWARD RECIPIENTSThe PICMET Leadership in Technology Management(LTM) Award recognizes and honors individuals who
have provided leadership in managing technology by establishing a vision, providing a strategic direction, andfacilitating the implementation strategies for that vision.
The Award was established in 1991. The recipients with
their affiliations and positions at the time of the award arelisted below.
1991
Dr. Andrew S. Grove, CEO of Intel, USA
1997
Mr. Norman Augustine, Chairman of Lockheed Martin,
USA
1999
Mr. Jack Welch, CEO of General Electric, USA
Dr. Richard M. Cyert, President of Carnegie Mellon
University, USA
2001
Dr. Modesto A. Maidique, President of Florida
International University, USA
Ms. Carleton S. Fiorina, Chairman and CEO of HewlettPackard Co., USA
Ms. Donna Shirley, Managerof the Mars Exploration
Program, USA
2003
Mr. Jong-Yong Yun, Vice
Chairman and CEO of
Samsung Electronics, Inc.,
Korea
Dr. Joseph Bordogna, Deputy
Director of the National
Science Foundation (NSF),
USA
Dr. Chun-Yen Chang,President of National Chiao
Tung University, Taiwan
2004
Dr. Kwan Rim, Chairman of Samsung Advanced
Institute of Technology (SAIT), Korea
Dr. Gunnar Hambraeus, member of the Swedish Royal
Academy of Science and former President andChairman, Royal Swedish Academy of Engineering
Sciences, Sweden
2005
Dr. Morris Chang, Founding Chairman, Taiwan
Semiconductor Manufacturing Company Ltd. (TSMC),

TaiwanDr. Pairash Thajchayapong, Permanent Secretary,
Ministry of Science and Technology, Thailand
Dr. Eric von Hippel, Professor and Head of theTechnological Innovation and EntrepreneurshipGroup, Sloan School of Management, Massachusetts
Institute of Technology, USA
Prof. Dr.-Ing. Dr. Sc. h.c. Bacharuddin Jusuf Habibie,
former President, Indonesia, and founder andchairman, The Habibie Center, Indonesia
2006
Dr. Youngrak Choi,
Chairman, Korea ResearchCouncil of Public Science &Technology (KORP), Korea
Dr. Tsuneo Nakahara,
Adviser to CEO (past Vice
Chairman) of Sumitomo
Electric Industries, Ltd.,Japan
Dr. Mehmet Nimet Ozdas,
Dept. of Mechanical andControl Engineering, Istanbul
Technical University, Turkey
Dr. Edward B. Roberts, David
Sarnoff Professor of theManagement of Technology
and Chair, Massachusetts
Institute of Technology (MIT) EntrepreneurshipCenter, USA
2007
Dr. Harold A. Linstone, Editor-in-chief, Technological
Forecasting and Social Change, University Professor
Emeritus, Systems Science, Portland State University,
USA
Dr. Yoshio Nishi, Director of Research of the Stanford
Center for Integrated Systems, Director of the Stanford
7

PICMET ’18
Nanofabrication Facility, and Research Professor in
the Department of Electrical Engineering at Stanford
University, USA
2008
Mr. William P. Venter, Chairman, Allied Electronics
Corporation Limited, South Africa
Dr. Gideon de Wet, Professor Emeritus, University of
Pretoria, South Africa

2016
Mr. Shinjiro Iwata, Advisor to Hitachi Ltd., Japan2017
Dr. Guruduth S. Banavar, Viome, USA
Dr. Robert A. Burgelman, Edmund W. Littlefield
Professor of Management, Stanford University, USA

2009
Dr. Klaus Brockhoff, Professor, Otto Beisheim School ofManagement, Germany
Ms. Anne M. Mulcahy, Chairman and Former CEO,Xerox Corporation, USA
Prof. Muhammad Yunus, Managing Director, Grameen
Bank, Bangladesh
2010
HRH Princess Maha Chakri Sirindhorn, Thailand
2011
Dr. David M. Steele, Dean, College of Business andLucas Graduate School of Business, San Jose State
University, USA
2012
Dr. Daniel Berg, Distinguished Research Professor ofEngineering, the University of Miami, USA
Dr. Nam P. Suh, President, Korea Advanced Institute of
Science and Technology (KAIST), Korea
2013
Dr. Robert JT Morris, VP Global Labs, IBM Research,
USA
Dr. James M. Utterback, David J. McGrath jr (1959)
Professor of Management and Innovation, MIT Sloan
School of Management; and Professor of Engineering
Systems, School of Engineering, Massachusetts
Institute of Technology, USA
2014
Dr. Hans-Joerg Bullinger, Senator of the FraunhoferGesellschaft, Germany
Mr. Michael Joseph, Director of Mobile Money,
Vodafone Group Services Limited, UK; and Fellow,
the World Bank
Dr. Thomas L. Magnanti, President, Singapore
University of Technology and Design (SUTD),
Singapore; and Institute Professor and former Dean ofEngineering, Massachusetts Institute of Technology(MIT), USA
Mr. Takeshi Uchiyamada, Chairman of the Board,
Toyota Motor Corporation, Japan2015
Mr. John R. McDougall, President, National ResearchCouncil, Canada
8

PICMET MEDAL OF EXCELLENCE AWARD
RECIPIENTSPICMET’s “Medal of Excellence” recognizes extraordinary achievements of individuals in any discipline for
their outstanding contributions to science, engineeringand technology management.
The award was instituted in 2004. The recipients with
their affiliations and positions at the time of the award
are listed below.
2004
Dr. Daeje Chin, Minister of Information andCommunications, Korea
Dr. Kiyoshi Niwa, Professor in the Department ofGeneral Systems Studies at the University of Tokyo,
Japan
Dr. Rosalie A. Zobel, Director of Components andSystems in the Information Society and Media
Directorate-General of the European Commission
2005
Mr. Bob Colwell, President, R & E Colwell andAssociates; and former Fellow, Intel Corporation
2006
Dr. Frederick Betz, Former Program Officer, NSF
Dr. Fariborz Maseeh, Founder and President, The
Massiah Foundation
Dr. T. Nejat Veziroglu, Director, Clean Energy ResearchPICMET ’18
Institute, University of Miami
2007
Dr. Mihail C. Roco, National Science Foundation(NSF), National Nanotechnology Initiative (NNI), andInternational Risk Governance Council (IRGC), USA
2009
Dr. Albert H. Rubenstein, Founder and President,International Applied Science and Technology
Associates (IASTA); and Professor Emeritus, Industrial
Engineering and Management Sciences, Northwestern
University
2010
Ms. Kiran Mazumdar-Shaw, Chairman and Managing
Director, Biocon Limited, India
Prof. Dr. Nuket Yetis, President, Scientific andTechnological Research Council of Turkey (TÜBITAK)

of Technology; and Director of R&D for SearchTechnology, Inc., USA
2016
Dr. Jay Lee, Ohio Eminent Scholar, L.W. Scott Alter
Chair, and Distinguished University Professor,
University of Cincinnati, USA
2017
Mr. Scott Roth, Chief Executive Officer, Jama Software,
USA
Dr. Karl Hampton Vesper, Foster School of Business,
University of Washington, Seattle, USA

PICMET FELLOWSThe PICMET Fellow Award was established in 2011
to commemorate PICMET’s 20th Anniversary. It
is bestowed upon those who have excelled in thetechnology management field by making a significant
impact in one or more of the following six areas:
1. Technology Management Research as demonstrated
by the research conducted and supervised, research
results published in refereed journals, and research
grants received from funding agencies or industry.
2. Technology Management Education as demonstrated
by technology management programs/courses
developed, taught or managed, PhD students
supervised, and new educational initiatives taken.
3. Technology Management Implementation asdemonstrated by management of technology-based
projects, programs and organizations in industry or
government.

2011
Mr. Alejandro Cruz, Minister of Science andTechnology, Costa Rica
2013
Dr. Eliezer Geisler, Distinguished Professor, Stuart
School of Business, Illinois Institute of Technology,
USA
Dr. Hans Georg Gemuenden, Professor, Berlin Univer­sityof Technology, Germany
2015
Dr. Steven Eppinger, Professor of Management
Science and Innovation, Massachusetts Institute ofTechnology, USA
Dr. Alan L. Porter, Professor Emeritus, Georgia Institute

4. Technology Management Consulting as demonstrated
by consulting activities with high impact on the
improvement of technology management practice.
5. Technology Management Policy Making as
demonstrated by the role played in policy making
levels for effective utilization of technology
management concepts and processes.
6. Technology Management Leadership as demonstrated
by the book(s) published, journal(s) edited, technology
management organization(s) established or managed.

9

PICMET ’18
The PICMET Fellows with their affiliations at the time of
the award are listed below.
2011
Mr. Charles Allcock, PGE, USA
Dr. Daniel Berg, Rensselaer Polytechnic Institute (RPI),
USA
Dr. Frederick Betz, Portland State University, USA
Dr. Joseph Bordogna, University of Pennsylvania, USA
Dr. Youngrak Choi, Korea University, Korea
Dr. Robert Colwell, DARPA, USA
Dr. Joseph Cox, Distinguished Public Service Professor
and Chancellor Emeritus, Oregon University System,USA
Ms. Charmagne Ehrenhaus, Portland Community
College, USA
Mr. Les Fahey, Fahey Ventures, USA
Dr. Gunnar Hambraeus, Royal Swedish Academy ofEngineering Sciences, Sweden
Dr. Dundar Kocaoglu, Portland State University, USA
Mr. Thomas Lipscomb, The Center for the Digital Future,
USA
Dr. Tom Long, Tektronix Vice President, Retired, USA
Mr. John McDougall, Alberta Research Council, Canada
Dr. Graham Mitchell, University of Pennsylvania, USA
Dr. Kiyoshi Niwa, The University of Tokyo, Japan
Dr. Kwan Rim, Samsung Corporation, Korea
Dr. Frederick Rossini, George Mason University, USA
Mr. Terry Rost, The Franchise Group, USA
Dr. Nam Suh, KAIST, Korea
Dr. Nejat Veziroglu, University of Miami, USA
Dr. Eric von Hippel, MIT, USA
Dr. Seiichi Watanabe, Terumo Corporation, Japan
Dr. Rosalie Zobel, European Commission, Belgium
2013
Dr. Klaus Brockhoff, WHU – Otto Beisheim School ofManagement, Germany
Dr. Antonie de Klerk, University of Pretoria, South
AfricaDr. Norman G. Einspruch, University of Miami, USA
Dr. Joseph P. Martino, Yorktown University, USA
Mr. Terry Oliver, Bonneville Power Administration,
USA
Dr. Alan L. Porter, Search Technology, Inc., USA
Dr. Albert H. Rubenstein, Northwestern University, USA
Dr. James C. Spohrer, IBM, USA
Dr. David M. Steele, San Jose State University, USA

10

2014
Dr. Timothy R. Anderson, Portland State University,
USA
Dr. Tugrul U. Daim, Portland State University, USA
Dr. Fred Phillips, Stony Brook - State University of New
York, USA
Dr. David Probert, University of Cambridge, UK
2015
Dr. Oliver Yu, President and CEO, The STARS Group;
Executive in Residence, Lucas College of Business,
San Jose State University, California, USA

Student Paper AwardPICMET NAMES ITS OUTSTANDINGSTUDENT PAPER AWARD
An endowment has been created to name the PICMET Outstanding Student Paper Award after Brad W. Hosler, who
was a dedicated engineer and technology leader with 25
years of service at Intel, as well as a proud and loving
family man. Brad Hosler lived by his motto: “Work hard,play hard.”

Brad’s signature accomplishments are associated with the
Universal Serial Bus (USB) family of technologies. He
received two Intel Achievement Awards, one in 2003 andanother in 2006, for his outstanding work. The success of
the USB interface and market of platforms and peripherals that sell in multiple billion units today is a measureof his impact.

AWARD CRITERIAThe Brad W. Hosler PICMET Outstanding Student Paper
Award is bestowed upon a paper based on the student’s
research toward a graduate degree in the area of Engineering and Technology Management. Eligibility is restricted
to currently enrolled students and those who have received their master’s or doctorate degrees after July 31,
2016. The paper is nominated by the advising professor
and selected by the Awards Committee. The award consists of $1,000, complimentary conference registration
and a certificate for the student, as well as a certificate
and complimentary registration for the nominating professor. The winner may not be nominated again for thesame award in subsequent years.

ABOUT BRAD W. HOSLER
Brad Hosler passed away
on August 31, 2007, at
his home in Portland, Oregon, after several yearsof battling cancer. He received his undergraduate degree from Bucknell
University and completed his graduate studies atCarnegie Mellon University. Brad joined Intel in1980 to work on the architecture and implementation of the I/O subsystemand had key roles in the Plug & Play BIOS definition andits implementation on Intel’s first PCI chipset, Saturn. He
formed the Compliance Workgroup to establish the PC industry’s first multi-vendor I/O compliance program. The
innovative methods and practices that he architected andimplemented have become the benchmark for the computer industry. Brad was among the pioneers recognizedfor his industry contributions at the 10-year anniversaryof the PCI-SIG, which has a worldwide membership ofabout 900 companies.

Brad was promoted to Principal Engineer in 2006 andwas vested with the informal authority of Chief Technical Officer for the USB Implementers Forum.
PICMET is proud to recognize Brad Hosler’s accomplishments, as an engineer and a technology leader, by naming
the Outstanding Student Paper Award after him.

11

Student Paper Award
BRAD W. HOSLER OUTSTANDING STUDENTPAPER AWARD
The number of students doing significant research in thearea of Engineering and Technology Management wasdemonstrated by the number of nominations received.
The selection of the award winner was difficult becauseof the excellent quality of all the submissions, but one paper stood out for its contribution to the field of Engineering and Technology Management.

AUTHOR

Dr. Hyeokseong Lee

ADVISOR & CO-AUTHOR
Professor Wonjoon Kim

UNIVERSITY

Korea Advanced Institute of Scienceand Technology (KAIST)PAPER TITLE“Firm’s Product Innovation Strategy
and Product Sales in Convergent Product Markets”

12

ABSTRACT
Although product convergence became the prevailingparadigm, our understanding is limited because of thesmall number of studies. We examine how a firm’s resource base and recombinant capability affect market
performance for convergent products using mobile phonemarket data for the United States. We find that a firm’s
resource base explains why a firm whose resource baseis related to the base product (mobile phone) achieves
better market performance for the convergent product(camera phone) than a firm whose resource base is forthe additional product (camera). Moreover, recombinantcapability - defined as the ability to combine resources
and capabilities previously distinct - is a significant factor
that enables firms whose performance previously lagged
to catch up to that of the leaders in the convergent product market.

Share the PICMET Experience

THE PICMET EXPERIENCE
Joining the world’s leading technology management experts
from academic institutions, industrial corporations and government
agencies for discussions on cutting-edge topics.

13

Medal of Excellence
Initiated at PICMET ’04 in Seoul, Korea, the Medal of
Excellence award is given for extraordinary achievements
of individuals in any discipline for their outstanding
contributions to science, engineering and technology
management.

PICMET ’18 AWARDEES
Dr. Bulent Atalay
Professor, University of Mary Washington and the
University of Virginia; Member, Institute for Advanced
Study, Princeton, USA
Dr. Bulent Atalay is a scientist, artist,and author. Described by NPR, PBS,
Smithsonian and the Washington Post
as a “Modern Renaissance Man,” heis the author of two best-selling bookson the intersection of art, scienceand mathematics, with Leonardo, theultimate Renaissance man, serving as
the foil.
Dr. Atalay’s education in theoretical physics includes
training and research at a number of universities –Georgetown, UC-Berkeley, Princeton and Oxford. He has
spent the preponderance of his career teaching at the
University of Virginia and Mary Washington.
Dr. Atalay’s best-selling book, Math and the Mona Lisa
(Smithsonian Books, 2004), has appeared in 14 languages.
His last book, Leonardo’s Universe (National Geographic
Books, 2009), is in two languages, English and Japanese.
His upcoming book is entitled Creativity and Genius: Inside
the Minds of Leonardo, Shakespeare, Newton, Beethoven,and Einstein.
He travels around the world lecturing at academic
institutions and on ships of the Crystal Cruise Line. For
more details, see his website created at the behest of
National Geographic, www.bulentatalay.com.

14

Dr. Sadik Esener
Chair, Biomedical Engineering Department at the Schoolof Medicine, Oregon Health and Sciences University,
Portland, Oregon, USA
Dr. Sadik Esener is the Wendt Family Endowed Chair at the Biomedical
Engineering Department at the Schoolof Medicine of The Oregon Health andSciences University in Portland, Oregon. He is the Founding Director of
the Cancer Early Detection Advanced
Research Center at the Knight Cancer
Institute. He is also a Professor in abstentia at the Electrical and Computer
Sciences and NanoEngineering departments at the University of California, San Diego.
Born in Ankara in 1956, Prof. Dr. Sadik Esener received
his BS degree in Electronic and Telecommunication Engineering from Istanbul Technical University in 1979 andMS degree from Michigan University in 1981. He joined
the UCSD faculty in 1987, after receiving his PhD in Applied Physics and Electrical Engineering from UCSD thesame year.
Dr. Esener is an internationally known expert in cancer
nanotechnologies, photonics and opto-electronics, andhe has been closely involved with many startup companies based on technology developed in his laboratories;
he holds more than 20 issued patents in these areas. In
the recent past he has served as the director of the NanoTumor Center, a Cancer Nanotechnology Center of Excellence funded by NCI, the DARPA-funded multi-university
Center for Chips with Heterogeneously Integrated Photonics (CHIPS), the 3D-Opto-Electronic Stacked Processors
industry/university consortium; and the Fast Readout
Optical Storage (FROST) Industry consortium. He has authored more than 180 journal publications and 250 conference abstracts.
Dr. Esener is a member of IEEE, OSA, and SPIE, and cofounded San Diego-based Nanogen, Optical Micro-Machines, Parallel Solutions, Genoptix, Devacell, Cellix,
Orimedix, Ziva and Call/Recall Inc’s. Dr. Esener also serves
as the co-chair of Sabanci University Board of Trustees.

LTM Awards
The PICMET Leadership in Technology Management(LTM) Award recognizes and honors individuals who
have provided leadership in managing technology by
establishing a vision, providing a strategic direction, andfacilitating the implementation strategies for that vision.
Dr. Kathleen Eisenhardt
W. Ascherman Professor, Stanford University, and CoDirector of the Stanford Technology Ventures Program,
Stanford University, USA
Dr. Kathleen M. Eisenhardt is the
Stanford W. Ascherman Professor ofStrategy and Organization at Stanford University and co-director of
the Stanford Technology Ventures
Program. Her recent best-selling book(with Don Sull) is Strategy as Simple
Rules, named a “top 10 summer read”
by the Wall Street Journal. Dr. Eisenhardt’s research sits at the nexus ofstrategy and organization theory where she focuses onhigh-velocity markets and technology-based firms. She
is now studying strategy in distinct economic “games”
and strategy as simple rules, particularly using multi-casemethods. Her PhD is from Stanford’s Graduate School ofBusiness.

Dr. Melissa A. Schilling
Professor, Stern School of Business, New York University,
New York, USA
Dr. Melissa Schilling is John Herzog
Family Professor of Management at
New York University Stern Schoolof Management. She specializes inStrategic Management, Technological Innovation and Entrepreneurship.
Her B.S. degree in Business Administration with majors in Finance,
Marketing and Biology is from the
University of Colorado, Boulder; her
PhD in Strategic Management is from the University ofWashington. She is the winner of the Best Paper Awardfor her paper in Management Science and Organization
Science, and the recipient of numerous research grants
from Kauffman Foundation, National Science Foundation and other funding agencies. Dr. Schilling is the author of more than 200 papers, book chapters, cases andconference presentations. Her most recent book, Quirky:
The remarkable story of the traits, foibles, and geniusof breakthrough innovators that changed the world, is a
deep dive into the lives of Elon Musk, Steve Jobs, Marie
Curie, Nikola Tesla, Thomas Edison, Benjamin Franklin,
Albert Einstein and Dean Kamen. It shows the unusual
things they had in common, how these characteristics led
to innovation, and how we can nurture our own breakthrough innovation potential.

15

General Information
CONFERENCE FOCUS
The Technology Age is upon us. It is a challenge to thinkof any activity in any part of our lives that is not affectedor driven by technology. PICMET ’18 emphasizes the roleof management in technological entrepreneurship.
PICMET defines the primary role of Technology
Management as the management of technologies to assurethat they work for the betterment of humankind. Using
this definition, technology management has a critical roleto play in the proper utilization of technology to meet theworld’s needs.
This is a big responsibility for the leaders and emerging
leaders in the Technology Management field, but it iscritical that they accept the responsibility and meet thechallenges head on.
It is our expectation that by focusing on managing
technological innovation, the PICMET ’18 Conference
will encourage researchers in academia, decision makers
in industry, and policy makers in governments to engage
in significant work to continue making technologicalinnovation the engine of economic growth throughout
the world.

WHO SHOULD ATTEND
Following the PICMET tradition, this high-impact conference will set the stage for innovation managementfor decades to come. The world’s leading experts fromacademic institutions, industrial corporations and government agencies will participate in the discussions. PICMET ’18 is essential for:• Presidents and CEOs of technology-based corporations• Vice presidents of engineering, R&D and technology inindustrial organizations• R&D managers• Engineering, manufacturing, operations, quality
and marketing managers in the technology-basedorganization• Project and product managers• Information systems managers in industrial andservice organizations• Technology management researchers• Educators in engineering management, technology
management, manufacturing management, technology
marketing, software management, information systems
management, project management, and technologyfocused MBA programs• Engineering and technology management program
heads
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• Students in engineering management, management oftechnology and related programs• Government officials responsible for technology policy• Government officials responsible for science andtechnology programs• Engineers and scientists moving from technicalspecialty to management positions while maintaining
their identity in technical fields

PROGRAMThe PICMET ’18 program consists of• Ph.D. Colloquium, “Getting Your PhD….and Beyond:Critical Stages and Career Paths for the Ph.D. Student,”
Sunday, August 19, 13:00 - 17:00, Waikiki Ballroom,
Salon 3 (3rd floor of the Paoakalani Tower near theswimming pool)• Plenary sessions by global leaders from industrial
corporations, academic institutions and government
agencies in the Kona Moku Ballroom (3rd floor of the
Paoakalani Tower)• Two special meetings:
1. Country Representatives Lunch Meeting for thecurrent PICMET Country Representatives andthose who are interested in becoming Country
Representatives, Wednesday, August 22, 12:0014:00, Milo V Room (2nd floor of Paoakalani
Tower).
2. PICMET ’19 & ’20 Planning Session for everybody
who would like to discuss strategies for future
PICMET conferences, Thursday, August 23,
14:00-15:30, Kona Moku Ballroom, Salon A (3rdfloor of Paoakalani Tower).
• Research papers by cutting-edge researchers• Applications papers by researchers and practitioners
working on industry applications• A panel discussion with interactions between panelists and the audience

PUBLICATIONSThere will be two publications at PICMET ’18:
• The “Bulletin” containing the conference scheduleand abstracts of each presentation• The “Proceedings” containing all of the papers on a
USB drive.
The publications will be available to PICMET ’18 attendees at the registration desk.

General Information
REGISTRATION POLICYAll PICMET attendees, including speakers and session
chairs, must register and pay the registration fee to haveaccess to sessions and other events. The registration fee
allows admittance to all technical sessions and social
events.*Name badges must be worn to all PICMET sessions, functions and events. If you attend the site visit or other eventsnot covered by the registration fee, you will be required to
pay an additional fee.
*The one-day registration fee does not include the evening social events. The PhD Colloquium and site visit
are not included in the registration fee. Tickets for these
events may be purchased at the registration desk.

SESSION AND PAPER DESIGNATIONSThe sessions are identified by a four-digit code as follows:First digit		
M: Mondayshows the day		
T: Tuesday			W: Wednesday			H: Thursday			Second digit		
A: 08:30-10:00
shows the time		
B: 10:30-12:00
			C: 12:00-14:00
			D: 14:00-15:30
			E: 16:00-17:30
Third and fourth
00: Kona Moku Ballroom
digits show the room 01: Kona Moku Salon A			
02: Kona Moku Salon B			
03: Kona Moku Salon C			
04: Waikiki Salon 1			
05: Waikiki Salon 2
			
06: Waikiki Salon 3
			07: Milo I
			08: Milo II			09: Milo III
			10: Milo IV			11: Milo V
Presentations in each session are given consecutive numbers following the session number. For example, paper
TD-05.2 is the second paper on Tuesday at 14:00-15:30 in
Waikiki Salon 2.

PRESENTATION GUIDELINESSESSION GUIDELINESThe sessions are 90 minutes long and include two, three,or four papers. Depending on the number of papers inthe session, the time should be divided equally for eachpresentation, allowing about five minutes after each one
for questions.
SESSION CHAIR GUIDELINES
If you are chairing a session, please follow the guidelines below:• Contact the speaker before your session starts.
• Check the equipment in the room. If something does
not work or if anything else is needed, contact the PICMET volunteer responsible for your room.
• Introduce each speaker.
• Coordinate the time allocated to each speaker so thateach has about equal time, allowing about five minutes
for questions from the audience.
• Fill out the Session Summary Form and leave it on thetable in the room. The form will be given to the session
chair by the PICMET volunteer at the beginning of thesession.
SPEAKER GUIDELINES
If you are presenting a paper, please follow the guidelines below:• Introduce yourself to your session chair, and provide
him/her with a brief background statement that he/she
can use in introducing you to the audience.
• Divide the 90 minutes by the number of papers in yoursession so that every speaker in the session has approximately the same length of time.
• Allow about five minutes for questions from the audience after your presentation.

17

General Information
AUDIO/VISUAL EQUIPMENT
Milo VI on the 2nd floor of Paoakalani
Tower is designated as the Authors’
Room. The authors can work therewith their laptops anytime they wish
to do so.
There will be a computer, a projector and a screen in every break-out
room. You can bring your presentation slides on a USB drive and use
the computer provided. If you would
like to use your own laptop, please beadvised that you will need to bringthe adapters that will fit into the VGA
standard connection as all of our projectors will have the standard VGA
port. Also, please make sure that you
have an adapter to connect to USA
electric port if your connection port isdifferent. You can get more information and tips at http://www.usatourist.com/english/traveltips/electric-power-tips.html.
If you need information about anything else concerning
the conference, volunteers in the registration area will try
to help you.

WIRELESS ACCESS
Wireless access will be available in designated areas.

PICMET VOLUNTEERSPICMET Volunteers wearing Aloha shirts with PICMET
logo buttons will assist the participants throughout theconference. If you need help in locating the room where
your session will be held or if there are equipment problems, for example, you can contact the PICMET Volunteers. If you need information about anything concerning
the conference, a volunteer in the registration area will
try to help you.

18

Hawaii
GROUND TRANSPORTATION BETWEENHONOLULU AIRPORT AND THE HOTEL
There are several options for transportation between Honolulu airport and the Waikiki Beach Marriott Resort and
Spa where PICMET ’18 is held.
• Taxis cost about $50 plus tip one way•	Roberts Hawaii Express Shuttle Service costs $16 perperson one way (http://airports.hawaii.gov/hnl/gettingto-from/ground-transportation/robertshawaiishuttle/)

HAWAIIThe following is from the Hawaii Tourism Authority(http://www.gohawaii.com/).
Hawaii is like no other place on earth. Home to one of theworld’s most active volcanoes and the world’s tallest sea
mountain. Birthplace of modern surfing, the hula and Hawaii Regional Cuisine.
Former seat of a royal kingdom and home to the only royalpalace on US soil, Hawaii is one of the youngest geological formations in the world and the youngest state of theunion. But perhaps Hawaii’s most unique feature is its aloha spirit: the warmth of Hawaii’s people that wonderfullycomplements the Islands’ perfect temperatures.
There are six major islands to visit in Hawaii: Kauai, Oahu, Molokai, Lanai, Maui, and Hawaii Island. You’ll
find each island has its own distinct personality and offers
its own adventures, activities and sights. We invite you to
explore the Islands of Aloha to find your own heavenly
Hawaii experiences.
Hawaii Weather
Weather in Hawaii is very consistent, with only minorchanges in temperature throughout the year. There are really only two seasons in Hawaii: summer (called Kau in
Hawaiian) from May to October, and winter (Hooilo) from
November to April. The average daytime summer temperature at sea level is 85º F (29.4 C), while the average daytime winter temperature is 78º F (25.6º C). Temperatures atnight are approximately 10º F. lower.
Temperature and Climate Zones
The islands are an incredible collection of diverse microenvironments, each with its own unique weather, plants,
and animals. As a result of the shielding effect of volcanic
mountains and the differences in weather found at various
elevations, you can find tropical rain forests, cool alpine

regions, arid deserts, and sunny beaches - all within the
span of just a few miles.
What Should I Pack on My Trip to Hawaii?
It is warm in Hawaii, so pack your summer attire. You may
want to bring a jacket or sweater for the evenings. Suitsand ties are very rarely worn here. Bring some casual dress
clothes or resort wear if you plan on experiencing Hawaii’snightlife. You can buy an aloha shirt and flip-flops (or slippers, as the locals call them) when you get here.
Rainfall and Trade Winds
Through most of the year, Hawaiian weather patterns areaffected primarily by high-pressure zones in the north Pacific that pump cool, moist trade winds down onto theisland’s northeastern slopes. These winds are forced upslope by the mountain heights where their moisture condenses into clouds that produce rain. Most of the rain falls
in the mountains and valleys on the windward (northeastern) side of the islands. It is this weather phenomenon thatcreates Hawaii’s rich, green, tropical environment.
The wettest months are from November to March, but winter rains do not generally disrupt vacation plans, since theweather is very localized. This means that if it is raining
where you are, there is almost always a sunny spot to befound around the coast.
Hawaii’s trade winds mean there is almost always a coolingbreeze here. Several times during the year the trade winds
will stop completely and the wind will switch around tocome out of the south or west, bringing stormy or hot sticky
weather. Islanders sometimes call this “Kona” weather, because kona means leeward or south, and this points to thedirection from which these weather systems arrive.

19

Hawaii
Water and Surf Conditions
Hawaii’s near-shore water temperatures remain comfortable throughout the year. The average water temperature
is 74º F. (23.3 C), with a summer high of 80º F. (26.7º C).
Wave action varies dramatically between island coasts andseasons. Summer waters are typically gentle on all beaches. During the winter on many north shore beaches, Pacificstorms drive ocean swells towards the islands, creating Hawaii’s legendary big waves.
Wave conditions are often very localized, so if the waves
are too big on your beach, you can usually find calmer water at a more sheltered beach. Strong currents can makeany beach unsafe at any time during the year, particularly in the winter. Ask your hotel staff or a lifeguard about
ocean currents or look for warning flags and posted beachconditions.

ABOUT OAHU
Sometimes called “The Gathering Place,” Oahu certainly
lives up to its name. The third largest Hawaiian island ishome to the majority of Hawaii’s diverse population, afusion of east and west cultures rooted in the values andtraditions of the Native Hawaiian people. It is this fundamental contrast between the ancient and the modern thatmakes discovering Oahu so enjoyable.

Hawaii’s Mountains and Volcanoes
Many visitors are drawn to the natural beauty found in
higher elevations such as Kokee on Kauai, Haleakala on
Maui, or Kilauea on the Big Island. Temperatures in thesehigher locations drop 3.5 degrees for every 1,000 feet above
sea level that you climb, so dress appropriately with pants
and several layers of clothing. At an elevation of 10,023
feet, the summit of Haleakala can be as much as 30º F. cooler than resort areas on the coast. Also note that becauseof these high elevations, there is less protection from thesun’s powerful UV rays, so come prepared with sun blockand sunglasses.

20

Whether you are hiking atop iconic Leahi (Diamond
Head), enjoying some of Hawaii’s best shopping, or
simply unwinding on the sands of the island’s beautiful beaches, you’ll find variety at every turn on Oahu.

Hawaii
Oahu Regions
Home to the majority of Hawaii’s population and a wealthof activities and attractions, Oahu is separated into five
distinct regions: Honolulu, the Windward Coast, Central
Oahu, the Leeward Coast and the North Shore. World famous Waikiki is located on the south shore of Honolulu.
WINDWARD COAST, OAHU
Kailua Beach Park
Kailua Beach Park overlooks Kaneohe Bay and the
Mokulua Islands and is a great spot for kayaking, windsurfing and other water sports.

KailuaKailua Town is a buzzing beach community on the
Windward Coast of Oahu, Hawaii, and is known for its
turquoise water, crescent beach, unique shopping anddining.
LEEWARD COAST, OAHU
Kaena Point
Kaena Point is a sacred spot at the western most tip of
Oahu accessible only by hike.
NORTH SHORE, OAHU
Haleiwa
This historic surf town is the gateway to the legendary
North Shore.
Waimea Bay
Waimea Bay is a legendary surf spot influential in thebirth of big wave surfing.
CENTRAL OAHU
Pearl Harbor
Five Pearl Harbor Historic Sites honor this National
Historic Landmark where World War II both began andended.
HONOLULU, OAHU
WaikikiOnce a playground for Hawaiian royalty, Waikiki is
now a vibrant gathering place for visitors from aroundthe world.
Leahi (Diamond Head)Hike to the top of the iconic Diamond Head State Monument for panoramic views of Waikiki and Honolulu.

Makapuu Point Lighthouse
Hike to this scenic point on Oahu’s eastern most tip forincredible views and whale watching during the winter.
Nuuanu Pali Lookout
Nuuanu Pali Lookout is one of Oahu’s most popular
scenic spots with panoramic views of Windward Oahu
and the Koolau mountain range.
Valley of the Temples
Valley of the Temples Memorial Park houses Byodo-in,
a replica of a Japanese Buddhist Temple.

Aloha Tower
Aloha Tower is a historic Honolulu landmark and home
to an outdoor shopping and dining marketplace.
Bishop Museum
Bishop Museum houses the largest collection of Hawaiian artifacts in the state and is a popular destination for
the whole family.
Downtown Honolulu and Chinatown
Downtown Honolulu and Chinatown are Oahu’s historic centers for government, business and the arts.

21

Hawaii
arts museum. Shangri La is one of Hawaii’s most architecturally significant homes.
Iolani Palace
The only official state residence of royalty in the U.S.,
Iolani Palace’s grounds and galleries are now open to
the public as a museum.
Kapahulu
Kapahulu is a small neighborhood right next to Waikiki
where you can find unique shops and some of Honolulu’s best local food.
Kawaiahao Church
The historic Kawaiahao Church was the first Christian
Church built on Oahu in 1842.
King Kamehameha Statue
The most famous Kamehameha Statue stands in front of
Aliiolani Hale in Downtown Honolulu.
National Memorial Cemetery of the Pacific
One of the nation’s prominent national cemeteries, theNational Memorial of the Pacific honors the sacrificesof America’s Armed Forces.
Duke Kahanamoku Statue
This iconic statue of “The father of modern surfing”
welcomes visitors to Waikiki with open arms.
Hanauma Bay Nature Preserve
This Marine Life Conservation District is one of Oahu’s
most popular snorkeling destinations.
Honolulu Museum of Art and Shangri La
The Honolulu Museum of Art is Hawaii’s largest fine-

22

Queen Emma Summer Palace
The summer retreat of Queen Emma and King Kamehameha IV.
Washington Place
Visit Washington Place in Downtown Honolulu, theresidence of Queen Liliuokalani, Hawaii’s last reigningmonarch. It is located in Hawaii’s Capital Historic District and is open for private tours.

Optional Tours
SIGHTSEEING TOURS IN “PARADISE”
Exciting sightseeing tours are offered by the Aloha Holidays company to PICMET ’18 participants. A few of themin Oahu (the island where PICMET ’18 will be held) aredescribed below. You can tour many other places, including some in the three other islands (Hawaii, Maui andKauai) and make reservations ahead of time at http://alohaholidayshawaii.com/tours_oahu.htm.
Aloha Holidays will respond with information and confirmation within 24 to 48 hours of a request. Payment canbe made by credit card through Aloha Holiday’s secured
page. You will receive a voucher / ticket for each activity
you have booked, along with the confirmed date, time,pick-up point, etc.
DISCLAIMER: All information presented on this page isintended for general guidance and information purposes
only. PICMET is not affiliated with any service providers listed here and assumes no responsibility regarding
the accuracy of information and delivery of services from
Aloha Holidays or any other third party.

PEARL HARBOR, ARIZONA MEMORIAL AND
PUNCHBOWL
Visit Pearl Harbor andthe Arizona Memorial
Visitors Center VIA
AIR-CONDITIONED
fully narrated coachtour. View a 20-minute film of the historyof the famous battleship and board a Navylaunch to visit the Memorial. Ride through the National Cemetery of the Pacificat beautiful Punchbowl Crater; the most dramatically located site of its kind in the world. Descend past the Governor’s Mansion, the State Capitol Building, the Royal
Palace, and the historic Kawaiahao Church, King Kamehameha Statue and finally on to Honolulu’s Chinatown.

PEARL HARBORCIRCLE ISLANDADVENTURE
Tour through the Arizona Memorial thencontinue your trip to
Dole Plantation andlearn the history of
pineapple in Hawaii,
drive through the surfing town of Haleiwa, view surfing
beaches of the North Shore, visit Byodo Inn Temple, stop
for a breathtaking view of the Windward side from thePali Lookout. A no-host lunch stop is made (lunch location subject to change).

DATE: Monday - Friday
TIME: 7:00am - 5:00pm
COST:	$103.50 Adult$63 Child (Ages 3-11)

MINI-CIRCLE ISLAND
WITH SCENIC SHORESTOUR
A half-day tour departing ona fully narrated motor coachtour. See Diamond Head
Crater, Nuuanu Rainforest,
Hanauma Bay and some of
Oahu’s most famous beaches.

DATE: Monday/Wednesday/Friday
TIME: 1:00pm - 5:00pm
COST:	$57.50 Adult$34.50 (Ages 3-11)

DATE: Daily
TIME: 9:00am - 3:00pm
COST:	$51.00 Adult$31.50 Child (Ages 3-11)23

Optional Tours
MANOA WATERFALL ADVENTURE HIKEThis adventure will fulfill all
your fantasies about Hawaii’s
lush rainforests, giant ferns,
cascading tropical waterfalls,
picturesque streams and uniquespecies that can be found nowhere else on Earth. This trail,a hidden treasure that was usedby Spielberg while filming Jurassic Park, leads to the tallest
accessible waterfall on Oahu,
deep within a prehistoric landscape. This four-hour tour includes walking time of 2-2.5
hours.

DATE:
TIME:

Monday - Friday
Morning Tour: 8:00am - 12:30pm
Afternoon Tour: 2:00pm - 6:30pm
COST:	$52.50HELICOPTER TOUR
Pali Makani Tour
Soar over ocean andmountains, past diamondHead, Honolulu, Waikiki, Hanauma Bay, andPunchbowl.

DATE: Daily
TIME: 30 minute tour
COST:	$177 open seating$191 first class seating

Sacred Falls Tour
Sacred Falls, North Shore, Sunset Beach, Pupukea, Pipeline, Waimea Bay + Falls, sugar cane, pineapple, andPearl Harbor.

DATE: Daily
TIME: 60 minute tour
COST:	$303 open seating$343 first class seating

24

KO’OLINA DOLPHIN AND SNORKELINGCRUISE - DELUXE MID-DAY
After an exciting ride up the coast to Ko’Olina on the westside of the island, you will experience a snorkel adventure of a lifetime with three different stops. The leeward
shore is home to
the Hawaiian Spinner dolphins yearround, and thisarea offers the bestsnorkeling on theisland!
Check-insnacks include assorted pastries, coffee, tea and sodas.
The first stop is a snorkel teeming with tropical fish.
Our next stop is a viewing encounter with the wild dolphins, and the third stop is an incredible snorkel with sea
turtles. After 3.5 hours on the water, return to shore fora grilled lunch including Teri chicken, hamburger, hot
dog or veggie burgers; French fries, coffee, tea, soda andbottled water.
Included are round trip transportation, high quality snorkel gear, snorkel safety vests, instruction, and fresh water
showers.

DATE:
TIME:

Daily
Pickup from hotel 10:30am
Return approximately 5:30pm
COST:	$149.00 Adult$129.00 Child (Ages 3-11)

IEEE Seminar
IEEE HAWAII SECTION DISTINGUISHEDLECTURE SEMINAR
DATE: WEDNESDAY, AUGUST 22
TIME:	18:00-19:30
ROOM:	WAIKIKI BALLROOM, SALON 2(3RD FLOOR OF PAOAKALANITOWER NEAR THE SWIMMINGPOOL)SPEAKER:
Dr. Rainer Hasenauer, Vienna University of Economics
and Business (WU Vienna), Austria
Dr. Rainer Hasenauer is Honorary
Professor of Marketing with lectureship in Marketing of High Tech
Innovation and Technology Marketing at the Institute for Marketing
Management, WU Vienna. He is anentrepreneur, co-founder and business angel of high tech companies
as well as business developer for innovative technologies. He is also theinitiator and co-founder of HiTec
Marketing Research Association in Vienna and initiatorand senior advisor of the Cross Border HiTec Center.

B2B markets and comprises community-based innovation, marketing testbeds for market entry, and multidisciplinary communication in high-tech innovation. Fields ofapplication are satellite navigation and remote sensing,robotics, sensors, functional materials, flow batteries andremote power supply, threat analysis for safety and security systems of complex products and systems (road tunnel ventilation, power plants, etc.) and applied operation
research with special consideration of multiple criteria
decision models.
He is a member of advisory boards of high tech investment groups, chairman of an expert board for high techstart-up incubator, a member of the supervisory boardof a world market leader of safety, and a member of theadvisory board for national innovation and technology
policy.
There is no fee for this event. It is open to all PICMET attendees.

His teaching and research interests are focused on market entry of high tech innovation in B2B markets, andmeasurement of innovation half-life and technology acceptance in B2B markets. He teaches at WU Vienna, TU
Vienna and Campus02 in Graz. He has had guest lectureships at the Institute of Advanced Studies in Vienna,
University of St. Gallen, University of Klagenfurt, andEconomic University of Bratislava.
Dr. Hasenauer’s research is mostly project driven for25Social Events
To facilitate the informal interaction of the participants,
several social events have been scheduled during
PICMET ’18.

RECEPTION/BUFFETDATE:SUNDAY, AUGUST 19
TIME:
19:00—22:00
LOCATION:	PUALEILANI TERRACE(3RD FLOOR OF KEALOHILANITOWER)DRESS:INFORMAL
Meet other conference attendees, renew old acquaintances, and begin new friendships and collaborations
at this opening reception/buffet. Included in the regular registration fee.*

HAWAIIAN LUAU DINNERDATE:MONDAY, AUGUST 20
TIME:
19:00-22:00
LOCATION:	PUALEILANI TERRACE(3RD FLOOR OF KEALOHILANITOWER)DRESS:INFORMAL
Enjoy the bounty of Hawaii at this buffet of delectable local dishes while you mingle and network with colleagues.
A Hawaiian trio and two Hawaiian dancers will present a
performance of local music and entertainment. Includedin the regular registration fee.*

AWARDS BANQUETDATE:TUESDAY, AUGUST 21
CASH BAR:	18:30—19:00(IN THE KONA MOKU BALLROOM LANAI)BANQUET: 19:00—22:00
LOCATION:	KONA MOKU BALLROOMDRESS:
BUSINESS ATTIRE**
This is the premier social event of the conference. The
PICMET ’18 Leadership in Technology Management,
Medal of Excellence, and Outstanding Student Paperawards will be presented at the banquet. Included in theregistration fee.**The one-day registration fee does not include the
Sunday, Monday, and Tuesday evening social events.
Tickets for these events may be purchased at theregistration desk.
**“Business attire” in Hawaii is defined as either Aloha
shirt or regular shirt with or without coat and tie.

26

Site Visit
The following site visit is offered during PICMET ’18.
Seating is limited, so sign up early. The registration fee
is $75.
The time below includes travel time. The return time isapproximate and will depend on traffic.
Attendees will meet on Monday at 14:00 in the first-floor
lobby of Paoakalani Tower by the main entrance, wherea PICMET volunteer will guide you to the bus.

OCEANIC INSTITUTE SITE VISITMONDAY, AUGUST 20, 14:00 - 17:30
Oceanic Institute (OI), an affiliate of Hawaii Pacific University, is a not-for-profit research and development organization dedicated to marine aquaculture, biotechnology,
and coastal resource management. Founded in 1960, theresearch facility is located on a 56-acre site at Makapuu
Point on the windward coast of Oahu, Hawaii, with facilities on the Big Island of Hawaii as well. A year-roundtropical climate provides ideal working conditions andallows for uninterrupted research.
OI’s mission is to develop and transfer economically

The site visit will begin at the OI administration building
followed by a walking tour to seven stations. Each station focuses on a different aspect of OI’s research (shrimp
aquaculture, aquaculture of fish for food, fish for the ornamental industry, sea urchins, aquatic animal feed, etc.).
Since the group will be walking outside most the time,
visitors are asked to wear casual attire and shoes thatcan get dirty; we suggest that women avoid wearing highheels. For biosecurity reasons, visitors are asked not tovisit another aquaculture facility within 72 hours prior tocoming to OI for the tour. In addition, visitors must haveshowered and changed clothes after coming in contact
with ocean water and after handling uncooked crustaceans or other seafood prior to visiting OI. These policies
are in place to protect the valuable research and breeding animals maintained by the OI. More will be explained
about why these stringent policies are in place during thetour.
For more information about the Oceanic Institute, please
visit www.oceanicinstitute.org.

responsible technologies to increase aquatic food production while promoting the sustainable use of ocean
resources. OI works with community, industry, government and academic partners, and non-governmental organizations to benefit the state, the nation, and the world.
27

Technical Program
PROGRAM OVERVIEWTHE SCHEDULE

The PICMET ’18 technical program consists of 92 sessions including 4 plenaries, 2 special sessions, 1 panel, 1tutorial, and 84 paper sessions.

The plenary is the only session in the 08:30-10:00 timeslot. After that, there are up to 11 break-out sessions
throughout the day, Monday through Thursday.

The plenaries are scheduled from 08:30 to 10:00 every
morning, Monday, August 20, through Thursday, August 23, in the Kona Moku Ballroom on the 3rd floor of
Paoakalani Tower. They are described in the “Plenaries”
section of this Bulletin.

In order to make the sessions easy to see, we have prepared the schedule listings in three different formats foryou.

THE PAPERS
Research papers and applications-oriented papers are explicitly identified in this conference. Separate evaluation
criteria were used, and different referees were selected foreach category to make surethat appropriate papers
were included in the conference for the “Research”
and “Application” categories. We emphasizedresearchmethodology,
the use of the research literature, the theory behindthe paper, the sample
size, and the impact on
the research community
for the “Research Papers.”
The important evaluation criteria for “Industry
Applications” were theusefulness of the application, the importance of the case being discussed, the generalizability of the concepts presented, and the impact ofthe paper on the users of technology management. The“Research Papers” included in PICMET ’18 are listedwith an [R] in front of their titles on the following pages;
and the “Industry Applications” papers are shown with
an [A] in front of their titles. Roughly 77 percent are in the[R] category, and the rest are in the [A] category.
The Research Papers and Industry Applications are
mixed in the sessions. This was done intentionally to assure effective exchange of ideas among those presenting
research papers and those presenting applications-oriented papers.

28

First, you will find a pictorial display of the sessions foreach day. The four pages (one for each day) should help
you visualize what session is scheduled in what time slot
and in which room each day.
In the second set of schedules, the sessions are listed inchronological in order to give
you a breakdown of the sessions by time of day.
The third set contains the same
information as the second set,but the sessions are ordered byroom. This set is intended togive you a good picture of all
the tracks in which the sessions are scheduled. The sessions in a track are kept in thesame room as much as possible. By looking at the sessions
in each room, you should easily be able to select the tracks
which you would like to follow.
Finally, you will find a “Personal Schedule” following
the schedule listings. It is a chart for you to make yourown schedule. Only the common events are marked up
on the personal schedule. You can fill it out as a daily
calendar for the sessions you would like to follow, events
to attend, and people to meet with.
We hope these will help you to take full advantage of therichness of the technical program at PICMET ’18.

29

Technology
Assessment &Evaluation-2

TUTORIAL
Entrepreneurship/ New ProductTech Emergence Intrapreneurship-1 Development-2

Technology
Acquisition

ME
16:00-17:30

EnterpriseManagement-1

R&D
Management-1

Intellectual
Property-2

Social Media

Artificial
Intelligence
for Technology
Management

LUNCH

Intellectual
Property-1

04
05
06
Waikiki Salon 1 Waikiki Salon 2 Waikiki Salon 3

Technology
Assessment &Evaluation-1

New Venture
Development

E-Business

03
Kona Moku
Salon CNew ProductDevelopment-1

Innovation
Management-1

02
Kona Moku
Salon B

Innovation
Management-2

Plenary - 1

01
Kona Moku
Salon AMD
14:00-15:30

MC
12:00-14:00

MB
10:30-12:00

MA
08:30-10:00

00
Kona Moku
Ballroom

Cyber Security

Productivity
Management

Information
Technology

07
Milo IMONDAY, AUGUST 20, 2018

Leadership

Sustainability

Convergence ofTechnologies

08
Milo II

Daily Schedule

Manufacturing
Management-2

Manufacturing
Management-1

GlobalIssues09
Milo III

Knowledge
Management: 2

Knowledge
Management: 1

Information
Management-1

10
Milo IV

Technology
Managementin the Health
Sector-2

Technology
Managementin the Health
Sector-1

Emerging
Technologies-1

11
Milo V30
Technological
Forecasting

Innovation
Entrepreneurship/
PANEL
Management-5 Intrapreneurship-4 Meet the Editor’s

Disruptive
Technologies

Technology
Adoption-2

Technology
Adoption-1

Decision
Making-3

Decision
Making-2

LUNCH

Decision
Making-1

04
05
06
Waikiki Salon 1 Waikiki Salon 2 Waikiki Salon 3

TE
16:00-17:30

03
Kona Moku
Salon CTechnologicalRoadmapping

Innovation
Entrepreneurship/
Management-3 Intrapreneurship-2

02
Kona Moku
Salon B

Innovation
Entrepreneurship/
Management-4 Intrapreneurship-3

Plenary - 2

01
Kona Moku
Salon ATD
14:00-15:30

TC
12:00-14:00

TB
10:30-12:00

TA
08:30-10:00

00
Kona Moku
Ballroom

Project/Program
Management

07
Milo ITUESDAY, AUGUST 21, 2018

Technology
Managementin the Energy
SectorScience &Technology
Policy-1

08
Milo II

Daily Schedule

Information
Management-2

Information
Management-3

Strategic
Management ofTechnology-1

Educational
Issues10
Milo IV

Collaborations-2

Collaborations-1

09
Milo III

Technology
Diffusion

Technology
Management
Framework-2

Technology
Management
Framework-1

11
Milo V31

Emerging
Technologies-2

Innovation
Entrepreneurship/ New ProductManagement-8 Intrapreneurship-7 Development-4

Internet ofThings (IoT)Intellectual
Property-5

Intellectual
Property-4

LUNCH

Intellectual
Property-3

R&D
Management-4

R&D
Management-3

R&D
Management-2

04
05
06
Waikiki Salon 1 Waikiki Salon 2 Waikiki Salon 3

WE
16:00-17:30

03
Kona Moku
Salon C

Science &Technology
Policy-3Innovation
Entrepreneurship/
Management-6 Intrapreneurship-5

02
Kona Moku
Salon B

Innovation
Entrepreneurship/ New ProductManagement-7 Intrapreneurship-6 Development-3

Plenary - 3

01
Kona Moku
Salon AWD
14:00-15:30

WC
12:00-14:00

WB
10:30-12:00

WA
08:30-10:00

00
Kona Moku
Ballroom

WEDNESDAY, AUGUST 22, 201807
Milo I

Strategic
Management ofTechnology-2

Science &Technology
Policy-2

08
Milo II

Daily Schedule10
Milo IVEnterpriseManagement-2

Science andTechnology
Communication-2

Science andTechnology
CompetitivenessCommunication-1

09
Milo III32
HD
14:00-15:30

HC
12:00-14:00

HB
10:30-12:00

HA
08:30-10:00

PICMET ’18
Debrief andFuture PICMET
Planning

Plenary - 4

00
Kona Moku
Ballroom

02
Kona Moku
Salon B

LUNCH

Innovation
Entrepreneurship/
Management-9 Intrapreneurship-801
Kona Moku
Salon A

SocialInnovation

03
Kona Moku
Salon C

Science &Technology
Policy-4

04
Waikiki Salon 1

THURSDAY, AUGUST 23, 2018

Daily ScheduleSchedule of Sessions
SCHEDULE OF SESSIONS BY DATEMONDAY, AUGUST 20, 2018
SessionNumber

Day

Time

Room

Session Title

MA  	

00  	

Monday 	

08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 1”

MB  	

01  	

Monday 	

10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-1”

MB  	

02  	

Monday 	

10:30 - 12:00 	

Kona Moku Salon B  	 “E-Business”

MB  	

03  	

Monday 	

10:30 - 12:00 	

Kona Moku Salon C  	 “Enterprise Management-1”

MB  	

04  	

Monday 	

10:30 - 12:00 	

Waikiki Salon 1  	

“Technology Acquisition”

MB  	

05  	

Monday 	

10:30 - 12:00 	

Waikiki Salon 2  	

“Intellectual Property-1”

MB  	

06  	

Monday 	

10:30 - 12:00 	

Waikiki Salon 3  	

“R&D Management-1”

MB  	

07  	

Monday 	

10:30 - 12:00 	

Milo I  	“Information Technology”

MB  	

08  	

Monday 	

10:30 - 12:00 	

Milo II  	“Convergence of Technologies”

MB  	

09  	

Monday 	

10:30 - 12:00 	

Milo III  	“Global Issues”

MB  	

10  	

Monday 	

10:30 - 12:00 	

Milo IV  	“Information Management-1”

MB  	

11  	

Monday 	

10:30 - 12:00 	

Milo V  	“Emerging Technologies-1”

MD  	

01  	

Monday 	

14:00 - 15:30 	Kona Moku Salon A  	 “Innovation Management-2”

MD  	

02  	

Monday 	

14:00 - 15:30 	Kona Moku Salon B  	 “New Venture Development”

MD  	

03  	

Monday 	

14:00 - 15:30 	Kona Moku Salon C  	 “New Product Development-1”

MD  	

04  	

Monday 	

14:00 - 15:30 	Waikiki Salon 1  	

“Technology Assessment & Evaluation-1”

MD  	

05  	

Monday 	

14:00 - 15:30 	Waikiki Salon 2  	

“Intellectual Property-2”

MD  	

06  	

Monday 	

14:00 - 15:30 	Waikiki Salon 3  	

“Artificial Intelligence for Technology Management”

MD  	

07  	

Monday 	

14:00 - 15:30 	Milo I  	“Productivity Management”

MD  	

08  	

Monday 	

14:00 - 15:30 	Milo II  	“Sustainability”

MD  	

09  	

Monday 	

14:00 - 15:30 	Milo III  	“Manufacturing Management-1”

MD  	

10  	

Monday 	

14:00 - 15:30 	Milo IV  	“Knowledge Management: 1”

MD  	

11  	

Monday 	

14:00 - 15:30 	Milo V  	“Technology Management in the Health Sector-1”

ME  	

01  	

Monday 	

16:00 - 17:30 	Kona Moku Salon A  	 TUTORIAL: “Tech Emergence”

ME  	

02  	

Monday 	

16:00 - 17:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-1”

ME  	

03  	

Monday 	

16:00 - 17:30 	Kona Moku Salon C  	 “New Product Development-2”

ME  	

04  	

Monday 	

16:00 - 17:30 	Waikiki Salon 1  	

“Technology Assessment & Evaluation-2”

ME  	

06  	

Monday 	

16:00 - 17:30 	Waikiki Salon 3  	“Social Media”

ME  	

07  	

Monday 	

16:00 - 17:30 	Milo I  	“Cyber Security”

ME  	

08  	

Monday 	

16:00 - 17:30 	Milo II  	“Leadership”

ME  	

09  	

Monday 	

16:00 - 17:30 	Milo III  	“Manufacturing Management-2”

ME  	

10  	

Monday 	

16:00 - 17:30 	Milo IV  	“Knowledge Management: 2”

ME  	

11  	

Monday 	

16:00 - 17:30 	Milo V  	“Technology Management in the Health Sector-2”

TUESDAY, AUGUST 21, 2018
TA  	

00  	

Tuesday 	

08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 2”33

Schedule of Sessions
TB  	

01  	

Tuesday 	

10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-3”

TB  	

02  	

Tuesday 	

10:30 - 12:00 	

Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-2”

TB  	

04  	

Tuesday 	

10:30 - 12:00 	

Waikiki Salon 1  	

“Disruptive Technologies”

TB  	

06  	

Tuesday 	

10:30 - 12:00 	

Waikiki Salon 3  	

“Decision Making-1”

TB  	

07  	

Tuesday 	

10:30 - 12:00 	

Milo I  	“Project/Program Management”

TB  	

08  	

Tuesday 	

10:30 - 12:00 	

Milo II  	“Science & Technology Policy-1”

TB  	

09  	

Tuesday 	

10:30 - 12:00 	

Milo III  	“Collaborations-1”

TB  	

10  	

Tuesday 	

10:30 - 12:00 	

Milo IV  	“Educational Issues”

TB  	

11  	

Tuesday 	

10:30 - 12:00 	

Milo V  	“Technology Management Framework-1”

TD  	

01  	

Tuesday 	

14:00 - 15:30 	Kona Moku Salon A  	 “Innovation Management-4”

TD  	

02  	

Tuesday 	

14:00 - 15:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-3”

TD  	

04  	

Tuesday 	

14:00 - 15:30 	Waikiki Salon 1  	

“Technological Roadmapping”

TD  	

05  	

Tuesday 	

14:00 - 15:30 	Waikiki Salon 2  	

“Technology Adoption-1”

TD  	

06  	

Tuesday 	

14:00 - 15:30 	Waikiki Salon 3  	

“Decision Making-2”

TD  	

08  	

Tuesday 	

14:00 - 15:30 	Milo II  	“Technology Management in the Energy Sector”

TD  	

09  	

Tuesday 	

14:00 - 15:30 	Milo III  	“Collaborations-2”

TD  	

10  	

Tuesday 	

14:00 - 15:30 	Milo IV  	“Information Management-2”

TD  	

11  	

Tuesday 	

14:00 - 15:30 	Milo V  	“Technology Management Framework-2”

TE  	

01  	

Tuesday 	

16:00 - 17:30 	Kona Moku Salon A  	 “Innovation Management-5”

TE  	

02  	

Tuesday 	

16:00 - 17:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-4”

TE  	

03  	

Tuesday 	

16:00 - 17:30 	Kona Moku Salon C  	 PANEL: “Meet the Editor’s”

TE  	

04  	

Tuesday 	

16:00 - 17:30 	Waikiki Salon 1  	

“Technological Forecasting”

TE  	

05  	

Tuesday 	

16:00 - 17:30 	Waikiki Salon 2  	

“Technology Adoption-2”

TE  	

06  	

Tuesday 	

16:00 - 17:30 	Waikiki Salon 3  	

“Decision Making-3”

TE  	

09  	

Tuesday 	

16:00 - 17:30 	Milo III  	“Strategic Management of Technology-1”

TE  	

10  	

Tuesday 	

16:00 - 17:30 	Milo IV  	“Information Management-3”

TE  	

11  	

Tuesday 	

16:00 - 17:30 	Milo V  	“Technology Diffusion”

WEDNESDAY, AUGUST 22, 2018
WA  	

00  	

Wednesday 	 08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 3”

WB  	

01  	

Wednesday 	 10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-6”

WB  	

02  	

Wednesday 	 10:30 - 12:00 	

Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-5”

WB  	

04  	

Wednesday 	 10:30 - 12:00 	

Waikiki Salon 1  	

“Internet of Things (IoT)”

WB  	

05  	

Wednesday 	 10:30 - 12:00 	

Waikiki Salon 2  	

“Intellectual Property-3”

WB  	

06  	

Wednesday 	 10:30 - 12:00 	

Waikiki Salon 3  	

“R&D Management-2”

WB  	

08  	

Wednesday 	 10:30 - 12:00 	

Milo II  	“Science & Technology Policy-2”

WB  	

09  	

Wednesday 	 10:30 - 12:00 	

Milo III  	“Science and Technology Communication-1”

WB  	

10  	

Wednesday 	 10:30 - 12:00 	

Milo IV  	“Competitiveness”

WD  	

01  	

Wednesday 	 14:00 - 15:30 	Kona Moku Salon A  	 “Innovation Management-7”

34

Schedule of Sessions
WD  	

02  	

Wednesday 	 14:00 - 15:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-6”

WD  	

03  	

Wednesday 	 14:00 - 15:30 	Kona Moku Salon C  	 “New Product Development-3”

WD  	

04  	

Wednesday 	 14:00 - 15:30 	Waikiki Salon 1  	

“Science & Technology Policy-3”

WD  	

05  	

Wednesday 	 14:00 - 15:30 	Waikiki Salon 2  	

“Intellectual Property-4”

WD  	

06  	

Wednesday 	 14:00 - 15:30 	Waikiki Salon 3  	

“R&D Management-3”

WD  	

09  	

Wednesday 	 14:00 - 15:30 	Milo III  	“Science and Technology Communication-2”

WE  	

01  	

Wednesday 	 16:00 - 17:30 	Kona Moku Salon A  	 “Innovation Management-8”

WE  	

02  	

Wednesday 	 16:00 - 17:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-7”

WE  	

03  	

Wednesday 	 16:00 - 17:30 	Kona Moku Salon C  	 “New Product Development-4”

WE  	

04  	

Wednesday 	 16:00 - 17:30 	Waikiki Salon 1  	“Emerging Technologies-2”

WE  	

05  	

Wednesday 	 16:00 - 17:30 	Waikiki Salon 2  	

“Intellectual Property-5”

WE  	

06  	

Wednesday 	 16:00 - 17:30 	Waikiki Salon 3  	

“R&D Management-4”

WE  	

08  	

Wednesday 	 16:00 - 17:30 	Milo II  	“Strategic Management of Technology-2”

WE  	

09  	

Wednesday 	 16:00 - 17:30 	Milo III  	“Enterprise Management-2”

THURSDAY, AUGUST 23, 2018
HA  	

00  	

Thursday 	

08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 4”

HB  	

01  	

Thursday 	

10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-9”

HB  	

02  	

Thursday 	

10:30 - 12:00 	

Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-8”

HB  	

03  	

Thursday 	

10:30 - 12:00 	

Kona Moku Salon C  	 “Social Innovation”

HB  	

04  	

Thursday 	

10:30 - 12:00 	

Waikiki Salon 1  	

“Science & Technology Policy-4”

HD  	
01  	
Thursday 	 14:00 - 15:30 	Kona Moku Salon A  	 PANEL: “PICMET ’18 Debrief and Future					
PICMET Planning”

35

Schedule of Sessions
SCHEDULE OF SESSIONS BY ROOM
Session Number Day

Time

Room

MA  	

00  	

Monday 	

08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 1”

TA  	

00  	

Tuesday 	

08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 2”

WA  	

00  	

Wednesday 	 08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 3”

HA  	

00  	

Thursday 	

08:30 - 10:00 	

Kona Moku Ballroom  	 PLENARY: “Plenary - 4”

MB  	

01  	

Monday 	

10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-1”

MD  	

01  	

Monday 	

14:00 - 15:30 	Kona Moku Salon A  	 “Innovation Management-2”

ME  	

01  	

Monday 	

16:00 - 17:30 	Kona Moku Salon A  	 TUTORIAL: “Tech Emergence”

TB  	

01  	

Tuesday 	

10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-3”

TD  	

01  	

Tuesday 	

14:00 - 15:30 	Kona Moku Salon A  	 “Innovation Management-4”

TE  	

01  	

Tuesday 	

16:00 - 17:30 	Kona Moku Salon A  	 “Innovation Management-5”

WB  	

01  	

Wednesday 	 10:30 - 12:00 	

Kona Moku Salon A  	 “Innovation Management-6”

WD  	

01  	

Wednesday 	 14:00 - 15:30 	Kona Moku Salon A  	 “Innovation Management-7”

WE  	

01  	

Wednesday 	 16:00 - 17:30 	Kona Moku Salon A  	 “Innovation Management-8”

HB  	

01  	

Thursday 	

Kona Moku Salon A  	 “Innovation Management-9”

10:30 - 12:00 	

Session Title

HD  	
01  	
Thursday 	 14:00 - 15:30 	Kona Moku Salon A  	 PANEL: “PICMET ‘18 Debrief and Future					
PICMET Planning”
MB  	

02  	

Monday 	

10:30 - 12:00 	

Kona Moku Salon B  	 “E-Business”

MD  	

02  	

Monday 	

14:00 - 15:30 	Kona Moku Salon B  	 “New Venture Development”

ME  	

02  	

Monday 	

16:00 - 17:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-1”

TB  	

02  	

Tuesday 	

10:30 - 12:00 	

Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-2”

TD  	

02  	

Tuesday 	

14:00 - 15:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-3”

TE  	

02  	

Tuesday 	

16:00 - 17:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-4”

WB  	

02  	

Wednesday 	 10:30 - 12:00 	

Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-5”

WD  	

02  	

Wednesday 	 14:00 - 15:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-6”

WE  	

02  	

Wednesday 	 16:00 - 17:30 	Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-7”

HB  	

02  	

Thursday 	

10:30 - 12:00 	

Kona Moku Salon B  	 “Entrepreneurship/ Intrapreneurship-8”

MB  	

03  	

Monday 	

10:30 - 12:00 	

Kona Moku Salon C  	 “Enterprise Management-1”

MD  	

03  	

Monday 	

14:00 - 15:30 	Kona Moku Salon C  	 “New Product Development-1”

ME  	

03  	

Monday 	

16:00 - 17:30 	Kona Moku Salon C  	 “New Product Development-2”

TE  	

03  	

Tuesday 	

16:00 - 17:30 	Kona Moku Salon C  	 PANEL: “Meet the Editor’s”

WD  	

03  	

Wednesday 	 14:00 - 15:30 	Kona Moku Salon C  	 “New Product Development-3”

WE  	

03  	

Wednesday 	 16:00 - 17:30 	Kona Moku Salon C  	 “New Product Development-4”

HB  	

03  	

Thursday 	

10:30 - 12:00 	

Kona Moku Salon C  	 “Social Innovation”

MB  	

04  	

Monday 	

10:30 - 12:00 	

Waikiki Salon 1  	

“Technology Acquisition”

MD  	

04  	

Monday 	

14:00 - 15:30 	Waikiki Salon 1  	

“Technology Assessment & Evaluation-1”

36

Schedule of Sessions
ME  	

04  	

Monday 	

16:00 - 17:30 	Waikiki Salon 1  	

“Technology Assessment & Evaluation-2”

TB  	

04  	

Tuesday 	

10:30 - 12:00 	

Waikiki Salon 1  	

“Disruptive Technologies”

TD  	

04  	

Tuesday 	

14:00 - 15:30 	Waikiki Salon 1  	

“Technological Roadmapping”

TE  	

04  	

Tuesday 	

16:00 - 17:30 	Waikiki Salon 1  	

“Technological Forecasting”

WB  	

04  	

Wednesday 	 10:30 - 12:00 	

Waikiki Salon 1  	

“Internet of Things (IoT)”

WD  	

04  	

Wednesday 	 14:00 - 15:30 	Waikiki Salon 1  	

“Science & Technology Policy-3”

WE  	

04  	

Wednesday 	 16:00 - 17:30 	Waikiki Salon 1  	“Emerging Technologies-2”

HB  	

04  	

Thursday 	

10:30 - 12:00 	

Waikiki Salon 1  	

“Science & Technology Policy-4”

MB  	

05  	

Monday 	

10:30 - 12:00 	

Waikiki Salon 2  	

“Intellectual Property-1”

MD  	

05  	

Monday 	

14:00 - 15:30 	Waikiki Salon 2  	

“Intellectual Property-2”

TD  	

05  	

Tuesday 	

14:00 - 15:30 	Waikiki Salon 2  	

“Technology Adoption-1”

TE  	

05  	

Tuesday 	

16:00 - 17:30 	Waikiki Salon 2  	

“Technology Adoption-2”

WB  	

05  	

Wednesday 	 10:30 - 12:00 	

Waikiki Salon 2  	

“Intellectual Property-3”

WD  	

05  	

Wednesday 	 14:00 - 15:30 	Waikiki Salon 2  	

“Intellectual Property-4”

WE  	

05  	

Wednesday 	 16:00 - 17:30 	Waikiki Salon 2  	

“Intellectual Property-5”

MB  	

06  	

Monday 	

10:30 - 12:00 	

Waikiki Salon 3  	

“R&D Management-1”

MD  	

06  	

Monday 	

14:00 - 15:30 	Waikiki Salon 3  	

“Artificial Intelligence for Technology Management”

ME  	

06  	

Monday 	

16:00 - 17:30 	Waikiki Salon 3  	“Social Media”

TB  	

06  	

Tuesday 	

10:30 - 12:00 	

Waikiki Salon 3  	

“Decision Making-1”

TD  	

06  	

Tuesday 	

14:00 - 15:30 	Waikiki Salon 3  	

“Decision Making-2”

TE  	

06  	

Tuesday 	

16:00 - 17:30 	Waikiki Salon 3  	

“Decision Making-3”

WB  	

06  	

Wednesday 	 10:30 - 12:00 	

Waikiki Salon 3  	

“R&D Management-2”

WD  	

06  	

Wednesday 	 14:00 - 15:30 	Waikiki Salon 3  	

“R&D Management-3”

WE  	

06  	

Wednesday 	 16:00 - 17:30 	Waikiki Salon 3  	

“R&D Management-4”

MB  	

07  	

Monday 	

10:30 - 12:00 	

Milo I  	“Information Technology”

MD  	

07  	

Monday 	

14:00 - 15:30 	Milo I  	“Productivity Management”

ME  	

07  	

Monday 	

16:00 - 17:30 	Milo I  	“Cyber Security”

TB  	

07  	

Tuesday 	

10:30 - 12:00 	

Milo I  	“Project/Program Management”

MB  	

08  	

Monday 	

10:30 - 12:00 	

Milo II  	“Convergence of Technologies”

MD  	

08  	

Monday 	

14:00 - 15:30 	Milo II  	“Sustainability”

ME  	

08  	

Monday 	

16:00 - 17:30 	Milo II  	“Leadership”

TB  	

08  	

Tuesday 	

10:30 - 12:00 	

Milo II  	“Science & Technology Policy-1”

TD  	

08  	

Tuesday 	

14:00 - 15:30 	Milo II  	“Technology Management in the Energy Sector”

WB  	

08  	

Wednesday 	 10:30 - 12:00 	

Milo II  	“Science & Technology Policy-2”

WE  	

08  	

Wednesday 	 16:00 - 17:30 	Milo II  	“Strategic Management of Technology-2”

MB  	

09  	

Monday 	

10:30 - 12:00 	

Milo III  	“Global Issues”

MD  	

09  	

Monday 	

14:00 - 15:30 	Milo III  	“Manufacturing Management-1”

ME  	

09  	

Monday 	

16:00 - 17:30 	Milo III  	“Manufacturing Management-2”

37

Schedule of Sessions
TB  	

09  	

Tuesday 	

10:30 - 12:00 	

Milo III  	“Collaborations-1”

TD  	

09  	

Tuesday 	

14:00 - 15:30 	Milo III  	“Collaborations-2”

TE  	

09  	

Tuesday 	

16:00 - 17:30 	Milo III  	“Strategic Management of Technology-1”

WB  	

09  	

Wednesday 	 10:30 - 12:00 	

Milo III  	“Science and Technology Communication-1”

WD  	

09  	

Wednesday 	 14:00 - 15:30 	Milo III  	“Science and Technology Communication-2”

WE  	

09  	

Wednesday 	 16:00 - 17:30 	Milo III  	“Enterprise Management-2”

MB  	

10  	

Monday 	

10:30 - 12:00 	

Milo IV  	“Information Management-1”

MD  	

10  	

Monday 	

14:00 - 15:30 	Milo IV  	“Knowledge Management: 1”

ME  	

10  	

Monday 	

16:00 - 17:30 	Milo IV  	“Knowledge Management: 2”

TB  	

10  	

Tuesday 	

10:30 - 12:00 	

Milo IV  	“Educational Issues”

TD  	

10  	

Tuesday 	

14:00 - 15:30 	Milo IV  	“Information Management-2”

TE  	

10  	

Tuesday 	

16:00 - 17:30 	Milo IV  	“Information Management-3”

WB  	

10  	

Wednesday 	 10:30 - 12:00 	

Milo IV  	“Competitiveness”

MB  	

11  	

Monday 	

10:30 - 12:00 	

Milo V  	“Emerging Technologies-1”

MD  	

11  	

Monday 	

14:00 - 15:30 	Milo V  	“Technology Management in the Health Sector-1”

ME  	

11  	

Monday 	

16:00 - 17:30 	Milo V  	“Technology Management in the Health Sector-2”

TB  	

11  	

Tuesday 	

10:30 - 12:00 	

Milo V  	“Technology Management Framework-1”

TD  	

11  	

Tuesday 	

14:00 - 15:30 	Milo V  	“Technology Management Framework-2”

TE  	

11  	

Tuesday 	

16:00 - 17:30 	Milo V  	“Technology Diffusion”

38Personal Schedule
SundayAugust 19, 2018

MondayAugust 20, 2018

Tuesday
August 21, 2018

Wednesday
August 22, 2018

ThursdayAugust 23, 2018

Plenary - 1(Kona Moku)

Plenary - 2(Kona Moku)

Plenary - 3(Kona Moku)

Plenary - 4(Kona Moku)

08:00 – 08:30
Bright Start(Breakfast)

08:30 – 10:00(A)

10:00 – 10:30
Coffee Break

10:30 – 12:00(B)

12:00 – 14:00
Lunch BreakPICMET ’19
Planning Session(Kona Moku Salon A)

14:00 – 15:30(D)

15:30 – 16:00
Coffee Break

16:00 – 17:30(E)

19:00 – 22:00

Welcome Reception(Pualeilani Terrace)

Dinner(Pualeilani Terrace)Awards Banquet(Kona Moku)

39

Special Sessions
COUNTRY REPRESENTATIVES LUNCHMEETINGDATE: WEDNESDAY, AUGUST 22
TIME:
12:00-14:00
ROOM:	MILO V (2ND FLOOR OF
PAOAKALANI TOWER)PICMET has 132 Country Representatives in 60 countries. They provide the linkage between PICMETHeadquarters and the different parts of the world bydisseminating PICMET information in their regions,
proposing locations for future PICMET conferences, andstarting PICMET chapters in their countries. Three suchchapters, PICMET - Japan, PICMET - Korea, and PICMET- Turkey, are already in operation.

PICMET ’18 DEBRIEFING & ’19 PLANNINGSESSION
DATE: THURSDAY, AUGUST 23
TIME:
14:00-15:30
ROOM:	KONA MOKU, SALON A
This session will provide an opportunity to give feedback
on PICMET ’18 and to get involved in the planning for
the PICMET ’19 Conference that will be held in Portland,
Oregon, USA, August 25-29, 2019, at the Hilton Portland
Downtown. The theme will be “Technology Managementin the World of Intelligent Systems.”

PICMET’s co-Directors of International Activities, Dr.
Kiyoshi Niwa, Professor Emeritus, The University ofTokyo, and Dr. Dilek Cetindamar Kozanoglu, Professor,
University of Technology Sydney, invite the Country
Representatives and those who are interested in becoming Country Representatives to a meeting to discuss theroles of the Country Representatives, the procedure to
start and organize PICMET Chapters, and the requirements for holding future PICMET conferences in theircountries.
Lunch will be provided.

40

Plenaries
PLENARY SESSION-1
DATE:
TIME:
ROOM:

MONDAY, AUGUST 20
08:30-10:00
KONA MOKU BALLROOM

Session Chair: Dr. Timothy R. Anderson, Portland State
University, USA

WELCOMEThe Honorable Kirk Caldwell, Mayor of Honolulu
Mayor Kirk Caldwell studied Urban
Planning and Economics at Tufts
University, earned an M.A. from the
Fletcher School of Law and Diplomacy, and received his law degree fromthe University of Hawaii William S.
Richardson School of Law. He wasManaging Partner at the law firm of
Ashford and Wriston and began his
public service career in 2002, when
he was elected to the Hawaii State House of Representatives where he quickly rose to become the House Majority
Leader. In January 2009, Kirk was appointed Managing
Director for the City and County of Honolulu, and later
served as Acting Mayor in 2010. During his tenure at theCity, Caldwell was the primary point person for O‘ahu’s
biggest issues, transit and homelessness, and successfully
expedited $150 million in road repaving. He was elected
Mayor of the City and County of Honolulu in 2012.

KEYNOTE-1
Dr. Kathleen Eisenhardt, W. Ascherman Professor,
Stanford University, and Co-Director of the Stanford
Technology Ventures Program, Stanford University, USA“Superior Strategy in Entrepreneurial Settings”
How do entrepreneurs and executives form superior strategies in new
and growth markets? Understanding this strategy formation is theoretically intriguing because it pushes
beyond the boundary conditions of
the traditional logics of position andleverage to the less-understood opportunity logic where advantage isprecarious and often short-lived. It isalso practically relevant, especially for technology-based
firms. Strategically successful firms in these settings like
Google, Tencent, and Spotify are primary motors for economic growth, but their strategists are challenged by the“high velocity” of their markets and opportunities. Twointertwined themes are at the core of superior strategy:(1) broad view of the strategic playing field enabling better and smarter understanding of opportunities (thinking)and (2) action organized at the “edge of chaos” enablingflexible yet efficient capture of opportunities (doing). Bottlenecks link the two.
Dr. Kathleen M. Eisenhardt is the Stanford W. Ascherman
Professor of Strategy and Organization at Stanford University and co-director of the Stanford Technology Ventures
Program. Her recent best-selling book (with Don Sull) is
Strategy as Simple Rules, named a “top 10 summer read”
by the Wall Street Journal. Dr. Eisenhardt’s research sits atthe nexus of strategy and organization theory where she
focuses on high-velocity markets and technology-based
firms. She is now studying strategy in distinct economic“games” and strategy as simple rules, particularly using
multi-case methods. Her PhD is from Stanford’s Graduate
School of Business.

KEYNOTE-2
Mr. John R. McDougall, Hon Col (ret), B.Sc. (Alberta)
1967, P.Eng., CD, CStJ, C.Dir., FCAE, FEC, FGC (Hon),
Fellow PICMET, Canada“Technology, Innovation and Entrepreneurship –Sharing the Wealth in an AI World”
Traditionally, increased productivity
and innovation meant automating routine practices to replace manual labor.
As artificial intelligence, driven by vast
reams of data gathered from the installation of sensors, is added to the mix,
gains are potentially enormous.
Similarly, the utility of capital assets,
especially those which have been largely owned by individuals, are being monetized through communicationand networks which allow them to be shared and utilizedby others. These changes could conceivably lead us to aworld in which conventional work, as we have known it,
largely disappears.
However, as this occurs, our social and political systems
are being challenged and need to evolve and find ways
to identify, value and fund the contributions of large
41Plenaries
numbers of citizens who will reside outside the wealthgenerating portions of the economy. Keeping them engaged as motivated participants in the new economy will
be imperative to maintain social license for technology
developments and innovations. And technological entrepreneurs will need to consider and mitigate the social
dislocations associated with their new initiatives.
Mr. John McDougall has 50 years of experience in 75
countries in the natural resource, IT, manufacturing, consulting, real estate and investment industries as well as research and development and academia. He retired from
Canada’s National Research Council after six years as
President, a position he accepted after 12 years as CEO of
the Alberta Research Council. He was the inaugural Chairin Management for Engineers at the University of Alberta
from 1991-97, and he initiated Innoventures Canada Inc.
in 2006 to bring together Canada’s leading research andtechnology organizations providing technology development, demonstration and deployment services as centersof excellence for commercialization and research.
In the private sector, after eight years with a multinational,
he managed and founded firms in real estate, investment
and development, frontier exploration and logistics, project management, technology development, economics andeconomic development, financial and business planning,data processing and custom software development andnatural gas brokerage. He has also served as an outside
director or advisor to several public and private firms.
Mr. McDougall is an active volunteer in business, professional and not-for-profit organizations where holding
leadership positions in local, national and internationalorganizations such as The Edmonton Chamber of Commerce and World Trade Centre, Capital Care Foundation,
Engineers Canada, St. John’s Ambulance, Eureka and theG8 Heads of Research Organizations. He has also servedon dozens of academic and government committees andagencies.
He has received medals and recognition including the2015 PICMET award for Leadership in Technology Management, Honorary membership in the Mexican College ofCivil Engineers and the Queen’s Jubilee Medal.

PLENARY SESSION-2
DATE:
TIME:
ROOM:
42

TUESDAY, AUGUST 21
08:30-10:00
KONA MOKU BALLROOM

Session Chair: Dr. Dilek Cetindamar Kozanoglu,
University of Technology Sydney, Australia

KEYNOTE-1
Dr. Melissa A. Schilling, Professor, Stern School ofBusiness, New York University, New York, USA“The Making of a Serial Breakthrough Innovator”
What makes some people so spectacularly innovative? Throughout history, some people have become widely
recognized for introducing one worldchanging innovation after another. In
this keynote, I develop case studies ofeight such serial breakthrough innovators: Elon Musk, Marie Curie, SteveJobs, Albert Einstein, Nikola Tesla,
Dean Kamen, Benjamin Franklin andThomas Edison. By examining the stories of their childhoods, their work experiences, their beliefs and motives, I
identify those things they have in common with each other yet simultaneously make them unusual from the “average” person. I then examine these commonalities throughthe lenses of innovation and creativity research to examine the potential mechanisms linking these characteristics and experiences to their exceptional innovation. The
result is inspiring: The innovators do have unusual traits
and characteristics, and each benefited from situation advantages; however, we can tap many of the same mechanisms to nurture innovation in ourselves and others.
Dr. Melissa Schilling is John Herzog Family Professorof Management at New York University Stern School ofManagement. She specializes in Strategic Management,
Technological Innovation and Entrepreneurship. Her B.S.
degree in Business Administration with majors in Finance,
Marketing and Biology is from the University of Colorado,
Boulder; her PhD in Strategic Management is from the University of Washington. She is the winner of the Best Paper
Award for her paper in Management Science and Organization Science, and the recipient of numerous research
grants from Kauffman Foundation, National Science Foundation and other funding agencies. Dr. Schilling is the author of more than 200 papers, book chapters, cases andconference presentations. Her most recent book, Quirky:
The remarkable story of the traits, foibles, and genius of
breakthrough innovators that changed the world, is a deep
dive into the lives of Elon Musk, Steve Jobs, Marie Curie,
Nikola Tesla, Thomas Edison, Benjamin Franklin, Albert
Einstein and Dean Kamen. It shows the unusual things
they had in common, how these characteristics led to in-Plenaries
novation, and how we can nurture our own breakthroughinnovation potential.”

KEYNOTE-2
Dr. Bulent Atalay, Professor, University of Mary
Washington and the University of Virginia; Member,
Institute for Advanced Study, Princeton, USA“Recognizing Genius in the Age of Technology: Jobs andMusk”“Talent hits a target no one else can hit; Genius hits atarget no one else can see.”— Arthur Schopenhauer
Genius, in the broadest sense of theword, refers to individuals who display extraordinary intellectual ability
or surpassing levels of creativity, theformer quality frequently complementing the latter. But what good issoaring intelligence or lofty creativity
if there is no achievement that is universal and lasting.
Our modern age has seen the emergence of a number ofbrilliant and imaginative individuals, young heroes of theAge of Technology. Their contributions have been crucial to contemporary life: science, business, engineering,
medicine, education, publishing, information-sharing,
communication, transportation, self-driving cars, robotics,
automation, artificial intelligence (AI), entertainment, art,and social media.
Although none of the innovators or entrepreneurs of thepresent Information Revolution could ever claim levels ofcreativity in the arts and sciences comparable to a Leonardo or an Einstein, they are, nonetheless, undeniable visionaries inventing the future.
The two men on whom we will focus are Steve Jobs andElon Musk, already legends, who created a pair of companies that are already defining the future. What are theirshared attributes and their dissimilarities? What are thebattles they have waged, and as entrepreneurs of undeniably of the highest caliber, what can they teach us?
Dr. Bulent Atalay is a scientist, artist, and author. Described by NPR, PBS, Smithsonian and the Washington
Post as a “Modern Renaissance Man,” he is the author of
two best-selling books on the intersection of art, scienceand mathematics, with Leonardo, the ultimate Renaissance man, serving as the foil.
Dr. Atalay’s education in theoretical physics includes
training and research at a number of universities – Georgetown, UC-Berkeley, Princeton and Oxford. He has spent
the preponderance of his career teaching at the University of Virginia and Mary Washington.
Dr. Atalay’s best-selling book, Math and the Mona Lisa
(Smithsonian Books, 2004), has appeared in 14 languages. His last book, Leonardo’s Universe (National
Geographic Books, 2009), is in two languages, English
and Japanese. His upcoming book is entitled Creativity
and Genius: Inside the Minds of Leonardo, Shakespeare,
Newton, Beethoven, and Einstein.
He travels around the world lecturing at academic institutions and on ships of the Crystal Cruise Line. For moredetails see his website created at the behest of National
Geographic, www.bulentatalay.com

PLENARY SESSION-3
DATE:
TIME:
ROOM:

WEDNESDAY, AUGUST 22
08:30-10:00
KONA MOKU BALLROOM

Session Chair: Dr. Kiyoshi Niwa, Professor Emeritus,
The University of Tokyo, JapanKEYNOTE-1
Dr. Elicia Maine, Professor, Innovation &Entrepreneurship and Academic Director, Science& Technology Commercialization, Beedie School ofBusiness, Simon Fraser University, Vancouver, Canada“Invention to Innovation: The Role of Scientist
Entrepreneurs”
The importance of university spin-offs in thecommercialization of highly uncertain, early stage
scientific inventions is increasing. While there is a growing
body of literature on academic entrepreneurship, not much
is known about the role of star scientists in university spinoff emergence. We argue that replicable entrepreneurial
capabilities developed by scientist entrepreneurs cantranslate inventions from the scientists’ lab into wellresourced university spin-offs. We inductively develop amodel of the key role played by a star scientist entrepreneur
43Plenaries
in four interdependent entrepreneurial capabilities:
technology-market matching, claiming and protecting
the invention, assembling the founding team, and thestrategic timing of firm formation.
We compare and contrast 30 sciencebased university spinoffs – controllingfor star scientist entrepreneur – toprovide evidence suggesting that these
entrepreneurial capabilities contributeto success. From this analysis, wedraw recommendations for scientistentrepreneurs, university leadership,
and innovation policymakers.

two main projects for capacity-building and sustainableregional development. Project #1 is to build an Interactive Working Atlas (IWA) that provides comprehensive
baseline environmental assessment data to monitor andevaluate CC along mountain to reef river corridors. Project #2 is to construct a state-of-the-art Ecology (Eco) Research Park that includes an Eco Research and Testing(ERT) Lab and Eco Business Incubator (EBI) to foster
regional entrepreneurship and economic development.
Both projects involve regional government, business, andacademic participants to establish best practices for Caribbean-wide dissemination through the Open Campus of
the University of West Indies.

Dr. Elicia Maine, who is specializing in technological innovation and science entrepreneurship, has used her expertise
at home and abroad to guide innovation policy and strategy
and to mentor emerging talent. Founding educational coordinator for New Ventures BC, and Academic Director of “Invention to Innovation,” a novel graduate program in Science& Technology Commercialization, Prof. Maine was awarded
the 2017 TD / Canada Trust Distinguished Teaching Awardand was a finalist for BC TECH’s 2016 “Person of the Year”
award. An interdisciplinary scholar and engaged educator, she holds a PhD in Technology Management & Materials Engineering from Cambridge University and master’s
degrees in Technology & Policy and Materials Engineeringfrom MIT. Prof. Maine teaches “Managing TechnologicalInnovation” and “Lab to Market” at SFU’s Beedie Schoolof Business and has published her research on innovation
management in Research Policy, R&D Management, Nature
Nanotechnology and Nature Materials. She serves on the
Boards of Directors of the Foresight Cleantech Accelerator
and of BC Innovation Council’s New Ventures BC.

Given the recent and looming hurricane threat, The Center for Maximum
Potential Building Systems (CMPBS)
in now most concerned with related
LandARK and SeaArk initiatives. The
focus is on “resilient off-grid construction” using regional resources
and material, entrepreneurial talent,and innovative building technologies
and methods. LandARK construction
includes economically conceived mitigation modules
or “PODs” that are implemented as publicly accessible
hurricane resistant safe housing. SeaARK is a related seabased reef research/ecotourism facility that incorporates
repurposed submersible (floating) oil rig platforms. A
resulting pyramid shaped POD-City creates an ecotourism as a reef habitat. This temporarily submersible andself-propelled movable structure constantly adjusts forwater temperature and light and water quality to becomea satellite directed sustainable floating reef city. The LandARK and SEAark projects and innovative practices aremeant to inspire regionally-based ecosystems for sustainable value-added technology-based entrepreneurship anddevelopment.

KEYNOTE-2
Mr. Pliny Fisk III, Co-Director CMPBS Austin Texas, andProfessor Emeritus, Texas A&M University, College Station, Texas, USA“Sustainable Environments and Technological Entrepreneurship in Small Island Development States(SIDS)”
ARK (adaptation, resilience, knowledge) is a ‘think anddo’ collaboration of academic, business, and non-profit
entities formed to foster sustainable economic development while protecting marine and terrestrial environmental diversity of SIDS worldwide given challenges of
escalating climate change (CC). The current focus is on
Belize and the Caribbean to develop transformative activities and models for CC mitigation and adaptation through44

Mr. Pliny Fisk III is the Co-Founder and Co-Director of theCenter for Maximum Potential Building Systems in Austin,
Texas, and Professor Emeritus in the College of Architecture at Texas A&M University. His bachelor’s and master’s
degrees in architecture are from the University of Pennsylvania.
With a background in architecture, landscape architecture, and the systems sciences, Pliny Fisk III has made pivotal contributions in the areas of policies, protocols, andprototypes. His prototypes challenge conventional wisdom
about building system design, engineering, and materials,
and have been implemented for a range of clientele andin iconic architecture: The State Demonstration Farm inPlenaries
Laredo; The State Green Builder Demonstration Buildingin Austin, recognized as one of the top 10 green buildings
since 1980 in Architect Magazine; and the 2002 UT Schoolof Architecture Solar Decathlon and the 2007 Texas A&M
Solar Decathlon.
Mr. Fisk’s work has earned several national and international awards including the Lewis Mumford Award, theUnited Nations Earth Summit Award, the U.S. Green
Building Council’s Sacred Tree Award, and the Passive
Solar Pioneer Award from the American Solar Energy Society. He has served as an advisor to the MacArthur, Gates,
and Enterprise Foundations and has been chosen to serveon the GSA’s National Registry for Design Excellence peer
review program. He also works as an inventor. His biography, Pliny Fisk III: Creating a Maximum Potential Future,
was recently published by Ecotone Publishing, a divisionof the International Living Future Institute, as part of their
Green Masters Series.

PLENARY SESSION-4
DATE:
TIME:
ROOM:

THURSDAY, AUGUST 23
08:30-10:00
KONA MOKU BALLROOM

Session Chair: Dr. Harm-Jan Steenhuis, Hawaii Pacific
University, USA

KEYNOTE-1
Dr. Curtis R. Carlson, Founder and CEO Practice ofInnovation LLC, President and CEO SRI International(1998-2014), USA“Innovation for Impact: Value-creation as the NecessaryCompetitive Advantage”
We are in the global innovation economy. There are abundant unmet opportunities in large markets, but technology
often improves at exponential rates and global competition
is increasingly fierce. Unfortunately, today innovative success is often poor. S&P 500 companies last for less than
15 years before going away. Experience shows that mostR&D has little or no value. Most university “technology
transfer” programs lose money. The application of valuecreation best practices significantly improves innovative
output. Remarkably, few professionals have the valuecreation perspectives and skills required to systematically
identify and develop major new opportunities.

This talk reviews the innovative practices used at SRI International when
I was CEO. These practices took SRI
from 20 years of failing to tripling insize and creating tens of billions ofdollars of new market value, including HDTV, Intuitive Surgical, and Siri,now on the iPhone. Similar practices
are described in a 2017 National Academy of Engineering report on valuecreation best practices. Based on these concepts, we havecreated an “Innovation for Impact” value-creation guidebook for use by the NSF. The ability to use these practices
and systematically create important new R&D programs
and high-impact innovations are among the most important skills a professional can have.
Dr. Curtis R. Carlson served as SRI International’s CEO
from 1998 to 2014. Dr. Carlson’s new company, Practiceof Innovation, LLC, works with companies, governments,
and universities to improve innovative performance. During his time at SRI its revenue tripled, and SRI became amodel for the systematic creation of high-value innovations, such as HDTV, Intuitive Surgical, Siri, and manyother world-changing advances. Before joining SRI, Dr.
Carlson worked at RCA, GE, and the Sarnoff Corporation.
In 1977, he started and helped lead the high-definition
television (HDTV) program that became the U.S. standard. In 1997, the Sarnoff team won an Emmy. In 2000,
another team started by Dr. Carlson won an Emmy forsatellite broadcast quality.

KEYNOTE-2
Dr. Sadik Esener, Chair, Biomedical Engineering
Department at the School of Medicine, Oregon Healthand Sciences University, Portland, Oregon, USA“Enabling Projects Oriented Teams to Drive Innovation”
The study of “wicked” problems suggests that multidisciplinary teams
can accelerate innovation to solve
complex and intractable challenges
such as the early detection of cancer.
Detecting cancer early radically increases the chances of survival after acancer diagnosis, making the conceptof team-based innovation potentiallyessential to decreasing suffering fromcancer. The Knight Cancer Institute Cancer Early Detection Advanced Research (CEDAR) Center seeks to actively
45

Plenaries
implement and enable team-based science to accelerate
breakthroughs. Our center brings together researchers andentrepreneurs with a range of expertise, experience andperspective to create novel solutions that can be translated
to the marketplace. We have created a project driven, flat
hierarchy where the best ideas rise to the top and are funded. Putting a true team-based model into place requires
intention around incentives, staffing, team development,
and output measurement. We will discuss the implementation of this operational model using case studies from active and terminated projects.
Dr. Sadik Esener is the Wendt Family Endowed Chair at
the Biomedical Engineering Department at the School of
Medicine of The Oregon Health and Sciences University
in Portland, Oregon. He is the Founding Director of theCancer Early Detection Advanced Research Center at theKnight Cancer Institute. He is also a Professor in absentia
at the Electrical and Computer Sciences and Nanoengineering departments at the University of California, San
Diego.
Born in Ankara in 1956, Prof. Dr. Sadik Esener received
his BS degree in Electronic and Telecommunication Engineering from Istanbul Technical University in 1979 and46

MS degree from Michigan University in 1981. He joined
the UCSD faculty in 1987, after receiving his PhD in Applied Physics and Electrical Engineering from UCSD thesame year.
Dr. Esener is an internationally known expert in cancer
nanotechnologies, photonics and opto-electronics, andhe has been closely involved with many startup companies based on technology developed in his laboratories;
he holds more than 20 issued patents in these areas. In
the recent past he has served as the director of the NanoTumor Center, a Cancer Nanotechnology Center of Excellence funded by NCI, the DARPA-funded multi-university
Center for Chips with Heterogeneously Integrated Photonics (CHIPS), the 3D-Opto-Electronic Stacked Processors
industry/university consortium; and the Fast Readout
Optical Storage (FROST) Industry consortium. He has
authored more than 180 journal publications and 250
conference abstracts.
Dr. Esener is a member of IEEE, OSA, and SPIE, andco-founded San Diego-based Nanogen, Optical MicroMachines, Parallel Solutions, Genoptix, Devacell, Cellix, Orimedix, Ziva and Call/Recall Inc’s. Dr. Esener also
serves as the co-chair of Sabanci University Board ofTrustees.

PhD Colloquium
GETTING YOUR PHD… AND BEYOND
Critical Stages and Career Paths for the PhD Student

DATE: SUNDAY, AUGUST 19
TIME:	13:00-17:00 (COFFEE BREAK
AT 15:00)
ROOM:	SALON 3, WAIKIKI BALLROOM(3RD FLOOR OF PAOAKALANITOWER)REGIST: $40

The invited speakers and the participants will share experiences in the following areas:• Critical stages in the PhD process and how to successfully
master them• The PhD process and career paths in different countries• Coping with possible problems while pursuing the PhD
degree• Entering the job market – academia, government or industry (tips/tools for job searching)• Publishing PhD research
We encourage research students in all stages of the
Ph.D. process, as well as recent graduates, to join thiscolloquium.

CHAIR:
Dr. Nasir Sheikh, University of Bridgeport, USA
SPEAKERS:
Dr. Kishore Erukulapati, IEEE Hawaii Section andIEEE Computer Society Hawaii Chapter, USA; Dr.
Scott Cunningham, Technical University of Delft,
Netherlands, and Associate Editor, Technology
Forecasting and Social ChangeThis interactive session will give PhD candidates an excellent opportunity to learn how to successfully defend
their dissertation and how to become confident in searching for jobs in academia and industry after obtaining the
PhD degree. In addition, the PhD candidates will be able
to meet peers and colleagues, share experiences, and network with scholars from many countries.

47

Tutorial
TECH EMERGENCE

both a challenge and opportunity for measuring emergent
technologies using science and technology indicators.

DATE:
TIME:
ROOM:

R&D Emergence Indicators

MONDAY, AUGUST 20
16:00 - 17:30
KONA MOKU, SALON A

SPEAKERS: Dr. Scott Cunningham, Delft University ofTechnology; Dr. Alan Porter, Georgia Institute of Technology
This tutorial session covers three important questions.
1. What is technology emergence?
2. Why does a place become a nexus for the emergenceof a technology?
3. 
How can technology emergence be detected at theearliest of stages?
What is Technology Emergence? A Micro-Level Definition for Improving Tech Mining PracticeThere has been much research concerning emergencein technology, ever since knowledge was accepted as
the engine of economic growth. However, even though
there are a growing number of publications, the concept
remains ambiguous. Especially, 150 years of literatureon emergence is largely neglected while interpreting andunderstanding the nature of technology emergence. In
this study, we propose a new definition of technology
emergence with its aspects by considering philosophy ofscience, complexity science, and evolutionary economics
discussions. We combine such theoretical findings with
scientific change models. We believe our definition will
be more applicable for micro-level studies. Moreover,
we create and propose a multi-dimensional, hierarchicalresearch model for applying our definition with respect
to the “tech mining” process to elicit tech emergenceindicators. We look forward to rich discussion to guideour empirical analyses, as introduced in the companion
papers.
Places as a Nexus for Technological Emergence
Why are specific places so often the nexus for new
inventions? For instance, San Jose, California, welloutpaces other U.S. cities in absolute and even relative
numbers of patents. This presentation uses ideas fromthe geography of technology to better understandtechnology emergence. Features of the physical, social
and institutional environment provide strong clues.
Nonetheless, strongly innovative regions rarely persist
over time. And other technologies, including generalpurpose technologies, lack any strongly regional focus atall. These elements of geography and emergence present
48

We present our approach to detect emerging researchthrusts within target technological domains. We
highlight our approach that starts with a technologicaldomain of interest (e.g., nanotechnology, microneedles).
We search for and download abstract records coveringthat domain from global databases (e.g., Web of Science;
Derwent patents). We then extract and clean terms,
enabling calculation of emergence scores for thoseterms. Our algorithm applies filters to assure a degreeof novelty, persistence, community, and rapid growth.
We thus distinguish terms at the cutting edge of R&D in
the domain under study. In a second phase, we identify“players” (countries, organizations, or individuals)
especially actively publishing (or patenting) on thetechnology in question.
We share results for the case of nanotechnology. We see
promise in applying these R&D indicators to distinguishplayers most active on frontier topics – i.e., to measure“prominence.” The emerging topics additionally appear
to offer “predictive” value as well, distinguishing
likely hot topics for the coming couple of years. The
R&D emergence indicators thus offer potential value
to researchers, technology managers, and science
policymakers.
We also introduce a “Tech Emergence Challenge” – anupcoming contest to devise more effective indicators.
Dr. Scott Cunningham studies urban science andanalytics at the Delft University of Technology, where
he is an associate professor. He uses tweets and othertexts to understand the political motivation of citizens,
their concerns and well-being, and their stances oncomplex issues of science and technology. He works
with municipal governments in the Netherlands todesign safer, more livable cities. Prior to joining TU
Delft he worked for AT&T. He received a Ph.D. from the
Science Policy Research Unit in Science, Technology
and Innovation Policy in 1996.
Dr. Alan L. Porter is Director of R&D for SearchTechnology, Inc., Norcross, Georgia. He is also Professor
Emeritus of Industrial & Systems Engineering, and of
Public Policy, at Georgia Institute of Technology, where
he remains Co-director of the Technology Policy andAssessment Center. He is author of some 240 articles
and books, including Tech Mining (Wiley, 2005). Current
research focuses on generating technological emergenceindicators.

PanelMEET THE EDITORS
DATE:
TIME:
ROOM:

TUESDAY, AUGUST 21
16:00 - 17:30
KONA MOKU, SALON CPANELISTS: Barry Bozeman, Arizona State University;
Scott W. Cunningham, Delft University of Technology;
Tugrul U. Daim, Portland State University; Kathleen
Eisenhardt, Stanford University, Nathasit Gerdsri, Mahidol University; Elicia M. Maine, Simon Fraser University; Harm-Jan Steenhuis, Hawaii Pacific University;
Steven T. Walsh, University of New Mexico
Meet the editors of the Technology Management related
journals. The editors will be discussing the philosophies,
criteria, and submission processes of their journals andanswer questions from prospective authors.
The following journals are represented by the panelists:• J ournal of Technology Transfer, Dr. Barry Bozeman,
Arizona State University, USA; Editor•T echnological Forecasting and Social Change, Dr.
Scott Cunningham, Delft University of Technology,
Netherlands; Associate Editor• I EEE Transactions on Engineering Management,
Dr. Tugrul U. Daim, Portland State University, USA;
Editor• I nternational Journal of Technology Transfer &Commercialization, Dr. Kathleen Eisenhardt, Stanford
University, USA; Member of the Editorial Board• International Journal for Innovation & Technology
Management, Dr. Nathasit Gerdsri, Mahidol
University, Thailand; Associate Editor•T echnovation, Dr. Elicia Maine, Simon Fraser
University, Canada; Area Editor - Commercialization• Journal of Manufacturing. Technology Management
and International Journal of Information &Operations Management, Dr. Harm-Jan Steenhuis,
Hawaii Pacific University; Editor• Journal of Small Business Management, Dr. Steven
T. Walsh, University of New Mexico; Associate Editor

49

Sessions
MA-00 PLENARY - 1
DATE:
MONDAY, 8/20/2018
TIME:
08:30 - 10:00
ROOM:
KONA MOKU BALLROOMCHAIR:	TIMOTHY R ANDERSON; PORTLAND
STATE UNIVERSITY

insights about future developments or changes of an organization’s business environment,
after which OL integrates the obtained information into the strategic planning process.
It is important to include the concepts of SF and OL into the DC framework, because anorganization without learning cannot integrate information into the organizational decisionmaking process. The results of the SLR present a triangle relationship among DC, SF and
OL that can help to operationalize the DC framework. A practical application of dynamic
capabilities facilitates the long-term performance and sustainability of an organization.

MA-00.1 [K] Superior Strategy in Entrepreneurial Settings

MB-01.2 [R] A Framework and Evaluation Model to Determine Industry
Velocity

Kathleen Eisenhardt; Stanford University, United States
How do entrepreneurs and executives form superior strategies in new and growth markets?
Understanding this strategy formation is theoretically intriguing because it pushes beyond
the boundary conditions of the traditional logics of position and leverage to the lessunderstood opportunity logic where advantage is precarious and often short-lived. It is also
practically relevant, especially for technology-based firms. Strategically successful firms inthese settings like Google, Tencent, and Spotify are primary motors for economic growth,
but their strategists are challenged by the “high velocity” of their markets and opportunities.
Two intertwined themes are at the core of superior strategy: (1) broad view of the strategic
playing field enabling better and smarter understanding of opportunities (thinking) and (2)action organized at the “edge of chaos” enabling flexible yet efficient capture of opportunities(doing). Bottlenecks link the two.
MA-00.2 [K]Technology, Innovation and Entrepreneurship – Sharing the
Wealth in an AI WorldJohn McDougall; National Research Council, Canada
Traditionally, increased productivity and innovation meant automating routine practices toreplace manual labor. As artificial intelligence, driven by vast reams of data gathered fromthe installation of sensors, is added to the mix, gains are potentially enormous. Similarly, theutility of capital assets, especially those which have been largely owned by individuals, arebeing monetized through communication and networks which allow them to be shared andutilized by others. These changes could conceivably lead us to a world in which conventional
work, as we have known it, largely disappears. However, as this occurs, our social andpolitical systems are being challenged and need to evolve and find ways to identify, value
and fund the contributions of large numbers of citizens who will reside outside the wealthgenerating portions of the economy. Keeping them engaged as motivated participants in the
new economy will be imperative to maintain social license for technology developments andinnovations. And technological entrepreneurs will need to consider and mitigate the social
dislocations associated with their new initiatives.
MB-01 Innovation Management-1
Monday, 8/20/2018, 10:30 - 12:00
Room: Kona Moku Salon A
Chair(s) Ronald Vatananan-Thesenvitz; Bangkok University
MB-01.1 [R] A Systematic Literature Review of Dynamic Capabilities,
Strategic Foresight and Organizational Learning
Nonthapat Pulsri; Bangkok University, Thailand
Ronald Vatananan-Thesenvitz; Bangkok University, Thailand
The systematic literature review (SLR) presented in this paper analyzes the relationships
among dynamic capabilities, strategic foresight and organizational learning. The purpose of
the SLR on dynamic capabilities (DC), strategic foresight (SF) and organizational learning(OL) is to advance the academic perspective on dynamic capabilities by analyzing how SF
and OL integrate into the DC framework. This advancement is necessary since the pace ofchanges in an organization’s environment is increasing, causing competitive pressure to
rise. An organization needs to address such changes by adjusting existing capabilities or
acquire new ones and thus strengthen its competitiveness. SF provides information and50

Krip Metanantakul; Bangkok University, Thailand
Ronald Vatananan-Thesenvitz; Bangkok University, Thailand
Dongcheol Heo; Bangkok University, Thailand
An important skill for any organization to secure their survival is an ability to match theirinternal capabilities with external demands of their business environment. Unfortunately,
most firms fail to understand what is really a factual demand of their business environment,
since changes occur unexpectedly and ambiguously. As a result, numerous researchers aretrying to build theories and models that can evaluate changes in the business environmentof an organization. Environmental velocity is one theory that can help both academics
and practitioners to understand changes in the industry an organization operates in.
Environmental velocity assesses the rate and direction of change for a given industry, toclassify it into low, medium or high velocity. Understanding the velocity of an organization’s
business environment will help management to develop a suitable strategy that can effectively
handle the changes in their industry. The purpose of the research proposed in this paper is todevelop a quantitative measurement tool for environmental velocity. At present, most of theexisting assessment models are qualitative in nature, where the judgment of velocity is basedon opinion. To build a velocity assessment model, the proposed research examines relevant
criteria and their relative effect on environmental velocity across industries with different
velocities. With such an assessment model, organizations are able to prepare themselves forchanges in their business environment and thus reduce some of the uncertainties and risks
associated with them.
MB-01.3 [R] Diverse Ties with Service Intermediaries and Established Firms’
Service Innovation: The Moderating Role of Technological Capability
Lin Wang; Chongqing Technology and Business University, China
Yuelong Zheng; Chongqing Technology and Business University, China
Zhongyi Huang; Chongqing Technology and Business University, China
In this study, we examine the relationship between established manufacturing firms’
diverse ties with service intermediaries and their service innovation. Because service
intermediaries continuously produce knowledge and act as channels that provide accessto external knowledge, thereby diverse ties with service intermediaries grant the firms toextensive heterogeneous and non-local knowledge sources in a way that firms with primarily
redundant ties do not. We propose that established manufacturing firms’ diverse ties withservice intermediaries enable the firms to access the external knowledge and contribute to
the firms’ service innovation by broadening the scope of search as well as facilitating thenon-local search. Moreover, we argue that the positive relationship between diverse ties withservice intermediaries and established firms’ service innovation will become stronger whenfirms possess more technological capability. Based upon a sample of established firms in
China, our results support these arguments.
MB-02 E-BusinessMonday, 8/20/2018, 10:30 - 12:00
Room: Kona Moku Salon B
Chair(s) H.Y. Lam; The Hong Kong Polytechnic University
MB-02.1 [R] Design of an Enhanced Logistics Service Provider Selection
Model for e-Commerce Application

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
C.C. Luk; The Hong Kong Polytechnic University, Hong Kong
King-lun T Choy; The Hong Kong Polytechnic University, Hong Kong
H.Y. Lam; The Hong Kong Polytechnic University, Hong Kong
With the increasing popularity of online shopping, customers’ purchasing habits aregradually changing in that they often prefer to buy goods online instead of visiting a physicalretail store. Hence, the business-to-customer (B2C) e-commerce concept has emerged tobring convenience and flexibility to customers. By shifting the traditional business model
to e-commerce, the seller, e.g., supplier or retailer, not only concentrates on directly selling
goods to customers online, but also needs to manage the whole business process, including
product delivery to customers within a short period of time. To focus on the core business,the logistics function in the B2C market is usually outsourced to a logistics service provider(LSP). However, sellers who are new to the e-commerce market may find it difficult to selectan appropriate LSP to fulfill their needs. In this paper, an enhanced logistics service provider
selection (ELSPS) model is proposed for selecting an appropriate partner for providing
delivery services under the e-commerce environment. A double fuzzy analytical hierarchy
processing (FAHP) approach is applied for multi-criteria decision analysis in LSP selection
and follow-up action prioritization. A pilot study is conducted, and the results provide asystematic approach and guidelines for newcomers to enter into the e-commerce market.
MB-02.2 [R] Mobile Payment in Taiwan: Taking Apple Pay as an Example
Hung-An Wu; Minghsin University of Science & Technology, Taiwan
Yi-Hsien Tu; Minghsin University of Science & Technology, Taiwan
Xing Wang Lee; Minghsin University of Science & Technology, Taiwan
Mobile payment, which was a convenient, efficient, easy-to-use tool that was not limited
by area, increased our life quality. Since Apple pay got into the Taiwan market in 2017, themobile payment was becoming the newest tool and was focused on by the financial market
in Taiwan. As a result, it was urgent to understand Taiwanese consumers’ purchase behavior
in using a mobile payment service. A questionnaire was used to collect data, and there were
222 samples in this research. According to the literature review, the technology acceptancemodel, perceived risk, perceived convenience, and use intention were proposed to analyze
the Taiwanese consumers’ behavior in using mobile payment service. The demographic
analysis, reliability analysis, t-test, one-way ANOVA, and regression analysis were used instatistical analysis, and the results of the research indicated: 1. Perceived usefulness (PU)and perceived risk (PR) significantly contribute to the model. The perceived usefulness
positively influenced the users in Taiwan. Perceived risk negatively influenced users. 2. For
gender differences, there was no statistical differentiation. The gender differences seem tonot have significantly influenced the consumers’ PEU (perceived ease of use), PU (perceived
usefulness), PR (perceived risk), PC (perceived convenience), and UI (use intention). 3.
The frequency of consumers using mobile payments is having obvious differentiation on
perceived useless, perceived ease of use, perceived risk, perceived convenience and use
intention, which indicated that the people who never used the mobile payment service hadhigher risk perception, and lower perceived ease of use, perceived usefulness, perceived
convenience, and use intention than those who had experienced mobile payment service.
MB-02.3 [A] Using Crowdfunding in an Innovative Way: A Case Study from a
Chinese Crowdfunding Platform
Xuefeng Liu; Xiamen University, China
Zhao Wang; Xiamen University, China
In this study we try to suggest a new model of crowdfunding platform based on the description
and analyses of several innovations made by a Chinese platform enterprise engaging incrowdfunding for hostels, cafes and so forth. Firstly, different from traditional crowdfunding
models, this emerging platform enterprise combines reward-based crowdfunding withequity-based crowdfunding (or lending-based crowdfunding). Such kinds of crowdfunding
models make the transitions that the roles of backers are not merely customers, stockholders,or creditors but a dual role as being customers and stockholders (or creditors) at the sametime. Secondly, to further motivate the communication among backers and fundraisers,

the Chinese platform enterprise tried to create the community of stockholders and themembership system which make it possible that even backers and fundraisers of different
projects could make connections with each other. Thirdly, the platform creating is the firststep adopted by the enterprise to create a comprehensive business ecosystem, consistingof operational supporting, institutional investors, entrepreneurship service, intelligent hotelmanagement service, content service, as well as famous OTAs. Such a comprehensive
ecosystem offers more connectivity and promotes the distribution of information. We focus
on the model development and try to provide insights for the growth and development ofcrowdfunding.
MB-03 Enterprise Management-1
Monday, 8/20/2018, 10:30 - 12:00
Room: Kona Moku Salon C
Chair(s) Xiao Han; Beijing Institute of Technology
MB-03.1 [R] Exploring the Relationship between Relevance of Coalition
Loyalty Programs and Loyalty
Hong Wang; Beijing Institute of Technology, China
Daniela Corsaro; Catholic University of the Sacred Heart, Italy
Xiao Han; Beijing Institute of Technology, China
Xin Qi; Beijing Institute of Technology, China
Di Kuang; Beijing Institute of Technology, China
Coalition loyalty programs are on the rise around the world. This paper proposes the constructof Relevance of Coalition Loyalty Programs. The construct comprises two dimensions:convenience of redeem points and product fit. We developed the scale of Relevance of
Coalition Loyalty Programs. Further, a structural equation modeling was used to examine
the effect of convenience of redeem points and product fit on customer satisfaction andcustomer loyalty. The results show that convenience of redeem points and product fit havea significant impact on customer satisfaction. Product fit has a significant relationship withcustomer loyalty, but convenience of redeem points has no significant effect on customer
loyalty. In addition, customer satisfaction partly mediates the relationship between productfit and customer loyalty. This article provides a theoretical guidance on designing a coalition
loyalty program and enhancing customer loyalty for enterprise managers.
MB-03.2 [R] The Influence Factors on Young Consumers’ Green Purchase
Behavior: Perspective Based on Theory of Consumption Value
Hong Wang; Beijing Institute of Technology, China
Xiao Han; Beijing Institute of Technology, China
Di Kuang; Beijing Institute of Technology, China
Zhichen Hu; Beijing Institute of Technology, China
With the rise of green consumption, green products gradually have become a part of people’s
lives. Studies on green consumption behavior have become a focus for enterprises andscholars. To verify the assumptions of this paper, questionnaires were carried out among
young consumers who have purchased green products. The present research studies theinfluence factors of green purchase behavior based on the theory of consumption value
and examines whether there are significant differences in consumption values and green
purchase behavior between male consumers and female consumers. The results show thatconditional value and epistemic value have a positive effect on green purchase behavior,
but functional value, social value and emotional value have no effect on green purchasebehavior. Compared with male consumers, female consumers place higher conditional value
and epistemic value on green products. In marketing practice, this study would be helpful forgovernment and enterprises to take effective measures to promote green purchase behavior.
MB-03.3 [A] The Effectiveness and Problems of Talent Policy Implementationin China: Taking Major Talent Project as an Example
Jianquan Ma; Tsinghua University, China
Xuan Liu; National Academy of Innovation Strategy, China

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

51

Sessions
HongWei Wang; National Academy of Innovation Strategy, China
YingJie Li; Tsinghua University, China
In 2010, China released National Medium and Long-Term Talents Development Plan (20102020) and proposed 12 major talent projects. Based on the goals of these talent projects, thispaper divides 12 major talent projects into 40 sub-tasks and 56 task objectives. Through thelogical framework method and statistical analysis, this paper compares the objectives withactual completion, and finds that although the major talent project as a whole is promoted
in an orderly manner under the impetus of the ministries and commissions, there are still
obstructions in policy implementation such as follows: document implementation, conflict ofpolicies among various departments, lack of systematic design, etc., which means the policy
lacks of systematic, persistent and stability. These reasons lead to the results that the lessthe leading departments are, the better the projects performed; the less complex the object
talents are, the better the projects performed; some of the talent projects are even reduced
as political achievement. The implementation of talent projects needs to be further optimized
and improved.
MB-04 Technology Acquisition
Monday, 8/20/2018, 10:30 - 12:00
Room: Waikiki Salon 1
Chair(s) Yuichi Washida; Hitotsubashi University
MB-04.1 [R] How Should Japanese Companies Build Absorptive Capacity at
the Team Level?
Xiang Yu; Hitotsubashi University, China
Yuichi Washida; Hitotsubashi University, Japan
Absorptive capacity (ACAP) has been defined as a set of dynamic organizational routinesand processes, by which firms acquire, assimilate, transform, and exploit knowledge. Since
open innovation, especially inbound open innovation and coupled open innovation, needs
teams to absorb external knowledge, ACAP is a prerequisite for open innovation. However,a multitude of Japanese companies have difficulty in building ACAP and there is little
conceptual framing and empirical effort to find out the reason for a team’s level. Therefore,
this paper investigates what Japanese companies’ teams should do to build ACAP for open
innovation, with a focus on two key factors that influence ACAP: gatekeeper and combinative
capabilities. Based on an empirical study which focuses on a project team’s business context
in one of Japan’s largest IT service companies, this paper examines the actual conditionsof gatekeeper and combinative capabilities, as well as the level of PACAP and RACAP in
one project team of this company. The results suggest that a project team that has enoughcombinative capabilities and gatekeepers with sufficient ability and authority will likely have ahigh level of ACAP. This paper also suggests what Japanese companies’ teams should do todevelop combinative capabilities and how to support their gatekeepers.
MB-04.2 [R] A Technological Return to Originating Firms from Knowledge
Spillovers
Tohru Yoshioka-Kobayashi; The University of Tokyo, Japan
Toshiya Watanabe; The University of Tokyo, Japan
This paper empirically examines one of the benefits of outbound technology; i.e.,
technological returns to originating firms which revealed, licensed, or simply spilled overtheir technologies. Most open technological innovation literature has focused on inboundinnovation, with few papers mentioning the value of outbound technological innovation.
These papers found the phenomena of learning-by-exposure or recipient-guided unfamiliar
knowledge exploration, which entails technological learning by an original technology holder
from those who had learned from the originator. Although this discovery is unique, they left
one question: Can outbound technology be used as a strategic tool to learn from technologicalalliance partners? We examined this by using patents from 114 research consortia withthe assumption that citations of patents with certain time-lags represent knowledge flows
between two parties. We analyzed 913 backward and forward citation pairs that share the52same applicant. Our quantitative test illustrates the positive effect of technological knowledge
spillovers and subsequent absorption of the focal technology. Patents indirectly citing patentsfrom originating firms via patents from others show significantly high technological value;
however, this effect is only observed in spillovers to third parties of research consortia. In
other words, recipient-guided exploration is an almost-uncontrollable side effect. At the sametime, our analysis revealed that knowledge spillovers are not always negative for originating
firms.
MB-04.3 [R] Identifying the Core Knowledge Domains of Emerging
Technologies: The Case of New Energy Vehicles
Hailong Wang; Dalian University of Technology, China
Kaikai Liu; Dalian University of Technology, China
Shixiang Long; University of Toyama, Japan
Basic research plays a key role in delivering technological and industrial innovation,
especially in the emerging industries. Therefore, how to identify the core knowledge domains
in cutting-edge technologies presents important strategic implications for both researchersand practitioners. This paper aims to explore the core knowledge domains and theirevolutionary dynamics in such an emerging technology as the new energy vehicle. Collecting
data of research papers from Web of Science as samples, it firstly constructs a field citation
network of main research domains. Secondly, it uses the input-output method to measure
the knowledge frontiers and the knowledge bases, with scientific sensitivity coefficient andscientific influence coefficient as measurement indicators, respectively. Finally, it explores
the evolutionary dynamics of the frontier and core knowledge domains from 1991 to 2015.
Results show that core knowledge fields in the new energy vehicles consist of energy
fuels, electrochemistry, chemistry, transportation, environment sciences, etc., and they
had different pushing and pulling effects on the research of the new energy vehicle during
different development phases.
MB-05 Intellectual Property-1
Monday, 8/20/2018, 10:30 - 12:00
Room: Waikiki Salon 2
Chair(s) Yaeko Mitsumori; Tsukuba University
MB-05.1 [R] An Analysis of the Impact of TRIPS’ Special Exemption for LDCs
on the Bangladesh Pharmaceutical Industry
Yaeko Mitsumori; Osaka University, Japan
Following the enforcement of the WTO’s Agreement on Trade-Related Aspects of Intellectual
Property Rights (TRIPS), all WTO members were required to introduce a “TRIPS compatible
patent law (including product patents)” in their countries. However, a grace period was
granted to LDCs, including Bangladesh, in this regard. Today, Bangladesh is exempted fromintroducing product patents until 2033 owing to TRIPS’ special treatment. Different fromother LDCs, Bangladesh has a strong pharmaceutical industry, and domestic pharmaceuticalcompanies occupy the majority of Bangladesh’s pharmaceutical market. This study will
analyze the impact of TRIPS’ special treatment for LDCs on the Bangladesh pharmaceuticalindustry. The special exemption of TRIPS allows Bangladesh’s pharmaceutical companies
to imitate brand name drugs that are patent-protected in other countries, and to sell thesedrugs in both domestic and overseas markets. However, the level of technology in many
Bangladesh pharmaceutical companies is not advanced. Only a few of Bangladesh’s firms
can export their products to advanced markets. Moreover, rapid economic development of
the Bangladesh economy might cause a reconsideration of LDC status of Bangladesh in
the future. Based on statistical data analysis and a series of interviews with stakeholders in
Bangladesh, this study will first observe the current status of Bangladesh’s pharmaceuticalindustry, and thereafter analyze the impacts of TRIPS on the market.
MB-05.2 [R] Assessing ‘Start-up Readiness’ for Research Topics
and Researchers: Case Studies of Research-Based Start-Ups in the
Biopharmaceutical Domain

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
Tomotaka Goji; The University of Tokyo, Japan
Yuki Hayashi; The University of Tokyo, Japan
Hiroko Yamano; The University of Tokyo, Japan
Takanari Matsuda; The University of Tokyo, Japan
Ichiro Sakata; The University of Tokyo, Japan
This paper presents an assessment, using global databases of start-up finances andacademic research papers of “start-up readiness” of research topics and researchers related
to commercialization-oriented fundamental research. For research domains such as life
sciences that pursue fundamental scientific understanding and applications intended for
immediate use, academic entrepreneurship has played a pivotal role in commercialization.
Case studies of start-ups in the biopharmaceutical research domain suggest that thebiopharmaceutical field has abundant opportunities stemming from scientific research,commercialization, and entrepreneurship in life sciences. This assessment method sorts
specific industry segments by which financing activities are active, and by which related
growing research topics attract increased academic attention. We constructed networks ofauthor citation and co-authorship from paper citation networks related to research topics inindustry segments in the biopharmaceutical domain. Results obtained across all the research
topics we surveyed demonstrated that authors in the top 10% of degree centrality ranking
in both networks are far more likely to be start-up participants than other authors. Morethan conventional research methods, our computational approach might provide convenient,dynamic comprehensive, global and real-time understanding of “start-up readiness” ofresearch topics and researchers in user-inspired fundamental research.
MB-05.3 [R] Forensic Analysis of Inventor Qualifications using Social Media
Data
Joseph C Edmondson; Portland State University, United States
Inventorship is required for patent validity. This paper provides a data collection andanalytical process to forensically evaluate the issue of inventorship. This paper proposesa metric, the Inventor Quality Factor (IQF), as a baseline measurement tool. This analyticalprocess for the determination of the IQF is straightforward and may be automated by using
data obtained from the Internet. Application of this forensic method can be done in a relatively
low-cost manner by using automated search tools directed at social networks where people“post” their qualifications.
MB-05.4 [R] Questionnaire Survey at Universities on Utilization of Patent
Information for Academic Science and Technology Researches
Yoshitoshi Tanaka; Tokyo Institute of Technology, Japan
Toshiyuki Inui; IPNJ International Patent Office, Japan
Suzuka Yoshida; Tokyo Institute of Technology, JapanIt seems that, currently, patent information is not fully utilized for academic researchat university. What kind of consciousness do university researchers have about patent
information? In response to this question, we designed a questionnaire aimed at clarifying its
actual condition and consciousness based on a preliminary hearing of university researchers.
This questionnaire was sent to 319 laboratories of the top 35 Japanese universities, where
their number of patent applications are positioned as top ranking. In addition to clarifying thesituation of utilization of patent information for their own science and technology research,
we visualized the consciousness of university researchers concerning basic research andcommercial research, extracted the issues in patent information utilization, and, finally, wesuggested important factors to utilize patent information for science and technology research.
Also, we suggested the transition of basic research to commercial research along with theprocesses of research progress. This paper aims to derive hints for science and technology
research at universities to be able to more efficiently contribute to society launching a startup
company or a venture company utilizing patent information in the future. We expect this to be
an important message in the field of managing technological entrepreneurship.
MB-06 R&D Management-1

Monday, 8/20/2018, 10:30 - 12:00
Room: Waikiki Salon 3
Chair(s) La-or Kovavisaruch; National Electronics and Computer Tech. Center
MB-06.1 [R] The Factors Affecting Joint R&D in the Service Industry:
Focusing on Organizational Innovation and Defense Mechanisms
Do Bum Chung; KISTI, Korea, South
Hye-Jeong Jang; KISTI, Korea, South
Byungil Kim; Andong National University, Korea, South
Today, technological innovation activities are very important for the survival and competitive
advantage of firms, and then many firms are doing joint R&D. In particular, the size andproportion of the service industry have been increasing steadily in recent years, and theinterest in technological innovation is also increasing. However, since the previous studies
have dealt with the manufacturing industry, this study focuses on the factors affecting joint
R&D in the service industry. For the analysis, we use the data from the Korean Innovation
Survey (KIS) in 2016 conducted by the Science and Technology Policy Institute (STEPI).
Among the data of the service industry, only those firms that have performed actual R&D
activities are selected. As a result of the analysis, it is found that the firms that performed
organizational innovation positively influence joint R&D for technological innovation
activities. In addition, firms with defense mechanisms such as securing intellectual property
and confidentiality within the firm have positive effects on joint R&D. It is very importantfor firms to acquire new knowledge while protecting their knowledge, because the service
industry is a knowledge-intensive industry. The results of this study will do much for setting
up firms’ strategies for joint R&D.
MB-06.2 [R] Conceptual Approach to the Development of Technology
Evolution Network Based on Structural and Semantic Analysis
Ho-Joon Lee; U1 University, Korea, South
Youngjung Geum; Seoul National University of Science & Technology, Korea, South
Since technology plays a key role in new product/service development, many techniques
have been developed to analyze technology evolution. Among the many techniques, citation
network analysis has been actively used for identifying technological trajectory. Even if there
have been numerous studies to employ citation network to analyze technological evolution, it
still remains a void in the literature how to differentiate each citation’s role in the technology
evolution network. Generally, a paper or patent cites 20 to 30 references. However, moststudies consider the importance of these citations as homogeneous, with less considerationon the importance of each individual citation. This can cause significant misleading fortechnological evolution analysis. Even if some studies tried to employ content-based citation
analysis, these still remain conceptual. In response, this study suggests a new approachto analyzing the technology evolution network by reflecting on the role of each citation,
considering both structural and semantic perspectives. For this purpose, we use natural
language processing and machine learning techniques to identify the importance of eachcitation by analyzing descriptive styles and semantic meanings. Thus, how each citationdiffers in terms of mediating technological knowledge flow can be measured, considering thefrequency, structural position, and descriptive styles of each citation. Using a different weight
for each citation, a new way of network analysis is suggested to analyze technology evolution.
MB-06.3 [R] Internationalization of Research Activities of Thai Researchers:
A Case Study
Sineenat T Watanavisit; National Electronics and Computer Tech. Center, Thailand
La-or Kovavisaruch; National Electronics and Computer Tech. Center, Thailand
The main purpose of the study is to examine the main factors of internationalization of research
activities of Thai researchers at a research and development (R&D) organization in electronics
and computer technology in Thailand. The study is based on an internationalization approach
focusing on three aspects of organizational environment and support for research activities:
internationally-oriented research, foreign researcher employment, and international academic

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

53

Sessionsactivity support. Data were collected through an online questionnaire that is adapted fromthe two survey questionnaires by Daizen (2015) and by Kwiek (2015) involving 100 Thai
researchers at the R&D organization. With a 30% response rate to the survey, the key findings
from statistical analysis show that two of three components of organizational environmentand support, which are internationally-oriented research and international academic activity
support, positively relates to internationalization of research activities of Thai researchersat the R&D organization. On the other hand, the factor of foreign researcher employment
doesn’t affect the internationalization of research activity for this case. The major practicalcontribution of the study is that it provides some important factors of internationalizationof research activities to R&D organizations for designing their research activities anddeveloping a strategic plan for international research collaboration in order to enhance alevel of internationalization of both the individual and organization.
MB-07 Information Technology
Monday, 8/20/2018, 10:30 - 12:00
Room: Milo I
Chair(s) Naoshi Uchihira; Japan Advanced Institute of Science andTechnology
MB-07.1 [R] The Evolutionary Process of IT Concept Words: A Case Study on
IoT
Rieko Kataoka; Japan Advanced Institute of Science and Technology, Japan
Naoshi Uchihira; Japan Advanced Institute of Science and Technology, Japan
Yasuo Ikawa; Japan Advanced Institute of Science and Technology, Japan
In information technology, new concept words appear every few years and affect the businessenvironment. In several cases, the core technologies and architectures have remained thesame despite minor changes in concepts. For example, Bigdata was succeeded by the IoT(Internet of Things). The trend in concept words reveals an evolutionary pattern. In this study,
we applied a text mining approach to analyzing all the articles in several popular IT magazinesfor 15 years, and we proposed a new model of IT concept words transition. The model showsthat there are three phases of concept evolution. Some related concepts appeared together
in the first phase. In the second phase, such a group of words integrates to form a newconcept. Finally, the concept develops into a general word and gains recognition in eachindustry as a completely specialized concept. This is the third series of research since ourpapers for PICMET 2014 and 2016 focused on Cloud Computing. In this paper, we re-analyze
the articles by expanding two more years focusing on Bigdata and IoT in addition to Cloud
Computing. As a result, we show that the confidence level of the model is further increased.
MB-07.2 [R] An IT Service Development Model Based on a Service
Ecosystem: Case Studies of Cloud Service Companies
Kenichiro Banka; Japan Advanced Institute of Science and Technology, Japan
Naoshi Uchihira; Japan Advanced Institute of Science and Technology, Japan
In recent years, information technology (IT) companies as IT providers have developed not
only IT systems but also related services for users. These providers aim to standardize IT
services to reduce development costs and improve quality. However, IT service requirements
differ for each user; therefore, the providers cannot completely meet the users’ requirements.
Furthermore, the business environment of users is changing rapidly, and accordingly, theIT services should change as well. Therefore, IT providers cannot manage a continuous IT
service development process very well. To address this challenge, we propose a new IT
service development model based on a service ecosystem. This model suggests building
a service ecosystem and defining the requirement phase before IT service development.
Furthermore, it recommends that IT providers develop IT services and create value withpartners in the service ecosystem. Consequently, there are diverse IT services in the service
ecosystem. Compared with traditional IT development models, the IT providers can manage
their services more effectively with the implementation of the proposed model.
MB-07.3 [R] Opportunities and Challenges of Embracing Smart Factory inSouth Africa

54

Anup Prodhan; University of Johannesburg, South Africa
John Francis Agwa-Ejon; University of Johannesburg, South Africa
The fourth industrial revolution combines cyber-physical systems with manufacturing
processes, enabling industries to automate and maintain their production in real time. Smarttechnologies open new global markets and increase global economy; however, there aresome challenges associated with the implementation such as lack of skilled manpower, social
inequality, potential disruption in the labor market, cyber-risks, etc. This paper investigatesthe opportunities and challenges associated with the adoption and implementation of smart
factory in South Africa using extensive review of available literatures, which is verified
using a single South African case study. It was observed that the current adoption of smart
technologies is low. South African manufacturing industry and existing workforce will require
upgrades to match skills required for smart factory. Smart factory may displace a specificlabor force with automation; however, it will also create new types of jobs. Some industries
are already using flexible production and producing customer-specific goods, whichindicates that these industries will easily transform to mass customization. Cyber-risks andprivacy issues of the digital revolution provide a platform for existing ICT professionals toengage in R&D, as well as create new jobs related to development of security systems andsoftware. Industries and people are showing certain level of acceptance; however, they are yet
to fully engage in smart factory.
MB-08 Convergence of Technologies
Monday, 8/20/2018, 10:30 - 12:00
Room: Milo II
Chair(s) Marina Dabic; Nottingham Trent University & University of Zagreb
MB-08.1 [R] Anticipating Industry Convergence in the Context of Industry 4.0
Svetlana Okara; University of Muenster, Germany
Stefanie Broering; University of Bonn, Germany
Nathalie Sick; University of Technology Sydney, Australia
The merger of the digital and physical world in the context of Industry 4.0 is about to disrupt
value chains and markets in almost every industry sector. In this context, the Internet ofThings (IoT), enabling linkages and communication between physical and virtual objects, isthe technological foundation of implementing Industry 4.0. In such a fast-paced environment,
it is vital for companies to react quickly and exploit new business opportunities. One criticalexample is the interplay between logistics and information and communications technology(ICT) industries, where IoT has the potential to align goods and information flows in an
unprecedented manner. The arising new functionalities, services and products show potential
to blur the industries’ boundaries and give birth to a whole new industry segment. Therefore,
the present study strives to anticipate industry convergence between logistics and ICT
industries in the realm of IoT. The empirical patent analysis is based on IPC co-classification
and assignee structure. The analyses are refined along the different levels of IoT to provide
detailed insights for companies where new technological and market competences need tobe acquired.
MB-08.2 [A] Third Mission Goings-On and Academic Entrepreneurs in Europe
Marina Dabic; Nottingham Trent University & University of Zagreb, United Kingdom
Ivana Kovac; University of Zagreb, FEB, Croatia
Davor Labas; University of Zagreb, Croatia
Ivan Novak; University of Zagreb, FEB, Croatia
Mile Bosnjak; University of Zagreb, FEB, Croatia
Academic entrepreneurship and the process of establishing new firms are rooted intechnologies and knowledge resulting from the research carried out at universities. Thus, they
have served as engines of growth in the USA since the Bay-Dole Act, and presently Europe
and China are trying to catch up. The article aims at recommending a research agenda at theintersection of the functions of knowledge transfer from universities from the perspective of
academic entrepreneurship and the role of universities’ third mission. Talent management
teams are crucial to managing knowledge and technology transfer successfully in today’s
global world. Hence, research on this intersection should endeavor to find out antecedents,

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsconsequents and the processes of how the talented people clustered in detached teams,
the human capital of spin-offs and born global organizations can become the source ofcompetitive advantage as regards managing entrepreneurship within the university. The
literature review search was conducted in SSCI-Web of Science Core Collection databases
focusing on journal articles and review with the limitation that conference papers, books andother scientific contributions not abstracted there were not included.
MB-08.3 [R] Ingredients of Successful Emerging Business Ecosystems: Caseof Industrial IoT Adoption
Ranjit Gupta; Tokyo Institute of Technology, Japan
Kumiko Miyazaki; Tokyo Institute of Technology, Japan
Yuya Kajikawa; Tokyo Institute of Technology, JapanAn emerging business ecosystem presents a future new value creation opportunity for firmsthat choose to collaborate effectively in a timely manner. This paper combines innovation
diffusion, systems transition, innovation systems and business ecosystem literature to
identify ingredients in ecosystem-dependent firms. These insights are applied to the caseof Industrial Internet of Things (IoT) adoption from an ecosystem actors’ perspective. Twocontrasting engagement models are presented based on this guidance that possess a higher
likelihood of success.
MB-08.4 [R] Study on the Impact of Internet Development on TalentTransformation
Yuanxi Huang; China Association for Science and Technology, China
Guang Yang; China Association for Science and Technology, China
Over the past 50 years, the Internet has continuously created new production modes andconsumption patterns, deeply affecting the living vision of human society, impacting thetransformation of talent as well. The development of the Internet has significantly improved
the interconnection and intercommunication capability of human and introduced the world toa brand-new digital economy. Meanwhile, it has also intensified a new round of global talent
competition. Internet talents widely exist in every industry and level of social production andliving, which means the knowledge structure, quality, ability of talent have been continuously
updated with the fast-changing Internet technology and business model. Internet mode
evolution triggers new transformation for talent supply and demand. Internet development
enriched the values of talent cultivation. Internet impacts on talent development in various
ways and comprehensively. All countries in the world should try to construct a positive andgood environment to face the talent transformation.
MB-09 Global Issues
Monday, 8/20/2018, 10:30 - 12:00
Room: Milo III
Chair(s) Hung-Chun Huang; National Chi Nan University
MB-09.1 [A] Re-imagining Green Supply Chain Management (GrSCM)
Implementation Strategies in a Globalized World
Abednico L Montshiwa; Tohoku University, Japan
Green supply chain management implementation strategies in disaster prone regions arelimited; the paper presents supply chain cooperation as an economic, social and politicalimplementation tool in an effort to fill this gap. In exploring this, the study introduces supply
chain cooperation in a three-phase competitive advantages model adopted from the Barney1995 model (with slight differences). Smart PLS 3.0 software package was adopted to carryout multi-variable data analysis. The study’s assumption is a capital economic system andbases its argument of analysis on stockholder theoretical lenses. The study establishedthat company size does not significantly affect supply chain cooperation, suggesting thatcompanies of all sizes can organize and enhance their network to be cooperative. Results also
showed that companies with a cooperative supply chain network tend to have competitive
advantages compared to non-cooperative ones. The study concluded by proving that supply
chain cooperation is a viable way to manage business risks, be they internal or external.

MB-09.2 [R] Exploring Asia-Pacific Technology Diffusion and Technological
ChangeHung-Chun Huang; National Chi Nan University, Taiwan
Hsin-Yu Shih; National Chi Nan University, Taiwan
Tsung-Han Ke; National Chi Nan University, Taiwan
Global outsourcing and global supply chains carry out international science and technology
diffusion. International technology diffusion is an important channel to acquire advanced
technology. The countries in Southeast Asia have been highlighted in global economic
development. ASEAN has potentially demonstrated as a third largest common market. On thebase of the connection between ASEAN and Asia-Pacific development, precisely positing theregional technological embeddedness of ASEAN in Asia-Pacific is a critical issue for policy
initiation as well as the multilateral cooperation and mutual reciprocity. Thus, this study
utilizes the technological network to investigate international technology diffusion in the
Asia-Pacific region. The study result indicates the rapid development of ASEAN and SouthAsia, which can provide authorities to strategize the technological influence in these areas.
MB-09.3 [R] Modeling and Identifying the Network of International Top
Talent Migration
Yinqiu Wang; National Academy of Innovation Strategy, China
Hui Luo; National Academy of Innovation Strategy, China
Zhengfeng Li; Tsinghua University, China
This paper investigates international top talent migration with two kinds of big data analysis:complex network theory and system identification. First, the international top talent migration
is modeled as a kind of complex network, the relationship between talent migration andcomplex network is discussed, and edge weights are viewed as unknown parameters whichshould be identified. Next, the definition of top talents and the method of collection andprocess of historical data about the amount of international top talent migration between
countries are introduced. Furthermore, by employing the least squares method, this paper
proposes an approach to identify the unknown parameters, and the obtained identification
results are testified based on statistics theory. To show the effectiveness of the proposed
theories, we give an example and discuss the experiment results.
MB-10 Information Management-1
Monday, 8/20/2018, 10:30 - 12:00
Room: Milo IV
Chair(s) Nataly J Flores Marca; University College of Southeast Norway
MB-10.1 [R] Fintech Puzzle: The Case of Bitcoin
Tin-Chang Chang; Asia University, Taiwan
Yung-Lin Chen; Asia University, Taiwan
The recent increase in research on financial technology has resulted in transactions receiving
considerable research attention. With the increasing importance of bitcoin, many related
topics require further clarification. Because bitcoin is a popular financial asset, determining
whether the price information is fully circulated among trading platforms has been the focus ofmany studies in recent years. The method for verifying the efficient market hypothesis relates
to whether the price series is a random walk; that is, whether a unit root exists. According to
the literature, whether the price of bitcoin satisfies the efficient market hypothesis remains
controversial; however, these studies have not considered nonlinear data structures.
To deal with the structural change of data, this study employed different unit root tests,
namely the Zivot-Andrews unit root test and Kapetanios-Shin unit root test, to investigate
bitcoins’ relationship to the efficient market hypothesis. If the efficient market hypothesis isvalidated, the price formed by the bitcoin trading platform is close to a perfectly competitive
mechanism, and the information can be quickly and completely reflected in the price, withinformation of different trading platforms having mutual influence. Therefore, this study
applied the threshold vector autoregressive model to explore price information transmission
between various trading platforms. The contribution of this research is its exploration of thefinancial tools derived from the highly developed fields of financial science and technology.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

55

SessionsThis is helpful for providing new methods for completing financial transactions or a platform
for speculators to engage in arbitrage.
MB-10.2 [R] Basic Methodology for Cyber Physical System Modelling
Anne Bernardy; RWTH Aachen University, Germany
Felix Jordan; RWTH Aachen University, Germany
Gunther Schuh; RWTH Aachen University, Germany
Volker Stich; RWTH Aachen University, Germany
Violett Zeller; RWTH Aachen University, Germany

MB-11.3 [R] The Geography of 3D Printing

Nowadays, the market for information and communication technologies used for IOTapplications grows daily. Since companies need technologies to transform their businessprocesses corresponding to the digital revolution, they need to know which technologies
are available and fit the best for their use case. Their inertial issue is the lacking overview
of technologies suitable to connect their production or logistics. Hence, this paper presents
a methodology to select technologies (and combinations) based on their functions. It
differentiates between information and communication technologies, digital technologies
and connecting technologies by the physical function and its role in a cyber-physical system.
Depending on the use case, the applicability of every technology varies. Due to that reason,
the paper illustrates a ranked qualification of the technologies for typical use cases, focussing
tracking and tracing issues in the intralogistics of producing companies. The evaluation is
performed upon a literature research, a market study to identify suitable technologies, andvarious expert interviews to assess the applicability of the technologies.
MB-11 Emerging Technologies-1
Monday, 8/20/2018, 10:30 - 12:00
Room: Milo V
Chair(s) Leong Chan; Portland State University

Harm-Jan Steenhuis; Hawaii Pacific University, United States
Xin Fang; Hawaii Pacific University, United States
Tolga Ulusemre; Hawaii Pacific University, United States
Additive manufacturing, also known as 3D printing, has existed since the 1980s. Since then,the innovation has spread and many companies are working on new applications or new 3D
printing machines. In some ways, 3D printing is flexible because the machines can produce
items in almost any location, and this has been considered an advantage that can reduce
logistics cost. Linked to this, one might also expect that 3D printers can be developed indifferent environments. This study is focused on the geography of 3D printing by examining
the location of 3D printing companies. The analysis focuses on the main industrial 3D
printing companies and examines where companies are located and whether some countries
have a higher concentration of companies. It is found that the main companies that produce
industrial 3D printers are located in only 12 countries, that the majority of companies isrelatively young, and that about 20% were academic spin-offs.
MD-01 Innovation Management-2
Monday, 8/20/2018, 14:00 - 15:30
Room: Kona Moku Salon A
Chair(s) Manabu Eto; Hitotsubashi University

MB-11.1 [R] Exploring the Co-evolution of Inter-industry TechnologicalInnovation: Case of 3D Printing

MD-01.1 [R] Structural Analysis for Diffusion Using Simulation in AgentBased Modeling with Multi Micro Factor

Yuanyuan Shi; Shanxi University of Finance and Economics, China
Leong Chan; Pacific Lutheran University, United States
Renzhi Cao; Pacific Lutheran University, United States
Chung-Shing Lee; Pacific Lutheran University, United States

Kazuhide Namba; FP Technician, Japan

Co-evolution occurs when two or more species reciprocally affect each other’s evolution
in the natural biological ecosystem. It is also an important evolutionary mechanism forinter-industry technological correlation systems. As technological interaction emerges anddevelops among related industries, some common characteristics can be observed in various
industrial phases. This article builds a conceptual model on the co-evolution mechanism
based on the causal relationships, processes, and results of inter-industry technologicalinteractions. A five-stage collaborative evolution model and its evolutionary path areproposed. According to the intensity and direction of the technological interactions amongindustries in various stages, the process of synergetic development and its rules are revealed.
Through the case study of 3D printing and related industries, it can be found that both thestage and level of correlated development are different during the technological innovation
process. The roles and positions in the correlation are different among related industries.
The findings of this research provide insights for technology policy in different high-techindustries. Decision makers can develop more effective innovation strategies and promote
the co-evolution of new technologies in different development stages of high-tech industries.
MB-11.2 [R] Strategy in 3D Printing of Food
Harm-Jan Steenhuis; Hawaii Pacific University, United States
Xin Fang; Hawaii Pacific University, United States
Tolga Ulusemre; Hawaii Pacific University, United States
Additive manufacturing was developed in the 1980s and for a long time, it had limited
applications. In recent years additive manufacturing has found increasing uses in a variety ofindustries such as the medical field and the construction industry. One industry in particular

56that has received increasing attention is that of 3D printing food. One of the parties thatis interested in this is NASA as 3D printing improves the ability for space exploration. In
this study, we examine the current technological developments in the 3D food printing
industry. The focus is on describing the main technologies that are applied in this industry,
the materials that are being printed, and the main companies and business strategy. It is
concluded that the industry is very young and that most of the commercialization is based on
the application of only one of the seven additive manufacturing technologies.

This paper introduces analysis of structure for diffusion, because diffusion as individual level
agent-based modeling and multi-agent simulation about diffusion are effective. Previous
research shows the factor related agent are the consumer behavior and the information
network. In this research the other factor was added. As a result of the addition, the factor
is multi. The factor is micro not macro. Micro means the factor is changed in the diffusion
process. The factor both multi and micro are reflected to agent-based modeling. Multi-agent
simulation by agent-based modeling was done. As a result of simulation, we could produce
the diffusion phenomenon. Because of the multi micro factor, complicated phenomenon
could be produced. An example of complicated phenomenon is chasm or inverse chasm.
Complicated phenomenon depends on the factor. Originality about this research is that thestructure for diffusion was revealed by consideration of the simulation result. The structure
for diffusion consists of the consumer behavior and the information network.
MD-01.2 [R] A Comparative Study of the Effects of Different Industry
Technology Innovation Performance Factors
Jinwei Zhu; Jiangnan University, China
Yangyang Wang; Jiangnan University, China
This paper constructs a semi-parametric model to study the effects of six different factors ofinnovation performance in different industries based on the relevant data of Growth EnterpriseMarket (GEM) listed companies. The empirical results show that: (1) R&D expenditures oninnovation performance in most industries have a significant positive impact; (2) R&D
personnel investment and government subsidies have a significant positive impact ontechnology innovation performance of knowledge-oriented industries; (3) technology
diversity has a significant positive impact on innovation performance of technology-oriented
industries; (4) the proportion of exports and company size show an inverted U-shaped

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsrelationship with technological innovation performance in some industries; and (5) the effectof semi-parametric model fit is superior to the general parameters model.

throughout the research, and which were the real contributions and limitations of well-known
approaches, such as Lean Startup and other tools and processes.

MD-02 New Venture Development
Monday, 8/20/2018, 14:00 - 15:30
Room: Kona Moku Salon B
Chair(s) Joanne Scillitoe; California State University Northridge

MD-03 New Product Development-1
Monday, 8/20/2018, 14:00 - 15:30
Room: Kona Moku Salon C
Chair(s) Kazuo Hatakeyama; Entrepreneur Consultant Office

MD-02.1 [R] Technological Innovation Investments Influence on theStrategic Orientation of Socio-Tech Ventures

MD-03.1 [R] Methodology for Determining Agile Product Scopes in
Development Projects

Joanne Scillitoe; California State University Northridge, United States
Latha Poonamallee; Michigan Technological University, United States
Simy Joy; University of East Anglia, United Kingdom

Gunther Schuh; RWTH Aachen University, Germany
Christian Doelle; RWTH Aachen University, Germany
F. Diels; RWTH Aachen University, Germany
Maximilian Kuhn; RWTH Aachen University, Germany

The technological innovation literature has widely considered the technological innovation
process and outcomes of market driven, for-profit firms. However, research on thetechnological innovation process and outcomes of socio-tech ventures, those that are formed
to create social value via employing technology, is lacking. Drawing from the adoptionof innovation and strategic orientation literature, we present a conceptual model of how
technological innovation investments by socio-tech ventures made during the innovation
adoption process influence changes in its market versus social strategic orientation.
These innovation investments are viewed across four relevant levels of analysis: founders,innovation, organization, and external environment. The conceptual model presented
suggests that the tenure and innovation stance of venture leaders, the complexity andtrialability of the technological innovation, the legal structure of the venture, and the social
network interconnectedness can cause changes in the social-market strategic orientation
balance of socio-tech ventures.
MD-02.2 [A] Ethical Confrontations at Mbloom Ventures LLC: Hawaii’s First
Early-Stage Technology Fund
Prescott C Ensign; Wilfrid Laurier University, CanadaThis case study examines the inaugural venture capital financing effort by mbloom Ventures,
LLC (mbloom), a $10 million early-stage technology investment partnership between the
Hawaii Strategic Development Corporation (HSDC) and Rosemont Seneca Technology
Partners (Rosemont), a private hedge fund. Following an announcement of the two recipientsof funding - $500,000 each to Flikdate and Ozolio - information circulated that these twostartups had been established by mbloom’s two general partners. Allegations of conflict ofinterest and lack of transparency soon surfaced.
MD-02.3 [R] A Process Model Integrated to Innovation Management Tools to
Support Technology Entrepreneurship
Matheus L Pontelo de Souza; Federal University of Minas Gerais (UFMG), Brazil
Leonel D Melo Filho; Pontifical University of Minas Gerais (PUC-MG), Brazil
Raoni B Bagno; Federal University of Minas Gerais (UFMG), Brazil
Wesley C Souza Junior; Federal University of Minas Gerais (UFMG), Brazil
Lin C Cheng; Federal University of Minas Gerais (UFMG), Brazil
Technology entrepreneurship (TE) has gained increasing importance over the last decades.
Therefore, a multidisciplinary research field was formed around research on technologybased innovation and entrepreneurship. However, despite the managerial and technologicalskills required in the challenge of new venture creation and development, little attention
has been paid to the product/service and business levels of analysis of this phenomenon.
Based on technology entrepreneurship, innovation management and new productdevelopment literatures, this research proposes a seven-step process model integrated toinnovation management tools to support entrepreneurs in the context of startup creationand development. An in-depth longitudinal study was conducted with four startups over
27 months. And then, some theoretical and practical aspects of the proposed model are
discussed. In particular, the paper brings concerns on how the process and integrated
tools helped TE management, how they were created and adapted to the startup context

In today’s fast-paced and unpredictable business environment, manufacturing companies
are exposed to increasingly dynamic market conditions and volatilely changing customer
expectations. Therefore, a complete definition of requirement specifications is often notpossible, as customer needs in early development phases may strongly differ from needs
in advanced phases. One way to encounter these challenges is the application of agile
methods from the software industry to the development of physical products. However,companies face high barriers during the implementation of agile methods in physicalproduct development. This paper introduces a methodology to determine the application
suitability of agile methods for highly interconnected physical products by using agile
indicators. Agile indicators are metrics that support the decision-making process for oragainst agile development methods at the level of individual product scopes. In order todo so, a classification of different types of development questions derived from uncertain
requirements is presented. Subsequently, product scopes are determined in accordance withthe existing development questions. In a next step, the derived product scopes are evaluatedwith agile indicators and the interdependencies between product scopes are analyzed. Basedon this analysis, a final selection of product scopes for agile development can be conducted.
MD-03.2 [R] Methodology for Business Model Related Product Design
Gunther Schuh; RWTH Aachen University, Germany
Christian Doelle; RWTH Aachen University, Germany
Manuel Ebi; RWTH Aachen University, Germany
In times of digitalization and Industrie 4.0, business model innovation becomes increasingly
important. Studies show that business model innovators are earning a higher averagepremium than product or process innovators. Consequently, companies are developinga wide variety of innovative business models. Intelligent service offerings appear to be a
promising way to create competitive advantages and therefore attract increasing attention intheory and praxis. Considering the trend towards business model innovation as given, theresultant challenge is to develop products or product-service systems that are purposefullyaligned with this business model in order to maximize the corporate success. The literature
review revealed that existing approaches do not consider the specific business model whendeveloping the conceptual design of products. This paper introduces a methodology for an
improved design of products by configuring business model related product design features.
Based on the definition of product and business model describing elements that determine
the direction of product design during the conceptual phase, the paper compiles design
guidelines for products that are used in service-related business models.
MD-03.3 [R] The Impact of Fuzzy Front End Activities and Changes in Project
Execution on New Product Development Project Success in Japanese
Manufacturing Firms: Comparative Study between B2B and B2C Projects
Akio Nagahira; Tohoku University, JapanKo Yamasaki; ABeam Consulting Ltd., Japan
Sumie Ishihara; Tohoku University, Japan
Shuichi Ishida; Ritsumeikan University, Japan

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

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Sessions
In this study, a comparative study was carried out to investigate the direct and indirect
impacts of fuzzy front end (FFE) activities and changes in project execution on new productdevelopment (NPD) projects success of business-to-business type (B2B) and businessto-consumer type (B2C) projects respectively in Japanese manufacturing firms. Structural
equation modeling (SEM) analysis was used to analyze the data. The following conclusions
were obtained from analysis results. The ideal activities during the FFE and the project
execution were changed according to the situation such as product and period. Following thecontingency theory, managers should adapt to external and internal circumstances. Results
revealed that problems were found in the B2B and B2C respectively. B2B projects should
intensify the reduction of market uncertainty, and changes in the project execution phasewere kept to a minimum. B2C projects should activate the reduction of technical uncertainty
and make the project execution phase flexible. In further studies, it seems beneficial toanalyze the data from another perspective such as company size or industry. It can offer morepractical result and be applied for real business. These results contribute to NPD project
management according to types of the products of firms.
MD-04 Technology Assessment & Evaluation-1
Monday, 8/20/2018, 14:00 - 15:30
Room: Waikiki Salon 1
Chair(s) Alan L Porter; Georgia Institute of Technology
MD-04.1 [R] How is Data Science Involved in Policy Analysis?: A Bibliometric
Perspective
Yi Zhang; University of Technology Sydney, Australia
Alan Porter; Georgia Institute of Technology, United States
Scott Cunningham; Delft University of Technology, Netherlands
Denise Chiavetta; Search Technology Inc., United States
Nils Newman; Search Technology Inc., United States
What are the implications of big data in terms of big impacts? Our research focuses on
the question, “How are data analytics involved in policy analysis to create complementary
values?” We address this from the perspective of bibliometrics. We initially investigate
a set of articles published in Nature and Science, seeking cutting-edge knowledge tosharpen research hypotheses on what data science offers policy analysis. Based on a setof bibliometric models (e.g., topic analysis, scientific evolutionary pathways, and social
network analysis), we follow up with studies addressing two aspects: (1) we examine theengagement of data science (including statistical, econometric, and computing approaches)in current policy analyses by analyzing articles published in top-level journals in the areasof political science and public administration; and (2) we examine the development of policy
analysis-oriented data analytic models in top-level journals associated with computerscience (including both artificial intelligence and information systems). Observations
indicate that data science contribution to policy analysis is still an emerging area. Data
scientists are moving further than policy analysts, due to technical difficulties in exploiting
data analytic models. Integrating artificial intelligence with econometrics is identified as aparticularly promising direction.
MD-04.2 [R] Text Mining Medical Device Guidelines to Explore Classificationof Technologies
Sayaka Itoh; the University of Tokyo, Japan
Shingo Kano; the University of Tokyo, Japan
Regulation is an essential element for the industrialization of technologies, and the firstand most basic step to facilitate the regularity of regulations is to classify the regulations.
Classification of regulations helps both the regulated and the regulating parties. Regulatory
agencies will be able to structure regulations for the appropriate users or challenges; theregulated citizens or companies will be able to know the appropriate rules and regulations
they must abide by. This research aims to detect the relationship between technology andregulation in the medical field with text-analysis of medical device guidelines. In the past,
we conducted a simple dichotomization according to whether they contained disease-related

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terms (e.g., disease name, body part) or not. The dichotomization was experimented on a setof medical device guidelines in Japan and technologies listed in the preceding technology
forecast which lead to the patterning of the relationship between technology forecasts andguideline formulation. In this research, we utilize the classification we explored in our past
research and use available text mining tools on medical device guidelines in Japan to detect
the relationship between technology and regulation within guideline documents.
MD-04.3 [R] Return on CPS (RoCPS): An Evaluation Model to Assess theCost Effectiveness of Cyber-Physical Systems for Small and Medium-Sized
EnterprisesPeter Burggraf; RWTH Aachen University, Germany
Matthias Dannapfel; RWTH Aachen University, Germany
Matthias Bertling; RWTH Aachen University, Germany
Tingni Xu; RWTH Aachen University, Germany
This paper addresses the challenge of evaluating the cost effectiveness of cyber-physicalsystems (CPS) for small- and medium-sized enterprises (SMEs) in manufacturing industries.
CPS are key technologies to implement the digitalization and interlinking of production
processes with the advantage of increasing production efficiency and flexibility. However,
it is difficult to evaluate properly how much CPS can contribute to profit growth becauseof various costs of complex CPS components and ambiguous estimation of potential CPS
benefits. For SMEs, the investment decision on CPS is especially difficult due to the lack ofhuman resources with CPS competence and limited financial resources. Thus, an evaluation
model for assessing the economic effectiveness of CPS aimed at SMEs is developed inthis paper. To assess the effectiveness, different cost types of implementing CPS are
identified and classified. Furthermore, potential benefits of CPS utilization are analyzed
comprehensively and calculation rules for monetization of benefits are suggested. The metric“return on CPS” (RoCPS) is defined to value the profit based on the invested capital. The
RoCPS will facilitate the selection of economically efficient CPS solutions, supporting SMEs
with economic growth by reasonable technology management. Finally, the evaluation model
is validated by a use case of an electric vehicle start-up.
MD-05 Intellectual Property-2
Monday, 8/20/2018, 14:00 - 15:30
Room: Waikiki Salon 2
Chair(s) Joseph C Edmondson; Portland State University
MD-05.1 [R] Assessing Patents Based on Their Structural Significance inPatent Citation Network
Chung-Huei Kuan; National Taiwan Univ. of Science and Technology, Taiwan
Dar-Zen Chen; National Taiwan University, Taiwan
This study proposes a patent assessment method based on a patent’s structural role withina patent citation network. The proposed method includes two major steps: (1) assigning aweight to each citation of the patent citation network according to its traversal count within
the network, and (2) obtaining a pivotalness value for each patent by summing the weights of
its citations. A patent’s pivotalness value is, therefore, the patent’s traversal count within the
network. If a citation may be deemed as a flow of knowledge or a step of technology evolution
from the cited to the citing, the pivotalness value reflects a patent’s significance in knowledge
dissemination or technology evolution within the field. To observe this measure, this study
selects for empirical analysis patents in the field of carbon dioxide capture, storage, recovery,
delivery, and regeneration and collects a total of 34,083 US utility patents issued between
1976/1/1 and 2017/3/31 by the United States Patent and Trademark Office database.
MD-05.2 [R] Evaluation Method of Patent Scope Based on Semantic
Information of Words and Dependency Structure of Patent Claims
Hiroaki Tanaka; Tokyo Institute of Technology, Japan
Yuko Nakashio; Tokyo Institute of Technology, Japan
Yuya Kajikawa; Tokyo Institute of Technology, Japan

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
In patent documents, the “claim” is the most important section because the patent scope isinterpreted based on the description of claims. However, because claims are expressed as
sentences, the scope and boundaries of patents tend to be ambiguous. Prior studies have notbeen able to visualize the scope of a claim because they did not include the semantic range ofwords. Therefore, we develop a method to visualize the description of claims and the patentscope using natural language processing. Specifically, in order to visualize patent claims,
we introduce the semantic range of words using the hierarchical structure of words provided
by WordNet. Then, we apply the proposed method to two patents included in “PageRank”
technology. The results show that parent patents are wider than child patents.

shortcomings such as a high degree of manual effort and subjective coding decrease thereliability of this method. As an alternative, we develop a method based on topic modelingin accordance with [2] and test our method by using the same dataset as [1]. Applying our
method to the case of RFID technology produces application fields such as logistics, payment& finance, or medicine. Comparing the results of topic modeling and tf-lag-idf based on input
and output criteria sheds some light on both methods. As a consequence, both approaches
enable a semi-automated analysis of diffusion based on text-mining.

MD-05.3 [R] Research for Reuse of Unused Patents by Analysis ofTransferred Patents

Nathan Kosylo; Pacific Lutheran University, United States
John Smith; Pacific Lutheran University, United States
Matthew Conover; Pacific Lutheran University, United States
Leong Chan; Pacific Lutheran University, United States
Hongtao Zhang; Hiretual Inc., United States
Hanfei Mei; Hiretual Inc., United States
Renzhi Cao; Pacific Lutheran University, United States

Yosuke Towata; Tokyo Institute of Technology, Japan
Yoshitoshi Tanaka; Tokyo Institute of Technology, JapanIntellectual property rights must be acquired at the stage of R & D and product planning,
without guarantee that the invention will be used in the future. It is difficult to decide about
this investment. From the viewpoint of effectively utilizing capital, it is preferable to monetize
a patent that has not been finally commercialized, by assigning or licensing it. In practice,
however, it tends to be handled by abandonment or keep on holding. As a result, the numberof unused patents owned by companies continues to increase. On the other hand, sharing
services via the Internet have become widespread in recent years. Various assets such as
houses and cars are not owned but utilized by sharing, and items that are no longer needed
are transferred to those who need it. In other words, if a patent that is not in use is alsotransferred to the person who needs it, it will show new value. Therefore, it is the significanceof this research to analyze the transferred patents, to know what type and characteristic rights
are transferred, and to use it for reuse of unused patents.
MD-06 Artificial Intelligence for Technology Management
Monday, 8/20/2018, 14:00 - 15:30
Room: Waikiki Salon 3
Chair(s) Martin G Moehrle; University of Bremen
MD-06.1 [R] Resolving Asymmetry of Medical Information by Using AI:
Japanese People’s Change Behavior by Technology-Driven Innovation forJapanese Health Insurance

MD-06.3 [R] Artificial Intelligence on Job-Hopping Forecasting: AI on JobHopping

Artificial Intelligence (AI) technologies have been successfully applied to many fields,such as object detection and speech recognition. Among these applications, few consider
cases where some feature values are missing or unreliable, such as in the prediction of jobhopping patterns where many profiles are incomplete, even though these missing features
may be important for businesses (e.g., human resources and management). In this paper, we
propose a novel AI technology, Sequential Optimization of Naive Bayesian (SONB), which not
only makes predictions, but also learns the underlying pattern and automatically estimatesmissing or unreliable feature values. We analyzed several important job-hopping features
and applied it to predict job-hopping patterns on many incomplete profiles. Our experimentshows SONB accurately estimates missing values and achieves state-of-the-art performance.
In addition, the accuracy of deep learning is improved by 3% on the new dataset generated
by SONB over the raw data. In summary, we introduce a novel AI technology for forecasting,which could also be used to estimate missing values in the input data. It is applied to a large(20,185,365 employee profiles) dataset and successfully predicts job-hopping patterns for
employees based on their profiles, which could be a valuable resource for businesses.
MD-06.4 [R] Analyses of the Technological Accumulation over the 2nd andthe 3rd AI Boom and the Issues Related to AI Adoption by Firms

Kunitoshi Yamasaki; Hitotsubashi University, Japan
Ryuichi Hosoya; Hitotsubashi University, Japan

Kumiko Miyazaki; Tokyo Institute of Technology, Japan
Ryusuke Sato; IBM, JapanThe advancement of the artificial intelligence (AI) technologies in recent years has enabled
new technology-driven innovation in many fields in our society. The medical sector is oneof the application fields of AI that has high expectations for salient outcomes by directly
influencing people’s life-and-death matters. On the other hand, ethical problems pertaining
to AI-based massive utilization of human health and biological data have risen as a new issue.
In this paper, we report on the current status of Japan’s medical policies and a case study of a
project for building an AI-based medical knowledge creation and information retrieval systemaiming at achievement of change in people’s health-related behavior.

Although AI was proposed by J. McCarthy back in 1956, 60 years later we are beginning towitness a surge of interest in the practical applications of AI in many sectors. However, theactual adoption rate of AI in businesses has been quite low. The current 3rd AI boom follows
the 2nd AI boom in the 1980s which focused mainly on expert systems. In this paper, anattempt is made to analyze the technological accumulation process from the 2nd to the 3rd
AI boom and to identify forthcoming key application areas. The methodology is based on athree-step approach. In the first step, a bibliometric analyses of artificial intelligence wascarried out to analyze the technological accumulation during the 2nd and the 3rd AI boom.
Having done the desk work and interviewed several experts in AI, we decided that 2013 was
the year which marked the boundary between the two AI booms. A bibliometric analyses
based on countries and institutions over the two periods was followed by co-occurrence
analyses of the author keywords in the two periods, before and after 2013. In the third stage,interviews were carried out with some corporate members to do a qualitative analysis on
the possible application areas of AI, and issues to be solved for adopting AI were identified.
The results showed that in the 3rd AI boom, machine learning, deep learning, and genetic
algorithm have been identified as the key technologies. Furthermore, prediction, forecasting,data mining, fault diagnosis, and pattern recognition were identified as important areas in
the 3rd AI boom. It was also revealed that firms’ R&D has been changing to focus more on
AI applications.

MD-06.2 [R] Measuring Technology Diffusion for the Case of RFID
Technology
Huseyin Caferoglu; University of Bremen, Germany
Martin G Moehrle; University of Bremen, Germany
When an emergent technology is brought to market, different possibilities regarding its
diffusion arise. While some technologies spread quickly across an entire market, othertechnologies are first established in one market segment, and then move on to further
segments. Knowledge about the diffusion of a technology can help managers with theirassessment and is therefore of major importance. Recently, [1] suggested a method tomeasure diffusion by means of an informetric approach, namely the tf-lag-idf. Nevertheless,Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

59Sessions
Antoine F Mulaba-Bafubiandi; University of Johannesburg, South Africa
Clever Banganayi; University of Johannesburg, South Africa

MD-07 Productivity Management
Monday, 8/20/2018, 14:00 - 15:30
Room: Milo I
Chair(s) Makoto Hirano; The University of Fukuchiyama
MD-07.1 [R] Strategy for Sustainable Economic Growth of Small Scale
Mining Operations in South Africa
Nirdesh Singh; Mintek/University of Johannesburg, South Africa
Antoine F Mulaba-Bafubiandi; University of Johannesburg, South Africa
Jan-Harm C Pretorius; University of Johannesburg, South Africa
For a number of years, artisanal and small-scale mining (ASM) was seen as a means ofsurvival, and in some cases, a way of enrichment for many in South Africa especially inrural areas where job opportunities are scarce. The sector has faced a number of challenges.
The first challenge has been in terms of the definition and the distinction between what
is considered an artisanal operation as opposed to a small-scale mining operation. The
other critical challenge has been in terms of a lack of a strategy for ensuring sustainabilityof these operations within the sector. While artisanal mining is often associated to illegal
activities, small-scale operations in general comply with national legislative requirements.
The methodology used to develop a scientific definition for small-scale mining was to firstly
identify from literature the main criteria that differentiate artisanal from small-scale mining
operations. The pairwise comparison was then used as the decision-making tool of choice. A
survey was developed and submitted to experts and specialists in the field to determine theimportance and the weights of the selected criteria. A strategy for sustainability and economic
growth was developed by using a case-study approach which involved visiting selected legal
small-scale mining and processing operations. A questionnaire was developed to gather
information using a structured interview process. The data gathered was then compared withliterature to identify focus areas. The four areas found were management, skills, chemical
analysis and technology. An integrated management model for improving productivity andensuring the sustainability of small-scale mining operations in South Africa was successfully
developed.
MD-07.2 [R] Strategy and Technology Models in Small Scale Mining ofSandstone to Facilitate Community Based Economic Development and
GrowthSeun Mokwalo Monareng; University of Johannesburg, South Africa
Antoine F Mulaba-Bafubiandi; University of Johannesburg, South Africa
John Francis Agwa-Ejon; University of Johannesburg, South Africa
Artisanal small-scale mining (ASM) activities are a global phenomenon, carried out mainly
by individuals or groups within communities. Artisanal and small-scale operators mine a
range of minerals, dimension stones and metals available at their disposal. While artisanal
operations are often looked at as illegal activities, small-scale operators directly depend onthese mining activities for survival, with some forming cooperatives within their respective
markets. Most ASM activities are labor intensive and lack modernized technologies tooptimize mining productivity. Sandstone operators in QwaQwa South Africa often have towork long hours to collect as much raw material as possible. This paper discusses strategical
technologies which can be applied in small-scale mining to aid community development andgrowth. Literature shows that small-scale mining of sandstone in the Free-State province(South Africa) can provide a sustainable livelihood for communities where ASM activities
are undertaken. Although some government assistance has been provided, it has not reachedthe majority of the operators, and most of these mine operators still lack technologicalinterventions, basic business and numerical competence. This paper will further present
basic business models which can be adopted by small-scale miners and thus advance theurgent need for rural economic development and growth.
MD-07.3 [R] Usage of Energy Efficient Furnace as Technology Transfer
Concept to Rural Foundries
Kulani Mageza; University of Johannesburg, South Africa

60

In South Africa, public institutions of higher learning and government agencies are fundedwith tax payers’ money. They are encouraged, through the use of science and technology,
to help and assist in the development of small and medium enterprises by contributing in
addressing their challenges be it technological, business management related, or qualityof production and productivity inclined. Rural foundries are enterprises at the remote areascommonly known for casting three-legged aluminum pots from aluminum metal scraps.
Most of these rural foundries have been found struggling with a lack of green production
process and lack of sustained improved productivity mainly due an inefficient heat energy
generation and conservation within the furnace. Technology transfer aspect was used to lookat intervention to improve the status quo of the rural foundries. The technology transfer
aspect was used as proof of concept to improve the energy efficiency of the furnace, which
resulted in reduced melting time and usage of coal as input material. In conclusion, theuse of science and technology is critical in terms of proof of concept of heat transfer, andengineering skills play a vital role in developing technologies which will have technicalcapabilities of meeting the end user’s requirement.
MD-08 Sustainability
Monday, 8/20/2018, 14:00 - 15:30
Room: Milo II
Chair(s) Nathasit Gerdsri; College of Management Mahidol University
MD-08.1 [R] Pavement Infrastructure Sustainability Assessment: A
Systematic Review
Joseph Acai; University of Pretoria, South Africa
Joe Amadi-Echendu; University of Pretoria, South Africa
Road transport infrastructures are highly valuable assets designed for long periods of use
and play a major socio-economic role. Conformity of road infrastructure development
to the triple bottom line (TBL) of sustainability requirements of social, economic andenvironmental has gained immense debate in the construction industry in recent years.
The rapid population increase worldwide coupled with demand for services and widespreaduse of the planet’s finite resources has resulted in the generation of waste associated withthe construction, utilization, rehabilitation and reconstruction of pavement infrastructure,raising great concern of stakeholders in the road transportation sub-sector because of theenvironmental impacts of the associated activities. However, attempts have been made toaddress sustainability concerns in the road infrastructure programs to meet both internal andexternal (environmental) sustainability, but most of this have been in Europe and America,
leaving developing economies in Africa and Asia struggling with meeting the sustainability
challenges. Tools and methodologies have been developed to evaluate sustainability of roadinfrastructures from the quantitative (life cycle assessments), qualitative (sustainability rating
systems) and climate change perspective. Through a descriptive and exploratory approach,this paper delves into the documentary advancement in achieving sustainable developmentof road transport infrastructure.
MD-08.2 [A] Integration of Community Preference in Energy Planning
Adiphol Tannirandon; College of Management Mahidol University, Thailand
Nathasit Gerdsri; College of Management Mahidol University, Thailand
The increasing population has influenced the need to expand energy production andplanning. Energy planning changes from a simple single-criteria approach focusing only
on economics to multi-criteria, which involves balancing impact on social and environment.
Existing energy planning approaches, especially in developing economies, tend to face
many challenges on public acceptance. This study reviews existing problems and gaps inThailand Power Development Plan (PDP) and proposes energy planning which integrates
the view of stakeholders at the first step and minimizes personal bias. A mapping model withleast square method equation will be used to compare characteristics of selection of energy
and stakeholder preferences. It is expected that by using this integration, sustained energy
planning will be obtained, resulting in effective long-term energy planning and development.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
MD-08.3 [R] Innovative Urban Environments in Sustainable Cities: The
Brazilian Case of Curitiba

MD-09.1 [R] Problems and Gaps of Family SMEs in Japan

Roberto S Bichueti; Federal University of Santa Maria, Brazil
Clandia M Gomes; Federal University of Santa Maria, Brazil
Isak Kruglianskas; University of Sao Paulo, Brazil
Jordana M Kneipp; Federal University of Santa Maria, Brazil
Carlos Rafael R Da Costa; Federal University of Santa Maria, Brazil
Kamila Frizzo; Federal University of Santa Maria, Brazil

The purpose of this paper is to verify the problems facing family SMEs and to identify thegap between existing research and reality. Family SMEs have various problems, but due
to high specificity of these, its problems have not been much focused. However, family
SMEs are very important, because they contribute to the world economy. So, to focus
family SMEs are particularly meaningful. Some economic theories consider the family firm
to be an organization with a beneficial organizational structure. Unification of ownershipand management and more personal human capital was recognized as a strength of familybusinesses. However, in my opinion, family business believes that it has an organization
with many problems while having such excellent features. Therefore, we interviewed two
family business companies in the manufacturing industry. By interviews in this paper, its
problems and gaps between existing research and reality are clarified specifically. There aremany problems related to human capital, successor and innovation. And a potential problem
is that family SMEs managers and family members have little knowledge about management
also exist. In this paper, we believe it is necessary to compare between family SMEs and nonfamily SMEs and further investigate in order to understand the problem more deeply aboutsuch a problem and to find solutions for problems of family SMEs.

Cities are a central part of the debate in the search for sustainable development. The accelerated urbanization that occurred over the last decades created several challenges regarding
urban sustainability. Within this context, adopting management practices for a sustainableurban development allows the creation of certain urban conditions, such as improved qualityof life and welfare of the population, reduced environmental impacts and the possibility of
adopting a sustainable lifestyle. This differentiated urban environment is capable of, among
other aspects, attracting qualified people, enabling a greater social interaction among them,and attracting investments. Such factors may be associated with the creation of positive externalities, capable of promoting economic development and increasing the capacity to produce
innovations. In that sense, the aim of the study is to analyze the importance of management
practices for sustainable urban development in the creation of favorable urban conditions toallow innovative urban environments in sustainable cities. An in-depth study was conducted
involving the city of Curitiba (Brazil), considering its representativity in relation to urban
sustainability. The results allowed us to get to know the characteristics of the municipality
and the main management practices for the sustainable urban development used for thiscity. Above all, urban conditions resulting from these practices were pointed out, promoting
the creation of an innovative urban environment. A stricter association of these conditions
to the activities associated to the service sector was also noticed, and creative economy isone example.
MD-08.4 [R] Strategic Management of Sustainable Innovation of Brazilian
Industrial Companies
Jordana M Kneipp; Federal University of Santa Maria, Brazil
Clandia M Gomes; Federal University of Santa Maria, Brazil
Isak Kruglianskas; University of Sao Paulo, Brazil
Roberto S Bichueti; Federal University of Santa Maria, Brazil
Kamila Frizzo; Federal University of Santa Maria, Brazil
Francies D Motke; Federal University of Santa Maria, Brazil
This study aimed to examine the relationship between strategic management for sustainable
innovation and the corporate performance of industrial companies. The study was characterized as quantitative and consisted of a survey with Brazilian industrial companies. The
results allow saying that strategic management for sustainable innovation is related withthe organizational performance, given that positive associations between the independentand dependent variables dimensions were found. According to the data, all corporate performance categories have at least one association with some dimension of the independent
variables, which means that the adoption of strategic management for sustainable innovationis related to the performance of the companies studied. The main limitations of the study were
the theoretical choices, the understanding of the phenomenon on the basis of the respondents’ perception, and the number of companies surveyed, which was small because of thesmall number of responses returned in relation to the target sample population. The study is
relevant to understand the interrelationship between the strategic management of sustainable
innovation and its relation with the performance of emerging industrial companies, thematicones and of recognized importance in the academic and business scope.
MD-09 Manufacturing Management-1
Monday, 8/20/2018, 14:00 - 15:30
Room: Milo III
Chair(s) Manocher Djassemi, California Polytechnic State University

Sayaka Tokita; Hitotsubashi University, Japan

MD-09.2 [A] A Literature Review of South African Automotive Industry Global
CompetitivenessJohn M Ikome; Vaal University of Technology, South Africa
Grace Kanakana; Tshwane University of Technology, South Africa
Nowadays, manufacturing industries are faced with increasing pressure to improve
productivity in order to survive within the global competition. This requires industries toreduce production costs while maintaining product quality and also decision makers
to make the right decision to support and improve the various processes. Looking at thecomplex nature of globalization today, it encompasses a holistic approach in order to staycompetitive at the international level for both developing and developed countries. This in
general requires a high level of competitiveness and rational policies from decision makers inorder to cope with global risks. In industrialized countries, the key contributor to the national
economy in particular is the automotive industry, which manufactures all types of vehicles
that are needed or used in different sectors of the government and nation including tourism,
transportation, road construction and agriculture. Therefore, any improvement or disruptionof the automotive industry can deeply affect the economy of the nation either in a positiveor negative way. In this research paper, we have analyzed previous research work done inaddressing the global competitiveness of the South African automotive industry, and our
findings show that more still needs to be done in order to improve the global competitivenessof the automotive industry in South Africa.
MD-09.3 [R] Selecting High Tech Production Machines: A Guide for
Entrepreneurs and Small Manufacturing Businesses
Manocher Djassemi; California Polytechnic State University, United States
This study presents a set of practical criteria and guidelines for small manufacturing businessentrepreneurs who are looking for starting or growing a business through the addition ofmultifunctional computer numerical controlled (CNC) technology. Even though adopting
this advanced technology can be costly in terms of initial investment and training, recentlydeveloped equipment may have a positive long-term effect by simplifying production
methods or providing the means to accomplish tasks that were once considered impractical.
The multifunctional CNC machines are capable of meeting several production goals
including faster processing, minimizing non-value added times, concurrent processing ofmultiple parts and flexibility in processing high mix of products. This technology has become
increasingly sophisticated and expensive capital equipment. This study entails a frameworkof technology selection and discussion of critical selection criteria such as product design
features, impact of material type on processing power requirement and production goals.
Technical and cost data from several suppliers as well as practical examples are provided
to assist small manufacturing business entrepreneurs in selection of this multifunctional

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

61

Sessions
technology.

growth of keystone firms for business platforms. This study will contribute to the innovation
ecosystem literature and will be of interest to 3D printing and emerging industry researchers.

MD-10 Knowledge Management: 1
Monday, 8/20/2018, 14:00 - 15:30
Room: Milo IV
Chair(s) Yasuo Sasaki; JAIST

MD-11 Technology Management in the Health Sector-1
Monday, 8/20/2018, 14:00 - 15:30
Room: Milo V
Chair(s) Chipo Mugova; Mancosa Graduate School of BusinessMD-10.1 [R] A Decision Model for Data Mining Techniques
Maoloud Dabab; Portland State University, United States
Mike Freiling; Conceptrics AG, United States
Nayem Rahman; Portland State University, United States
Daniel Sagalowicz; Portland State University, United States

MD-11.1 [A] Socially Assistive Robots Diffusion in Elderly Care

Data mining is the process of extracting useful information from very large data sources.
Data mining techniques have proven to be very useful in many domains. However, there isno single algorithm or technique that works best across all types of datasets and problems,and it remains “an art” to decide what data mining technique to use for a specific situation.
This paper surveys several data mining techniques that can be applied to different businessproblems and presents a decision model in the form of a series of 15 - 20 questions that
help identify the best approach or approaches to a specific problem at hand. For some setsof answers, a small number of techniques are dominant. The decision model is based on areview of the current literature, as well as expert experience. The fraud detection problem isadopted as a case study and applied the data mining techniques to draw the insights. We also
discuss the applicability of specific techniques to common business in finance, marketing,and business operations.

This paper investigates social assistive robots’ acceptance and diffusion in eldercare fromdependent-living seniors’ perspective by combining data science with the agent-basedmodel of cellular automata, able to unveil the emergence of behavioral patterns in a complex
system, as a result of individual agent interactions. The ratio behind this methodology is that,while social dynamics are often underestimated, they are determinant for the success of an
innovation, especially in a pre-market context, in which users do not know the product. In
this way, by looking at how opinions are formed and word of mouth circulates among social
agents, this paper identifies a cluster of enthusiast seniors, which, if properly addressed,
could behave as social hub and influence innovation success. At the same time, however,this work unveils the presence of extremism and negative word of mouth, which, in turn, canlead to innovation rejection.

Belviso Carlotta; Universita Luigi Bocconi, Italy
Rainer P Hasenauer; WU-Wien, Austria
Ulrike Bechtold; Austrian Academy of Sciences, Austria

MD-10.2 [R] Through Open Innovation Concept Integrating Information
Technology Resource into Instruction of School

MD-11.2 [R] Evaluation of the Effectiveness of the ISO 9001 Quality
Management System on Business Processes of Laboratory Information
System at a Healthcare Solutions Company

James K Chen; Asia University, Taiwan
Benson S Sun; Asia University, Taiwan

Portia Sejake; Mancosa Graduate School of Business, South Africa
Chipo Mugova; Mancosa Graduate School of Business, South Africa

This study aims to construct a planning model for integrated information technology (IT)resource on instruction of school. The proposed model utilizes the open innovation concept
to integrate IT into instruction resource allocation. The empirical case study demonstrates
that loosening department resource constraints and utilizing De Novo programming technicalassistance to gain the optimal resource allocation. Results show that the schools shouldhave important priority for cultivating IT professional teachers of higher grades and teachers
should share teaching materials with others, and how to avoid the resources duplicatedof different classes or grades. This IT resource allocation planning model is applicable touniversal educational institutions.

The purpose of this study was to evaluate the effectiveness of ISO 9001 Quality Management
System (QMS) on business processes of a laboratory information system (LIS) of ahealthcare solutions company in Johannesburg, South Africa. The evaluation of dataobtained from helpdesk records shows that there is a high volume of calls logged related
to slowness of the application system that the LIS oversees for the client. It is important thatthe application system performs optimally at all times due to the critical decision making
that contributes to diagnosis of patients. A successfully implemented QMS should be able tohighlight problem areas and seek to achieve optimal performance. Therefore, the evaluationof its effectiveness will help identify shortfalls. The qualitative research approach was usedand data was collected by means of interviews using non-probability purposive sampling toselect the sample of participants directly involved with the QMS implementation. The findings
derived from interviews and review of documentation revealed that a successful ISO 9001
certification seems to be associated with adequate awareness, feedback from customers andmeasurement of process outputs. It emerged that there is a need to engage all employees
from the beginning and to have continuous feedback sessions on the performance of the
QMS to derive optimal benefits.

MD-10.3 [R] Comparing the Role of Knowledge Creators in the Ecosystems of
China and the UK: A Case of 3D Printing
Guannan Xu; Beijing University of Posts and Telecommunicatios, China
Yuan Zhou; Tsinghua University, China
Yuchen Wu; Peking University, China
In general, policy makers stimulate S&T (science and technology) knowledge creation
to cultivate the emergence of innovation ecosystem within the national boundaries. It is
implicitly assumed that the knowledge can be translated into business values for growing
this ecosystem. However, some opponents argue that local knowledge creation may notnecessarily contribute to the prosperity of the business ecosystem, especially in latecomers,
due to the weak links between science and industries. This paper, therefore, proposes aframework to compare the emerging innovation ecosystems between the developed countries
and emerging economies. China and the UK are selected as the two exemplar ecosystems forthe comparative studies, as the former is representative of leading-edge basic research, andthe latter one is renowned for fast catching-up in both science and industrial competence.
This study finds that China’s 3D printing may have a unique edge in S&T knowledge
ecosystem, but it may be inherently flawed when local universities play too many roles inthe emergence of an innovation ecosystem; by contrast, the UK has better settings for the62

MD-11.3 [R] Blockchain in Healthcare: A New Technology Benefit for Both
Patients and Doctors
Le Nguyen; University of Economics and Finance, Vietnam
With the underlying technology of Bitcoin or other crypto-currencies and its rapid growth
nowadays, many places have begun accepting Bitcoin payments in hot debate. It is hard todeny the emerging success of the creation Blockchain platform behind Bitcoin in the fields
of mathematics, finance, banking, and healthcare. The paper aims to create a diagrammaticconceptual model of medical app using Blockchain technology to manage all databases ofpatients and doctors when they have a surgery. The model is built based on the gap ofprevious models which are mostly using Blockchain in banking and finance sectors. Focusing
on the development of mission space conceptual models, this paper will continue to propose

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
simulation space conceptual models in current studies, especially in the context of very few
models having applied blockchain in healthcare. After the creation of this model, an app on
smartphone using Bitcoin in payment could be created to facilitate doctors’ management of
all their patients directly and effectively as well as helping patients have a good comparison ofcost, procedure or preparation of pre- and post-surgery. Hopefully, this paper will contributeto the given field the conceptual model for medical stakeholders including researcher, publichealth authorities, etc., to participate in the network as Blockchain “miners”, to synthesize
anonymous data as mining rewards, in return for sustaining and securing the network via
Proof of Work.
ME-01 TUTORIAL: Tech Emergence
Monday, 8/20/2018, 16:00 - 17:30
Room: Kona Moku Salon A
Speaker(s) Alan Porter; Georgia Institute of Technology
Scott Cunningham; Delft University of Technology
Serhat Burmaoglu; Izmir Katip Celebi University
Arho Suominen; VTT Technical Research Centre, FinlandThis tutorial session covers three important questions. 1. What is technology emergence? 2.
Why does a place become a nexus for the emergence of a technology? 3. How can technology
emergence be detected at the earliest of stages?
ME-02 Entrepreneurship/ Intrapreneurship-1
Monday, 8/20/2018, 16:00 - 17:30
Room: Kona Moku Salon B
Chair(s) Sebastian Allegretti; Ulm University of Applied Science
ME-02.1 [R] Entrepreneurial Environment of the University: Opportunities forTechnological Spin-Offs
Cornelia Zanger; Chemnitz University of Technology, Germany
Mario Geissler; Chemnitz University of Technology, Germany
This empirical study examines the impact of entrepreneurial opportunities on the formationof entrepreneurial intention. Thereby, the study considers the specific university environmentand research commercialization via university spin-offs in two ways. First, it focuses onentrepreneurial opportunities which emerge from present research results or students’studies. Second, it includes the entrepreneurial environment of the university by introducing
the concept of a university’s entrepreneurial climate. The results show that for researchcommercialization via spin-offs, attitude is the main driver in the intention creation process.
Furthermore, opportunity identification influences intention creation as well. Moreover, itcame to light that opportunity identification mediates the relationship between self-efficacy
and intention. Entrepreneurial climate has two effects, directly by influencing attitude creationand indirectly by moderating the intention behavior relationship.
ME-02.2 [R] Disruption or New Order?: The Emergence of the Unicorn BikeSharing Entrepreneurship in China
Alicia Say; National Taiwan University, Taiwan
R. Guo; National Taiwan University, Taiwan
C. Chen; National Taiwan University, Taiwan
The most significant and successful technological entrepreneurship in Asia in 2017 isperhaps the start-up and diffusion of the bike-sharing service in China. While the bikesharing system has long been an initiative taken primarily by city governments to improvethe city transport, the top-two private start-up businesses, ofo and Mobike from China,
swept the market with unprecedented bike penetration and user growth, despite the social
disorder of chaotic bike-parking and deserted bikes. This paper examines how this innovativetechnological entrepreneurship fulfills the users’ needs, fills the market gap and revamps thegame rules by new business models. Furthermore, the challenges faced by the start-ups in
profit generation and business sustainability will also be discussed. The case study approachis adopted where secondary data were analyzed and face-to-face interview with the executive

was conducted to identify the factors driving the innovation diffusion and the new businessmodel. This paper aims to fill the research gap in the technological entrepreneurship with
the new business model in the emerging sharing economy start-ups, as well as to provide
insights into sharing economy business management, especially in China context.
ME-02.3 [R] Can the Technological Background of Professionals Influence
Their Entrepreneurship Intentions?: An Investigation in the Pearl-river Deltaof China
Munan Li; South China University of Technology, China
Wenshu Wang; South China University of Technology, China
Yanqun Chu; South China University of Technology, China
As one of the most vigorous areas in global economic development, the Pearl River Delta ofChina, which includes Shenzhen, Guangzhou, Foshan, Dong-guan, etc., has attracted more
attention from the world for the active technological entrepreneurship in high-tech industries
during the past two decades. However, the entrepreneurial intention and activities ofprofessionals recently declined based on the third-party social investigation. The reasons or
influence factors on entrepreneurial intentions of professionals in cities are definitely complex
and entangled. Therefore, to further investigate the professionals’ barriers of entrepreneurshiphidden in the level of psychological cognition, an empirical investigation was designed andimplemented in the Pearl River Delta of China. In the investigation and survey, the cognitive
differences are compared, which involve the two types of professionals: those who haveentrepreneurial intentions and those who do not. The data used in the empirical analysis
is from a survey, and exploratory factor analysis (EFA) and a logistic regression model
are conducted to build the model and visualize the survey data. The results show that theentrepreneurs’ biggest obstacles are personal factors (character, ability, etc.). Meanwhile,family factors also significantly affect entrepreneurial intention. However, technologicalbackground may not be a mediator between entrepreneurial barriers and entrepreneurial
intention.
ME-02.4 [R] How Entrepreneurs Utilize Social Interactions and Lead
Companies to Success: A New Research Perspective to Open Innovation
Yu Song; North China University of Technology, China
Jixin Zhao; North China University of Technology, China
Xiaobo Tao; North China University of Technology, China
Taking start-up technology companies as research objects, the purpose of this paper is to
discover how entrepreneurs’ social interactivities can potentially lead to their successes. The
research methodology of this paper is qualitative analysis based on a series of interviews
to start-up companies from one incubator. All records and documents will be coded before
proceeding to analysis. This paper presents a three-dimensional model for analyzingsocial interactions. Further, three potential enhancing processes are pointed out. The mostsignificant contribution of this paper is that it introduces a new research perspective forentrepreneurship management and open innovation, which is social interaction.
ME-03 New Product Development-2
Monday, 8/20/2018, 16:00 - 17:30
Room: Kona Moku Salon C
Chair(s) Johan de Lange; RWTH Aachen University
ME-03.1 [R] Deriving Requirements for the Organizational Structure of
Corporate Incubators
Gunther Schuh; RWTH Aachen University, Germany
Felix S Lau; Fraunhofer Institute for Production Technology, Germany
Charlotte Dyba; Fraunhofer-Institute for Production Technology, Germany
Florian Vogt; Fraunhofer Institute for Production Technology, Germany
As conventional R&D often fails at achieving radical innovation in the context of increasingly
uncertain environments, corporate incubators are established to provide a separate
development path for innovation. Startup teams are integrated or internal projects teams

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

63Sessionsare provided with office space, independence and resources. Corporate incubators havebecome a promising solution for companies that aim at achieving structural ambidexterity,i.e., organizational ambidexterity that is embedded in corporate structure. While the current
business practice shows that many different configurations of corporate incubators exist, theunderlying requirements remain unclear. This paper therefore addresses the research gap byderiving a model describing the requirements for the organizational structure of corporate
incubators. The authors draw from organization theory in order to derive requirement
dimensions. Then, current literature on ambidexterity research is used to infer requirement
parameters for each requirement dimension. From a practitioner’s perspective, the developedmodel allows a systematic planning process that helps in achieving a consistent configurationof corporate incubators, which reduces failure rates. From an academic perspective, theproposed model elaborates on the organizational requirements that underlie structural
ambidexterity strategies.
ME-03.2 [A] Disruption-Oriented Product Planning: Towards a Framework for
a Planning Process for Disruptive Products
Gunther Schuh; Fraunhofer IPT, Germany
Tim Wetterney; Fraunhofer IPT, Germany
Felix Lau; Fraunhofer IPT, Germany
Tim Schmidt; Fraunhofer IPT, Germany
Established companies are unmatched in developing sustaining innovations, but when it
comes to disruptive products, new entrants often outperform them. Despite the implementationof “agile methods” to enable shorter development cycles and continuous customer feedback,the success score of most corporates still lacks market-changing innovations. Disruption
is a continuous process that should start with niche products focusing on insufficiently
addressed customer needs and - given a positive market feedback - continue with newvariants to gain market share step-by-step. Hence, a needs-oriented definition of the initial
product offer followed by a need-based planning of future product variants are essential fora disruptive product strategy. Yet, companies’ failure rates of ~40% for new products showthat the need-based definition of minimum viable products and the planning of later productgenerations is insufficient. In this paper, the authors present a framework for a disruptionoriented product planning process. Based on a literature analysis focused on methodologies
supporting the development process of potentially disruptive innovations, basic criteria arederived and deficits of existing approaches are identified. The framework will help companies
as a guideline to understand the overall process of how to develop disruptive innovations. It
further explains the essential activities and their interactions.
ME-03.3 [R] Integration of Tool Making into Agile Product Development Using
Industry 4.0 Technologies and Additive Manufacturing Technologies
Gunther Schuh; RWTH Aachen University, Germany
Michael Salmen; RWTH Aachen University, Germany
Christoph Kelzenberg; RWTH Aachen University, Germany
Johan de Lange; RWTH Aachen University, Germany
Producing companies face new challenges to cope with the shortening of the product life
cycles and the increasing of product individualization. The development and manufacturingof a series of production tools have a crucial position between product development andproduction. Therefore, the mentioned trends force tool-making companies to improve leadtimes of tool development and manufacturing. Innovative technologies can be enablers
to catalyze the product development process by reducing the time to market. Industry 4.0
technologies in combination with additive manufacturing technologies are consideredhighly relevant for tool-making companies in order to accelerate product developmenttime. By means of Industry 4.0 technologies, data from past product-development projects,
manufacturing and the utilization phase can be used to support decisions in tool development.
Additive manufacturing technologies can be applied to manufacture early prototypes (rapid
prototyping) or prototype tools (rapid tooling) for securing the feasibility of products, tools
and processes. In order to successfully introduce and use these new technologies, a targeted
technology management is of great importance for tool-making companies. In this context,

64

a methodology for technology management of Industry 4.0 technologies and additive
manufacturing technologies to integrate the overall process of tool making into productdevelopment has been developed.
ME-04 Technology Assessment & Evaluation-2
Monday, 8/20/2018, 16:00 - 17:30
Room: Waikiki Salon 1
Chair(s) Saeed Alzahrani, Portland State University
ME-04.1 [A] An Assessment of the Factors Influencing the Selection of theBest Carsharing Alternative in Portland Area Using Hierarchical Decision
Modeling (HDM)
Saeed Alzahrani; Portland State University , United States
Ahmed Alzahrani; Portland State University, United States
Xuran Dai; Portland State University, United States
Wei-Chen Hsu; Portland State University, United States
Rashi Tiwari; Portland State University, United States
Carsharing is a business model of car rentals that allows consumers to benefit from a private
vehicle for short periods while being relieved of the costs of the purchase and maintenance.
Carsharing is a growing industry and some players are trying to get a hold in the alreadycompetitive market. The current transportation market offers consumers many options forbuying a vehicle, but fewer practical options for using a vehicle occasionally. Carsharing
provides the benefits of allowing easy access to vehicles spread across the city that are rented
per an hour or day. It is an increasingly common option for locals and tourists who want toget from one place to another without spending too much time on public transports. These
have the added benefit of convenience and comfort of four-wheelers without paying much
extra, as in the case of conventional rental cars, taxi, or cabs. This paper uses hierarchicaldecision model (HDM) to evaluate the factors influencing the selection of the best carsharing
alternatives around the Portland area by analyzing different perspectives and criteria that
influence the selection. This paper addresses which criteria are most important to renters andprovides recommendations for renters and carsharing businesses. The findings suggest thatthe most essential criteria for the consumers are insurance coverage, reliability, rental cost,
drop-off options, and gas cost.
ME-04.2 [A] The Social Return on Investment of Young Scientist Competition(YSC): Thailand Case Study
Jintana Pattanatornchai; NECTEC, Thailand
Sinrintorn Insawat; NECTEC, Thailand
Panita Lamsam; NECTEC, Thailand
National Electronic Computer and Technology Center (NECTEC) has established the Young
Scientist Competition (YSC) project that is an annual among science and technology student
projects in Thailand for 10 years. Over 600 projects per year are submitted to the competition.
It focuses on development of young Thai students as it motivates their interests in scienceand technology, allows them to create innovation and engages them into learning scienceand technology outside classrooms. The young Thai scientists have been given opportunities
to use scientific methods to solve real problems and learning based on team management.
It expects an increase in the number of Thai scientists and the values of the research in
the future. This paper aims to study the comprehensive impact evaluation for that project.
We selected the social return on investment (SROI) to evaluate the impact of the Young
Scientist Competition project. The methods of study are based on in-depth interview, survey
and brainstorming with stakeholders, including students and teachers. Data are also provided
by the organizer of the project. The result of the paper demonstrates for every Baht invested
effective in The Young Scientist Competition, there is a return of 11.04 Baht. This positive
return on investment reflects projected income from values of the improving skills suchas science and technology and management including to social skills. Finally, this paper
offers the comprehensive social impact evaluation framework that includes a design of social
outcome and financial proxy from the stakeholder and the secondary data sources.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
ME-04.3 [R] The Study of the Consumers’ Satisfaction and Behavior
Attention of Amusement Park in Taiwan
Yi-Hsien Tu; Minghsin University of Science & Technology, Taiwan
Hung-An Wu; Minghsin University of Science & Technology, Taiwan
Xing Wang Lee; Minghsin University of Science & Technology, Taiwan
Due to nations’ income and living standard rising, people’s consumer behavior and values aredifferent. Most Taiwanese pay attention to leisure activity. However, visitors to amusement
parks are slightly decreased in Taiwan. Therefore, how to attract new consumers and maintainthe existing consumers are the first priorities of the corporation. This research target is using
7Ps marketing research method to discover a consumer’s behavior and purchase intention
in the amusement park. This research is focused on “Lihpao Land” amusement park. The
researcher’s conclusion would be an advice to amusement park operators in Taiwan. The
research proposed 7 variables according to 7ps model, which were product, price, promotion,
place, process, people and physical evidence, to discuss the consumer’s purchase intension
and behavior. The research method is a questionnaire to collect information at Lihpao
Land There was a total of 280 questionnaires in this research. The statistics method used
was chi-square test, ANOVA, t-test, and regression analysis method. The result indicatedthat most variables which are proposed in this research were not significantly related toconsumer demographic information. That indicated the gender, income, and occupation were
not influences on the consumer’s satisfaction and purchase intention. However, the age andeducation significantly influenced the result.
ME-06 Social Media
Monday, 8/20/2018, 16:00 - 17:30
Room: Waikiki Salon 3
Chair(s) Charles M Weber; Portland State University
ME-06.1 [R] Product Popularity versus Size of Conversation in Social Media:
An Analysis of Twitter Conversations about YouTube Product Categories
Nitin Mayande; Portland State University, United States
Charles M Weber; Portland State University, United States
It has always been assumed that a large conversation about a topic on social media implies
that the topic is popular. However, an empirical study of Twitter conversations about a variety
of YouTube product categories, which is described in this paper, has shown that this is notnecessarily the case. Popularity as measured by distribution volume is not necessarily areliable indicator of the size of a community or conversation that is associated with a productcategory. This suggests that current online marketing practices are not nearly as effective as
has been assumed to date. Novel, potentially more effective approaches to online marketingare suggested in the paper.
ME-06.2 [R] The Direction and Adherence of the WeChat Official Account ofChina Association for Science and Technology System for Popularization of
Science in the New Media Era
Xiaolei Zhang; China Research Institute of Science Popularization, China
Kangyou Wang; China Research Institute of Science Popularization, China
Under the current circumstances, as the authorized and official popular science platform,should it comply with the public’s preferences to do drastic adjustments in its content or
insist on positioning? We choose the latter. Because we believe that scientific communication
is not to gain gimmick or a point interest rate, our ultimate goal is to gradually promote thescientific spirit and cultivate public scientific thinking on the basis that ensuring the content
is correct and the language can be understood by the public.
ME-06.3 [R] Identifying the Development Trends of Emerging Technologies: A
Social Awareness Analysis Method Using Web News Data Mining
Xin Li; Beijing University of Technology, China
Qianqian Xie; Beijing University of Technology, China
Lucheng Huang; Beijing University of Technology, China

How to identify the development trends of emerging technologies with disruptive potential
as early as possible is crucial for enterprise research and development (R&D) investment
planning, and government R&D strategic planning. To avoid the weakness of using
scientific papers or patents to study the development trends of emerging technologies,
this paper proposed a research framework to identify the development trends of emerging
technologies based on social awareness analysis. Firstly, we applied the Hierarchical
Dirichlet Processestopic (HDP) model to study the changes of topics of social public concern
to emerging technologies. Secondly, we used an improved sentiment analysis method toanalyze the changing pattern of social publics’ expectations and emotions for emerging
technologies over time. Then, we identified the development trends of emerging technologies
based on the social awareness analysis. Finally, the perovskite solar cells technology is given
as a case study to analyze the effectiveness and feasibility of the research model.
ME-07 Cyber Security
Monday, 8/20/2018, 16:00 - 17:30
Room: Milo I
Chair(s) Robert H Martin; Software Management Consulting
ME-07.1 [R] Exploratory Strategic Roadmapping Framework for Big Data
Privacy Issues
Maoloud Y Dabab; Portland State University, United States
Rebecca Craven; Portland State University, United States
Husam Barham; Portland State University, United States
Elizabeth Gibson ; University of Colorado Boulder, United States
The applications of Big Data continue to expand, due to the many possibilities andunprecedented insights it offers to people, organizations, and communities. However, Big
Data poses serious challenges as well, including challenges to the privacy and security of
individuals and their data. This paper considers how to best address one concern related
to Big Data: the social problems that the pervasiveness of data collection, analysis, andstorage create with regard to individuals’ ability to control their own data. The paper uses
quality function deployment (QFD) and technology roadmapping analysis methods to assess
the social problems, technologies, resources, and industries that are most relevant to data
privacy, and what should be done to address it. The findings indicated that the healthcare
industry is one of the most important industries to consider concerning data privacy
because of the nature of the data generated through medical processes and technologies.
Furthermore, it was found that enforcement mechanisms, specifically in the form of federal
enforcement agencies, are the most effective approach to ensure compliance by actors. It wasalso realized that there are extenuating political circumstances and increased costs that makethe implementation of those policies challenging in the United States.
ME-07.2 [A] Time to Discover and Fix Software Vulnerabilities in Open
Source Software Projects: Notes on Measurement and Data Availability
Steven M Muegge; Carleton University, Canada
S. M. Monzur Murshed; Carleton University, Canada
Reducing the time taken to discover and fix vulnerabilities in open source software projects
is increasingly relevant to technology entrepreneurs and technology managers at all levels of
industry. Rigorous research requires access to valid and reliable data on when vulnerabilities
were introduced, discovered, and closed. This article offers three contributions aboutmeasurement and data availability: (1) an approach to measuring the time to discover andtime to fix vulnerabilities in open source software projects, (2) evidence that combining
project release histories and metrics from two online databases can provide reliable proxydates for vulnerability introduction and fix, but not discovery, and (3) possible technicaland open collaboration solutions to the data availability limitations of current databases.
These results were part of a larger mixed-method study on the relationship between open
source project and community attributes and software vulnerabilities with a data set of 1268
vulnerabilities affecting the software produced by 60 open source projects.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

65SessionsME-08 Leadership
Monday, 8/20/2018, 16:00 - 17:30
Room: Milo II
Chair(s) Jeffrey Busch; Jeffrey S. Busch PMP
ME-08.1 [R] Organizational Project Management (OPM): Exploring Its Need in
Organizations
Yaser Alnasri; Portland State University, Saudi Arabia
Jeffrey Busch; Jeffrey S. Busch PMP, United States
Organizational project management (OPM) is not a “thing” or a “procedure,” rather, it
can almost be described as a “state of being” or “harmony” in the alignment of what anorganization does and how it gets there. OPM has the responsibility to enhance and improve
how an organization achieves its strategic goals. It provides organizations with an intelligent
approach to deal effectively with the various projects and programs required by the market,
its organizational stakeholders, and regulatory agencies, all within the organization’s limited
resources. OPM has the responsibility to support the alignment between the organization’s
business strategy and its projects to achieve the organization’s goals. It is also responsible
for managing risks and dealing with the uncertainty that may prevent the organization fromachieving its objectives. In addition, it enables the organization to measure its capabilities,
then plan and implement improvements to seek the systematic achievement of best practices.
Moreover, it ensures organizational learnings from both knowledge management and lessons
learned. The purpose of the research is to illustrate the important role that OPM must or
needs to play within the organization. This research utilizes the current knowledge base in the
project management environment to answer the question of “Why does an organization needto establish OPM?” In addition to describing OPM’s responsibility in the organization, thepaper will briefly explore four categories - portfolio management, project sponsor, effective
programs and projects management, and strategic project management office (PMO) - forestablishing OPM in an organization.
ME-08.2 [A] Digital Workplace Management: Exploring Aspects Related to
Culture, Innovation, and Leadership

ME-09 Manufacturing Management-2
Monday, 8/20/2018, 16:00 - 17:30
Room: Milo III
Chair(s) John M Ikome; Vaal University of Technology
ME-09.1 [R] Successive Innovations in Global and Local Markets: Strategies
of Global Niche Top Enterprises in Japan
Makoto Hirano; The University of Fukuchiyama, Japan
Daiki Tobino; J.Morita Tokyo Mfg. Corporation, JapanFor many manufacturing small and medium enterprises (SMEs), it is very important toproduce successive innovations for surviving in the recent hard competition in the global
market. This research introduces some cases of so-called global niche top (GNT) enterprises
as best practices of producing successive innovations. Through the research, their efforts
to produce successive innovations were discussed and the key factor of success (KFS) was
analyzed. One effort was to combine technical innovation and service innovation, and anotherwas to combine local business and global business. Both efforts completely depended on
aggressive entrepreneurship of the enterprise top managers. Solidarity and loyalty of theemployees were also important for accumulating tacit knowledge in technology and gaining
credibility for customers as their competitive competence.
ME-09.2 [R] Analysis of the Vulnerabilities of the Supply Chain Network of a
Manufacturing Company Using the Network-Science Approach: S-Electronics
Case
Kyounghwan Chin; SungKyunKwan University (SKKU), Korea, South
HeeSang Lee; SungKyunKwan University (SKKU), Korea, South

Abubaker Haddud; Eastern Michigan University, United States
Dorothy K McAllen; Eastern Michigan University, United States
The digitization of businesses is continuing to take place at a rapid pace as a result of key
influences such as integrated technologies and digital transformation strategies. Suchadoption is changing the way organizations conduct their business and it is crucial that
this impact is fully understood in order to maximize its potential. This paper presents key
elements of a digital workplace and how to build it. The paper also highlights a numberof possible benefits and challenges related to digital workplaces including the workforce’s
productivity and innovation. Furthermore, the paper will examine crucial skills neededby business leaders when managing or leading digital workplaces. Finally, the paper will
evaluate a number of key success factors for the effective management of digital workplaces.
The paper will serve as a valuable source of information regarding how organizations best
manage workforce culture related aspects when digital workplace settings are adopted.
ME-08.3 [R] Cross-Level Effect of Team Paternalistic Leadership and Team
Challenge Stressor on Employee’s In-Role Performance
Yang Qiu; Harbin Institute of Technology, China
Li Zhang; Harbin Institute of Technology, China
Eryue Teng; Harbin Institute of Technology, China
Taisi Lai; Harbin Normal University, China
Most previous studies investigated the impact of paternalistic leadership and challenge
stressor on employee’s in-role performance at the individual level. In this study, we focusedon the impact at the group level. Data were collected from 208 employees within 35 researchand design work teams of a real estate company and architecture design institute in sevencities of mainland China. Team paternalistic leadership and team challenge stressor were rated
by employees, whereas in-role performance was assessed by their immediate supervisors.

66

We found that team paternalistic leadership had a cross-level positive effect on employee’s
in-role performance which was mediated by team challenge stressor. Specifically, in termsof three dimensions of team paternalistic leadership, only team benevolence leadership andteam moral leadership showed indirect effects on employee’s in-role performance mediatedby team challenge stressor.

A steady, consistent, and continual supply of gases and chemicals is very important forthe production of the semi-conductors of S-Electronics, one of the largest semiconductor
manufacturers in the world. The demand is very high for the various gases and chemicalsof S-Electronics, due to the manufacturer’s need for rare gases and chemicals and its
advanced technology. During the global sourcing process, the production and shipping ineach region and country are subject to disruption by natural disaster and executive incidents
including earthquakes, hurricanes, and factory explosions. In this article, we try to analyze thevulnerabilities of the supply chain network (SCN) of gases and chemicals by using network
science, which studies complex networks in consideration of distinct elements that are
represented by nodes and inter-elemental connections in the form of links. We describe thegas and chemical SCN of S-Electronics, which consists of 150 gas and chemical producers
and distribution agents worldwide. In recent years, demand for gases and chemicals has
increased with increasing demand for semiconductors. Since current production capacity
might be not able to meet this demand, supply must be diversified and capacity-up. In thissituation, a stable production and the supply of existing receivers are urgently needed.
Further, we analyzed the characteristics and weaknesses of the SCN by classifying the gas
types, gas companies, and the geographic locations of the companies. Subsequently, we are
now analyzing the SCN to overcome the weak links and nodes. We also expect to predict not
only the loss-control events (risks), which have already occurred and are known, but also theunexpected risks based on a combining of the network-science approach with forecasting
techniques.
ME-09.3 [R] A Study of Factors Contributing to High Raw Material Wastagein Manufacturing Organisations: The Case of an Automation Company in
KZN, South Africa
Shivaar Dukhi; Mancosa Graduate School of Business, South Africa

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
Chipo Mugova; Mancosa Graduate School of Business, South Africa
From a business perspective, maximum efficiency leads to maximum profits, hence thereason many businesses seek methods to minimize material wastage. This study aimed
to identify the factors contributing to high material wastage in a Durban-based automationcompany in South Africa. The study sought to evaluate the effectiveness of current waste
minimization strategies and the challenges experienced to identify possible solutions forrecommendation to address material wastage in the manufacturing sector. The study used
the quantitative research methodology using structured surveys to collect data from a sample
of 100 individuals who are directly linked to and employed by the automation company,
selected using simple random probability sampling. Data gathered from the questionnaires
was analyzed using Excel spreadsheets and the SPSS data analysis software package todetermine critical and significant patterns. The results revealed that the high material wastage
at the automation company is a result of low skill levels, little years of experience, low staff
retention, poor-quality material, and inefficient manufacturing processes and techniques
used. Recommendations presented to management consist of skills development in thefactory, training and monitoring of staff, implementation of staff retention strategies and theimplementation of advanced manufacturing processes to improve production efficiency.
ME-10 Knowledge Management: 2
Monday, 8/20/2018, 16:00 - 17:30
Room: Milo IV
Chair(s) Kazuya Tanaka; The University of Tokyo
ME-10.1 [R] Systems Intelligence and Organizational Knowledge Creation
Yasuo Sasaki; JAIST, Japan
Jader Zelaya; JAIST, Japan
Naoshi Uchihira; JAIST, Japan
Since we live immersed in organizational systems, understanding the set of competencies
that are required for individuals to behave successfully in such systems is of primordial
importance. The concept of systems intelligence (SI), developed in the field of systems
thinking, puts forth a set of competencies in such settings. The relationship between SI
and knowledge management has already been discussed conceptually in a previous study,
particularly in the context of the SECI model, a well-known framework of organizational
knowledge creation (KC). The present study is the first attempt to provide empirical evidence
on the relationship between these two constructs, namely SI and KC. By means of aquestionnaire survey using established scales, we collected data from employees of variousorganizations. We then investigated statistically how each SI competency can affect each KC
process. The results show that, among several SI competencies, both a spirit of discovery
and positive engagement have the most predominant influence on diverse KC activities
in organizations. These findings could be helpful for managers to design mechanisms to
involve people in KC activities in their groups or organizations.
ME-10.2 [A] GridaMed: A Tool for Pubmed Search and Research Trend Map
Generation
Heyoung Yang; Korea Institute of Science Technology Information, Korea, South
Hyuck Jai Lee; Korea Institute of Science Technology Information, Korea, South
Sung Wha Hong; Korea Institute of Science Technology Information, Korea, South
PubMed is the most frequently used search tool for the professionals in biomedical domain.
Many auxiliary tools to PubMed have been proposed to help the users with searching andacquiring knowledge from electronic literatures. However, they are insufficient to overcome
the challenge from drastic increase in the size of the literature, which triggered the need fora new tool. The authors introduce a new tool, GridaMed, to visualize the recent research
trend based on the retrieved documents corresponding to a user’s simple search query to
PubMed. GridaMed utilizes the Medical Subject Headings (MeSH) tagged in the PubMed
documents, which are extracted from the documents, and generates the MeSH map (or MeSH
network) by calculating the correlations of every MeSH term pairs based on the similarities of

the keywords from the document titles. GridaMed provides a feature called “click-and-link,”
which provides the list of documents containing a specific MeSH represented as a node in the
MeSH map. The MeSH map can be used as a “guide map for travelers” for an easy acquisitionof the knowledge on the research trend. The combination of PubMed and MeSH map is
expected to be an effective complementary system for biomedical professionals who find
it difficult to search and analyze information due to the explosive increase in the literature.
ME-10.3 [R] Recategorizing Interdisciplinary Articles Using Natural
Language Processing and Machine/Deep Learning
Kazuya Tanaka; The University of Tokyo, Japan
Riku Arakawa; The University of Tokyo, Japan
Yasuaki Kameoka; The University of Tokyo, Japan
Ichiro Sakata; The University of Tokyo, Japan
Interdisciplinarity has become popular due to the novel approaches in academic research andpapers as well as solutions to various social problems. Thus, research into interdisciplinary
research itself and into interdisciplinarity has also become popular. However, it isdifficult to identify a research discipline precisely, which is necessary for the evaluationof “interdisciplinarity.” For example, in general, research disciplines are categorized inaccordance with the journals that cater to them. Thus, an important multidisciplinaryscience journal, such as Nature or Science, does not belong to the category of “general
research disciplines.” Hence, a new category of “multidisciplinary science” is required for thefundamental evaluation of interdisciplinarity.” In this research, a new method of classificationis conducted by analyzing the abstracts of research papers using machine learning anddeep learning. All the data used is gathered from the Web of Science (PY: 2016). The newclassifier identifies research disciplines including “multidisciplinary science,” in contrast toother current methodologies.
ME-11 Technology Management in the Health Sector-2
Monday, 8/20/2018, 16:00 - 17:30
Room: Milo V
Chair(s) Rainer P Hasenauer; WU-Wien
ME-11.1 [R] Structural Characteristics of Venture Companies Network inJapanese Biotech Industry
Keigo Takai; Kyoto University, Japan
Naoki Wakabayashi; Kyoto University, Japan
Bio-tech venture companies which have a broad alliance network tend to grow and to be listed(=IPO). In addition, it is necessary for venture companies to accumulate internal resources
and capability. That is, both structural characteristics of the network and internal resources
are important for the venture growth in the pharmaceutical industries. As an analysis target,
we covered 186 pharmaceutical manufacturing and reagent manufacturing venture companies
established in Japan, from 1995 to 2015. Then we classified our collection of data mainly
into three groups: IPO ventures, subsidiaries and others. With our data, analysis of variance
was conducted. As a result of analyzing partnerships, IPO ventures have different positions
from other companies in “betweenness.” That is, IPO ventures partly have the function as thebridge of the research and development group in the network.
ME-11.2 [R] An Intelligent Service Planning System for Effective Home Care
Service SchedulingPaul K.Y. Siu; The Hong Kong Polytechnic University, Hong Kong
King-lun T Choy; The Hong Kong Polytechnic University, Hong Kong
H.Y. Lam; The Hong Kong Polytechnic University, Hong Kong
Due to the increasing aging population over the world, it is challenging to take care of the large
number of elderly people who are weak and living alone. In order to assist them to remainpart of the community, home care services are being focused on enabling elderly people
to receive nursing and care services in their familiar home and community environment.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

67SessionsHowever, with the increasing need for home nursing care services, there is an insufficientnumber of nursing staff to provide service to these elderly people. Further, nursing staff may
need to work on tight schedules to fulfill the extra needs of the elderly, and that may affecttheir working performance and result in poor service satisfaction. In this paper, an intelligent
service planning system (ISPS) is designed for facilitating decision making in effective homecare service scheduling. The genetic algorithm (GA) approach is applied in the system toformulate the service schedule for each nursing staff by considering the estimated time forserving the elderly. In order to validate the feasibility of the proposed system, a case study
was conducted in a healthcare center. The results show that the service satisfaction from theelderly and the work satisfaction of the nurses are both increased.
ME-11.3 [R] The Influence of Physician-Patient Interaction on Patients’
Perceived Healthcare Quality: Evidence from the Chinese Mobile Medical
Consultation Section
Hongying Tan; Beijing University of Posts and Telecommunications, China
Mengling Yan; Beijing University of Posts and Telecommunications, China
Yanni Hu; Peking University, China
Improving patients’ perceived healthcare quality in the mobile context is a vital challenge facedby the mobile healthcare practitioners. Although extant literature on perceived healthcare
quality suggests system and interactive factors, it is limited in the interpretation of interactive
factors and corresponding empirical evidence. This work integrates literature on perceived
service quality and physician-patient interaction, and proposes an interaction effect ofpatients’ expectation and physicians’ support on patients’ perceived healthcare quality basedon expectation-confirmation theory. We validated the theoretical model based on 50,256
detailed communication records from 1,210 pediatricians collected from a leading Chinese
mobile consultation service provider. Our results show that physician’s informational andemotional support both positively affect patient’s perceived service quality and that patient’s
expectation negatively moderates the relationships between physician’s support and patient’s
perceived service quality. Theoretical and practical implications are discussed.

TA-00 PLENARY - 2
DATE:
TUESDAY, 8/21/2018
TIME:
08:30 - 10:00
ROOM:
KONA MOKU BALLROOMCHAIR:	DILEK CETINDAMAR; UNIVERSITY OF
TECHNOLOGY SYDNEY
TA-00.1 [K]The Making of a Serial Breakthrough Innovator
Melissa A Schilling; New York University, United States
What makes some people so spectacularly innovative? Throughout history, some people
have become widely recognized for introducing one world-changing innovation after another.
In this keynote, I develop case studies of eight such serial breakthrough innovators: Elon
Musk, Marie Curie, Steve Jobs, Albert Einstein, Nikola Tesla, Dean Kamen, BenjaminFranklin and Thomas Edison. By examining the stories of their childhoods, their work
experiences, their beliefs and motives, I identify those things they have in common witheach other yet simultaneously make them unusual from the “average” person. I then examine
these commonalities through the lenses of innovation and creativity research to examine
the potential mechanisms linking these characteristics and experiences to their exceptionalinnovation. The result is inspiring: The innovators do have unusual traits and characteristics,
and each benefited from situation advantages; however, we can tap many of the samemechanisms to nurture innovation in ourselves and others.
TA-00.2 [K]Recognizing Genius in the Age of Technology: Jobs and Musk
Bulent Atalay; Scientist, Artist and Author, United States

68“Talent hits a target no one else can hit; Genius hits a target no one else can see.” —Arthur Schopenhauer Genius, in the broadest sense of the word, refers to individuals who
display extraordinary intellectual ability or surpassing levels of creativity, the former quality
frequently complementing the latter. But what good is soaring intelligence or lofty creativity if
there is no achievement that is universal and lasting. Our modern age has seen the emergenceof a number of brilliant and imaginative individuals, young heroes of the Age of Technology.
Their contributions have been crucial to contemporary life: science, business, engineering,
medicine, education, publishing, information-sharing, communication, transportation, selfdriving cars, robotics, automation, artificial intelligence (AI), entertainment, art, and social
media. Although none of the innovators or entrepreneurs of the present Information Revolution
could ever claim levels of creativity in the arts and sciences comparable to a Leonardo or an
Einstein, they are, nonetheless, undeniable visionaries inventing the future. The two men
on whom we will focus are Steve Jobs and Elon Musk, already legends, who created a pairof companies that are already defining the future. What are their shared attributes and their
dissimilarities? What are the battles they have waged, and as entrepreneurs of undeniably ofthe highest caliber, what can they teach us?
TB-01 Innovation Management-3
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Kona Moku Salon A
Chair(s) Dimitrios Salampasis; Swinburne University of Technology
TB-01.1 [R] Hierarchical Differences in Supervisor Support and Coworker
SupportYasutaka Hashigami; Tokyo Institue of Technology, Japan
Masaharu Tsujimoto; Tokyo Institue of Technology, Japan
Reference [1]stated that when supervisors act as agents of the organization, then employees
develop global views concerning the degree to which supervisors value their contributions
and care about their well-being. Reference [2] indicated that strength of influence on theperceived organizational support (POS), follows to the status of supervisors. Reference [3]reported coworkers’ influence on POS through social networking. However, there are few
studies on PSS according to hierarchy and PCS. This study investigated the strength of
employees’ perceptions of support from coworker and from supervisors, and the correlation
between perceived coworker support, supervisor support with affective commitment, andcitizenship behavior. Research subjects included are 83 technical employees working in
two factories belonging in a steel manufacturing group located in the region in Japan. We
analyzed the data using regression analysis and covariance structure analysis. We found that(1) perceived support from coworkers had greater influence than that from the factory manager
and immediate supervisors. (2) Perceived support from upper manager influence more thanthat from the factory manager and immediate supervisors. (3) Affective commitment (AC)mediated between perceived coworkers and supervisor support and citizenship behavior. The
study suggested that the perceived support of coworkers and upper managers has a strong
influence on employees.
TB-01.2 [R] Profit Expansion Method by Outbound Open Innovation
Manabu Eto; Hitotsubashi University, Japan
Among open innovations, standardization activities that do not cause a drop in profits,
such as issuing standard essential patents for standardized technologies, can be said to beoffering-type outbound open innovations. Technology providers require a careful strategy
to make a profit from standardization activities. The core of this is to determine in whatstate the technology in the target product itself will be kept, which is the technology control
strategy. What is particularly important is to determine what information will be proactively
disclosed based on the theory, utility, and implementation of the technology, and what
information will be kept secret; furthermore, if multiple technologies are used in one product,
it is also important to have a strategy for the proper use of each technology, such as which
technology should be kept secret in order to secure profits, and which technology should be

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsdisseminated in order to expand the market. In this paper, several cases of standardization are
examined and, by focusing on those that earned profits, technology management strategies
are presented that generate profits using standardization without standard essential patents.
TB-01.3 [A] Service Innovation in the Cloud: Implications for Strategy
Development
Robert R Harmon; Portland State University, United States
Enrique G Castro-Leon; Intel Corporation, United States
Cloud enterprises have shifted from linear to networked business models through a valuetransformation process centered on the development of multisided service platforms. These
platforms facilitate service exchange and value cocreation by enabling three essential
transitions: 1. from control to orchestration of enterprise resources, 2. from internal
optimization to external interactions, and 3. from customer value to ecosystem value.
Innovative service transformation is most in evidence with enterprises that are native cloudcompanies or companies that have more rapidly and effectively adopted ecosystem-based
service platforms such as Netflix, Google, Facebook, Uber, and Airbnb. Service ecosystems
enable the critical processes for value cocreation that is foundational to the continuous
development of innovative user experiences. However, many developers and adopters ofcloud service business models fail to innovate. This is usually blamed on inappropriate
business strategy and/or insufficient technological solutions. However, the root cause
is often more basic; specifically, it is the lack of service thinking that is necessary for thedevelopment of cloud-based service innovation models. This paper explores the service
science foundations of cloud computing and the dimensions of service thinking that
inform the service transformation process for cloud-based companies. A framework for thedevelopment of cloud-based service transformation is proposed with evidence from threecase examples.
TB-02 Entrepreneurship/ Intrapreneurship-2
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Kona Moku Salon B
Chair(s) Alicia Say; National Taiwan University
TB-02.1 [R] Development of Organizational Capability from Entrepreneurial
Identity
Yasuto Ishitani; Kochi University of Technology, Japan
Entrepreneurs’ identities affect how they do business. These identities also become ingrained
into the organizations led by entrepreneurs and affect the organizational behavior of theirmembers. If members’ organizational behavior in the workplace encourages organizational
learning and fosters formation of organizational capabilities, a competitive advantage may
develop. Drawing on the Observe, Assess, Design, Implement - Shared Mental Model
theoretical framework that clarifies the relationship between individual and organizational
learning, this study examined the mechanism by which entrepreneurs’ identity formation
causes organizational behavior and learning, thereby influencing competitive advantage.
The example of Yamamoto Precious Metal Co., Ltd.’s successful establishment of acompetitive advantage in the dental precious metals field provides a detailed description of
the mechanism. As co-founder, Chief Executive Officer Hirohisa Yamamoto led Yamamoto
Precious Metal to hold the top share in the Japanese market of dental alloys for metal-ceramic
restoration. This study examined the mechanism by which the entrepreneurial identity ofHirohisa Yamamoto formed the organizational capability of Yamamoto Precious Metal andultimately led to its competitive advantage.
TB-02.2 [R] Assessment of Water Purification Technologies in Developing
Countries
Danielle Bradley; Pacific Lutheran University, United States
Jennifer Vegh; Pacific Lutheran University, United States
Chung-Shing Lee; Pacific Lutheran University, United States

Renzhi Cao; Pacific Lutheran University, United States
Leong Chan; Pacific Lutheran University, United States
According to the United Nations, there has been a drinking water crisis in many developing
countries. Aside from the direct impact of diminishing health and living condition, there
are secondary impacts on poor education. To combat these issues, there are multiple
technological innovations to solve this crisis. This research has identified six candidate
technologies that are utilizing different methods for filtration and disinfection of harmful
agents to create safe drinking water. In order to effectively choose and weight the criteria,
we utilized both research and industry articles that we leveraged in the gap analysis. Multicriteria decision analysis approach has been applied to evaluate the identified technologies.
The findings of this research can assist communities in developing countries to select theappropriate water purification technologies to improve people’s health conditions. The
research also provides decision support for organizations and governments on which
technology to choose for water purification.
TB-02.3 [A] Economic Growth through Business Model Innovation andTechnological Entrepreneurship
Sebastian Allegretti; Ulm University of Applied Science, Germany
Sven Seidenstricker; Baden-Wuerttemberg Cooperative State University, Germany
Andreas Kasseckert; Ulm University of Applied Science, Germany
To give managers insights into the controllable factors of product and process development,
the identification and validation of the critical success factors have been in the focus of many
researchers in the last decades. While exploring the field of business model innovation, it canbe seen that there is a lack of quantified empirical studies, which investigate these factors, inthis context. This paper aims to identify the success factors for business model innovation,
evaluate the theoretical hypotheses statistically with partial least squares (PLS), and give
recommendations for managerial actions on the basis of a cluster analysis. A cross-industry
management survey was done to collect the sample data. The study consists of 10 constructs,
which are defined as follows: innovation culture, innovation competence, business model
innovation process, network and partner collaboration, acquisition of technology andknowledge, clear product advantage, clear value proposition, customer orientation, customer
retention and price management. To assess the complex nature of business model innovation,
we choose a second-order SEM-model. The contribution of this paper to the management
literature is achieved by providing concrete and validated entrepreneurial action strategies forsuperior economic growth.
TB-04 Disruptive Technologies
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Waikiki Salon 1
Chair(s) Thorsten Lammers; University of Technology Sydney
TB-04.1 [R] Company Data in the Blockchain: A Juxtaposition ofTechnological Drivers and Potential Applications
David Holtkemper; RWTH Aachen, Germany
Simon Wieninger; RWTH Aachen, Germany
The potential of Blockchain technology has long been recognized outside the financial
sector. Wherever data need to be stored and kept decentralized, tamper-resistant, andrealtime-capable without involving a trusted intermediary, applications based on Blockchain
technology promise to create opportunities for innovations of cross-company processes. In
the presented paper, the technical possibilities of Blockchains are analyzed and classified
according to their suitability to address specific challenges. This makes it possible to identify
those technological drivers that are particularly promising for applicability in a corporate
context. This includes, for example, tamper-resistance and security from forgery, which canbe achieved without intermediaries with the help of data encryption methods using hashfunctions. Another technological capability of Blockchains is to provide a high degree of data

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

69Sessionssecurity, which can be realized using public-key cryptography. The technological drivers will
be juxtaposed with data as typically generated in manufacturing companies (orders and orderconfirmations, production data, quality-related data, etc.). Subsequently, the prerequisitesthat these data must meet with regard to storage capacity and transferability will be identified.
By linking the results to the identified technological drivers and functions, it becomes
possible to determine what types of company data have the potential to be successfully stored
and managed in a Blockchain.
TB-04.2 [R] Genomics, Rare Diseases, and Disruptive Innovation in the
Biopharmaceutical Industry
Mark J Ahn; Portland State University, United States
Amir Shaygan; Portland State University, United States
Charles Weber; Portland State University, United States
The multinational biopharmaceutical industry has to deal with significant financialpressures due to its being a very cost-constrained industry. To add to that are the finite
patent expirations on financially successful drugs and the vying nature of the biotech
industry due to new innovations. There has been an increase of smaller markets due to theproliferation of molecular segmentation patient populations in fields such as personalized
medicine. Particularly, due to the significant cost reducing impacts of the development of“next-generation” sequence platforms on DNA sequencing in the last decade, moleculardiagnostics are being considered as cost-effective candidates to be used as a standard
medical test, in terms of risk assessment, confirmation of diseases, and therapeutics.
Biopharmaceutical companies need to reassess their drug development strategies andchoose among alternative prospective business models in order to remain relevant amid the
new innovations and developments. Using a dynamic capabilities lens, this paper examines
the impact of genomics generally and gene therapy specifically on the rare disease sectorof the biopharmaceutical industry by analyzing the public data from 24 genomics-basedrare disease focused biopharmaceutical companies. This study shows that growing rates
of cumulative returns are dependent upon the accumulation of knowledge-based employees
and expanding product portfolios of disruptive genomics-based technologies for treatingrare diseases. Further, this study stresses the significance of structuring the capability andcapacity to absorb expertise and accrue knowledge for new product innovations and viable
competitive advantage.
TB-04.3 [R] What Causes Companies to Transform Digitally?
Thorsten Lammers; University of Technology Sydney, Australia
Laura Tomidei; University of Bologna, Italy
Alberto Regatierri; University of Bologna, Italy
Business leaders and entrepreneurs are facing new challenges in the rapidly transforming
digital economy. The benefits obtained by the employment of digital technologies are broadly
acknowledged. However, decisions need to be made about which technologies to acquireand how to integrate them into the business. In order to do this efficiently, organizations
and disruptors all over the world need to understand the key drivers of digital transformationthat affect their operations and industries. In this paper, the outcomes of a systematic
literature review are presented which identify the drivers for digital transformations across
key industries - using the example of Australia and its five core industries of services,mining, manufacturing, agriculture and construction. Outcomes indicate that drivers for
digital transformation vary significantly across different industries. However, some drivers
such as “environmental sustainability” were found to be important across most industries.
The results contribute to current research in this field by providing a comprehensive overview
of industry-specific transformation drivers. This will support decision-making for technology
managers and provide the foundation for similar studies in other countries.
TB-06 Decision Making-1
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Waikiki Salon 3
Chair(s) Nasir J Sheikh; University of Bridgeport70

TB-06.1 [R] Assessment of Electronic Authentication Policies Using MultiStakeholder Multi-Criteria Hierarchical Decision Modeling
Wonbae Son; SUNY Korea, Korea, South
Nasir J Sheikh; University of Bridgeport, United States
Standards allow society to be efficient and interconnected. For expediency, a country may
adopt a policy of domestic standards which may require reconsideration to conform tointernational ones to support global markets. However, the policy reform process is complex
because adopting standards involves not only technological, but also political, economic,
and social perspectives. Also, there may be conflict and dissent between the transition
winners and losers. An effective method to rationally assess and rank policy alternatives
is with a hierarchical decision model (HDM) that includes competing perspectives andtheir respective criteria. In the early 2000s, the South Korean government standardized
and mandated electronic authentication technologies to mitigate technological gaps in
e-commerce. However, this standardization also created problems causing Korea to lag inonline security and being limited to a Microsoft-specific monoculture. Internationally, otherde facto standards have been adopted such as secure sockets layer (SSL), and blockchain
is being considered. In 2015, the Korean government eventually changed its policy byeliminating the e-commerce mandate to enable banks and other institutions to adopt different
standards. This policy reform took 16 years because of its pervasiveness. In this study, an
HDM is developed specifically for Korea to assess the post-reform policy options.
TB-06.2 [A] A Study on the Prioritization of Policy Instruments Regarding
Gendered Innovations in STI and R&D Using AHP Method
Wonju Hwangbo; Ewha Womans University, Korea, South
Young Il Park; Ewha Womans University, Korea, SouthThe objective of gendered innovations in science technology is to implement better scienceand promote human welfare through gender characteristics analysis. Recently, gendercharacteristics analysis has emerged as an important issue in the holistic process andresults of gendered innovations in science technology. The leaders in science technology
innovation (STI) like the European Union and Stanford University in the United States haveplaced an emphasis on gender as a factor in systemic analysis method and case studies inscientific research and process development. For instance, EU Horizon 2020 has mandated
that all research plans integrate gender as an element in all research proposals. As such,there are efforts to enhance gendered innovations in science technology. Republic of Korea
is not an exception. Korea adopted an affirmative action based on the Act on Fostering andSupporting Women Scientists and Technicians in 2002. Among other efforts by the South
Korean government are the adoption and operation of the Ministry of Gender Equality in
2001, Gender Sensitive Budget in 2006, and Gender Impact Assessment in 2011. This
study focuses on prioritizing certain aspects of the South Korean policy instruments andaround STI and research and development (R&D) which can be enhanced by integrating
gendered innovations. The results of such study are expected to be reflected and factored into
making suggestions to amend the laws on science and technology. This study is expected
to propose important measures to adopt S&T gendered innovations in the national R&D
management system. It has great significance because it tries to build a basis of effective
S&T policy execution using the AHP technique to set the priority in gendered innovations
policy adoption.
TB-06.3 [R] Assessing Key Factors Impacting the Performance of Offshore
Hydrocarbon Projects
Abdulhakim Gaidedi; Portland State University , United States
Tugrul Daim; Portland State University, United States
Offshore hydrocarbon projects have many different and unique characteristics, such asa larger project size, higher number of scopes, higher complexity, etc. In fact, offshorehydrocarbon projects described as mega projects are ones that require significant assessment
and acquisition methods in order to reduce risks and failures. This paper emphasizes thecritical and challenging factors that affect the successful implementation of O&G offshore
projects and their overall performance. Four perspectives have been identified in order toNote: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsassess these factors. These perspectives are financial, technical, geopolitics and geographic.
Under each perspective, there are multiple criteria that are linked to each other with complex
processes and unique challenges.
TB-07 Project/Program Management
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Milo I
Chair(s) Jeffrey Busch; Jeffrey S. Busch PMP
TB-07.1 [A] Elements of Sharing Economy in a Public-Private Partnership: A
Case Study of a Company in Miyako, Iwate Prefecture, Japantent and response validity tests. The identified challenges that fall in high probability-impact
grid area are political instability, cultural impact (the nature of the initiative is transnational),
delays in starting the projects, agreement on equitable sharing, and security to social valuesof people in the cultural context. From the economic perspective, private-public partnerships
should be evolved with clear agreements and the need is to grow our economy in the formof exports. CPEC is not only a transport or logistics corridor but an economic corridor having industrial zones, quality with safety to societal factors and the uplift to the standard oflife style of the people. The NVivo Plus and SPSS were used for data analysis. The researchoutcomes are applicable to manage technology infrastructure projects in other developing
countries as well.

Kengo Miyamoto; Japan Advanced Institute of Science and Technology, Japan
Youji Kohda; Japan Advance Institute of Science and Technology, Japan
Rihyei Kang; Japan Advance Institute of Science and Technology, Japan

TB-07.4 [A] An Approach on Monitoring Evolution of Projects by Professional
Performance Assessment: A Case Study at the Amazon Regional Center of
The National Institute for Space ResearchThis research focuses on elements shared between local governments and private companies
in public and private partnership projects. In the conventional bidding system, there is arelationship between local governments and private companies. In that relationship, the local
government had an authoritative position. However, in public-private partnership projects,
the relationship between public and private bodies are more equal, as both provide capital forthe business. The bodies conduct business as partners sharing a public project. The situation
is similar to the relationship between lenders and borrowers in sharing economies. During
the Great East Japan Earthquake, local government infrastructure was damaged. Private partners were sought to help with repairs. Elements of sharing were verified in two consecutive
cases in Miyako, Iwate Prefecture, a setting heavily damaged by the earthquake. The current
study considered how partnerships in shared public projects were established. The resultsof the interview survey were analyzed revealing that “relationship,” “communication” and“presence” for sharing were key elements.

Marck Silva; Foundation for Science, Tech. & Space Application, Brazil
Marcia Barros; Foundation for Science, Tech. & Space Application, Brazil
Lucyana Santos; Foundation for Science, Tech. & Space Application, Brazil
Marcos Adami; National Institute for Space Research, Brazil
Alessandra Gomes; National Institute for Space Research, Brazil

TB-07.2 [R] Resource Mobilization by ‘Strange Bedfellows’: A Case Study of‘Biomass Nippon Strategy’
Ryo Taniguchi; Hitotsubashi University, Japan
This study investigates when multiple frames can coexist within a given project. Existing
literature shows that actors create a state where multiple frames or meanings coexist, in orderto mobilize the necessary resources from diverse stakeholders. However, there is limited
knowledge on the conditions suitable for such coexistence. To address this issue, this study
examined the case of “Biomass Nippon Strategy.” The results suggest that multiple frames
can coexist when (1) there is no perceived contradiction between each frame, and (2) all
project participants need the others’ frame.
TB-07.3 [A] Implementation Challenges and Handling Project Management
Complexities in China-Pakistan Economic Corridor
Tahire Sarmmad; COMSATS Institute of Information Technology, Pakistan
Muhammad Choudhary; NAMAL, Pakistan
China-Pakistan Economic Corridor (CPEC) is a component of One Belt-One Road (OBOR)
initiative of Chinese government to connect the globe with rail, road and sea links. CPEC
comprises 968 KM road, 1830 KM Rail Link, energy, infrastructure, special economic zones,
industrial parks, mass transit, and social sector development projects stretching from PakChina boarder to Pakistan’s port city of Gwadar. The US$ 64 billion program is under active
implementation. The goal of our research was to identify key program implementation challenges and identification of resolution strategies while executing projects in CPEC portfolio.
We used expert purposive sampling because our research required fetching firsthand knowledge from the key personnel at various Government institutions who have been involved inplanning and implementation of these projects. We identified authorities who are part of the
Joint Cooperation Committees involved in execution, problem solving and decision making
process, and their assignments covered relevant portfolios. The identified challenges/barriers
were classified into financial, technical, political, social equity and human resource categories and used in personal and/or Skype interviews. The challenge/barrier classes passed con-This work investigates strategic management processes of projects involved in the Brazilian
aerospace field, addressing the Regional Center of the Amazon of the National Institute ofSpace Research. It proposes an approach in the monitoring of the evolution of projects by
evaluation of professional performance, showing results in graphs and the need to survey andfollow the most evident and significant technological advances in the mapping environmentof land use and land cover in the Amazon. It addresses the main difficulties faced in theprocess of managing projects and people to achieve goals, needing to know the Geographic
Information System tools used by employees, such as Terramazon, and their respective times
consumed in this type of software. The work intends to serve as a basis for investigating,developing and implementing new management options that will reduce the efforts requiredby managers and administrators during the process of monitoring the evolution of projects.
The methodology of Project Management Institute (PMI) and its Guide to the ProjectManagement Body of Knowledge (PMBOK Guide) was used in this research work, ensuring
an international quality.
TB-08 Science & Technology Policy-1
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Milo II
Chair(s) Junhee Bae; Korea Institute of Geoscience and Mineral Resource
TB-08.1 [R] Pathways for the Co-creation of Service in Academia: An
Ethnographic Analysis of Epistemic Cultures in Japanese Public Shared Core
Facilities
Takashi Onoda; JAIST, Japan
Yasunobu Ito; JAIST, Japan
Japanese public research establishments have played a crucial role as academic-industrial
alliances, so-called “innovation hubs” where, since 2015, shared core-facilities havefunctioned as research infrastructure under the 5th Science and Technology Basic Plan.
Innovation hubs encourage service in academia, including collaborations between industry
and academia in shared facilities owned by public research establishments. Prior research
has highlighted already that shared core facilities in Western countries emphasize efficiency
and usability for external users. However, little attention has been paid to the academic serviceof scientists and coordinators, almost all of who have PhDs and aim to contribute to theiracademic communities. In particular, this article examines pathways for enhancing scientists’and coordinators’ incentives to academic service activities, analyzing the epistemic cultureof service activities in shared facilities, and using ethnographic data obtained in Japanesepublic establishments such as Nuclear Magnetic Resonance (NMR) facilities, Synchrotron
Radiation facilities, and a Neutron source facility.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

71Sessions
TB-08.2 [R] The Strategic Choice for Applying Government Subsidized
R&D: The Relationship among Organizational Resources and Capabilities,
Strategy, and Performance
Chung-Jen Chen; National Taiwan University, Taiwan
Ruey-Shan Guo; National Taiwan University, Taiwan
Yung-Chang Hsiao; National University of Tainan, Taiwan
Kae-Kuen Hu; National Taiwan University, Taiwan
Government subsidized R&D projects have been widely employed to promote innovation
and R&D activities in most OECD countries. From the firms’ perspective, the strategic
choice to participate or not to participate in government subsidized R&D projects affects its
performance. Given the much-debated nature and in-practice importance, this study attempts
to investigate the relationships among organizational resources and capabilities, strategic
choice, and firm performance. The empirical study employs data from the Taiwan Economic
Journal (TEJ) for its timely verified financial data of listed companies in Taiwan. We analyze
the behavior of Taiwanese high-tech firms in electronics and biotechnology industries while
they consider applying for the R&D subsidy from the Industrial Technology Development
Program (ITDP) sponsored by the Taiwanese government. We examined the relationshipbetween organizational resources and capabilities and the inclination towards the strategic
choice of participating in the ITDP, and evaluated their respective performance with a control ofendogeneity bias by implementing Heckman’s two-stage estimation procedure. Our findings
suggest that the tendency of the strategic choice to participate in a government subsidized
R&D project is strongly correlated with a firm’s absorptive capabilities. The strategic choiceof participating or not participating in ITDP in theoretically appropriate conditions is able toenhance firm performance.
TB-08.3 [R] Analysis of Social and Economic Impacts of a Community
Revitalization Program Using Renewable Energy
Yaeko Mitsumori; Osaka University, Japan
In the wake of the Great East Japan Earthquake of March 2011 (called 3/11 in Japan), thegovernment of Japan drastically changed its energy policy, and the use of renewable energy
is an urgent matter in Japan today. Among the variety of renewable energy sources, smallhydropower plants are gaining attention because they do not require the construction of alarge dam, do not emit greenhouse gases, do not require any raw materials, produce energy
continuously, and are suitable for many potential sites in Japan. This study focused on the
Futagawa Small Hydropower Plant in the town of Aridagawa, Wakayama Prefecture, Japan,
and analyzed the impacts of a community revitalization program utilizing revenues fromthe small hydropower plant. Aridagawa constructed this small hydropower plant to utilize
discharge water from Futagawa Dam (0.7 tonnes per second). By utilizing a feed-in-tariff
scheme, Aridagawa will sell electricity produced at the hydropower plant to the local utility
company (Kansai Electric Power Co.). The town is scheduled to recover the entire construction
cost of the plant within seven years, an unusually short amount of time. The town plans toutilize the revenues from the sale of electricity to fund renewable energy education programsfor citizens and to develop renewable energy promotion activities.
TB-09 Collaborations-1
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Milo III
Chair(s) Matti Majuri; Tampere University of Technology
TB-09.1 [R] The Development of Alternative Powertrain Technologies within
Automotive Innovation Networks
Marie Gabel; Muenster University, Germany
Bastian Neyer; University of Muenster, Germany
Philipp Borgstedt; Muenster University, Germany
Gerhard Schewe; Muenster University, Germany
The current simultaneous development of different alternative powertrain technologies is acomplex and expensive challenge for the whole automotive industry. As high risks and costs

72

can be shared and complementary core competencies can be combined, innovation networks
gain importance. Since little is known about these networks, we address the following
research question: What are the structural and strategic characteristics of innovation networks
regarding the different powertrain technologies? Based on our PICMET 2016 Conference
paper, our study contributes to the scientific discussion on patent and network analyses indifferent ways: (1) We show an elaborate search strategy using IPC classes and keywords
in order to generate a valid patent dataset for the four major powertrain technologies: BEV,
FCEV, HEV, and ICEV. The dataset consists of 3,140 bilateral connections between OEMs,
suppliers and companies from other industries for the years 1990 - 2013. (2) We apply arigorous methodological approach within a two-stage network analysis using a multitudeof network measures. Within this analysis, we assess both the macro-perspective of thefour technologies’ networks (stage 1) and the micro-perspective of central and importantcompanies within each network (stage 2). By differentiating the network structures, wehighlight different approaches used by the companies and thereby extend the understandingof cooperation within the automotive supply chain. On the macro-level, the main results
show significant structural differences between the analyzed networks. On the micro-level ofcompany activities, we find strong vertical, horizontal and lateral cooperation. Furthermore,
we identify the central network positions of key players.
TB-09.2 [R] Identification of Factors to Promote Interdisciplinary Research:
A Trial at COINS
Shogo Katoh; Tokyo Institute of Technology, Japan
Giancarlo Lauto; Universita degli Studi di Udine, Italy
Tomohiro Anzai; The University of Tokyo, Japan
Shintaro Sengoku; Tokyo Institute of Technology, JapanDue to the complexity of modern science and growing need for innovative breakthrough,interdisciplinary research (IDR) is expected and widely promoted to solve complex social
problems by integrating knowledge from multiple academic fields. However, conventional
indicators such as the impact factor and the number of citations are not fully applicable forthe evaluation of IDR. Furthermore, publications and patents are ex-post output that can beobtained as a result of research, owning a fatal time lag when conducting R&D management.
To address these issues, the present study aims to explore activity-based leading measuresthat indicate the performance of IDR and can be utilized for the real-time management of IDR.
A survey-based empirical study at an institute for IDR as a case revealed that researchers
who prefer IDR represented significantly higher degrees of (i) relational skills and (ii) a
satisfaction with resources provided by the institute. These findings were verified with asubsequent qualitative observation and an organizational design of an institute to promote
IDR was discussed.
TB-09.3 [R] Managing Collaborative Strategy in 3D Bioprinting Technology
Keun Hwan Kim; Korea Institute of Science & Tech. Information, Korea, SouthWe Shim; Busan Institute of S&T Evaluation and Planning, Korea, South
Dae Sup So; Korea Institute of Science&Technology Information, Korea, South
Seung-Pyo Jun; Korea Institute of Science&Technology Information, Korea, SouthThe potential of a three-dimensional bioprinting (3DBP) technology in core applicationsof the healthcare sector has been paid attention for managing global aging. Currently, thistechnology area is situated in the embryonic stage. Therefore, it is essential to recognize thecrucial factors in the early stage of the industry life cycle which allow firms to increase therate of survival and the capabilities. Due to the scarce resources in young and inexperienced
firms, establishing collaborative strategy plays a vital role in supplement such shortcomings.
However, as the technological development process has been complicated by converging
among heterogeneous technologies, it is difficult to find the potential strategic partners for
new entrants. In this study, we suggest the framework to search the technologically suitedpartners readily and provide detailed information to manage relationships among participants.
In addition, it is the first exploration to provide insights from the strategic perspective rather
than technological one for the entire 3DBP technology industry.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
TB-10 Educational Issues
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Milo IV
Chair(s) Cheryl Hanewicz; Utah Valley University
TB-10.1 [R] Managing Complex Systems: An Educational View
Murat K Yurtseven; Izmir University, United States
Walter W Buchanan; Texas A&M University, United States
The aim in this paper is to explore the major issues involved in managing complex systems
and their relation to university-level education. The subject matter is presented from asystems thinking perspective, concentrating on the modeling and managerial control aspects.
First, some general aspects of complexity and complexity management are reviewed. The
review is conducted within the body of general systems theory (GST) and systems thinking,in general terms, but then focused on the discussion of modeling and managerial control
from the perspective of three major trends in GST: soft cybernetics, system dynamics andscience of complexity. The discussion shows that there still are some questions to beanswered in the use of systems thinking in complexity management. The paper is concluded
by an elaboration of the discussion as related to university-level education, to industrial
engineering and business administration education in particular.
TB-10.2 [R] A Five-Year Study of Core Competencies by Students in a
Technology Management Undergraduate Program
Dorothy K McAllen; Eastern Michigan University, United States
Abubaker Haddud; Eastern Michigan University, United States
Effective technology management programs support students in their knowledge related toskills and competencies required in the workforce. When developing a curriculum relevantto the needs of the students and today’s technology industries, it is important to identify
the prior knowledge and experience that students bring into the program. For this study, an
online survey was utilized to collect primary data from 2013 to 2017 from 289 newly enrolled
technology management students. The study examined their entry level of knowledge throughmultiple questions focused on four competencies: strategic management of technology,
management of technological change, quality management of technology, and assessmentand evaluation of technology. The study found that while two competencies showed anincrease in the first-year students’ knowledge over the five-year period, two competencies
consistently showed a low level of knowledge throughout the same timeframe. The results
also highlighted gaps in students’ competencies when they initially entered a technology
management undergraduate program. The significance of this study will help academic
institutions improve their curricula, which ultimately will better equip students with corecompetencies that contribute positively to their academic and professional success.
TB-10.3 [A] Full-time Professors Dislike Distance Learning: What Can be
Done?
Stephen Ruth; George Mason University, United States
For over a decade the annual Babson reports have indicated that only about 30% of fulltime professors approve of distance learning, and several other more recent reports echothat finding. Since about one third of all college students in the United States are currently
taking at least one course at distance, this means that the pool of teaching talent available tothem is likely to exclude some of the most significant resources at each institution of higher
learning. This paper examines the problem from the perspective of perceived difficulties that
inhibit otherwise suitable and acceptable instructors, especially full-time faculty, from greater
participation in online courses. These perceived difficulties are: threats to an academic
career, confusion about costs and benefits, introduction and proliferation off MOOC’s, higher
cost of online courses, lower student evaluations and response rates for online teaching, pastfaculty boycotts and disagreements concerning online teaching, the role of adjuncts versus
full-time faculty, and unfavorable comparisons with “successful” online programs. While
much of the emphasis on distance learning research lately has concentrated on massive
open online courses, MOOC’s, the vast majority of online offerings are not done in the MOOC

format. Instead, they are unique, proprietary local offerings developed by an individual
faculty member or team and presented using traditional learning management systems like
Blackboard, Canvas and Moodle. So, the individual faculty member is most likely teachingin an individualized modality, not in MOOC format. What can be done to induce more fulltime faculty to participate in online courses? Several options are proposed to improve thesituation, including inducements to the involvement of more tenured faculty, revising the top
management and faculty governance paradigms to include positive awareness of the strategic
importance of distance learning, and taking advantage of the insights from institutions whichhave been able to leverage online learning advantageously.
TB-10.4 [R] Maintaining the Relevance of Technology Management Programsin an Entrepreneurial Environment
Cheryl Hanewicz; Utah Valley University, United States
Pamela Becker; Eastern Michigan University, United States
Pauli Alin; Utah Valley University, United States
Technology Management programs in universities need to keep current with the needs ofbusinesses to remain viable. While it is important for faculty members to remain up-to-datein their areas of expertise, feedback from professionals in the industry is also critical. To
collect such feedback, two undergraduate Technology Management programs - one in the
Midwest and one in the West - sent out surveys to over 1,700 national and international
technology management professionals. Over 350 surveys were completed by respondents
from 30 different countries. Almost 86% of these respondents were employed full-time insectors such as education, computers and information technology, manufacturing, andresearch and development. Respondents were asked about the importance of topics suchas organizational and technological change; project, quality, and strategic management;
information and knowledge management; and management of innovation and productdevelopment. This paper will explore what elements technology professionals believe areimportant to managing technological entrepreneurship of the future. It will also specificallyreport how the responding professionals view skills in areas like launching new products,
understanding patent laws, designing processes, and predicting new product success. The
findings will provide useful insights into how to design tomorrow’s Technology Management
curricula that produces professionals capable of managing technological entrepreneurship.
TB-11 Technology Management Framework-1
Tuesday, 8/21/2018, 10:30 - 12:00
Room: Milo V
Chair(s) Ronald Vatananan-Thesenvitz; Bangkok University
TB-11.1 [R] Improving Systematic Literature Review with Automation andBibliometrics
Nonthapat Pulsri; Bangkok University, Thailand
Ronald Vatananan-Thesenvitz; Bangkok University, Thailand
The foundation of a good research paper is the literature review. But with the vast amount ofresearch papers available today, it has become more challenging to search and screen for
appropriate papers to include in the review. This paper has analyzed different approaches
to a literature review and explains the evolution from the traditional literature review to amore modern systematic literature review. The systematic literature review (SLR) can beclassified into four key stages: planning, conducting, analysis & synthesis, and reporting.
The purpose of this paper is to propose a modified SLR process that includes automation
and bibliometrics. Automation is a method that can operationalize the manual tasks of the
SLR by using specific tools and computer systems. Bibliometrics is a method to analyze thebibliographic data of published literature to provide an overview of the body of knowledge fora given field of inquiry. The proposed modified SLR process improves the previous versions,which rely only on manual search and extraction, by combining the strength of both methods
and integrating them into the stages of the SLR process. This addition to the traditional SLR
will facilitate the process to produce a faster and more effective literature review.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

73SessionsTB-11.2 [R] Proposal of Five Frameworks for Constructing Keystone Strategy
Hiroshi Kubo; Chiba Institute of Technology, Japan
Hiroko Tanaka; Chiba Institute of Technology, Japan
Takashi Kakimoto; Infiswift Inc., Japan“The Keystone Advantage” was presented by M. Iansiti and R. Levien as a strategic patternof the “business ecosystem” to sustain innovation. However, the concrete construction
framework of that strategy is still not fully shown. Therefore, the authors propose uniqueconstruction frameworks, based on the keystone strategy that consist of “system theory,”“architecture,” “standardization,” “modified Utterback-Abernathy model,” and a “platform”
based on the “Project and Program theory.” Furthermore, its effectiveness is validated by thecase study of photovoltaic power generation business.
TB-11.3 [R] A Framework for Building Integrative Scenarios of Autonomous
Vehicle Technology Application and Impacts, Using Fuzzy Cognitive Maps(FCM)
Pei Zhang; Portland State University, United States
Antonie Jetter; Portland State University, United States
Currently, autonomous vehicle (AV) technology is considered a potentially life-changing
new technology that brings science fiction to life and can fundamentally impact how andwhere people live and work. As is the case with any new technology, it is unknown how the
future will unfold. Instead, ideas about the future can be captured through scenario planningand used to develop a range of plausible, alternative futures (or scenarios). These scenarios
can be used for strategic decision-making in technology and urban planning, transportation
and business. Because policy makers, technology developers, and end-users all need tomake assumptions about future AV technology, there is a growing number of research on
possible future developments, that each represent the unique perspective of the different
stakeholder groups. However, an integration of these pieces of the puzzle into a holistic viewof alternative futures (i.e., scenarios) is still lacking. We propose a framework for scenario
planning that leverages the insights from existing work on AV technology and integrates themany perspectives with the system-modeling technique of fuzzy cognitive maps (FCM). We
apply the framework in a case study. The work thus introduces a new approach to tackling thechallenging problem of scenario planning for emerging technologies with many impacts. It
also provides a review of the current status of AV technology.
TD-01 Innovation Management-4
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Kona Moku Salon A
Chair(s) Robert R Harmon; Portland State University

TD-01.3 [R] Meaningful Innovation in Corporate Activities from the Viewpointof Financial Data
Yuji Matsuno; Hitotsubashi University, Japan
A meaningful innovation in corporate activities is not a mere discovery or inventions but aseries of corporate activities that create effective economic effects for business activities.
Effective economic effects for business activities are increases in sales, operating profit,
productivity, current assets, fixed assets, total assets, and surplus profits. From the financial
data of the listed companies of the Tokyo Stock Exchange (TSE) first and second section
between 1956 and 2016 and the listed companies of Japanese Association of Securities
Dealers Automated Quotations (JASDAQ) and Market of the high-growth and emerging stocks(Mothers) between 1987 and 2016, the rate of change of these indices was determined. Whenthe rate of change of these indices of a company were continuously increased, meaningful
innovation should have occurred in the company. Next, the author collected some casestudies on companies that judged that meaningful innovation had occurred, classified
them according to indicators that showed an increasing trend, and organized the causes ofinnovation by type. By doing this, the author generalizes the causes of innovation obtained
from case studies of individual companies and clarifies the cause of each type of innovation.
In addition, the direction of the case study for companies that have not been subject toresearch will be clarified.
TD-02 Entrepreneurship/ Intrapreneurship-3
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Kona Moku Salon B
Chair(s) Yasuto Ishitani; Kochi University of Technology
TD-02.1 [R] Technopreneurial Characteristics Rising from the Ashes ofCreative Destruction

TD-01.1 [R] Diffusion of Innovations and Personal Network

Matti A Sommarberg; Tampere University of Technology, Finland
Saku Makinen; Tampere University of Technology, Finland

Mariko Tsutsui; Kindai University, Japan
In this research, we will consider knowledge creation and knowledge sharing of the recruiters
in the process of dissemination of innovation and analyze the innovation adaptor’s network.
Specifically, in the course of adopting new medicines to doctors, we will examine theknowledge created by doctors and clarify the researcher network which is the mother ofknowledge creation.
TD-01.2 [R] Creating Value through Complexity: Partial Compatibility asa Sustaining Strategy in Japan’s Contactless Integrated Circuit Payment
SystemMasaharu Tsujimoto; Tokyo Institute of Technology, Japan
Fredrik Hacklin; Eidgenossische Technische Hochschule Zurich, Switzerland
The challenge of managing platforms has recently gained widespread attention. Even
though there are various concepts focusing on building, managing, and sustaining platform
ecosystems, the question of how to capitalize on a platform from the perspective of a focal
firm - the platform leverage - remains an unexplored area. This study proposes the notion

74

of partial compatibility as a novel mechanism of platform leverage. Partial compatibility
consists of intra-platform envelopment by complementors and platform involvementof end users by connecting with the different platforms owned by complementors. The
complementors maintain semi-compatibility to the widely diffused install base of thecreator’s leading platform, but end users are bound to the followers’ platform. We argue thatpartial compatibility enables the follower to establish a sustainable competitive advantage
following a winner-takes-all strategy, even though the install base might be smaller. We
investigate the case of the FeliCa-based contactless integrated circuit payment system inJapan. Our empirical analysis is based on a longitudinal historical dataset from 1988 to2015 and interviews with 29 executives involved in the ecosystem. We contribute to theplatform literature by highlighting a dynamic functional mechanism resulting from partial
compatibility as a rational strategic choice for achieving platform leverage.

This paper uses the grounded theory building method to investigate the differences andsimilarities in the evolutionary paths of three entrepreneurial ventures. Theory-based reasoning was used to select cases representing different technopreneurial business models,
namely product, expert service, and integrated product-service business models. Our cases
emerged from a disrupted global technology corporation and they represent the economic
activity emerging from classical creative destruction. We investigate the evolutionary pathsof these ventures from their start-up by employing the resource-based view (RBV) approachto determine the critical change points and watershed events that guide the path of the cases.
With these analyses, we are able to differentiate the performance differentials and evolutionary trajectories of the cases. The cases suggest that while the strength of the original pathis strong, it is possible to change the course despite path dependencies. We outline themechanisms that facilitated these transitions (e.g., finding a suitable equity fund as a catalyst
to make the change). Hence, we find that entrepreneurial ventures are not as path dependent
as previous studies suggest; rather, there is managerial discretion to change the evolutionary
trajectories. Our study suggests that the capabilities acquired over a long period of time in

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsa global technology corporation contribute to the ability to change the path. We discuss thetheoretical and practical implications of the critical decision points during the evolutionary
trajectories of ventures.
TD-02.2 [R] Acceleration of a Social Entrepreneurship Through Federation of
Equity-Based Crowdfunding
Aki Tomita; Toyo University, Japan
Equity-based crowdfunding, featuring globally-spread Internet use, a small amount of investment from each backer and the public involvement, has a potential for raising a big
amount of money from a long-term perspective. Many countries, including Japan, are aiming
for economic growth by promoting entrepreneurship, reformed regulations to allow equitybased crowdfunding, open calls on the Internet. Leveraging the Internet of Things to create
a new social infrastructure needs a large investment, which is revealed in the GE Industry
Internet. For addressing social issues such as energy, environments and longevity using IoTtechnologies, this paper proposes a federated crowdfunding structure where complementary
campaigns operate cooperatively by using a common IoT platform. Also, this paper analyzes
application of this proposal to previous renewable energy projects. It is concluded that a federated and IT-augmented equity-based crowdfunding platform could contribute to keeping astartup that aims to solve social problems going.
TD-02.3 [R] Academic Entrepreneurship: Commercialization of University
Research and Entrepreneurship Education at an Entrepreneurial University
Zong-Tae Bae; KAIST, Korea, SouthThe concept of entrepreneurship has been recognized and developed in the various context
such as commercial entrepreneurship, corporate entrepreneurship, social entrepreneurship,
and academic entrepreneurship. Many research-centered universities have been sourcesof spin-off companies and technology commercialization. Now they are transforming into
entrepreneurial universities. The purposes of this paper are (1) to develop the model of anentrepreneurial university, (2) to analyze activities of some entrepreneurial universities, (3)to design a system to promote technology commercialization and entrepreneurship education, and (4) to suggest a further research agenda for academic entrepreneurship. KAIST has
been a leading research-centered university in Korea and has played a key role in promoting
R&D commercialization and university spin-off. To cope with social demands on new rolesof universities, KAIST is accelerating the innovation on education, research and commercialization system. This paper reviews the activities, strategies and performance of technology
commercialization and university spin-off, and presents a new model of an entrepreneurial
university. Many leading universities have their own strategies and systems and are facing many challenges. This paper will discuss the challenges ahead and suggest a research
agenda for university entrepreneurship. This study could provide the groundwork for discussions on specific issues related to academic entrepreneurship.
TD-04 Technological Roadmapping
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Waikiki Salon 1
Chair(s) Tugrul Daim; Portland State University
TD-04.1 [R] Reference Architecture Model in Medicine
Shingo Kano; The University of Tokyo, Japan
Reference Architecture Model in Industry 4.0 (RAMI4.0) aims to map existing standards,
identify lack or overlap of standards, and clarify the relationships among standards. In the
medical field, technology standards and regulations for one product or medical treatment
consist of complex combinations and cause difficulties in understanding current settings andfinding the opportunities to form new technology standards or regulations. The Reference
Architecture Model in medicine would be a useful tool to solve this type of issue. This study
evaluates parameters of RAMI4.0 using DNA microarray diagnosis as a case based on existing regulations and technology standards and examines the possibilities of a Medical RAMI.

TD-04.2 [A] Data-driven Roadmapping Turning Challenges into Opportunities
Ummaraporn Pora; Chulalongkorn University, Thailand
Natcha Thawesaengskulthai; Chulalongkorn University, Thailand
Nathasit Gerdsri; Mahidol University, Thailand
Sipat Triukose; Chulalongkorn University, Thailand
A number of organizations are struggling with roadmap implementation. While somecompanies implement it successfully, many cannot effectively apply the roadmap to theirstrategic operations. Keeping an up-to-date roadmap to reflect changes in the businessenvironment is considered a major challenge in the field. The main focus of this explorative
study extends the understanding of roadmap implementation and addresses the opportunities
and challenges for future research by illustrating four case studies from both the private
and public sectors. Semi-structured interviews with top management were conducted toobtain common critical components. The findings from this study highlight and confirm
the major challenges involved in keeping the roadmapping process alive, as represented inprevious studies. The results of case studies reflect the challenges and opportunities withintegrating big data and transforming existing processes into data-driven roadmapping. This
paper proposes a conceptual design for a system to help keep the roadmap alive - accuratelyreflecting current economic and business conditions, based on insights constantly obtained
from various streams of information sources. Comprehensive analyses of existing data
could help to detect the ongoing changes and indicate economic, social, and technologicaltendencies. Supervised learning, unsupervised learning, time series, and text mining aresuggested techniques for providing useful insight and substantial information from themultitude of data. This approach can be integrated into the decision support system, basedon an algorithmic, semi-automatic evaluation of roadmap status.
TD-04.3 [R] Technology Planning for Aligning Emerging Business Models
and Regulatory Structures
Kelly R Cowan; Portland State University, United States
Tugrul U Daim; Portland State University, United States
Smart Grid has the potential to produce over $2 trillion of benefits in the US utility sector over the next 20 years, according to a study by the Electric Power Research Institute.
However, the study also projects significant costs of up to $476 billion to achieve these
returns. Therefore, while smart grid represents an enormous opportunity, with a benefit-tocost ratio of nearly 6 to 1, given the enormous financial sums at stake, it is crucial that theplanning process for smart grid be done with extreme care. Planning the deployment of smart
grid technology in the electric utility sector can be a complex and difficult process due toregulatory frameworks that have evolved to protect consumers, the need for development ofstandards regarding numerous emerging technologies, and the need for emerging businessmodels which can fit with these evolving technology and regulatory frameworks. Technology
roadmapping provides a number of useful tools which can help with the planning of smart
grid development, but a highly integrated approach is needed to accommodate the full range
of factors mentioned.
TD-04.4 [R] Business Model Innovation Roadmapping: A Structured
Approach to a New Business Model
Amaury Schaller; Bangkok University, Thailand
Ronald Vatananan-Thesenvitz; Bangkok University, Thailand
Stefania Mariano; Bangkok University, Thailand
Roadmapping is a structured approach to analyze an organization’s business environment
for potentially disruptive changes. Traditionally termed technology roadmapping (TRM), theapproach is used as a management tool for planning, forecasting and administration. Morerecently, firms apply the technique with a more general mindset to formulate business strategies for innovation that can address such disruptive changes. As part of their business strategy and to survive the intense competitive market environment, an organization also needs
to have an appropriate business model in place. However, to incorporate constantly changing
market dynamics, an organization needs to evolve and change its business model. This paper
introduces a structured approach to business model innovation roadmapping that defines theNote: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

75

Sessionstransition path from a current to a desired business model. The purpose of the paper is todescribe the process of developing a business model innovation roadmap and identify what
structure (layers, components and time horizon) should be incorporated. The business model
innovation roadmapping approach is proposed to serve an organization as a forecasting andplanning tool that can identify potential gaps, and also to recognize and act on events that
require a change of direction in the actual (customer) value proposition.
TD-05 Technology Adoption-1
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Waikiki Salon 2
Chair(s) Kunio Shirahada; Japan Advanced Institute of Science andTechnology

autonomous driving and online connectivity capabilities, namely, connected autonomousvehicles (CAVs), is an emerging technology which may contribute to the solution of thisproblem through adoption. This paper aims to shed light on the effect of different levels of
CAV adoption on congestion through scenario planning with fuzzy cognitive mapping. Different future scenarios on CAV adoption based on research and development being done on
CAV technology are run through a fuzzy cognitive model of congestion developed through adetailed literature review. Results indicate CAV adoption provides an opportunity for reducing
congestion, therefore suggesting that investing in CAV enabling upgrades of existing roads
and giving incentives for CAV adoption are viable options for city planners’ and local governments’ project portfolios to reduce congestion.

TD-05.1 [R] Impact of External Stimuli on Social Media Engagement: A SME
Perspective

TD-06 Decision Making-2
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Waikiki Salon 3
Chair(s) Young Il Park; Ewha Womans University

Olumide Adebayo; University of Bridgeport, United States
Elif Kongar; University of Bridgeport, United States
Nasir J Sheikh; University of Bridgeport, United States

TD-06.1 [A] A Cloud-Based Fuzzy Multi-Criteria Decision Support System for
Procurement Process in Facility Management

This paper aims to define and analyze the factors contributing to the frequency and rate ofsocial media platform utilization. The focus of the research is on social media big data andweather as an external force. Juxtaposing weather-related data, Twitter metadata and various
data mining algorithms are used to determine the relationships between an external condition
and the level of user engagement on social media. The research findings indicate that weather
attributes alone and in combination with others have direct influence on the level of user
engagement. While there are several leading social media platforms in the USA, the researchutilized Twitter considering data over a one-month period. The highlights of this research
will help organizations that run social media platforms estimate resource utilization basedon provided weather forecasts. The paper illustrates the drivers of social media engagement
while providing data sourcing and social media platform organizations with directions forresource allocation and provisioning.
TD-05.2 [R] Assessing the Determinants of ERP-Enabled Shared Platforms
across Multi-Business Organizations: An Empirical Investigation
Samuel Fosso Wamba; Toulouse Business School, FranceThis study focuses on the adoption and acceptance of an enterprise resource planning (ERP)enabled shared platforms by semi-autonomous firms. ERP systems have become almost
ubiquitous in large organizations. In this paper, we develop and test a research model thatlinks technology acceptance model and top management involvement to outcomes performance. We look at the effects of various ERP attributes, along with behavioral intentions andusage of ERP-enabled shared platform on their outcomes performance. The study uses amixed methodological approach, and the hypotheses that are developed and tested in themodel can serve as a starting point in future studies for further development while providing
important insights that may better support ERP system adoption decisions. The literature
about ERP is quite mature and diverse. However, ERP-enabled shared platform across multibusiness organizations remains an emerging topic that is still to reach its full development.
TD-05.3 [R] Effects of Future Connected Autonomous Vehicles on Freeway
Congestion Using Fuzzy Cognitive Mapping
Hakan Kutgun; Portland State University, United States
Vivian Du Pont; Portland State University, United States
Henry Jenzen; Portland State University, United States
Continuing population growth and urbanization are projected to add 2.5 billion people to
the world’s urban population by 2050. It is evident that this will increase traffic congestion, especially in the urban areas, which will bring economic, safety, environmental andquality of life challenges. There are various organizations looking for possible solutions to
reduce the impact of future congestion by long-term planning, but most of these studies do
not take into account emergence of disruptive technologies. The concept of vehicles with

76

K.P. Pun; The Hong Kong Polytechnic University, Hong Kong
King-lun T Choy; The Hong Kong Polytechnic University, Hong Kong
H.Y. Lam; The Hong Kong Polytechnic University, Hong Kong
Procurement in facilities management is a complex process for linking different stakeholders
together to form an integrated service; it is a crucial process for identifying the best sourcesof supplier and best suited contractor in improving the efficiency of resources allocation,
maintaining equipment reliability and availability to enhance facilities conditions in orderto reduce business risks, attract tenants, and increase asset and building value. Hence, abuilding’s return of investment (ROI) and payback can be incredibly beneficial by enabling
the procurement decision to meet its strategic objectives in an economic, efficient andeffective manner. However, in the current process, procurement is financially consuming
and expensive as it requires high demand of manpower and involves an enormous amountof paper work for managing requests, quotations, bid requirements and evaluations. Also,
there is lack of quantitative measures by incorporating linguistic selection criteria fromdomain experts in the procurement selection process for improving competitive advantage.
Even though applications of digitalization for conveying information to digital format instreamlining internal process have been considered, competitiveness and capabilities
assessment of current supply base, quantitative and qualitative data analysis on contractor
selection and relevant performance feedback are lacking to support the decision-marking.
Therefore, in this paper, a cloud-based fuzzy multi-criteria decision support system (CFMDS)
is proposed for integrating with the procurement process for performing award analytics toidentify the best suited supplier and contractor. The procurement officer can then formulate afollow-up plan based on the recommended results.
TD-06.2 [A] Investigation of Corporate Entrepreneurship in South African
Mining Companies
Charmaine Bilankulu; University of Pretoria, South Africa
Elma Van der Lingen; University of Pretoria, South Africa
Corporate entrepreneurship (CE) implementation is seen as one of the solutions to ensurecompetitive advantage, especially in adverse economic times. The current economic state
will require mining companies to be innovative. This study aimed to investigate the presenceof CE in South African mining companies. The objective of the research was to investigate
entrepreneurial behavior / activity and conduct a gap assessment for the successful
implementation of CE. The results showed that mining companies do have entrepreneurial
activity, administered at the corporate and business unit level, whose main reason is toremain competitive. Prominent entrepreneurial activity is through external and joint corporate
venturing in order to consolidate markets and to diversify. The mining companies investigated
do not have a dedicated CE framework. A specific CE framework should be decided on andembedded from top management down to the rest of the company. The mining companies

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionscurrently operate on the CE opportunistic model; a shift to the CE producer model could be
advantageous. Mining companies could place greater emphasis on remaining competitive
through employing organizational rejuvenation, whereby they sustain and improve theircompetitive standing by modifying internal processes, structures, and capabilities.
TD-06.3 [R] An Algorithm for Supporting Decision Making in Stock
Investment through Opinion Mining and Machine Learning
Yujin Jeong; Dongguk University, Korea, South
Sunhye Kim; Dongguk University, Korea, South
Byungun Yoon; Dongguk University, Korea, SouthThis paper suggests an algorithm for supporting decision making in stock investment
through opinion mining and machine learning. Within the framework of supporting decision
making, this research deals with (1) fake information filtering to accurate foresight, (2) credit
risk assessment, and (3) prediction based on critical signal detection. At first, financial data,
including news, SNS, and the financial statements, is collected and then, among them, fakeinformation such as rumors and fake news is refined by author analysis and the rule-based
approach. Second, the credit risk is assessed by opinion mining and sentiment analysis
for both social data and news in the form of sentimental score and trend of documents foreach stock. Third, a risk signal in stock investment is detected in accordance with the credit
risk derived from opinion mining and financial risk identified by the financial database.
Consequently, the possibility of credit events such as delisting and bankruptcy will beforecast in the near future based on the risk signal. The proposed algorithm helps investors
to monitor relevant information objectively through fake information filtering as well as tomake correct judgments in stock investment.
TD-08 Technology Management in the Energy Sector
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Milo II
Chair(s) Chung-Huei Kuan, National Taiwan University of Science &Technology
TD-08.1 [R] A Study of Determination of Energy Performance Indicator for
Applying Energy Management System in Industrial Sector
Hong Souk Shim; Korea Energy Agency, Korea, South
Sungjoo Lee; Ajou University, Korea, South
Establishing an energy management system (EnMS) is a useful approach for improving energy
efficiency. The International Energy Agency (IEA) recommended that the EnMS is a key policy
for achieving energy performance, particularly in the industrial sector, which consumes
large amounts of fossil fuels. Previous studies suggested numerous energy performanceindicators (EnPIs), which are based mainly on two models: 1) energy intensity (i.e., kWhper ton) and 2) the statistical model (i.e., linear and nonlinear regression). The selectionof appropriate EnPIs is context specific, with various factors involving organizational,
industry, and energy source-related characteristics affecting it. Although having the right
EnPIs is essential for achieving effective energy management, few researchers have attempted
to provide guidelines for their application. Therefore, the aim of this study was to present
a framework for investigating alternative EnPIs and to choose the best one based on theapplication context. The Delphi method and the analytic hierarchy process were adopted tointegrate relevant expert knowledge in a systematic manner. The research findings indicatedthat six factors - data collection, the consideration of relative variables, the choice of analytic
methodology, reliability, an understanding of the analysis results, and practice and training- are regarded as significant selection criteria for EnPIs, and the two approaches of linear
regression and energy intensity were preferred regardless of the context.
TD-08.2 [R] Offshore Wind Energy Research Trajectory and Trends
Chih-Hung Hsieh; Yuan-Ze University, Taiwan
Louis Y Lu; Yuan Ze University, Taiwan
Chien Huei Lin; Yuan Ze University, Taiwan

John S Liu; National Taiwan University, Taiwan
Offshore wind power (OWP) is an important green technology owing to its stability, and sites
for OWP projects (wind farms) are easily obtainable. The authors reviewed 2,217 papers
collected from Scopus and used main path analysis (a citation analysis method) to determine
the trends in OWP studies. Based on their analysis, they categorized some OWP concepts,
including wind farm model, wind farm monitoring, wind speed measurement and analysis,cost and economic analysis, and floating OWP. Furthermore, they found that OWP can be
combined with a wave energy unit to generate stable electric power. It is important to monitor
the wind turbines of large OWP plants, and OWP plants should be located far from the shore.
In this case, floating OWP is more economical than fixed OWP. In addition, high-voltage
direct current (HVDC) is more feasible then high-voltage alternating current (HVAC) in termsof cost and stability. However, the magnetic effect of OWP on fishes, plants, and fishermen
is uncertain. The European Union plans to install OWP capacity of 40 GW by 2020 and 150
GW by 2030. The results of this study can guide policy making and investment decisions.
TD-08.3 [R] Energy Management and Sustainability In The Brazilian Mining
Industry
Ana Paula Perlin; Federal University of Santa Maria, Brazil
Clandia M Gomes; Federal University of Santa Maria, Brazil
Kamila Frizzo; Federal University of Santa Maria, Brazil
Jordana M Kneipp; Federal University of Santa Maria, Brazil
Francies D Motke; Federal University of Santa Maria, Brazil
Corporate sustainability is based on the company’s efforts to minimize the negative impacts
caused by industrial activities, aiming to preserve the environment, the society’s wellbeing
and the business economic prosperity. Energy management and its effective use have beena major focus in the sustainability scenario, once energy efficiencies in goods production
may have a significant impact on sustainable performance and are considered a key factor inbusiness competitiveness. In this regard, the study aimed to examine energy management
practices and their relation with sustainable performance in the Brazilian mining sector. The
study adopted the descriptive and quantitative method and was conducted through a survey
with member companies of the Brazilian Mining Institute (IBRAM). Results indicated thatthe mining industries tend to adopt practices such as energy apportionment and demand bysectors as well as incentives to employees to save energy. On the other hand, the industries
less often tend to adopt practices relating to certification and the Internal Commission ofEnergy Conservation (CICE). In general, it was possible to identify significant correlations,which indicates that energy management is a practice that is positively associated with theindustry’ sustainable performance.
TD-08.4 [R] Exploration or Exploitation?: The Impacts of Renewables inFuture Energy Demands
Oludare Olorunniwo; Obafemi Awolowo University, Nigeria
The global energy outlook projects renewable energy on a 6.6% growth increase per annum,
estimated by 2016 fuel shares. This trend has supposed a change in the evolving energy
landscape toward cleaner energy, improved energy efficiency, and a lower-carbon economy.
However, declines in the energy market alongside unprecedented global economy recession
showed that the expected cost reduction footprints are yet from achievable. What technology
innovations are necessary to guarantee sustainable developments in renewables? How
could paradigm shifts in climate policies revive and retain a renewable energy path? This
paper elaborates on the case for sustainable energy market reforms via global initiatives andsynergies associated with emerging renewable energy technologies. The techno-economic
evaluation outlines the leadership roles of technology in future energy demands and capacity
growth targets.
TD-09 Collaborations-2
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Milo III

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

77Sessions
Chair(s) Gerhard Schewe; Muenster University
TD-09.1 [A] Data Exchange across Museum Platforms in Thailand
La-or Kovavisaruch; NECTEC, Thailand
Taweesak Sanpechuda; NECTEC, Thailand
Krisada Chinda; NECTEC, Thailand
Sodsai Wisadsud; NECTEC, Thailand
Thitipong Wongsatho; NECTEC, Thailand
Anuwat Chaiwongyen; NECTEC, Thailand
The concept of aggregating museum data to be shared amongst organizations and museum
visitors is not novel one; however, it has historically been difficult to sell. Within the UnitedStates, the development of a shared network amongst nine art museums took 40 years tocomplete. As most museums in Thailand still operate on a paper-based catalog, we are along way from even transitioning Thai museum catalogs into the digital era. However, theNational Electronics and Computer Technology Center (NECTEC) has initiated two platforms
to begin progress towards modernizing our museum experience; e-Museum, a collection
management system, and Museum Pool, a content management tool. With funding fromThailand Research Funding, we were able to implement these two platforms on six museums
in Northern Thailand. To increase the success rate of this project, a standard communication
protocol was required to facilitate the exchange of information between two platforms. We
proposed the data exchange project and launched pilots in the aforementioned sites. After
implementation, curators completed a survey regarding their experience with our web
application, resulting in an average review score of 4.5 out of a 5-point scale. A particularpoint of note is that our model is not limited to two platforms - it is scalable with standardized
metadata and standardized communication protocols. Although the concept described isquite straightforward, we encountered some complications in deployment which will need tobe adapted for diverse environments.
TD-09.2 [R] Social Capital Characteristics in R&D Project Networks
Matti Majuri; Tampere University of Technology, Finland
Minna Lanz; Tampere University of Technology, Finland
Network research has multiple approaches that offer knowledge related to multiple network
types. This article identifies and discusses social capital characteristics in the context ofgovernment-funded R&D project networks. Previous literature on this context has typicallyfocused on collaboration between universities and firms while our interest is solely oninterfirm relationships. Secondly, the previous literature on interfirm collaboration typicallyconcerns other types of networks such as strategic alliances. We argue that to understandthe dynamics of inter-firm collaboration in R&D project networks, the research needs to be
conducted in a coherent environment. Data for this qualitative research was collected byinterviewing 18 firm representatives who had experience participating in government-funded
R&D projects. We recognized social capital characteristics in R&D projects and organizedthese findings under structural, cognitive and relational dimensions of social capital.
Results indicate that project networks’ social capital characteristics differ in many parts fromstrategic alliances and thus support our argument. The results can be exploited by project
coordinators, innovation officers and project network members to facilitate the interfirm
collaboration in R&D project networks.
TD-09.3 [R] A Study of the Factors Influencing Industry-Academia
Collaboration Activities in Private Universities
Yoshikazu Yamaguchi; Chiba Institute of Technology, Japan
Jun Fujimoto; Chiba Institute of Technology, Japan
Akira Yamazaki; Chiba Institute of Technology, Japan
Takehiko Koshiyama; Chiba Institute of Technology, Japan
It is imperative that industry-academia collaboration activities are implemented successfullyto achieve open innovation , and such awareness has grown in recent years. Private companies
and universities are organizations with very different purposes and characteristics; it istherefore generally difficult for them to cooperate with each other. We focused on industry-78

academia collaboration activities and factors influencing them in private universities. This
study aims to reveal which factors influence industry-academia collaboration activities inprivate universities and to what extent. Based on the case of Japanese private universities,
the data on industry-academia collaboration activities and candidates for influencing factorsof 136 private universities, including 62 private universities with engineering faculties, werecollected, and individual and comprehensive relationships were analyzed. As a result, thepositive factors influencing the 136 universities and 62 universities were identified as follows:
number of graduate students, and number of research papers or amount for grants-in-aid forscientific research. On the other hand, the negative factor influencing the 62 universities
was number of undergraduate students. Consequently, it is necessary to expand graduate
schools, reinforce basic research, and increase the number of researchers corresponding
to the number of undergraduate students. We hope these results are useful for considering
university management and for planning policy measures.
TD-10 Information Management-2
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Milo IV
Chair(s) Yung-Lin Chen; Asia University
TD-10.1 [A] Data Storage Cost Reduction by Decluttering Image and Video
Data: Case Study of Video File Decluttering
Takanari Matsuda; The University of Tokyo, Japan
Tomotaka Goji; The University of Tokyo, Japan
Ichiro Sakata; The University of Tokyo, JapanBig data growth does not stop. Companies are forced to store data without knowing its value
or usage because data has potential to become next revenue opportunity. Since the costfor storing data increases as the amount of data grows, efficient data storage methods are
required. We introduce a method to reduce the cost of data storage by partial declutteringof image and video data. In our method, only the portions of image or video files containing
recognized objects are extracted. This is based on the assumption that images of objects ofinterest may be used in the future, but other image data, such as the background, can bediscarded. We use the neural network computer stick from Intel Corporation to accelerate thecomputation. In the case study of a video file, our method successfully reduced the data size
by approximately 50% on average. In addition to that, we realized a low-cost method thatcan be applied not only to large companies but also small to medium companies by using a
low-cost hardware accelerated implementation. We interviewed experts in corporate IT data
management and qualitatively demonstrated that our method is valuable and effective. Our
research has contributed to IT managements’ decision-making support to resolve their data
storage vs. cost problem.
TD-10.2 [A] A Customized Procedure for Product Knowledge Flow Across aFirm’s Internal Value Chain
Nataly J Flores Marca; University College of Southeast Norway, Norway
YangYang Zhao; University of Oslo, Norway
An effective internal value chain for a firm is to gain competitive advantage, which a large
set of resources circulate to add value to the final product or service. Knowledge, as a key
resource, can circulate across the internal value chain for a firm’s better performance. However, there is a lack of a systematic mechanism for a sustainable flow of knowledge across afirm’s internal value chain. This study develops a customized procedure to ensure an efficientknowledge flow across the firm’s internal departments. Based on the literature review and bestpractices from the case study, a four-step customized procedure is outlined.
TD-10.3 [R] Topical Analysis of Scientific and Technical Reports Based on
Topical N-Grams Model
Shengmei Du; ISTIC, China
Shuo Xu; Beijing University of Technology, China
Lijun Zhu; ISTIC, China

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
Haodong Zhang; NAIS, China
As one of the important carriers of scientific & technical (S&T) intelligence, S&T reports canreflect the line of S&T development, recover the latest news of S&T fronts, and even provide
insight into the trends of S&T development. Researches on developing and utilizing S&T
reports in our Chinacountry mainly focuses on the following: publication and distribution
of S&T reports in the form of book and electrical publication, database construction, service
mode, intelligent property and so on. The deep data mining on S&T reports remains largely
under-studied. This work tries to discover the domain latent topics of S&T reports with the
topical n-grams model. In order to determine the number of topics of S&T reports for somespecific domain, the calculation method of perplexity of the topic n-grams model is put
forwarded with the dynamic programming in this study. Finally, 70 domain topics are discovered from 1,357 S&T reports in the tumor domain, such as “molecular mechanisms/tumor
cells,”, “system biology/key methods” and so on. Experimental results show that it is feasible
and efficient to discover the latent topics from S&T reports with the topical n-grams model.
TD-11 Technology Management Framework-2
Tuesday, 8/21/2018, 14:00 - 15:30
Room: Milo V
Chair(s) Takao Nomakuchi; Wakayama University
TD-11.1 [R] A Case Study on Fintech in Japan Based on Keystone Strategy
Takao Nomakuchi; Wakayama University, Japan
Japanese Digital Consumer Electronics Manufacturer declined and collapsed. It is said thatthe cause is the modularization of technology in architecture theory. There is a Japaneseindustry that is similarly undergoing modularization, which is the financial industry. This
paper clarified that FinTech modularizes financial technology. For that purpose, we analyzed
the function and structure of FinTech. Also, although it is possible that FinTech could change
the existing financial industry structure in Japan, the objective was to propose from the caseconsideration that the management strategy in that environment is Keystone Strategy. As aconclusion, FinTech was found to be modularized because it has increased its added value
after fragmenting financial services technology and breaking it apart. In addition, even if it
continues to stay in the integral part, its comprehensive financial services part is inferior to
FinTech, so it was expected that it cannot stay in the integral.
TD-11.2 [R] Dynamics of Competition and Strategy: A Literature Review ofStrategic Management Models and Frameworks
Mohammadsaleh Saadatmand; Portland State University, United States
Maoloud Dabab; Portland State University, United States
Charles Weber; Portland State University, United States
This research reviews a comprehensive and somehow chronological literature in the models and frameworks of competition and strategy. Strategic management research is shaped
around a core question: Why do some firms outperform others? Several significant lines
of work have emerged in the strategic management field since its infancy. These include
industrial organization, the resource-based view and dynamic capabilities. Also, competition essentially has been the focal point of scholars with diverse perspectives such as industrial economics and structural analysis, strategic groups, game theory, and competitive
dynamics. In this research, we represent and summarize different perspectives of scholars
in framing competition and strategy that are related to theory of the firm and differential
firm performance; also, we show that there is a trend from static to dynamic frameworks ofstrategy and competition which have tried to find an answer to differential firm performance.
Finally, we conclude by addressing the potential for utilizing new dynamic and systemic
perspectives regarding theorizing dynamics of strategy and competition.
TD-11.3 [A] Unified Business Intelligence Ecosystem: A Project Management
Approach to Address Business Intelligence Challenges
Bhavana Ramesh; Connective DX, United States
Akash Bali Ramakrishna; Portland State University, United States

The purpose of this paper is to explore a concept that improves the success rate of businessintelligence (BI) projects by looking at it as an ecosystem rather than standalone project. This
paper discusses the importance of business intelligence initiatives and today’s challenges in
implementing them. The concentration is on using proven practices of project management
to reduce the failure rates of the BI projects by evaluating the currently existing information
technology (IT) project process, BI frameworks and a project vulnerability process in orderto adopt some of the best project management practices that work for business intelligenceprojects. The paper studies currently existing processes and introduces a new concept which
henceforth will be termed as “Unified Business Intelligence Ecosystem” framework (UBIE).
This research is based on various project management frameworks, those that are provento increase the efficiency of projects, and far-ranging sources of research on the natureof BI projects, personal observations and real-world BI consulting experience. Research
limitations/implications: BI is a constantly developing field. Partial standardization andextensive availability and access to BI resources have created many definitions and buzz
words in the industry. The assumptions described in this research might seem arguable
given the reader’s experience in this field. Originality/value: The paper presents a different
perspective to view and manage BI projects. It encourages one to interpret BI projects as an
ecosystem by combining technical, business and management aspect rather than separate,
standalone entity. The aim of this research paper is to achieve BI success by customizing
project management (PM) practices to fit the unique need of BI projects.
TE-01 Innovation Management-5
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Kona Moku Salon A
Chair(s) Mariko Tsutsui; Kindai University
TE-01.1 [R] Efficient Project Portfolio Management: Avoiding Value
Destruction by Promoting Social Returns on R&D
Bonginkosi R Ngqulunga; University of Pretoria, South Africa
David Walwyn; University of Pretoria, South Africa
Changes in the external and internal business environment may induce a redirection of company strategy, which can result in the destruction of a company’s valuable intellectual assets(people and knowledge), generated through formal R&D investment. These intellectual assets may be of value to both the company and society, and their termination of projects as aconsequence of the re-shaping of company R&D portfolios may result in the destruction ofknowledge useful to society. This study investigates four main aspects: 1) What is the likelihood of a change in business strategy that will impact negatively on an R&D project portfolio
value? 2) What is the extent of the impact of changing business strategy on R&D portfolio
value? 3) What steps are being taken by companies to avoid destruction of shareholder value
and maximize social return on investment in the event of R&D portfolio changes, and; 4)What portfolio management methodology can be used to mitigate the risk of portfolio value
destruction as identified in the questions above? This research paper deals with steps being
taken by companies to avoid and or minimize destruction of shareholder value and maximizesocial return on investment in the event of R&D portfolio changes.
TE-01.2 [R] Analysis on Technology Convergence Mechanism Using
Weighted Gene Co-expression Network
Hong Miao; Beijing University of Technology, China
Yan Wang; Beijing University of Technology, China
Lucheng Huang; Beijing University of Technology, China
Feifei Wu; Beijing University of Technology, China
Xin Li; Beijing University of Technology, China
Technology convergence is a hot research topic within a challenging field. It is of greatsignificance to analyze the fusion mechanism and mine the key technologies that affect technology convergence, which can guide the development of technology fusion and improve
the independent innovation capability of enterprises. It is a novel idea to introduce genetic
engineering into the process of technological innovation and convergence as the similar

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

79Sessionsrecombination process they both have. In this study, weighted gene co-expression network
analysis (WGCNA), which is based on the similarity measure of a topological overlap structure, was utilized in the analysis of the International Patent Classification (IPC) of patents. In
this analysis, the gene with a high correlation was identified as a “technical gene module”
using the dynamic tree cut algorithm. Furthermore, hub technology genes, which are highly
related to technology fusion and have high connectivity in the module, could be obtained.
This study revealed the internal relationships present in technologies and provided novel
ideas for researching the fusion mechanism of technology convergence.
TE-01.3 [R] Cluster Analysis of ICT Companies Based on Innovation
Ambidexterity Dimensions
Nima G Mokhtarzadeh; University of Tehran, Iran
Mehdi Mohammadi; University of Tehran, Iran
Pedram Pourasgari; University of Tehran, Iran
Mohammadreza Zarefard; University of Tehran, United States
The concept of innovation ambidexterity has been used in many researches in order todescribe the levels of exploitation and exploration activities in companies. Even thoughbalanced dimension (BD) and combined dimension (CD) of exploitation and exploration activities have been employed in some recent researches to measure innovation ambidexterity,
the calculation of BD and CD is still based on levels of exploitation and exploration scores.
In this paper, we elicited the characteristics of BD and CD and measured them as a new variable called integration capability. After clustering Iranian ICT companies based on BD, CD
and integration capability, using the k-means algorithm, the characteristics of these clusters
were investigated regarding their innovation output and R&D characteristics. The results indicate that in the cluster with greater innovation ambidexterity level, a higher percentage
of companies are engaged in product and marketing innovation and conduct internal andcontinuous R&D.
TE-02 Entrepreneurship/ Intrapreneurship-4
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Kona Moku Salon B
Chair(s) Aki Tomita; Toyo University
TE-02.1 [R] Establishing Entrepreneurship Ecosystems Based on Digital
Technologies: A Policy Roadmap Approach at the City Level
Dilek Cetindamar; University of Technology Sydney, Australia
Thorsten Lammers; University of Technology Sydney, Australia
Nathalie Sick; University of Technology Sydney, Australia
The last decade has witnessed the rise of technology-based entrepreneurs who managed tobuild companies based on the use of emerging digital technologies. However, the pure availability of digital technologies in a particular country does not guarantee the establishmentof successful companies and economic growth. Companies are located in certain regionalor urban environments with varying contextual factors. Cities have been a popular unit ofanalysis for technological development and economic activities due to their high dependency
on immediate local environmental factors. Nevertheless, the literature offers a limited viewon the relationship between technological developments and entrepreneurial activities at thecity level to identify feasible frameworks to support a digitally competitive entrepreneurial
ecosystem. By combining the previous literature on entrepreneurship and digital technologies within a particular urban context, this paper offers a conceptual approach that might help
policy makers to plan the future competitiveness of their cities.
TE-02.2 [R] Trust in Entrepreneur - Venture Capitalist Relationships: A
Bilateral Perspective
Kristina von Gehlen; University of Muenster, Germany
Maximilian Holtgrave; University of Muenster, Germany
Ann-Marie Nienaber; Coventry University, United Kingdom
Gerhard Schewe; University of Muenster, Germany

80

For new ventures, acquiring venture capital (VC) investments is crucial in order to growsuccessfully. Using a two-study mixed-methods design, we detail and empirically test aconceptual framework about the development of cognition- and affect-based trust between
ventures and VC-investors, and the influence of trust on resource transfer and new venture
growth. Grounded in exchange-theory and based on interviews with 18 VC-investors
and venture-founders in Germany (Study 1), our framework posits that informational andinterpersonal signals, sent out by the entrepreneur during first negotiations, help overcome
initial information asymmetries and build trust. Trust then lays the foundation for the transfer ofthe financial and non-financial resources required for venture growth. We test this frameworkusing structural equation modeling with empirical data on 119 out of 500 (23.8%) German
technology-based ventures (Study 2). Our data indicates that entrepreneur interpersonal
signaling is decisive in building initial affect-based trust. This leap of faith, however, thenneeds to be substantiated by the ventures performance, underscoring the development ofcognition-based trust. In sum, both dimensions of trust are important preconditions forresource transfer, whereby we find that new venture growth is most significantly driven byfinancial support. Implications of our findings for theory and practice are discussed.
TE-02.3 [R] Richard Branson and Virgin Galactic: A Case Study ofEntrepreneuring as Emancipation
Steven M Muegge; Carleton University, Canada
Ewan Reid; Carleton University, Canada
The space industry has experienced a profound paradigm shift: once the exclusive domainof government, military contractors, and incumbent aerospace companies, space isincreasingly accessible to new entrants founded by ambitious, well-resourced, and wellconnected entrepreneurs from outside the traditional industry. We present early resultsfrom an ongoing study of technology entrepreneurship in the space industry, focusing
here on the entrepreneuring actions of Sir Richard Branson, founder of Virgin Galactic. We
employ the emancipatory perspective on entrepreneuring - a theoretical lens that challenges
the traditional notion of entrepreneurs as profit-driven wealth-maximizers by focusing
instead on impetus and actions for change. We begin by reviewing the core ideas of theemancipatory perspective - that entrepreneurs are motivated by a driving need to bringabout change that disrupts the status quo, and enact change by authoring new relationships,
arrangements, rules of engagement, and positions of power, and by making declarations ofintent to create change. Using publicly-available sources, we identify and report examples ofseeking autonomy, authoring, and making declarations by Branson. Finally, we discuss the
explanatory power of the emancipatory perspective and the implications for the theory andpractice of technology management.
TE-03 PANEL: Meet the Editors
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Kona Moku Salon C
Chair: Timothy Anderson, Portland State University
Panelists B arry Bozeman; Arizona State University
Scott W Cunningham; Delft University of Technology
Tugrul Daim; Portland State University
Kathy Eisenhardt; Stanford University
Nathasit Gerdsri; Mahidol University
Elicia M Maine; Simon Fraser University
Harm-Jan Steenhuis; Hawaii Pacific University
Steven T Walsh; University of New Mexico
Meet the editors of the Technology Management related journals. The editors will be discussing the philosophies, criteria, and submission processes of their journals and answer
questions from prospective authors.
TE-04 Technological Forecasting
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Waikiki Salon 1

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
Chair(s) Ichiro Sakata; The University of Tokyo
TE-04.1 [R] A Link Prediction-Based Method for Identifying Potential
Cooperation Partners: A Case Study on Four Journals of Informetrics
Lu Huang; Beijing Institute of Technology, China
Yihe Zhu; Beijing Institute of Technology, China
Yi Zhang; University of Technology Sydney, Australia
Xiao Zhou; Xidian University, China
Xiang Jia; Beijing Institute of Technology, China
Global academic exchange and cooperation have become increasing trends in both academia
and industry, but how to quickly and effectively identify potential partners is becoming anurgent problem. This paper proposes a link prediction-based model to help researchers
identify partners from a large collection of academic articles in a given technological area.
We initially construct a co-authorship network and take a series of indices based on networkand similarity of researchers into consideration. A fitting model of link prediction is thenestablished, in which logistic regression analysis is involved. An empirical study on fourjournals of informetrics is conducted to demonstrate the reliability of the proposed method.
TE-04.2 [R] Forecasting the Diffusion of Product and Technology Innovations:
Using Google Trends as an Example
Daniel Duwe; Fraunhofer IAO, Germany
Florian Herrmann; University of Stuttgart, Germany
Dieter Spath; University of Stuttgart, Germany
Product innovations represent the backbone of sustainable entrepreneurial success. In
times of increasingly short development and life cycles of products on the one hand and anincreasing degree of product complexity and individuality on the other hand, the right timingof the development and market introduction of physical and digital product innovations has
become the key success factor for companies. The forecast of the diffusion of innovative
product technologies and in particular the tipping point after which they significantly penetrate
the market is therefore of paramount importance both for new and established companies.
Research has found answers on how to identify technological change, yet the prediction of
the timing of technological change remains unsolved. Traditional life-cycle models usually
measure the development of products and technologies based on one criterion such as salesor performance and lack in the definition of variables and their measurement. However,to predict the diffusion of innovative product technologies, multiple factors and theiroperationalization have to be taken into account in technology-push-market-pull systems. On
the technology side, patents and publications have been acknowledged as valuable indicators
for progress. On the market side, appropriate indicators still need to be identified. Therefore,
in this paper a quantitative scientometric analysis of past innovations has been performed
using Google Trends, a service which has recently taken on greater significance. The analysis
yields a significant correlation.
TE-04.3 [R] Detecting Hotspots in Interdisciplinary Research Based on
Overlapping Community Detection
Lu Huang; Beijing Institute of Technology, China
Xiang Jia; Beijing Institute of Technology, China
Yi Zhang; University of Technology Sydney, China
Xiao Zhou; Xidian University, China
Yihe Zhu; Beijing Institute of Technology, China
Disciplinary fusion has been observed in a range of previous studies, which creates great
benefit in science, technology, and innovation. However, how to detect and distinguish thehotspots in interdisciplinary is a challenge for not only researchers but also stakeholders
in government and industry sectors. A keywords’ co-occurrence network is constructed byusing academic articles published between 2012 and 2017 in the field of information scienceand artificial intelligence. Then, statistical methods are applied for finding the regularities
of distributions of term frequency and keywords’ k-cliques. Furthermore, the software
CFinder, which is based on clique percolation method (CPM) algorithm and is used for

detecting overlapping communities, is utilized to visualize the network. At last, we find that“social media”, “conceptual model, “big data” and “crowdsourcing” are the hotspots ofinterdisciplinary research in this case.
TE-04.4 [R] Co-word Analysis to Detect Possible Combinations for Composite
Materials
Chika Fujisue; The University of Tokyo, Japan
Hajime Sasaki; The University of Tokyo, Japan
Hiroko Yamano; The University of Tokyo, Japan
Ichiro Sakata; The University of Tokyo, JapanAs the development of new composite materials can take over 20 years, a less timeconsuming approach to considering the vast number of possible combinations of materials
and predicting their physical characteristics is required. Material informatics, a field of study
combining information technology and material science, is one such promising approach
whereby researchers use information technology to predict the physical characteristics of newcomposites. In the present study, we adopted a link prediction approach of co-occurrencewords to detect possible combinations of previously uncombined materials in order to assist
the development of new composite materials. We observed research areas of composite
materials and estimated their growth in the immediate future. Using the bibliographic dataof academic papers, we extracted co-words from the titles and abstracts and created cooccurrence networks of material words. From these networks, we extracted the optimal
materials for detecting new combinations. This research contributes to the acceleration of
the design of new composite materials by reducing the time and cost to research and develop
new materials.
TE-05 Technology Adoption-2
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Waikiki Salon 2
Chair(s) Samuel Fosso Wamba; Toulouse Business School
TE-05.1 [R] Critical Factors for Adoption of Wearable Technology for the
Elderly: Case Study of Thailand
Shayarath Srizongkhram; Japan Advanced Institute of Science and Technology, Japan
Kunio Shirahada; Japan Advanced Institute of Science and Technology, Japan
Navee Chiadamrong; Thammasat University, Thailand
The populations of developing countries are moving to the ageing society. Although healthrelated technologies have been accelerating economic performance for more than two decades, in many cases, they are not enhanced to be useful for the users, especially the elderly.
One such technology is the wearable device that can save humans by detecting episodic. The
use of wearable technology has been forecasted to grow continuously. In the case of Thailand, it is expecting the aged society by 2025. The studies on wearable technology adoption
for the elderly and creating new business are very limited. The research aims to determine
the critical factors that affect the expectation of the customers, including the elderly and caregiver, to adopt wearable device technology. The study was conducted through the quantitative
survey given to the elderly and caregiver. The expected results of this research can be used todevelop product and service offerings by the technology entrepreneurship so that it matches
the customer expectation, leading to a better customer well-being in the ageing society.
TE-05.2 [R] Public Broadcaster’s Big-data Technology Trajectories: The Caseof NHK and BBC
Ruiz Navas Santiago; Tokyo Institute of Technology, Japan
Kumiko Miyazaki; Tokyo Institute of Technology, JapanThe competitive environment of the broadcasting sector is changing; under this change, public broadcasters have to adapt to keep being relevant to their users. Big-data technologies
play an essential part in the technological side of these changes. Our objective is to identify
the public broadcasters’ big-data technology trajectories in this changing environment. We
propose two research questions to narrow down the objective: What are the big-data technol-

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

81Sessionsogy trajectories of public broadcasters? Also, which are the directions of big-data technologies proposed by the public broadcasters? We propose as the method, to analyze scientificpaper’s keywords and combine it with network analysis. We compare two datasets, big-data
and public broadcasters. The big-data set is borrowed from a previous work done by the authors which detected big-data keywords proxy of knowledge convergence. The public broadcasters’ dataset is created from the scientific publications reported by BBC and NHK. We
match the big-data converging keywords to the keywords of the BBC and NHK publicationsand visualize their behavior over the time (2008-2016). We analyze the documents linked
to the shared keywords on both datasets to identify the big-data technology trajectories andpropose future directions. We identified as big-data technological trajectories for BBC, linked
open data, recommender system, semantic web, and image processing; and for NHK, speech
recognition, generate metadata to index NHK’s programs and augmented reality (AR). Concerning their future, the detected trajectories are expected to be useful for broadcasters andorganizations related to their value chain.
TE-05.3 [R] Chatbot Technology Adaptation to Reduce the Information Gap in
R&D Center
Apivadee Piyatumrong; NECTEC, Thailand
Chatchawal Sangkeettrakarn; NSTDA/NECTEC/SPT, Thailand
Sopawan Witdumrong; NSTDA/NECTEC/OED, Thailand
Jitpapas Cherdgone; NSTDA/NECTEC/HROD, Thailand
Information gap is an important obstacle occurring within multi-disciplinary publicly-funded
R&D organizations. It prohibits employees from knowing information about internal procedure as well as the research center’s products. From the stability and continuity point ofview, the wider the information gap among employees, the lower the efficiency to reach themission-vision of R&D centers. This work studied particularly the internal process dimension of competing values framework as it assesses directly the stability and continuity ofan organization. This study used semi-structured interview and proposed to adapt Chatbot
technology to help reduce such information gaps. The quantitative and qualitative analyses
have been discussed. The results show that the methodology used in this work can illustrate
the current organizational climate, particularly in the internal process facet, and confirm theusefulness of the proposed Chatbot technology adaptation for the case study R&D center.
This study suggests that a research center should manage its own research products in a waythat it can be reached by its employees. This makes it more efficient to disseminate knowledge and products of the research center to the private sector and to society.
TE-06 Decision Making-3
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Waikiki Salon 3
Chair(s) Elma Van der Lingen; University of Pretoria
TE-06.1 [R] Developing a Decision Model Framework to Assess Arms
Supplier Policies

Lone Seboni; University of Botswana, Botswana
This research is a follow-up from a previous study regarding the development of amathematical model for allocating project managers-to-projects (PM2P). The aim of thecurrent study is to develop an industry application for the PM2P practice, in the form of adecision support system (DSS), as part of operationalizing the mathematical model. Boththe depth and breadth of literature surrounding the PM2P practice were appraised andintegrated in a creative manner, using concepts from different disciplines, to produce anapplication customized to the working environment of a specific case organization. Based onreal-life input data from the case organization to verify the functionality of the application, theresults reveal the robustness and usefulness of the DSS. This study is the first major attempt
to propose a novel and integrated industry application that is superior to existing PM2P
approaches. This attempt is a contribution to existing knowledge because it addresses theissue of user-friendliness to practitioners for the first time.
TE-06.3 [A] Computer Assisted Technology Intelligence: An Introduction
Franck Komi Adjogble; University of Hagen, United States
Oliver Ullmann; University of Hagen, Germany
Andreas Patzold; University of Hagen, Germany
Joachim Warschat; University of Hagen, Germany
Thomas Fischer; University of Hagen, Germany
Antonino Ardilio; University of Hagen, Germany
Technology depends on innovation - but innovative developments are hard to predict. In
addition to existing approaches for technology forecasting, the use of data envelopment
analysis (DEA) provides valuable insights and prediction data. DEA offers a method toevaluate the relative efficiency of analyzed entities. Using the efficiency analysis featuresof DEA in technology forecasting enables predictions for future developments based on
historic data. This paper introduces the Computer Assisted Technology Intelligence (CaTI)
system. CaTI implements the technology forecasting using the DEA method by Oliver Inman,
while modifying and expanding the method with the dynamization of the technological rateof change calculation using regression analysis, neural network and system dynamics.
CaTI is an interactive system that processes data from a variety of sources and provides
a comprehensive set of calculation methods. The results of the calculations are graphicallyprovided to the forecaster. CaTI implements new approaches to the use of network dataenvelopment analysis in technology forecasting to examine the efficient interdependencyof subcomponents of a technology. The system supports new functionalities such as
collaboration of several forecasters in different locations. The paper describes the individual
calculation modules that make up CaTI, their interaction and implementation as softwaresystem.
TE-09 Strategic Management of Technology-1
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Milo III
Chair(s) Sergio M Borja; Seoul National University

Sungjin Kim; SUNY Korea, Korea, South
Nasir J Sheikh; University of Bridgeport, United States
Comparative assessment of arms supplier policies by recipient nations is rationally important for arms purchase. However, such assessment is typically context-dependent orsometimes skewed by one or two perspectives. The use of a rational decision model inassessing and ranking policy options has been widely studied and is considered here. This
novel research develops a hierarchical decision model (HDM) framework consisting of therelevant perspectives, their related criteria, and appropriate policy alternatives. Through aliterature review a taxonomy was developed consisting of technological, economic, political,
industrial, and military (TEPIM) perspectives, 13 criteria, and 65 sub-criteria. Then, basedon elicitation of expert judgments, arms supplier policy alternatives were found to be represented by 3 archetypal policy profiles: hegemonic power, commercial trade, and selective
export. This framework will be applied to future research involving an arms recipient’s importdecision making.

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TE-06.2 [R] Development and Verification of an Industry Application to
Improve the Project Manager-to-Project (PM2P) PracticeTE-09.1 [R] Improving Network Positions through M&As: The Case of theJapanese Pharmaceutical Industry’s International Expansion
Balazs Fazekas; Kyoto University / Kyoto Tachibana University, Japan
Yuanyuan Gong; Hyogo Prefectural University, Japan
In this paper, we propose a novel strategic motivation for M&As. We argue that beside
traditional strategies, such as geographic extension, vertical integration, extension of the
product line, and developing R&D capabilities, M&As can also be undertaken and analyzed
with a field or network perspective. M&A strategy can be thought of as a particular tool
to improve an organization’s position within an organizational field and to build specificnetwork positions. Thus, a number of strategic M&As undertaken by a company can help
it move towards a more beneficial position and gain access to vital resources embedded

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsin the network through social capital. These positions can also provide new collaborative
opportunities. For our investigations, we looked at top firms in the Japanese life science
industry and attempted to understand how these firms were able to become more central in
the international network, where they had only occupied quite peripheral positions. We also
looked at one particular case through a qualitative lens, the case of Takeda Pharmaceutical,
to see how the process takes place in more detail and found that M&As lead to newcollaborations and acquisitions that the company would probably not have taken without thehelp of their previously acquired companies.
TE-09.2 [R] Incumbent Firm Capacity Building in Analytics: Strategy,
Structure, and Innovation Management Perspectives
Mel Horwitch; Central European University, Hungary
Milos Milicsevics; Central European University, Hungary
This paper focuses on discerning patterns of analytics adoption in incumbent firms using
insights from strategy, structure, and innovation management disciplines. Patterns ofanalytics activity are studied for Honeywell, Emerson, Pfizer, and Merck as they strive tobuild capacities to achieve competitive success in analytics. First, keyword queries using asingle database were run. Second, based on a wider set of public domain sources, analytics
activity at these firms was further examined. Perspectives of strategy professionalism,
incrementalism and adaptive strategy, and general management strategy were employed. In
terms of structure, to leverage analytics’ potential, incumbents try especially to navigate an
explicit-implicit dichotomy, to acquire relevant knowledge and talent, to leverage external
ecosystems, and to build complex, sophisticated structures. Incumbents increasingly
utilize diverse innovation management approaches, including managed developmentof new technology (R&D), commercialization and scaling, renewal and disruption, andentrepreneurialism. Even in such a heavily quantitative arena, developing relevant generalmanagement competencies is identified as an especially prominent aim for incumbents.
More generally, incumbent firms entering analytics not only aim at obtaining superior
analytics-specific skills (e.g., coding and software development). Such firms also strive more
broadly to upgrade relevant strategy, structure, and innovation management competencies.
Questions for subsequent research are also offered.
TE-09.3 [R] IEC Standard Revision Dynamics: Symbiosis between Standard
and Technology
Seungyeon Moon; Sungkyunkwan University, Korea, SouthKyounghwan Chin; Sungkyunkwan University, Korea, South
Heesang Lee; Sungkyunkwan University, Korea, SouthThe International Electrotechnical Commission System of Conformity Assessment Scheme
for Electrotechnical Equipment and Components (IECEE) enables each country to test
products based on the same International Electrotechnical Commission (IEC) standard andto issue a test report that is accepted by other countries, instead of requiring that individual
countries test products based on different national standards. In this way, it is possible toreduce costs, simplify the certification process, and reduce trade barriers. Relevant extant
studies on standardization have focused on the network effect of the standard, the standardsetting process, and its political aspect. The standard essential patent (SEP) is a patentthat cannot be avoided when complying with the standard. The extant studies on the SEP
have concentrated on optimal patent application timing or filing patterns. In this study, we
have examined standard dynamics concentrating on international standards and the SEP’s
characteristics, as well as its implications for firms with regard to a cycle of technology
acceptance - standard development - intellectual property protection. We conducted survival
analysis to analyze the standardization flow using data including IEC standards, IECEEadopted standards and standards including SEPs. The results showed a difference between
IEC-adopted standards and standards including SEPs regarding the occurrence of a standard
revision. Such results highlighted the importance of standardization for firms’ technology
procurement and standardization strategies through IEC standard dynamics concerning thetechnology acceptance and SEPs.

TE-10 Information Management-3
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Milo IV
Chair(s) Rainer P Hasenauer; WU-Wien
TE-10.1 [A] The Influence of Social Percolation in Improving Fundraising
Strategies of Charity Organizations
Emi Trepci; WU Wien, Albania
Rainer P Hasenauer; WU-Wien, Austria
This paper aims to take a deeper look into the influence that social network factors,
specifically word of mouth, have on donations decisions. It assumes that people tend to
take donation decisions more often when there is some “social pressure” towards them,rather that when they are faced with the same case that requires donation, but privately. The
whole study is going to be conducted in the focus of the social percolation theory. A survey
is conducted to test the hypothesis. The group participating in the study is presented with a
specific case which requires donation. In addition to the statistical analysis, two computer
simulated models describing the percolation also took place. This study is expected to beof help, based on an innovative technology, to all the donations initiators including private
and public charity institutions. The percolation perspective will give them indicationsin improving the procedure, convincing people donate. Furthermore, the simulation tool
offers early (weak) signals if the donation theme will percolate through the special interest
community by exceeding the probability threshold.
TE-10.2 [R] Analysis on Text of WeChat Official Account Based on Topic
Model
Haodong Zhang; China Association Science and Technology, China
Hong Wu; China Association Science and Technology, China
Shuo Xu; Beijing University of Technology, China
Zheng Wang; China’s Ministry of Science and Technology, China
Shengmei Du; ISTIC, China
Hui Luo; China Association Science and Technology, China
Rui Chen; China Association Science and Technology, China
Ning Zhang; China Association Science and Technology, China
Like Facebook, Twitter and Whatsapp, WeChat is also a famous mobile instant messaging
product with over 980 million active accounts, which supports voice, video, pictures, text
messages and payment. China’s Ministry of Science and Technology has applied social
media to science and technology management. Rui Ke Ji and Rui Dong Ruan are two of theofficial accounts in the WeChat matrix of China’s Ministry of Science and Technology. Rui
Ke Ji is run by the General Office and Rui Dong Ruan is mainly for Department of Resource
Allocation and Management. In this research, an approach is established to processing textsof Rui Ke Ji and Rui Dong Ruan with an author-topic model. The experimental result indicateswhere the ministry’s publicity lies, and there is a certain relationship between the content of
the articles and the page views on WeChat. By comparing the view counts of Rui Ke Ji and
Rui Dong Ruan at the same time, we can find what Chinese scientists and technicians aremost concerned about, which can help to improve the science and technology publicity.
TE-11 Technology Diffusion
Tuesday, 8/21/2018, 16:00 - 17:30
Room: Milo V
Chair(s) Yasunobu Ito; JAIST
TE-11.1 [R] Understanding the Diffusion of the Blockchain Technology: A
Patent-based Analysis Using the tf-lag-idf for Term Novelty Evaluation
Bennet Bruens; University of Bremen, Germany
Martin G Moehrle; University of Bremen, Germany
Blockchain technology seems to be an important driver in several application fields. It
is already being used in the financial industry (where it has led to “Bitcoins” and other

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

83Sessionselectronic currencies), but it may also influence the logistics industry (e.g., enabling unique
identifier for components), the service industry (as a replacement for personal identifiers),
and others. It is based on the replication of information at several distributed locations. To
obtain a better understanding of how blockchain technology has diffused and will continue todiffuse, we carry out a patent analysis. In particular, after compiling a patent set concerning
this technology, we classify the respective patents by means of a keyword list. This method
helps us identify claims, which deal with business processes (in contrast to manufacturing
processes). We extract novel concepts from these claims over the course of time on the basisof informetric measures (tf-lag-idf). The analysis reveals a sequence of broad application
fields of blockchain technology, however, only few industry-specific ones. This indicatesthat managers should evaluate the hype, which presently surrounds block chain technology
with great caution. So far, the expectations and potentials discussed in the current literatureand media are hardly reflected by patent data. However, the strong increase over recent years
should inspire managers from application fields that are not yet at the center of patenting
activity to develop related inventions and apply for patents quickly.
TE-11.2 [R] How Ethnography Infiltrated the Japanese Business Scene: A
Case StudyYasunobu ITO; JAIST, Japan
This paper explores how ethnography, the chief methodology of social/cultural anthropology,
was introduced to, and spread through, the Japanese business scene in the decade following
2000. The way ethnography was introduced to the business community is rather convoluted
and far from straightforward. (1) The explanations of ex-managers of companies that werefirst to adopt ethnography, described as “early adopters”, were really only focused on
business issues. (2) Researchers value academic networks, and they assert that ethnography
entered Japan though endogenous developments in academia. (3) Recognizing this trend,
the mass media sought other examples from various companies that they then reported on.
These were companies that were doing consumer research and work in the field. These
companies, described as “followers”, did not know the English term “ethnography”, but
recognized the trend through being reported on and proceeded to employ this in the PR.
One could see this as a “feedback loop” between mass media and firms’ business affairs. The
implication of the discussion here could also be seen as an example of how business trends
are formed and take hold.
TE-11.3 [R] The Time Delay of Patent License in China
Deming Lin; Dalian University of Technology, China
Lulu Chen; Dalian University of Technology, China
Patent licensing contracts registered in SIPO are used as the sample to study the distributionof years, licensing modes, region, and discuss the characteristics of assignor and assignee.
Furthermore, the time delay of patent licensing is also analyzed. The results show that mostof the licensed patents are individual, international licensing is less, the patent licensing hasdelay, and more than 90% of patents are licensed six years after application.

WA-00 PLENARY - 3
DATE:
WEDNESDAY, 8/22/2018
TIME:
08:30 - 10:00
ROOM:
KONA MOKU BALLROOMCHAIR:	KIYOSHI NIWA; THE UNIVERSITY OF
TOKYO

WA-00.2 [K]Sustainable Environments and Technological Entrepreneurshipin Small Island Development States (SIDS)
Pliny Fisk III; CMPBS and Texas A&M University, United States
ARK (adaptation, resilience, knowledge) is a ‘think and do’ collaboration of academic,
business, and non-profit entities formed to foster sustainable economic development
while protecting marine and terrestrial environmental diversity of SIDS worldwide given
challenges of escalating climate change (CC). The current focus is on Belize and the
Caribbean to develop transformative activities and models for CC mitigation and adaptation
through two main projects for capacity-building and sustainable regional development.
Project #1 is to build an Interactive Working Atlas (IWA) that provides comprehensive
baseline environmental assessment data to monitor and evaluate CC along mountain to reefriver corridors. Project #2 is to construct a state-of-the-art Ecology (Eco) Research Park
that includes an Eco Research and Testing (ERT) Lab and Eco Business Incubator (EBI) tofoster regional entrepreneurship and economic development. Both projects involve regional
government, business, and academic participants to establish best practices for Caribbeanwide dissemination through the Open Campus of the University of West Indies. Given the
recent and looming hurricane threat, The Center for Maximum Potential Building Systems(CMPBS) in now most concerned with related LandARK and SeaArk initiatives. The focus ison “resilient off-grid construction” using regional resources and material, entrepreneurial
talent, and innovative building technologies and methods. LandARK construction includes
economically conceived mitigation modules or “PODs” that are implemented as publicly
accessible hurricane resistant safe housing. SeaARK is a related sea-based reef research/
ecotourism facility that incorporates repurposed submersible (floating) oil rig platforms. A
resulting pyramid shaped POD-City creates an ecotourism as a reef habitat. This temporarily
submersible and self-propelled movable structure constantly adjusts for water temperatureand light and water quality to become a satellite directed sustainable floating reef city. The
LandARK and SEAark projects and innovative practices are meant to inspire regionallybased ecosystems for sustainable value-added technology-based entrepreneurship anddevelopment.
WB-01 Innovation Management-6
Wednesday, 8/22/2018, 10:30 - 12:00
Room: Kona Moku Salon A
Chair(s) Masaharu Tsujimoto; Tokyo Institute of Technology
WB-01.1 [R] Applying the Technical Results and Experience from
Unsuccessful Projects in New Projects: Kuraray and the Innovation of
Nylon 9T
Mitsuteru Mutsuda; Hitotsubashi University, Japan

WA-00.1 [K]Invention to Innovation: The Role of Scientist Entrepreneurs
Elicia Maine; Simon Fraser University, Canada
The importance of university spin-offs in the commercialization of highly uncertain, earlystage scientific inventions is increasing. While there is a growing body of literature on

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academic entrepreneurship, not much is known about the role of star scientists in university
spin-off emergence. We argue that replicable entrepreneurial capabilities developed byscientist entrepreneurs can translate inventions from the scientists’ lab into well-resourced
university spin-offs. We inductively develop a model of the key role played by a starscientist entrepreneur in four interdependent entrepreneurial capabilities: technology-market
matching, claiming and protecting the invention, assembling the founding team, and thestrategic timing of firm formation. We compare and contrast 30 science-based university
spinoffs - controlling for star scientist entrepreneur - to provide evidence suggestingthat these entrepreneurial capabilities contribute to success. From this analysis, we draw
recommendations for scientist-entrepreneurs, university leadership, and innovation
policymakers.

One of the big challenge of innovation management is how to manage the contingencies
and uncertainties. Actually, it is impossible to obviate any contingencies and uncertainties
from an innovation process. One of the solutions could be applying technical results andexperiences from unsuccessful projects to new projects. Genestar is a kind of “aromatic
nylon = high heat resistance nylon” and the start of the business was 1999. Although thedemand for “high heat resistance nylon” was increasing at that time, Dupont (= Nylon 6T,

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions1994), Solvay (= Nylon 6T, 1991), Mitsui Chemical (= Nylon 6T, 1989) and Mitsubishi Gas
Chemical (= Nylon MXD6, 1983) had already started the business five to ten years earlier.
In addition, Kuraray had not had any engineering plastics business at that time, i.e., Kuraray
was a newcomer in both the technical area and business area. Under the difficult situation,
Genestar has been very successful; the business reached to 14,000 tons in 2017. This paper
picks up Kuraray’s Genestar (Nylon 9T) as the example and it discusses about how Kuraraymade Genestar succeed by applying technical results and experiences from two withdrawn,
terminated projects, (a) Polybutylene terephthalate (PBT) project and (b) nonan diamine project, which are based on different technical areas.
WB-01.2 [R] From Technology Transfer to Disruptive Innovation: The Case of
EMBRAER
Marcelo A Machado; Kwantlen Polytechnic University, Canada
Kazuo Hatakeyama; Entrepreneur/Consultant, Brazil
The aircraft industry is a high-tech market with very high barriers to entry. Particularly considering the commercial aircraft market, only a handful of competitors account for most of themarket share. Amongst this select group, Embraer is the only one from the developing world.
This paper proposes Embraer’s approach to innovation as a major factor for the company’s
global success. As part of a country-wide strategy, Embraer has for decades systematically
employed technology transfer to build R&D capabilities. More recently, Embraer identified agap in the market for larger regional jets and in collaborating with risk partners has launcheda very competitive product line, considered an example of disruptive innovation. The regional
jet market has recently received a lot of attention with the launch of Bombardier’s C-Series. In
this context, this paper attempts to validate its claims about Embraer by triangulating, primaryand secondary sources of information, describing Embraer’s trajectory and current positionin the market. From Embraer’s case, practical and conceptual implications are proposed. Additionally, limitations and opportunities for future research are also discussed.
WB-01.3 [R] Success Factors to Improve the Life Cycle of Information andCommunication Technology Start-ups in Brazil
Joao Henrique S Pereira; University of Sao Paulo & University of Uberlandia, Brazil
Jose Eduardo F Lopes; University of Uberlandia, Brazil
Geciane S Porto; University of Sao Paulo, Brazil
This research aims to identify the success factors of Brazilian ICT start-ups and to contribute toimprove the life cycle of these companies. For this, a survey was done with 174 Brazilian techcompanies. The results identified the association of the success variables “company size inrevenues” and “dimension of the customers base” with the firms’ characteristics and present
the ones with more impact for each of these two success parameters. The characteristics
analyzed were: establishment of partnerships with actors of the innovation ecosystem, fonts
to finance the research and development by subsidies, reimbursable fundraising, availabilityof risk capital, use of methods to develop projects or interact with the market, managementof functional areas, human resources model for employee selection, company’s vision of
success, level of innovation in products and services and the aspects of the founders as
experience, school level, copartners number and founder’s dedication. The analysis used the
SPSS statistical software. The tests applied were: Test t and Pearson’s Chi-square. It is hopedthat the findings of this research can contribute to better understand and develop this sector
in Brazil with positive impacts for the future of the economy of this country.
WB-02 Entrepreneurship/ Intrapreneurship-5
Wednesday, 8/22/2018, 10:30 - 12:00
Room: Kona Moku Salon B
Chair(s) Takashi Iwamoto; Keio University
WB-02.1 [R] Revitalizing the Yamuna River: Social Entrepreneurship
Approaches
Bala Mulloth; University of Virginia, United States
Bharat Rao; New York University Tandon School of Engineering, United States

New Delhi, India’s capital city, with a population of almost 22 million faces a daunting
challenge: Its sacred river, the Yamuna, is one of the most polluted in the world. In fact, within
the city limits, the Yamuna is primarily constituted by treated and untreated sewage and othertoxic effluents. The water is rendered “dead” with zero oxygen, thus posing serious healthhazards to the citizens of New Delhi. Might there be a way to cleanup and revitalize the riverplain using social entrepreneurial approaches? In this paper, we propose to study the key
ingredients required for creating and nurturing a social entreprenurship and innovation based
ecosystem in the region. The methodology employed is qualitative in nature and draws on
evidence based on interpretative interviews as well as direct and indirect observations. Using
case examples of five socially driven ventures in the region, we examine how they impact the
local community in a manner that opens up new frontiers for positive social change. In doing
so, these social entrepreneurs create value by introducing technology innovations that solve
problems, while creating new opportunities for organizations and communities involved with
the Yamuna river cleanup efforts.
WB-02.2 [R] Evaluation of Factors That Hinder Technology and Engineering
Entrepreneurs in the Mining Sector
Bobby Mahlori; University of Pretoria, South Africa
Elma Van der Lingen; University of Pretoria, South Africa
Most South African entrepreneurs face obstacles that hinder them from successfully
providing technological and engineering solutions to the mining industry. This research wasdone to establish what factors encourage the development of technology and engineering
small, medium, and micro-enterprises (SMMEs) in the South African mining industry, and to
identify obstacles faced by South African entrepreneurs in the mining industry. The researchalso evaluates programs that are run by the South African government and the private sector
to support SMMEs, and to make recommendations about overcoming the obstacles faced by
SMMEs in the South African mining industry. The study supported some of the personality
characteristics, such as risk-taking, leadership, and motivation that are found to have amajor influence on the success of technology and engineering entrepreneurs (TEEs). The
obstacles identified as hindering the success of SMMEs created by TEEs are, among others,
lack of finance, crime, and cultural differences. Government and the private sector could
play a bigger role in supporting TEEs through policies and regulations, and by providing
training and development initiatives. This research aims to help prospective entrepreneurs
and organizations (for instance, mining houses) that intend to assist small businesses orentrepreneurs who want to succeed in starting technology and engineering businesses.
The research could also be useful to public and private-sector entities that are involved in
SMMEs.
WB-02.3 [R] Saudi Female Entrepreneurs, Situation and Challenges
Hemaid Alsulami; King Abdulaziz University, Saudi Arabia
Rimal Abu Taha; King Abdulaziz University, Saudi Arabia
The entrepreneurship concept has spread between Saudi youths instead of employment in
the public or private sectors. In the last decade, small and medium enterprises (SMEs) in
the Saudi market were occupied by non-Saudis, especially in the major cities. Therefore,
the government, with the cooperation of the private sector, has established programs andinitiatives to support young Saudis to open their own businesses and become entrepreneurs.
The vision of Saudi Arabia 2030 has set a goal to increase the contribution of the SMEs tothe economy. One key performance indicator of the vision is to increase the contribution ofentrepreneurs from 20% to 35% by 2030 with a focus on supporting female employment
and empowerment. This paper employed survey research to assess the current situation of
female entrepreneurs in Saudi Arabia. The study revealed that most female Saudi entrepreneurs own small home-operated businesses. Financial funding and unawareness of supportive programs were found to be the main obstacles that are currently facing the developmentof female entrepreneurs in the Saudi market. The research concluded with recommendations
which are believed can help to overcome the obstacles females are facing in establishing andrunning a business.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

85

Sessions
WB-04 Internet of Things (IoT)
Wednesday, 8/22/2018, 10:30 - 12:00
Room: Waikiki Salon 1
Chair(s) Steven T Walsh; University of New Mexico

the research findings show how important a systematic approach is in turning use phase data
into value. Workshops with the company allowed the researchers to evaluate the processmodel and the methods which were developed. Future research should support companies indeveloping a monetization concept.

WB-04.1 [R] Transforming Value Chains into Internet-based Ecosystems: A
Testbed Approach

WB-04.4 [R] Emerging Markets and the IoT

Patrick Weber; Ferdinand-Steinbeis-Institute, Germany
Dominik Morar; University of Stuttgart, Germany
Heiner Lasi; Ferdinand-Steinbeis-Institute, Germany
The Internet of Things (IoT) enables the integration of distributed systems and actors, whichfurthermore initiates the transformation of traditional value adding chains into Internet-based
ecosystems. Therefore, cooperation between actors from different domains is crucial. The
essential characteristics of these ecosystems are cooperative value proposition as well as
fragmentation of individual service components. The cooperative value proposition describes
the common business goal, which the cooperation is based on. Today’s enterprises needto cope with this transformation and therefore need an answer to the following question:
How can traditional value adding chains be transformed successfully into Internet-based
ecosystems? The testbed approach, which is presented in this paper, evolved from theexperiences of six testbed workshops as well as a group discussion. Based on establishedconcepts from the literature and the experiences of the six testbeds, a framework forgenerating a value proposition in Internet-based ecosystems was developed. In conclusion,
the testbed approach supports a successful transformation into Internet-based ecosystems.
WB-04.2 [R] An International Comparative Study of Internet of Things
Technologies Using Keywords Extracted from Newspapers
Masatake Saito; Chuo University, Japan
Currently, a large amount of news and articles related to the Internet of Things (IoT)
is circulating worldwide along with information about Industry 4.0-related technicaldevelopments. In 2011, the German government even adopted “Industrie 4.0” as its national
strategy to improve its global competitiveness. This study compares data from four countries:
United States, Germany, China, and Japan. The author performs clustering by the weight ofgroup after extracting IoT-related keywords that have appeared in newspapers. It was seenthat the United States focuses on the Internet/data processing technologies, and Germany
focuses on the production/M2M (machine to machine) technologies. However, Japan and
China lacked such focus.
WB-04.3 [A] Development of a Use Phase Data Strategy for Connected
Products: A Case Study in Industry
Julian Wilberg; Technical University of Munich, Germany
Tobias Kalla; Technical University of Munich, Germany
Manuel Fetscher; Technical University of Munich, Germany
Franz Rimbock; Wacker Neuson Vertrieb Europa GmbH, Germany
Christoph Hollauer; Technical University of Munich, Germany
Mayada Omer; Technical University of Munich, Germany
More and more products contain components for connectivity and this trend is often called
the “Internet of Things” (IoT). Connected products affect competition and lead to novel
opportunities to provide data-centered business models, gain insights into products’ usage,
or offer data-driven services. In general, a broad range of possible IoT use cases exists.
However, having connected products is not a guarantee for success because companies
struggle to derive a data strategy that defines which data is needed for selected use cases.
Therefore, the researchers conducted a year-long case study together with an industry partner
in order to better understand the opportunities that connected products provide and the
obstacles that arise. The case study followed a process model that guides companies throughthe development of a use phase data strategy. Based on the insights gained during the casestudy, three additional methods supporting the strategy development were derived. Overall,

86

Yorgos Marinakis; University of New Mexico, Netherlands
Inder Thukral; Boston Analytics, United States
Makarand Pandey; Boston Analytics, United States
Jorge Hernandez; Sandia National Laboratories, United States
Aard Groen; Groningen University, Netherlands
Steven T Walsh; University of New Mexico, United States
Emerging market economies rarely lead the commercialization of emerging technologies.
This was understandable when emerging technologies were based on costly physicalproduct technologies that produced products like airplanes, automobiles and more recently
semiconductors and MEMS devices. Yet we are now in the information- or knowledge
economy-based Schumpeterian cycle where exceptional infrastructure cost no longer
applies. Emerging markets today have in many cases both the technological expertise andthe infrastructure capital to embrace at least the IoT emerging service product technology
base. If this is so, then what are the business models that are appropriate for emerging
markets? Our research focuses on adding to the literature by investigating the differences
between physical product-based and service product-based emerging technology adoptionin emerging markets. We construct and demonstrate a comprehensive policy-based tool forthe review of IoT-based (i.e., Software as a Service-based) opportunities.
WB-05 Intellectual Property-3
Wednesday, 8/22/2018, 10:30 - 12:00
Room: Waikiki Salon 2
Chair(s) Hung-Chun Huang, National Chi Nan University
WB-05.1 [R] Analyzing Patent Transactions with Patent-based Measures
Hung-Chun Huang; National Chi Nan University, Taiwan
Hsin-Ning Su; National Chung Hsing University, Taiwan
Hsin-Yu Shih; National Chi Nan University, Taiwan
Patent analysis has long been involved in economic studies of innovation and technology,
demonstrating the value of patents as highly valuable assets. Thus, the systematic
examination of patent transactions should be a priority concern in research. The aim of thisstudy is to explore how patent-based indicators inform patent transaction probability, as
well as patent transaction speed. A total of 58,768 TFT-LCD patents between 1976 and 2012were analyzed. The results show patent-base indicators demonstrate four value segments,
which affect transaction likelihood and duration. Adequately weighting these segments
can strategize transactional advantage. This study provides insights into patent transaction
factors, and addresses management implications for firms or authorities who are interested
in acquiring market advantages.
WB-05.2 [R] Research and Development Situation Analysis of Anti-breast
Cancer Drugs from Patent Intelligence Perspective
Wei He; Huazhong University of Science and Technology, China
Xiang Yu; Huazhong University of Science and Technology, China
Minghan Sun; Huazhong University of Science and Technology, China
The current incidence of breast cancer has increased dramatically, becoming the highest rateof cancer in women. The mortality of it ranked second. However, the process of researchingand developing new drugs against breast cancer is extremely long and risky. In this paper, themining of information from the patents provides important technical support for the relevant
research institutions and pharmaceutical enterprises. Based on the “Derwent Innovations
Index” (DII) database, this article studies the current situation and development trend of theNote: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsresearch on anti-breast cancer drugs from the aspects of patent applications, patent lifecycle,
patent technology field, network density, degree centrality, structural holes, research theme
and research frontier using the methods of patent bibliometrics analysis, social network
analysis and term co-occurrence analysis. The results show that there are 22,102 patentapplications of anti-breast cancer drugs in the global scope, which is in a stable technology
development period in recent years. The number of patent applications in the United States
and China is in the absolute leading position. The field of patent technology focuses on
the study of anti-tumor activity and its pharmaceutical dosage forms. Research themes
mainly involved in the gene expression of breast cancer, pharmaceutical preparations, drug
combinations, malignancies, angiogenesis inhibitors, immune responses, small-moleculetargeted anti-tumor drugs design, drug-protein binding, and mechanism of drug action.
Meanwhile, delaying progression, drug combinations, antagonists, vaccine research andtyrosine kinase inhibitor are the development trend of anti-breast cancer drugs research.
However, the patent technology of anti-breast cancer drugs in our country is mainly in thehands of universities and institutes, and it is suggested to strengthen the combination ofresearch and development to realize the industrialization of anti-breast cancer drugs.
WB-06 R&D Management-2
Wednesday, 8/22/2018, 10:30 - 12:00
Room: Waikiki Salon 3
Chair(s) Naoshi Uchihira; Japan Advanced Institute of Science andTechnology
WB-06.1 [R] A Management Model for Making Full Use of Personal Ability in
Offshore R&D
Yang Wang; Japan Advanced Institute of Science and Technology, Japan
Naoshi Uchihira; Japan Advanced Institute of Science and Technology, Japan
Yasushi Ogawa; Ricoh.co.Ltd, Japan
Offshore R&D in developing countries such as China and India has increased in recent
years. Meanwhile, because of the high uncertainty in offshore R&D, it’s necessary tochange research strategy and research contents dynamically depending on the situation oftechnology development and the status of the external environment. For this reason, themore research elements that are in the offshore R&D project, the personal ability of overseas
developers will be more important. In other words, to improve the efficiency of offshore R&D,
the management method which can overcome the problems of cross-cultural communicationis required, and the management method that can fully use the personal ability of overseas
developers is also required. Then, according to the progress toward integration of the homecountry team and overseas team in offshore R&D, we proposed a management model tomanage home country developers and overseas developers as one same global team without
the boundary for drawing out the personal ability of overseas developers. In order to makesure that the proposed management model can function well, a bridge manager is required tocarry out three important roles to make sure that the home country and overseas can function
as one team.
WB-06.2 [R] How Do Influences of Funding and Funded Organizations Affect
Performance of Publicly-Supported Private R&D Projects?
Yaichi Aoshima; Hitotsubashi University, Japan
Kazunari Matsushima; The Universty of Tokushima, Japan
Naoki Takada; Hitotsubashi University, Japan
This paper explores the factors leading to the success of publicly-funded private R&D
projects by analyzing survey data obtained from 506 projects supported by NEDO (New
Energy and Industrial Technology Development Organization), Japan’s public fundingorganization under Ministry of Economy, Trade and Industry (METI). We examined how
involvement of both the funded firm and the funding organization in the project affects the
project’s commercialization performance. Our analyses showed that the project with higher
strategic importance and stronger executive involvement was beneficial since it enabled
the project to effectively leverage the company’s internal resources. On the other hand,the funding organization’s involvement had positive effects on performance only when thecompany showed low commitment to and weak involvement in the project; it had no or
negative effect on performance with higher commitment and involvement from the company
side. Our findings suggest that the success or failure of the publicly-funded private R&D
is greatly related to the strategic position of the project within the company. This implies
that assessing the company’s in-house factors in addition to the potential of a technology
is important in selecting funding projects, and that the funding organization should find an
appropriate way of managing the project depending on project’s strategic position.
WB-06.3 [R] Study on Cooperation Dynamic of Multi-enterprise GenericTechnology R&D
Yuelong Zheng; Chongqing Technology and Business University, China
Lin Wang; Chongqing Technology and Business University, China
Zhongyi Huang; Chongqing Technology and Business University, China
Zhengzheng Leng; Chongqing College of Finance and Economic, China
Lixin Zhou; Chongqing Technology and Business University, China
Based on N-person evolutionary snowdrift games and public goods games model, this paperbuilds a game model of generic technology cooperative R&D with multi-enterprise underwell-mixed population, and analyzes the affecting factors and evolution dynamic of multienterprise cooperation R&D. The results show that the cooperation and non-cooperationenterprise coexistence is the evolution equilibrium state of a generic technology cooperation
R&D system. The equilibrium state increases with the increase of industrial scale and thedecrease of benefit-cost ratio. Induced cost, which become the main decision-making
variables whether or not the enterprise chooses cooperation R&D, can offset the inhibition
effect of industry scale on generic technology cooperation R&D. Lower waiting cost motivates
enterprises to choose generic technology cooperation R&D strategy. The increase of external
support, the difficulty of generic technology imitated, the increase of enterprises decisionmakings’ correctness, and the decrease of transaction costs exert positive influence on theemergence of generic technology cooperation R&D behavior. The evolution of a generictechnology R&D system is more sensitive to external support and the difficulty of generictechnology imitated.
WB-08 Science & Technology Policy-2
Wednesday, 8/22/2018, 10:30 - 12:00
Room: Milo II
Chair(s) Yuanxi Huang; China Association for Science and Technology
WB-08.1 [R] The Influence of Research Infrastructure for Technological
Entrepreneurship
Lili Qiao; National Academy of Innovation Strategy, CAST, China
Zheng Li; National Academy of Innovation Strategy, CAST, China
Yuanying Gao; National Academy of Innovation Strategy, CAST, China
Hui Luo; National Academy of Innovation Strategy, CAST, China
Yunyan Shi; National Academy of Innovation Strategy, CAST, China
Research infrastructures (RIs) are expected to play an important role in the developmentof scientific activities in China and the construction of China’s national scientific systems.
However, few studies have been devoted to the systematic evaluation of the technologicalentrepreneurship (TE) effects of China’s RIs. This paper attempts to fill this gap by designinga comprehensive analytical framework composed of the two stages and different function typeof RIs. The analysis is implemented based on a novel sample composed of four of China’s
typical RIs. More specifically, this paper classified these four Chinese RIs into the following
two types according to their functions: dedicated research infrastructure, public experimental
platform. Furthermore, this paper analyzes the features of the TE promotion effects ofthese RIs in construction and operation stages. There are three influence mechanisms, as
technology source, the center of innovation resource attraction and technology service. This
paper not only contributes to developing an analytical framework for evaluating the functions
and TE promotive effects of large RIs but also presents evidence regarding the development

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

87Sessionsof RIs in emerging countries.
WB-08.2 [R] Policy of Government Procurement Promoting Scientific andTechnological Innovation in China: Institutional Structure and International
Comparison
Xiaoli Wang; Beijing Institute of Technology, China
Yun Liu; Beijing Institute of Technology, China
Bingxiu Gui; Beijing Institute of Technology, China
Meijian Yang; Beijing Institue of Technology, China
Yajie Xu; Beijing Institue of Technology, China
Jia-xin Chen; Beijing Institute of Technology, China

WB-08.3 [R] What Influenced the S&TI Talents’ Development in China: A
Perspective View of the Candidates’ in a Young S&TI Talents Rewarding
ProgramLei Shi; National Academy of Innovation Strategy, CAST, China
Hui Luo; National Academy of Innovation Strategy, CAST, China
Guang Yang; National Academy of Innovation Strategy, CAST, China
Jing Bai; Harbin Engineering University, China
In the worldwide trend of “innovation first” and “innovation-driven,” the question of how
to cultivate innovative talents attracts even more attention. The science technology andinnovation (STI) talents are regarded as the potential competitiveness of a nation, thus
fostering an advantageous environment for the STI talents is not only a family expectation but
also a national concern. Decades ago China began to launch numerous STI talent supporting
programs, contests or rewards. Awarding Program for Future Scientists as one of them wasembarked on in 2001, co-sponsored by China Ministry of Education, China Associationfor Science and Technology, and HS Chau Foundation, etc., for the purpose of cultivating
children’s innovative mindset, inspiring their interest in science, and encouraging their
devotion to a S&T career. Through the assessment project of the 16th Awarding Program for
Future Scientists (APFS) in 2016, the paper observes the application materials of the finalists
for the APFS, and forms an analytical framework concerning the STI talents developmenton the basis of existing literature. With the methodology of text analysis, the major factors
impacting the development of the talents are ranked, which are wide interest/hobbies andchallenging experience, parental educational and career background, school teachers, theregional innovative environment, instructors and family atmosphere. This research study
further verifies the research framework on the influential ingredients exerting some influenceon the development of STI practices, opens a window to observe the potential STI talents
development, and provides suggestions for STI talents cultivation.

88

WB-09.1 [A] Research on the Shooting Techniques for Online Interactive
Video Production and Audience Understandings of Popular Science News
FeatureMavis Tsai; Shih Hsin University, Taiwan
YiSong Chen; Shih Hsin University, Taiwan

In many countries of the world, government procurement is a powerful tool for reflecting
national strategic intentions and promoting scientific and technological innovation. Basedon the perspective of the institutional structure and the method of policy for bibliometrics,
we analyzed Chinese policies of government procurement to promote scientific andtechnological innovation, revealed the policymaking characteristics, and concluded that
the Ministry of Finance should appropriately decentralize the policymaking work to otherrelevant departments of the State Council. This paper compares the main policy tools fromfive dimensions among China and other typical countries, such as the United States, theUnited Kingdom, Japan, Germany, France, and so on. There are five aspects, which include
establishing the database for vendors of micro, small, and medium enterprises; developing
the grade system and the post evaluation system; formulating detailed implementation
methods of innovative products and services; carrying out classification management
for imported products; and setting mandatory insurances. In general, for the policies ofgovernment procurement to promote scientific and technological innovation, this paper
provides an effective reference for organizing the agencies and formulating the detailed
measures. The research framework of this paper could be applied to analyze other policies.

WB-09 Science and Technology Communication-1
Wednesday, 8/22/2018, 10:30 - 12:00

Room: Milo III
Chair(s) Li He; China Research Inst. for Science Popularization

Science is an important part of human life. To communicate environmental information
adequately and effectively, the mass media need to provide suitable information and channels
so the community can acquire new information, and thus generate innovations. In addition,
new media have become quite important and convenient to a new generation. The purpose ofthis study is to investigate ways to shoot and produce an interactive short film for new media
regarding popular environmentally-important issues that will increase audience learningand involvement. The researchers chose to use as a sample topic an environmental news
feature issue: ways microplastics spell big problems for future generations. This application
paper indicates methods of producing an interactive popular science video step-by-step,and especially focus on shooting methods, one of the most important parts for producing
short films. Having produced an interactive short film, the researchers launched two focus
group interviews of 12 audience members to discuss their perceptions and understandingof this short film. This study aims to compare their interests, perception and understanding
regarding this popular science short film against the skills involved in video shooting andproduction to gain insight into the factors which affected audience understanding of the film.
WB-09.2 [A] Science and Technology Innovation Team Engagement with
Popular Science: Model and Implementation
Xuan Liu; National Academy of Innovation Strategy, CAST, China
Yan Li; National Academy of Innovation Strategy, China
Hongwei Wang; National Academy of Innovation Strategy, China
Weiyu Yang; National Academy of Innovation Strategy, China
A complete science communication work is a communication chain that involves different
subjects of communication. There are differences in the mode and path of different science
communication guidance. In this study, case study is used to sort out and analyze thescience popularization work carried out by the State Key Laboratories, and to explore theirsynergistic relationship and transformation paths. The research shows that the current modelof scientific research teams participating in science popularization is shifting from task-based
passive communication to responsibility-based active communication. Meanwhile, due tothe significant differences in the core values, cost structure, collaborative subject and IT
application of the scientific research teams, it is possible to adopt the reconstructed science
popularization transformation path and the progressive popular science transformation pathin the process of transformation. The research results provide a clear model and reference
for the government to guide scientific research teams in conducting science popularization
works in an orderly manner.
WB-09.3 [R] The Application Prospect Analysis of Technology Based on
WeChat Official Accounts
Feifei Wu; Beijing University of Technology, China
Yiming Tong; Beijing University of Technology, China
Lucheng Huang; Beijing University of Technology, China
Hong Miao; Beijing University of Technology, China
Xin Li; Beijing University of Technology, China
Through determining the choice of the social media(WeChat) adhere to the criteria of theWCI, the WeChat Official Accounts which contain professional technical background andknowledge transmission target can be filtered as the research objects in the paper. The
purpose of this paper is to finish the topic analysis of the information in the WeChat Official
Accounts via the method of text mining, along with the support of regarding the push
notifications in the WeChat Official Accounts as the data set.Combined with the judgement of

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionssocial cognition based on diverse topics, the conclusion of application prospect analysis oftechnology will be verified with the trial of the topic model and sentiment analysis. Finally, acase study of application prospect analysis of graphene Technology serves as the role of theempirical research in this paper.
WB-10 CompetitivenessWednesday, 8/22/2018, 10:30 - 12:00
Room: Milo IV
Chair(s) Charles Weber, Portland State University
WB-10.1 [A] 4th Industrial Revolution and Open Access Network for SmartCity
Se-Jin Park; ETRI-UST, Korea, South
Byung Woon Kim; UST / ETRI, Korea, SouthThe 4th Industrial Revolution is the result of the massive convergence of physical system andtelecommunication infrastructure. The open access network for telecommunications policy
has become more important than ever due to the appearance of cyber-physical system in the
4th Industrial Revolution. This paper, firstly, will narrow down the meaning of 4th Industrial
Revolution into smart city, one of the most representative fields of convergence of physicalsystem and telecommunications in the cities. The second part will analyze the structural
reasons for amplifying the importance of an open access network in the telecommunications
market due to the rise of the 4th Industrial Revolution. The third part will bring Japanese,
UK and Australian cases to prove the relation of open access network policy and smart city,which was discussed in first and second parts, as they adopted open access network as
their telecommunication policy to encourage the appearance of new smart city services.
This part will reveal how the separation of NTT West and East, BT and Telstra throughfunctional, legal and structural separation has brought the emergence of convergence of nontelecommunication areas with telecommunication system. In conclusion, it will emphasize
the role of open access networks in telecommunication for the telecommunication policy
maker who is deeply concerned about the accomplishment of the 4th Industrial Revolution.
WB-10.2 [A] Using Game Theory in Libyan Cellular Market
Nader N Beltaif; Portland State University, Libya
Charles Weber; Portland State University, United States
The Libyan cellular market still new, and it is primarily a competition between two major
players. Also, there are serious steps inside the Libyan Ministry of Telecommunication to
make a real competition inside the market. All those things have motivated the author towrite this paper. The author is trying to help the leading players inside the market to know
more about the best response that gave them best results. We have applied Game Theory
because it is the strategic tool that gives you the best analysis and response when you havea competition between two players. The model that we have used here is Bertrand’s model.
This model is used when two companies are competing over price. We have noticed fromour model analysis and our paper analysis that a price war might happen in this market.
Therefore, we came up with recommendations to the regulators to organize the competition.
Also, the author lists several recommendations to the operators that help them in case thatprice war happened in the market.
WB-10.3 [R] Systemic Competitiveness Factors in the Pharma Industry’s
Productivity and Innovation in Mexico
Enrique Martinez; INEFAM, Mexico
Jose C Ferreyra; INEFAM, Mexico
Jesus Zurita; Autonomous Metropolitan University (UAM), Mexico
The combination of Total Factor Productivity (TFP) and Systemic Competitiveness (SC) andFocus Groups (FG) approaches has demonstrated the existence of a structural change inthe pharmaceutical industry (PhI) in Mexico, that explains the fall in the labor productivity,
because of several conditions changes along of its activities. Over the last 20 years, there
are multiple factors that have impacted in every link of the PhI´s value chain that need tobe identified, like the inadequate implementation and practice of regulatory reforms fromthe public health macro-policies, as well as the lack of industrial meso-policies to promote
manufacturing, have induced a significant drop in its generation of gross added value
and consequently, an important loss of the Gross Domestic Product (GDP), as the TFP
methodology demonstrated. By the use of SC approach, the main factors that determine eachof the competitiveness levels were described and how they have impacted the main links of
the PhI value chain, such as R&D and production links, with severe consequences in themolecules innovation, manufacturing and employment generation. Based on the FG among
several PhI´s executives, it was possible to define the main factors that affected PhI´s value
chain, as well as confirm the TFP and SC findings, that must be used for industrial andsanitary policies that promote its economic growth and its contribution to health national
system.
WD-01 Innovation Management-7
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Kona Moku Salon A
Chair(s) Ashfaq Ahmed; Purdue University Northwest
WD-01.1 [A] Advanced Innovation Management: Best Practice of German andAmerican Corporations in the Mobility Sector
Rebecca Hirte; Daimler AG , Germany
Philip Roth; RWTH Aachen University, Germany
Many established corporations are currently seeking to adapt their business models andrequired innovation frameworks in order to compete with digital businesses based on radical
innovations and disruptive technologies. This study examines advanced approaches ofinnovation management that are applicable for a successful transformation of firms’ innovation
activities. Semi-structured qualitative expert interviews (n=19) have been conducted inGermany and the USA between March and September 2017. Results include the need tobuild up technology-driven competencies within the corporation instead of mainly relying on
external resources. In order to avoid the loss of digital talents, corporations should consider
advancing their incentive schemes by including a flexible performance measurement.
Further detected findings refer to approaches regarding the funding of innovation projects,
cooperation with partners, as well as culture and internal structures required for innovation.
Presented recommendations will help corporations to fine-tune their innovation activities bylearning from insights into various multinational firms from the mobility sector. Furthermore,this research serves as a basis for further studies that intend to broaden the understanding ofmodern innovation management in the era of digital transformation.
WD-01.2 [R] How Innovation Strategies Affect the Role of Openness under
Knowledge Spillovers?
Zhenyu Jiang; Huazhong University of Science and Technology, China
Zongjun Wang; Huazhong University of Science and Technology, China
The current study testifies to the impact of enterprises’ innovation openness on their innovative
capacity. Drawing on a dual-process model, it is suggested that enterprises with higher
openness hold a stronger innovative capacity, and knowledge spillovers play a mediatingrole between openness and innovative capacity. We further propose that firms might suffer
a decline of innovativeness provided attaching excessive importance to exploitation rather
than exploration. In order to examine our predictions, we used investigation data answeredby middle or senior managers from 205 emerging enterprises in China, and then performed
analyses by means of hierarchical regression. Consistent with the supposed framework, wefound that the effects of knowledge spillovers mediated the positive relationship between
openness and innovative capacity. In addition, exploitative strategy negatively moderated
the direct relationship between knowledge spillover effects and innovative capacity and theindirect relationship between openness and innovative capacity. Finally, the academic andpractical implications of these findings as well as future research orientations are discussed.
WD-01.3 [R] A Comparative Study of Regional Quantitative Analysis ofNote: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

89Sessions
It is worth noting that the product has an important social impact, as it is destined for patients
attended by public hospitals of the country.

China’s Science & Technology Plan Management Reform Policies
Xuanting Ye; Beijing Institute of Technology, China
Junhuan Huo; Beijing Institute of Technology, China
Defang Yang; Beijing Institute of Technology, China
Zhenwei Zhang; Beijing Institute of Technology, China
Jian Zhang; Central University of Finance and Economics, China
With the global scientific and technological revolution increasingly emerging, all majorcountries in the world are constantly adjusting or improving their strategies and policies
for technological innovation. The reform of China’s science and technology plan, especiallyabout the reform priorities, has drawn more and more attention from all countries. This paper
uses the basic methods of literature research and content analysis combined with expert
interviews to identify the policy tools and analyze related policies in the key areas (Central,
Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta), and find that on the one
hand, the policy at present emphasizes the overall environmental management of science andtechnology plans; on the other hand, these polices tend to focus on the transformation of
government functions in the overall environmental construction.
WD-02 Entrepreneurship/ Intrapreneurship-6
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Kona Moku Salon B
Chair(s) Prescott C Ensign; Wilfrid Laurier University
WD-02.1 [R] Influence of External Funding and Intellectual Property
Protection on the Success of Technological Ventures: Case study

WD-03.1 [R] Firm’s Product Innovation Strategy and Product Sales inConvergent Product Markets
Hyeokseong Lee; KAIST, Korea, South
Wonjoon Kim; KAIST, Korea, South
Although product convergence became the prevailing paradigm, our understanding islimited because of the small number of studies. We examine how a firm’s resource baseand recombinant capability affect market performance for convergent products using mobile
phone market data for the United States. We find that a firm’s resource base explains why
a firm whose resource base is related to the base product (mobile phone) achieves better
market performance for the convergent product (camera phone) than a firm whose resourcebase is for the additional product (camera). Moreover, recombinant capability - defined as
the ability to combine resources and capabilities previously distinct - is a significant factor
that enables firms whose performance previously lagged to catch up to that of the leaders in
the convergent product market.
WD-03.2 [R] The Concerns of Innovating New Product Development Process
in High Tech Companies: Evidence from Taiwan

Thabiso T Kganyago; University of Pretoria, South Africa
Elma Van der Lingen; University of Pretoria, South Africa
This research builds on recent academic research on external funding and intellectual property
protection. The objective of this research is to evaluate the influence of external funding
and intellectual property protection on the success of three South African technologicalventures. A case study method was used to collect and analyze the data. Aspiring technology
entrepreneurs and growing technological companies may use the case study results totheir advantage with regard to managing intellectual property protection and obtaining
external funding. The pecking order theory for external funding was tested and confirmed.
The research cases use patents, trade secrets and trademarks to protect their inventions;
intellectual property protection gives them competitive advantage over their rivals. Intellectual
property protection, specifically patents, had a positive influence in helping the researchcases to secure capital from government programs. It was found that external funding andintellectual property protection positively influence the success of a technological venture.
WD-02.2 [A] Medical Technology Entrepreneurship: The Case Study to
Produce Customized Prosthesis

An-Yu Chen; National Taiwan University, Taiwan
Hang Lee; National Taiwan University, Taiwan
The high-tech companies in Taiwan began to improve and innovate their new productdevelopment (NPD) process since the late 1980s. However, it is found that even if companies
desire to strategically innovate their NPD process, for some companies, it is difficult toeffectively implement it. This paper aims to explore why it is difficult in Taiwan for companies
to innovate and implement their NPD processes. We use interview and questionnaire survey
method to conduct our research. According to the result from our research, there is no
significant difference in company size and R&D team member’s educational backgroundregarding how much the R&D team member supports the innovation and improvement of
the NPD process. Aside from that, the result implies that the cost of NPD and concerns ofmulti-tasking in a cross-functional team are the major concerns for rejecting the innovationof NPD process. The study provides implications for R&D team managers to deal with theimplementation of innovating the NPD process in terms of the cost in the process and thepressure within team members.
WD-03.3 [R] Innovation on Expired Patent Medicines in the Brazilian
Pharmaceutical Industry

Walter L Mikos; Federal University of Technology of Parana, Brazil
Silvana Weber; Federal University of Technology of Parana, Brazil
Kazuo Hatakeyama; Entrepreneur Consultant Office, Brazil
The objective of this paper is to present strategies and practices adopted by the Federal
University of Technology to support technology-based emerging enterprises in thecommunity. It seeks to depict the main differential, as the insertion of emerging enterprises
to the infrastructure of research and extension, allowing to aggregate researchers according
to regional singularity and field of excellence. The methodology applied was the case study,
presenting a set of determined strategies and practices implemented to aid the developmentof emerging enterprises. The paper presents the results of the development of technologybased enterprises in the medical field, in the stage of pre-incubation, whereby the focus
is customized molds to produce prosthesis for cranioplasty applied in the surgery ofreconstruction of broken skull caps due to accidents or disease. The complexity faced by
the emerging enterprise, considering what the product developed involves, apart from theuse of medical technology of tomography, images of patients, to model 3D of prosthesis andconstruction of mold by additive manufacturing, must comply with legal and medical ethics.

90

WD-03 New Product Development-3
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Kona Moku Salon C
Chair(s) Antonie Jetter; Portland State University

Ricardo T Yugue; FEA/USP, Brazil
Antonio Cesar A Maximiano; FEA/USP, Brazil
Roberto Sbragia; University of Sao Paulo, Brazil
Paulo T Nascimento; FEA/USP, Brazil
A representative percentage of the medicines manufactured in Brazil is based on expired
patent drugs. As the generic drugs market is becoming more competitive and less profitable,
incremental innovation is a strategic alternative to survive long term. Our purpose was to
identify factors that influence the investment in innovation on patent-expired medicines(PEM) by pharmaceutical laboratories installed in Brazil. We also aimed to propose atheoretical model that would be helpful to understand the innovation process on PEM, main
components, influencing factors and their relationships. Data from the market were collectedby interviewing experts and executives from the pharmaceutical companies installed in Brazil.
The empirical data were analyzed in respect to the proposed theoretical model. We foundthat in order to invest in incremental innovations on expired patent drugs, it is necessary toNote: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessionsdevelop an appropriate business model to market the new product, which is quite different
from the former structure used to generic drugs. We also identified that one of the maindifficulties is related to the required professional capabilities for producing the innovations.
A case of success is presented as an example of investment in incremental innovation on
PEM in Brazil.
WD-04 Science & Technology Policy-3
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Waikiki Salon 1
Chair(s) Jili Hu; Jilin University
WD-04.1 [R] Dynamic Patterns of Knowledge Capabilities: A Comparative
Analysis among OECD and G20
Keun Hwan Kim; Korea Institute of Science & Tech. Information, Korea, SouthWe Shim; Busan Institute of S&T Evaluation and Planning, Korea, South
Young-Ho Moon; Korea Institute of Science &Tech. Information, Korea, South
Yoseob Heo; Korea Institute of Science &Tech. Information, Korea, South
Jong Seok Kang; Korea Institute of Science &Tech. Information, Korea, SouthThis article made a fresh attempt to deduce a consensus on the definition of knowledge per
se and valid measurements for it, thereby providing a better understanding of the advanced
knowledge-based economy. By reviewing the literature, we identified that the conceptual
approach to the phenomenon of technology convergence was identical to that of knowledge
evolution. With two dimensions - persistence and diversity - the dynamic patterns ofknowledge utilization of OECD and G20 nations are explained during 1991-2015. The results
indicate the existence of four knowledge groups characterized by markedly different degrees
of development from the technology perspective. The most highly industrialized nations
such as the United States, Germany, and Korea have maintained their knowledge utilization
capabilities at high levels. On the contrary, developing countries such as Indonesia,
Mexico, and Czech Republic have struggled to develop the depth of knowledge. The valueof suggested indicators for knowledge utilization capabilities for guiding public policy andcooperative strategy is finally discussed.
WD-04.2 [A] Influencing Factors on Social Acceptance of Autonomous
Vehicles and Policy Implications
Jihye Lee; Ewha Womans University, Korea, South
Hyungsik Chang; Samsung Electronics Co., Ltd., Korea, South
Young Il Park; Ewha Womans University, Korea, South
Autonomous vehicles are of profound worldwide interest and automotive and IT industries
related to autonomous vehicles have focused on them more intensely to commercialize.
Experts predict that autonomous vehicles will bring about widespread changes in our lives,
society, economy and culture. However, South Korea is insufficiently prepared for thesechanges. Another problem is that policies pertaining to autonomous vehicles in South Korea
seem to be biased towards suppliers. Therefore, it is necessary to analyze Korean consumers’
acceptance of autonomous vehicles. This study aims to examine what factors of autonomousvehicles affect consumers and whether they recognize the differences in levels of autonomous
driving technology. The data were collected from 459 South Koreans over 20 years of age.
According to the results of multiple regression analysis, general acceptance of autonomousvehicles was affected by usefulness, reliability and legality. PAV (partial autonomous vehicle)
acceptance was influenced by safety, anxiety, ease of driving, driver convenience, driving
education and driver’s carelessness. In contrast, FAV (full autonomous vehicle) acceptance
was influenced by safety, user convenience, and extra expenses. These results show thatfactors directly related to drivers influence PAV acceptance while external environmental
factors affect FAV acceptance. This study has some implications for governments and theautomobile industry pertaining to autonomous vehicles. Usefulness, reliability, and legality
should be considered in order to increase acceptance of autonomous vehicles. Secondly,
safety and driver/user convenience are important factors for acceptance of both of PAVs and
FAVs. Finally, due to conflicting aspects, the strategies should be different between PAVs

and FAVs.
WD-04.3 [R] Contribution to the Modeling of the Urban Space with a View toIts Development Oriented towards a Better Management and a Decongestionof Traffic in Antananarivo
Narizo Mahefa Rahaingoalison; FTM National Institute of Geography and Hydrograph,
Madagascar
Pascal Ramanantsizehena; ESPA Ecole Superieure Polytechnique d’Antananarivo,
Madagascar
Traffic jam is a main issue for Antananarivo citizens. Modeling this urban space helps bothto understand the subject and find out adequate solutions. It is a part and parcel of a research
including at least five models. One of them is the vocation-use model; this paper describes
its main characteristics. Its confusion matrix is used to check if the actual uses of the various
infrastructures match up to their vocations. Results obtained with a typical road section in thiscity assess the present K Cohen kappa coefficient value to be 0.62.
WD-05 Intellectual Property-4
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Waikiki Salon 2
Chair(s) Jing Hu; China Jiliang University
WD-05.1 [R] Analysis of Technology Convergence in Robotics andTechnological Portfolios among Robot-Related Organizations
Toshihiro Kose; The University of Tokyo, Japan
Ichiro Sakata; The University of Tokyo, Japan
Robot technology has played a significant role in the automation of manufacturingindustries and the substantial improvement of productivity over the past half century. Robots
are composed of various sophisticated technologies related to different fields such asmechanical engineering, control systems, electronics, and computer science. Under thesecircumstances, technology convergence among these fields could be one of the key factors
to drive innovation. The understanding of this innovation is crucial for industries to makedecisions whether to focus on technologies as their core competence, or to introduce themby collaborating with others. In addition, it is also critical for researchers, practitioners, andpolicy makers to assess which policies and measures should be taken. This study aims toanalyze the technology convergence in the field of robotics, and to propose an objective
methodology to evaluate the differences and characteristics of technological portfolios amongmajor robot-related organizations. This analysis, based on a citation network to patents
was made for cases where the scope of the technologies, such as the robot technologies
described in this paper, is relatively similar and it is difficult to identify the differences amongorganizations using only the International Patent Classification (IPC).
WD-05.2 [A] A Study on the Integration Innovation Mode of China Railway
High-Speed (CRH) Technology
Ling Feng; Hubei Normal University, China
Xiang Yu; Huazhong University of Science and Technology, China
This paper provides an overview of the development process and innovation mode of CRH.
Integration and the use of external technology and knowledge are important factors in the
rapid development of CRH. Comparative analysis found that the innovation mode of CRH is
considered as integrated innovation. This paper uses SECI model to explain the integration
innovation process of CRH. Knowledge flow and management are important in the integrationof CRH, and the SECI model can explain the knowledge transformation during the integration
innovation well. Based on this model, this paper analyzes integration innovation fromfour aspects: knowledge socialization, externalization, combination and internalization. In
addition, the study found that through the overall coordination and guidance of China’s highspeed rail development, the support for high-speed rail infrastructure research and corporate
R&D, the government highlighted its important role in the process of China’s high-speed
rail innovation.

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

91Sessions
Hongwei Wang; National Academy of Innovation Strategy, China

WD-05.3 [R] The Development of New Energy Vehicles Industry in China:
Opportunity and Competition
Ziyang Huang; Huazhong University of Science and Technology, China
Xiang Yu; Huazhong University of Science and Technology, China
Developing a new energy vehicles industry, an effective way to deal with environmental
pollution and the energy crisis and to achieve the sustainable development of technology
and economy, has been highly valued by all governments. As an important combination of
new energy industry and vehicles industry, its development not only represents the direction
and inevitable trend of the global vehicles industry, but also an important means for China
to realize energy savings and emissions reduction, industrial upgrading and supply-side
reform. This paper firstly analyzes the development environment of China’s vehicles industry
based on the PEST theory. Then, it uses patent search information to analyze the global
competitive landscape and China’s position in the new energy vehicles industry. Finally,
this paper concludes that China needs to increase investment in tackling problems in key
technologies and encourage cooperation, restructurings and mergers between enterprises tostrengthen the competitiveness of the new energy vehicles industry.
WD-06 R&D Management-3
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Waikiki Salon 3
Chair(s) Brent Dixon; Idaho National Laboratory

Jeong-Hyun Park; ETRI, Korea, SouthThis paper describes development technology verification and code release model thatverifies and manages development technology and code in SW development R&D project.
The proposed technology validation and code release model includes preparation andreview of documented test cases according to the requirements at the requirement definition
stage, utilization of the prepared test cases at the design and implementation stages by thedeveloper, update of the test cases, static analysis of code, open source licensing verification
methods and procedures, as well as demo and static analysis and verification of open source
licensing additions to confirm development technology by quality agents prior to transferring
the development technology to the enterprise after technology development. After validating
the development technology and applying the code release model, the developers responded
that the improvement in the development technique and the completion of the source code
is more than 10% ~ 30%.
WD-06.2 [R] Creating an Evaluation Model of Services Innovation Factorsof the Knowledge Hub: Using Hsinchu Science Park and Silicon Valley Case
Studies
James K Chen; Asia University, Taiwan
Algane Jong; Jinan University, China
The result shows that innovation performance is the most important domain factor forservice innovation of a knowledge hub (KH) by AHP and FAHP methods. Consequently,
KH becomes a cost-effective and intermediary platform for academicians and entrepreneurs
in implementation of a service innovation system. The new science park on adopting
and implementing service innovation is focused on absorptive capacity and the learning
environment to maintain regional development in the long-term. The main contribution ofthis research is an empirical investigation of key factors of service innovation of KH andcomparing the differences between Silicon Valley of the United states and Hsinchu Science
Park of Taiwan.

Ru Ma; National Academy of Innovation Strategy, China

92

WD-09 Science and Technology Communication-2
Wednesday, 8/22/2018, 14:00 - 15:30
Room: Milo III
Chair(s) Xuan Liu; China Research Inst. for Science Popularization
WD-09.1 [R] Research on the Improvement of Citizen’s Scientific Literacy
and Its Contribution to Economic Growth in Mainland China

WD-06.1 [A] Code Release Model for Technology Transfer on R&D Projects of
SW Development

WD-06.3 [R] Study of Allocative Efficiency of Scientific and Technological
Resources in Mega Cities of China

This paper employs data envelopment analysis (DEA) to study the development of allocative
efficiency of scientific and technological resources in Chinese mega cities from 2011 to 2015.
The result shows Shenzhen and Chongqing achieved the DEA-efficiency of using scientificand technological resource over the research time; Beijing and Guangzhou continuously
improved their allocative efficiency and reached the production frontier at the later stage of
research time. On the other side, Shanghai failed to realize the DEA-efficiency because of theexcessive concentration of R&D expense and R&D labor; Tianjin suffered from relatively low
allocative efficiency due to the redundancy of R&D personnel and the shortage of knowledge
output. This paper mainly contributes to systematically investigating the allocative efficiency
of scientific and technological resources in a specific city, instead of country, region, or
province as before; and greatly increasing the practical significance of study by emphasizing
the significance of each mega city in constructing China’s national innovation system in
empirical analysis.

Li He; China Research Inst. for Science Popularization, China
Based on the human capital theory and the related data from 1999 to 2015 in mainland
China, this paper uses the TFP model to analyze the relationship between the improvementof citizen’s scientific literacy and economic growth. The analysis shows that the contributionof capital investment to economic growth is the main factor. There is evidenced a significant
positive effect of citizen’s scientific literacy on the nation’s economic growth along with thesignificant effect of the improvement of the people’s physical health on economic growth. The
article also analyzes the impact of economic growth from the four aspects of the compositionof scientific literacy: scientific knowledge, scientific method, scientific attitude and therelationship between science and society. The four aspects of the formation of scientificquality have significant and different effects on economic growth.
WD-09.2 [R] Research on Assessment Index System for Science
Communication Industry Development in China
Guangbin Liu; Beijing Institute of Petro-Chemical Technology, China
Fujun Ren; China Association for Science and Technology, China
Based on the industrial development theory and by reference to assessment index systemframe of cultural industry, the assessment index system for science communication industry
development is established concerning both statistical system and characteristics of science
communication industry via a combination of qualitative and quantitative analysis. According
to the latest statistical data of China science communication industry, correlation test is
conducted for the assessment index. Then indicator screening is conducted by Delphi andstatistical methods, and the indicators with strong correlation are deleted to improve the entire
index system. The final index system includes four basic dimensions of indexes, i.e. industry
scale, industrial resources, industrial growth capability and industrial development potential,and each dimension also includes several sub-indicators. The science communicationindustry scale dimension shows the current development status of this industry, the science
communication industry resources represent the supports and motivation of the industry
development, the industrial growth capability mainly comes from financial status of theindustry, and the industrial development potential shows its development trend. By theend, more detailed explanation is given on the meaning and calculation method of all levelindexes.
WD-09.3 [R] Investigation Report of Science Popularization Capability in

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

SessionsEnterprise in Mainland China
Li He; China Research Inst. for Science Popularization, China
In order to understand the current situation of science popularization’s capability in enterprises
and determine the impact of different factors on the science popularization’s capability inenterprises, a research group in 2016 conducted interviews and questionnaires regarding
the current state of science popularization capability. A total of 177 valid questionnaires
were returned from different types of enterprises in Shanxi, Guangdong, Tianjin and Sichuan
Provinces. The survey included the status of professionals and associations in enterprises,
the status of enterprises, their science popularization facilities and their use status, corporate
science popularization activities and the size of the audience. In addition, the survey included
the relationship between the enterprises and science popularization along with the carrying out
of science popularization activities. The investment expenditure for science popularization,
its existing problems and causes, and through the data analysis, we can understand thecapability building of science popularization in the enterprises. The problems and difficulties
are found by investigation and the paper also put forward countermeasures and suggestions
for enterprise science popularization capability.

Entrepreneurship Partnership is presented for the developing economies.
WE-01.2 [R] The Technological Innovation Efficiency of China’s High-Speed
Rail Enterprises Based on DEA Approach
Xi Yang; Huazhong University of Science and Technology, China
Xiang Yu; Huazhong University of Science and Technology, China

WE-01 Innovation Management-8
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Kona Moku Salon A
Chair(s) Mitsuteru Mutsuda; Hitotsubashi University

Enterprise is the main body of technological innovation. In recent years, China’s enterprises
attach great importance to scientific and technological innovation. By using the dataenvelopment analysis (DEA) and DEA-Malmquist index analysis approach, this paper
conducts an empirical study to evaluate technological innovation efficiency of five of China’s
high-speed rail enterprises from 2012 to 2016 and confirm the main factors which influence
the technological innovation of China’s high-speed rail enterprises. The R&D expenditureand the R&D personnel were used as input variables, while patents, national scientificand technological awards and sales were used as output variables. Results imply that theoverall trend of technological innovation efficiency for China’s high-speed rail enterprises
is good; technical change is the main factor that influences the technological innovation
efficiency; due to the high technical change, CRRC Corporation Limited (CRRC) and China
State Construction Engineering Corporation (CSCEC) recorded the higher average totalfactor productivity change than other enterprises. Finally, combining with the results of theempirical study, this paper puts forward the corresponding countermeasures of improving
high-speed rail enterprises’ technological innovation efficiency.

WE-01.1 [A] A Model Template Green Environment Initiative for Recycling
Plastic Bottles with Progressive Entrepreneurship Partnership

WE-01.3 [R] Strategic Foresight and Policy Interpretation of Mass
Entrepreneurship and Innovation(MEI) in China

Vu Duong; Duy Tan University, Vietnam
Ashfaq Ahmed; Purdue University Northwest, United States
Omer Farook; Purdue University Northwest, United States

Li Zhang; National Academy of Innovation Strategy, CAST, China
Yu Zhao; National Academy of Innovation Strategy, CAST, China
Zhou Daya; National Academy of Innovation Strategy, CAST, China

Plastic has been widely adopted by the global industry as the most common and adaptablematerial for marketing their products. Current levels of plastic usage and disposal are oneof the biggest environmental challenges that we have to deal with. Collecting and recycling
plastic is one of the most important actions currently used to meet this challenge, but it
represents one of the most demanding areas in the plastics industry today. A major percentageof recycled plastic produced each year is used to manufacture disposable packaging items
or other short-lived items that are discarded within a year or so. This clearly means that
our current use of plastics is not sustainable. In addition, because of the durability of thepolymers involved, large amounts of discarded end-of-life plastics are accumulating asdebris in landfills and in natural habitats worldwide. An energy efficient plastic recycling
process involves a complex system of machines and new manufacturing practices. This
paper discusses a promising environmental friendly solution for reducing pollution byrecycling plastic bottles. The process of recovering waste plastic and reprocessing it into
useful products would be implemented in three stages: a) Set up and organize a system forcollecting plastics used for water and soda bottles. b) Design and manufacture production
line for automatically processing plastic bottles to make plastic ribbon/wire of various sizes.
c) Use the plastic ribbon/wire to manufacture prototypes of useful artifacts and products liketables, chairs, roofing material, decorations, etc. The project has both economic and social
value. On the economical side, this will save money by minimizing all expenditure for waste
processing related to destroying the plastic waste; the second important contribution of the
project is the significant impact on employment creation, especially in rural areas; lastly, therecycled plastic is used to make new plastic products with reasonable prices for low-income
families. On the social side, this will improve environmental conditions for life, reduce
landfill waste, prevent disease-spreading due to recycling plastic, eliminate contaminationfrom burning and melting plastic material, and increase public awareness of environmental
protection for the benefit of humanity. A prototype of the project designed and manufactured
in Duy Tan University, Vietnam, for cutting bottles into ribbon/wire and connecting themcontinuously is complete. We will present a pilot test result of our approach to use the plastic
ribbon/wire to make new and useful products. A progressive sustainable economic model ofChina’s development has entered a new normal, which is a critical transformable age fromold developing energy to a new one. We should take mass entrepreneurship and innovation(MEI) as a structural reform to stimulate the creativity of the whole society and build a newengine of development. Up to date, the State Council of China has published nearly 30
policy papers to promote China MEI since 2014. To understand policy effectiveness, theState Council entrusted China Association for Science and Technology (CAST) to do thethird-party evaluation on the MEI implementation in July 2015. This evaluation was mainly
focused on policy tools. We chose several perspectives to evaluate the implementation
situation and outcomes of MEI, including the entrepreneurial platforms, financing channels
and entrepreneurial groups (university students, scientific and technical workers, returning
migrant workers, returnees, etc.). The method we use is includes 20,000 questionnaires sent
to the university students and S&T workers, big data mining with companies such as Baidu
and Ali research, field interview and investigation in 20 provinces, second-hand informationcollected from Ministries. This paper will show the evaluation results of 2015 MEI and 2016
MEI and will give suggestions for further development of MEI.
WE-02 Entrepreneurship/ Intrapreneurship-7
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Kona Moku Salon B
Chair(s) Bala Mulloth; University of Virginia
WE-02.1 [R] Grassroots Opportunities for Innovation, Technology, andEntrepreneurship: Makerspaces in Non-Urban Communities
Prescott C Ensign; Wilfrid Laurier University, Canada
Philipp Leupold; Technische Hochschule Nurnberg, Germany
A revolution has been underway in creating, innovating, and making things. The developmentof makerspaces is a 21st century development that is taking place - particularly in large
urban locations - throughout the world. More recently, smaller/non-urban communities
have witnessed the development of makerspaces as grassroots opportunities for innovation,

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

93Sessions
technology and entrepreneurship. Makerspaces are viewed as setting the stage for economic
growth and creative capital development for decades to come. To date, most research has
focused on makerspaces in urban settings. This exploratory study extends our knowledgeof makerspaces located in small-medium sized/non-urban communities. We found theseeds of true “grassroots” innovation, technology and entrepreneurship are being initiatedin the context of small to medium sized and rural communities in the Province of Ontario
Canada. The study addresses four questions. (1) Where are non-urban makerspaces locatedgeographically? (2) What types of maker platforms are used? (3) What are the organizationaland structural characteristics of these makerspaces? (4) Are these grassroots makerspacesa reflection of a local community’s entrepreneurial ecosystem? It provides data to stimulate
further discussion on research and policy issues relative to development of non-urban
makerspaces.
WE-02.2 [A] Management of Deep Technology Startups in Japan
Takashi Iwamoto; Keio University, Japan
Industrial structure reform is necessary in Japan since most mass production-based
businesses were moved to the other Asian countries such as Korea, Taiwan, China andSoutheast Asia, and growth of deep technology startups is very important for the industrial
structure reform. The number of deep technology startups growing successfully is still small
in Japan, but some success cases started to appear. In this research, most successful cases
were studied and the key points of management of deep technology startups in Japan wereextracted. It was extracted in this research that not only good deep technologies but also
the existence of business management for deep technologies was important for success.
Also, branding is important especially in Japan because Japanese people place value ontrust much more than people in the other countries and it is important that deep technology
startups get big companies, which most people in Japan trust, as customers.
WE-02.3 [R] Information & Communication Technology (ICT) Can Change
the Way of Women Entrepreneurs Run Their Businesses: A Case Study in
Bangladesh
Muhammad H Bhuyan; Tongji University Shanghai China, China
Demian Chen; Tongji University Shanghai China, China
The objective of this study is to point out the ICT factors and constraints in women
entrepreneurs’-owned small and medium enterprises (SMEs) in Bangladesh. The main focusof this study is to find out the importance of involving ICT (information and communication
technology) management for a successful SME operation. The main object of this paper is
to investigate and analyze how ICT’s can benefit women entrepreneurs to keep a running
improvement in women empowerment in Bangladesh. The article also focuses on existing
collaboration between the women entrepreneurs and ICT’s in Bangladesh. Bangladesh
is a developing country, and for a developing country the role of entrepreneurship is very
imperative. Almost half of the population in Bangladesh is women. There is a concept in
our country that women are good at housework. But in this era, they are proving it wrong,
and they are contributing to local GDP more and more. But as a developing country, therate of literate women is very low. However, nowadays women are conscious about theirrights. Entrepreneurship creates a unique opportunity to make women self-independent. Now
women in Bangladesh create their own ventures. For example, they are operating boutique
shops, food shops, restaurants, etc. Entrepreneurship is changing their lives and boosting
the empowerment of women. But this is the age of globalization, and one of the most essential
tools of globalization is ICT. ICT gives a tremendous opportunity for women to build andcontribute to a strong economic fundamental.
WE-03 New Product Development-4
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Kona Moku Salon C
Chair(s) Matti A Sommarberg; Tampere University of Technology

94

WE-03.1 [R] Conceptual Design of an Adsorption Refrigeration System:
Conceptual Design as Core of the Innovation Cell
Jose C Alvarez Merino; Universidad Peruana de Ciencias Aplicadas, Peru
Kazuo Hatakeyama; UNISOCIESC, Brazil
Research university groups that interact with other similar groups require support with
prototypes and laboratory hardware to apply acquired knowledge, as well as to generate
new knowledge since the research was performed. Particularly, this happens in the themeof refrigeration by absorption/adsorption that had interrupted its technological trajectoryin Peru. So, with the conceptual design and the prototype of refrigeration by adsorption
to perform tests and research, the researchers will become more available to develop joint
works and to participate in international networks of research. For this, we will perform theconceptual design of adsorption refrigeration system - that utilizes the solar energy and therecovery of heat as a source energy - based in our model that considers the conceptual
design as the core of the innovation cell, and it integrates the proposals of Porter & Newman,
Tay & Gu, and Altshuller. Results of this work open the possibility, to the research group, toperform joint projects and to grow in the theme.
WE-03.2 [R] The Effects of Product Line Length on Firm Performance
Johanna Kirjavainen; Tampere University of Technology, Finland
Saku J Makinen; Tampere University of Technology, Finland
Matti Sommarberg; Tampere University of Technology, Finland
What products to offer represents one of the most important strategic choices a firm has tomake in order to survive in competitive environments. Decisions about the length and breadthof a firm’s product line are difficult but vital to its success. Despite this, the performance
effects of product line length are a topic of continuing discussion in academia. There are also
multiple ways to define both product line length and breadth, further hindering the analysis
and comparison of the results. This study defines both product line length and breadth anddistinguishes them as separate dimensions of a firm’s product portfolio. Additionally, therelationship between product line length and firm performance is analyzed through customer
evaluations. The study is set in the digital camera industry, focusing on the new productintroductions into the compact product category during 2000 - 2014. Our results offer
indication that there exists an inverted U-shaped relationship between product line lengthand firm performance.
WE-03.3 [R] Convolution or Transformation?: The Integration of GNSS Signals
and WSNs
Oludare Olorunniwo; Obafemi Awolowo University, Nigeria
Signal tracking in a challenged environment such as deep indoor or urban canyon, where
standard positioning signals fail, has inspired a variety of augmentation systems. WSN
technology has improved position accuracy, especially where GNSS signals have become
noisy or unreliable. However, the compatibility and interoperability of GNSS signals withstandard sensor fusion is an evolution that is ongoing. This paper presents the social,technical, engineering, environmental, and political (STEEP) perspective on integrated GNSS
signals in conjunction with the spectral requirements and performance metrics necessary.
The observed model suggests that optimal descriptors are pivotal to the integration of WSNs
and navigational signals.
WE-03.4 [R] Factors Influencing Interaction of Creative Teams in Generationof Ideas of New Products: An Approach from Collaborative Scripts
Jose J Aguilar; National University of Colombia, Colombia
Manuel J Trujillo; National University of Colombia, Colombia
The effective generation of new ideas with collaborative teams in the early stages of new
product development is one of the most difficult challenges facing the management of
product innovation. The systematic nature of the interaction processes in collaborative
teams based on specific productive context has not been sufficiently addressed. This study

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
proposes a systematic process of product development that allows, through a script ofearly stage of product development, improving the effectiveness of collaborative teams. The
proposal is based on ill-structured problem-solving models, the perspective of resources
and capabilities based on literature of management, and the approaches from the designof co-creation and collaborative learning. The proposed script was evaluated through anexperiment design with four product development teams. The proposal goal has threecontributions: first, in relation to the improvement of the novelty of the product; second, in
relation to the decrease of uncertainty in the introduction of the product to the market; andthird, encouraging standardized work practices that adhere to a consistent set of proceduresthat can be successful. The study showed that this work with collaborative teams based oncollaboration scripts leads to improved results in relation to the novelty of the ideas generated
in the design process and in its feasibility in productive contexts.
WE-04 Emerging Technologies-2
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Waikiki Salon 1
Chair(s) Gary Langford; Portland State University
WE-04.1 [R] Novel Approach To Managing Technological Entrepreneurship
Using A Model-Based Systems Approach To Develop Low Cost Earth Orbiting
Satellites
Gary Langford; Portland State University, United States
Jeff Carpenter; Portland State University, United States
Ian Watkins; Portland State University, United States
Brock Marsh; Portland State University, United States
Luke Beaulieu; Portland State University, United States
The ability to send low-cost satellites into space has changed the satellite industry andvastly opened up the use of satellites to transform data into information for individuals,organizations, commercial companies, and governments. This information can becorroborated with other sources of data to evaluate the availability of precious resources,
e.g., potable water, agriculture; to forecast upcoming famines or diseases; and to performmapping, communications, and competitive analyses. The cost of owning a satellite is lessthan $100,000 (using commercial parts) to $1,000 (built by school kids). Launch costs aretens of thousands of dollars, which can be eliminated through subsidies. Compare thesecosts to $200 million to $1 billion costs for similar functionality, higher performance andgreater durability - an interesting trade space that favors multiple low-cost flights versus
significantly higher costs for permanent satellites for an increasing number of applications.
The challenge is to form and manage a development team of unskilled professionals, highschool students, or university students to meet deadlines and flight standards. These teammembers are likely highly motivated and unskilled. This paper describes the technicalmanagement strategy and techniques used to develop the 10 cm, 6-sided CubeSats.
WE-04.2 [R] The Development of Carbon Capture and Storage in China:
Progress, Challenge and Collaboration
Conghui Yin; Shanghai Maritime University, China
Ziyang Huang; Huazhong University of Science and Technology, China
With huge technical potential, carbon capture and storage (CCS) technology has received highattention by countries around world as an important means to tackle climate change. China
is facing severe pressure of carbon dioxide mitigation and has been devoted to developing
CCS technologies. This study explores the global CCS competitive landscape and China’s
position by patent analysis, and it also investigates the development environment in China
for developing CCS from political, economic, social and technological perspectives by using
a method of PEST analysis. The result shows China has made some progress in recent years
but also faces difficult challenges. The study examines the collaboration network in Chinese
CCS industry and analyzes the features, actors and groups in the network by adopting themethod of social network analysis. It is found that there are few and weak cooperative relations
within China. The study also analyzes the potential R&D collaboration opportunities between

China’s major CCS organizations and international technology-leading CCS enterprises
through the construction of technical relevance networks. The analysis results of collaboration
network and technical relevance network can provide references for the development of CCS
technology innovation and the promotion of international CCS knowledge exchange. At last,
three suggestions are proposed for promoting the development of CCS technology in China.
WE-04.3 [R] The Evolution of China’s LED Industry from the View of
Disruptive Technology Innovation
Xuanting Ye; Beijing Institute of Technology, China
Defang Yang; Beijing Institute of Technology, China
Jian Zhang; Central University of Finance and Economics, China
Yun Liu; University of Chinese Academy of Sciences, China
Jingru Yin; Beijing Institute of Technology, China
The unique technical principals and superior technical performance make LED lighting
achieve the disruption of traditional lighting. This paper conducts an analytical frameworkof “technology-market-policy” to reveal the internal mechanism and key driving factors of
LED as a disruptive technology, from the sprout of science and technology to become a
new generation of lighting technology replacing the traditional lighting. Studying the growth
path of China’s LED industry and excavating the influencing factors and important impetus
in its growth process enable us to recognize the characteristics and incentives of emerging
industries based on disruptive technology innovation.
WE-05 Intellectual Property-5
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Waikiki Salon 2
Chair(s) Li Gu, Dalian University of Technology, China
WE-05.1 [R] The Patent Portfolios Value Evaluation Based on the TOPSISEntropy Method
Weiling Song; Huazhong University of Science and Technology, China
Xiaodong Yuan; Huazhong University of Science and Technology, China
How to evaluate the value of patent portfolios in a competitive market has attracted increasing
attention. At present, most existing methods have to determine the weightings of multiple
indicators based on expert judgements in the process of patent value evaluation. In thispaper, we propose a new approach to value firms’ patent portfolios by combining Entropy
and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which can becalled the TOPSIS-Entropy method. The weights of multiple indicators can be determined byusing Entropy, while the ranking of patent portfolios value is calculated by TOPSIS. A case of
applying the TOPSIS-Entropy method is given in the paper. The TOPSIS-Entropy method isproved reasonable and suitable for patent portfolios value evaluation.
WE-05.2 [R] A Study on Establishment of the Patent Application Quality
Evaluation Index System
Li Gu; Dalian University of Technology, China
Xue Han; Dalian University of Technology, China
Weichun Yan; Dalian Medical University, China
Chen Hong; Dalian University of Technology, China
With the implementation of the national intellectual property strategy, the State Intellectual
Property Office of the P.R.C., in “Several Opinions on Further Enhancing the Patent
Application Quality”, has clearly indicated that the amount of intellectual property creation andthe quality of intellectual property should be coordinated and developed. Leading creators ofintellectual property should shift their attention from the quantity of the intellectual property
they produce to the quality of that intellectual property. The quality of patent applications
plays an important role in patent quality evaluation and innovation. Therefore, it is importantto further improve the quality of patent applications to ensure the efficient operation of thepatent system. This research will start from the connotation of patent application quality, withinsight from domestic and foreign scholars on the quality index of patent applications. Then

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

95

Sessionsthis research will develop a system of patent application quality evaluation index that aims toprovide policy bases and decision-making references for the appropriate evaluation of patentapplication quality.
WE-05.3 [R] Analysis of the Influencing Mechanism of Patent Alliance Uponthe Innovation: From Network Effects Perspective
Jing Hu; China Jiliang University, China
Lijun Zhou; China Jiliang University, China
Yueyi Zhang; China Jiliang University, China
In the context of technical standards highly introducing the technical patents, by obtaining
the ownership of patents of technical standards, enterprises influence the expectations ofconsumers, dominate the leading advantages at the market, improve the entry thresholdof technical market and thus get enormous business interests. However, the close
connection between technical standards and patents forces the increasing emergence of
the “patent thicket” problem, which not only prohibits the promotion of standards and thecommercialization of new technologies, but also slows down the innovation motivations ofenterprises. As an important tool to promote the technical standards for the enterprises, thepatent alliance can reduce the transaction costs and lawsuit disputes as well as accelerate
the promotion and application of proprietary technologies. Meanwhile, taking advantageof the network effects of technical standards, the patent alliance can enlarge the installed
base, influence consumers’ expectations and reinforce the positive feedback mechanism oftechnical standards, thus making itself one of the effective paths to resolve the problem ofpatent thicket and promote the innovation. On the basis of theories regarding the network
effects of technical standards, this paper proposes the meanings of network effects for thetechnical standards and constructs the concept model through which the patent allianceinfluences the innovation. The questionnaire investigation was conducted, and the analysis
was done by the structural equation so as to clarify the factors affecting the innovation ofpatent tool as well as its acting paths.
WE-06 R&D Management-4
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Waikiki Salon 3
Chair(s) James K Chen; Asia University
WE-06.1 [A] Net Present Value-Based Analyses of Products in Development
by Pharmaceutical and Biotech Firms
Shino Kondoh; Kyoto University, Japan
Reiko Onodera; Tokyo Institute of Technology, Japan
Mitsuya Sakurai; Kyoto University, Japan
Atsushi Seki; UBS AG, Japan
Shintaro Sengoku; Tokyo Institute of Technology, Japan
The productivity of pharmaceutical research and development (R&D) has steadily declined
over the past 10 years. The value-based evaluation approach is expected to lead to a better
understanding of the value structure of pharmaceutical products compared to the current
volume-based one by identifying key drivers for improving R&D productivity. In the present
study, we conducted a comparative analysis based on a conventional valuation methodology
across the nationality and business model of pharmaceutical firms using a value-based
database. We selected five major pharmaceutical firms in terms of corporate value fromJapan, the U.S., and Europe, as well as three biotech firms. We chose five representative
pipeline products from each of these firms. Comparative analyses using net present value
or NPV, peak sales, and lifespan that is represented as the ratio of total sales to peak sales
revealed significant differences based on firm types and the origin of products (in-house or
external), which have not been observed in the conventional volume-based approach. Thus,
the findings provide additional implications for pharmaceutical value-formation processes
and mechanisms. The present study advocates a segmented analysis of the activities ofindividual firms and emphasises the utility of value-based management for improving R&D
productivity.

96

WE-06.2 [A] Technology and System Readiness Assessment for a Nuclear
Energy R&D Program
Brent Dixon; Idaho National Laboratory, United States
Michael Todosow; Brookhaven National Laboratory, United States
Gretchen Matthern; Idaho National Laboratory, United States
Roald Wigeland; Idaho National Laboratory, United States
This paper discusses modification of the U.S. Department of Energy’s (DOE) Technology
Readiness Assessment Guide (DOE G 413.3-4A) for use in the Office of Nuclear Energy’s
Nuclear Technology Research and Development (NTRD) program. DOE 413.3-4A describes
an approach for identifying and managing technology risks in large construction projects
to ensure technology development is part of the project baseline and technology maturity
is sufficiently advanced before including a technology in the facility design. The processincludes the identification of critical technology elements (CTEs), followed by in-depth
evaluation of technology readiness levels (TRLs) and development of technology maturationplans (TMPs) for those CTEs. This approach was augmented for the NTRD program to include
system readiness levels (SRLs) as a complement to TRLs, and developing perspective tracks
to better organize the TRL/SRL evaluations that determine the level of knowledge/maturationof the CTEs (e.g., experiments & modeling, safety & hazards, manufacturing, etc.). The
augmented approach was tested on two areas of research in 2017 (metallic nuclear fuels andfuel dissolution for recycling) and is now being applied to a complete advanced nuclear fuelcycle (from uranium mining to waste disposal).
WE-06.3 [R] Knowledge Spillover among Semiconductor Foundries
Chun-Chieh Wang; National Taiwan University, Taiwan
Mu-Hsuan Huang; National Taiwan University, Taiwan
Constant innovation has become an important survival rule for companies in the knowledge
economy. How to capture the external knowledge (the knowledge spillover) and how tointernalize external knowledge from the knowledge flow (the technology convergence)
have become important issues. A case analysis of knowledge spillover and technology
convergence was conducted, and it focuses on the top IC foundries including AMD,
Chartered Semiconductor, Samsung Electronics, TSMC, and UMC. In this study, theanalysis is distinguished by wafer size into three periods: the six-inch (1976-1991), eightinch (1989-1999), and twelve-inch wafer (1997-2011). Patentometrics and social network
analysis (SNA) methods are adopted, and the R&D cooperation and patent citations among
foundries are used to represent the strong ties and weak ties of knowledge spillover. The
strength and range of technology convergence can be measured based on the co-occurrenceof patent classes between foundries. The results of this study revealed that there are similar
knowledge spillover patterns among the major IC foundries; however, there were considerable
differences in terms of technology convergence. The comparison between the knowledge
spillover and technology convergence of these foundries can help technology managers
predict the emergence of new technology and assist in the planning of R&D strategies.
WE-08 Strategic Management of Technology-2
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Milo II
Chair(s) Charles Weber, Portland State University
WE-08.1 [R] IT Governance Effectiveness and Its Influence on Innovation
Product and Process
Sergio M Borja; Seoul National University, Korea, South
Keungoui Kim; Seoul National University, Korea, South
Hyenyoung Yoon; Seoul National University, Korea, South
Junseok Hwang; Seoul National University, Korea, South
Information technology (IT) and innovation are topics that receive the attention among
academics. However, the increasing and pervasive dependence on IT from organizations has
raised a lot of concerns on the topic of IT governance (ITG). ITG and innovation have not had
the attention among academics. This study aims to examine the relationship among effective

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
ITG, ITG relevant knowledge and how they influence an innovation product and process.
This study uses structural equation modeling (SEM) to evaluate 215 valid surveys that werecollected from members of the respective local chapters located in Bogota, Colombia, of
the following institutions: Information Systems Audit and Control Association (ISACA) and
Project Management Institute (PMI). In addition, members of the Colombian Computer
Science Engineers Association (ACIS) also participate in answering our survey instrument.
Our study found that ITG has positive and significant influence on innovation product andprocess. ITG relevant knowledge influences positively ITG, especially when ITG experienceis high; however, when the ITG experience is low, its effect is perceived as negative on
innovation product and process.
WE-08.2 [R] Nokia Phones: From a Total Success to a Total Fiasco
Ahmed A Alibage; Portland State University, United States
Charles Weber; Portland State University , United States
This research intensively reviews and analyzes the strategic management of technology at
Nokia Corporation. Using traditional narrative literature review and secondary sources, we
reviewed and analyzed the historical transformation of Nokia’s core business, leadershipstrategies, business architecture, R&D policy, innovation strategy, product lunch, andsmartphones recognition and demonstration. We identified various strategic gaps that theprevious analytical studies seemingly have failed to identify and generalize. Therefore, we
add to the literature a bundle of the lessons learned that chronologically explain how Nokia
failed to create and sustain competitive advantages, particularly in the smartphone market.
We concluded that the problem at Nokia was not the lack of innovation, but rather, it was
the lack of a precise technology forecasting, and misunderstanding that the needs in thesmartphone market were not just about demonstrating a mobile phone that makes calls, texts
and connects to the web, but also the platform that operates all these functions together.
Since Nokia’s brand name is recently back in the market through a newly licensed firm (HMD
Global), we further discuss how likely Nokia’s new smartphones will possibly compete andplausibly succeed in a very well-established market.
WE-08.3 [R] Business Intelligence and Data Analytics as a Driver of Dynamic
Capability Strategic Approach
Maoloud Y Dabab; Portland State University, United States
Charles Weber; Portland State University, United States
Papers addressing the dynamic capability (DC) approach either support it as the best
strategy or express its defects and impediments to implementation. However, this paper
aims to promote the DC through the means of digital transformation from the angle ofbusiness intelligence and data analytics (BIDA). This article employs the logic of matching
the essential components of the DC and BIDA to verify the extent of their conformity. A
literature review methodology has been adopted since there are a considerable number ofpublications that focus on DC and BIDA. This paper posits that the main components of DC
are sensing and exploring changes, seizing opportunities, and managing reconfiguration andtransformation. Whereas, the features of knowledge discovery, decision support, predictingchanges and risks are related to the BIDA. Additionally, this study found that the BIDA has asignificant positive effect on the DC and helps to achieve a competitive advantage. By drawing
the connection and demonstrating the impact of the essential elements of DC and BIDA, thisarticle shows the vital framework of how the BIDA supports the DC. Finally, some limitations
and gaps that provide suggestions for future research in this area are discussed.
WE-09 Enterprise Management-2
Wednesday, 8/22/2018, 16:00 - 17:30
Room: Milo III
Chair(s) Oliver Yu; San Jose State University
WE-09.1 [A] Feasibility Study on Establishing Human Resource Development
Infrastructure for Developing Countries: The Case for Ghana’s Power
Company

Johng-Ihl Lee; SUNY Korea, Korea, South
Mun-Su Park; SUNY Korea, Korea, South
Sang Hwa Kwun; SUNY Korea, Korea, South
Soonwoo Chang; SUNY Korea, Korea, SouthThis paper summarizes a feasibility study on the Human Resource Development (HRD)
infrastructure plan establishment in a transmission system sector for Ghana (the project
hereinafter), which was designed to promote technical engineering capacity building in theelectricity sector. Based on the analysis of the general status of the economic, political, andenergy factors, the paper aims to explore a suitable HRD system of transmission in Ghana.
The conclusive remark of the paper is that developing a training center is suggested, as aresult of the operational and managerial examinations on the status of the public electricity
supply company.
WE-09.2 [R] Mapping Critical Factors Affecting the Dynamics ofBiotechnology Companies’ Aggregate Value
Cristiano G Pereira; University of Sao Paulo, Brazil
Joao R Lavoie; Portland State University , United States
Amir Shaygan; Portland State University, United States
Maria Angelica O Luqueze; University of Sao Paulo, Brazil
Geciane S Porto; University of Sao Paulo, Brazil
Recently, biotech companies are increasingly attracting the attention from investors. Since
last year, from the top-ten performers in the NASDAQ-100 (index consisting of the 100
largest non-financial companies listed on Nasdaq) six were biotech. However, the reasons
behind these companies’ success or the actions that lead them to be successful are still
ambiguous. This paper intends to give insights on what are the critical success factors
in the biotech industry by analyzing financial and market data from the 10 companies in
Nasdaq-100 that are biotech. We analyzed the enterprise value (EV) of companies from 2002
to 2016 to identify fluctuations, which can be associated with key indicators such as R&D
expenditure, corporate deals, patent portfolio, pipeline, and several additional indicators. Our
results show an overall analysis of the main critical success factors and strategic actions,in a temporal manner, which the top valued biotech firms fall into. The factors of highest
importance included constant and high investment on R&D, intense transaction related tomergers and acquisitions for big biotech companies, and a favorable regulatory environment
for drug approvals. Some other relevant factors involve the company’s focus and a proper
management of its innovations. The study gives an overview of the consolidated criticalfactors among US biotech companies indicating what the biopharmaceutical is dependent on
to steer them to failure or success.
WE-09.3 [A] Developing an Innovative Organizational Culture: A PeopleCentered and Value-Focused Approach with Case Studies
Oliver Yu; San Jose State University, United States
As culture encompasses the values and behaviors of an organization, developing an
innovative culture is essential for promoting and sustaining creativity and innovation in an
organization. Combining a new model on human values with the case study results of two
leading innovative organizations, 3M and SRI International, this paper presents a peoplecentered and value-focused approach for developing an innovative organizational culture.
The approach consists of three key elements: organization values and alignment, team
motivation and development, and innovation selection and commitment. The paper discusses
these key elements in detail and demonstrates their practical implementations at the twocase-study organizations.
WE-09.4 [R] Management of Modular Enterprises
Karoly Nagy; Budapest University of Technology and Economics, Hungary
Edmond Hajrizi; University for Business and Technology, Other
Edrina Gashi; Corvinus University, Hungary
This study summarizes some important results of the theoretical methodological foundation

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

97

Sessionsprovided by the author of an ongoing virtual economic zone (VEZ) development project.
Modular (modularized) enterprises are a new generation “subspecies” of digital enterprises.
The framework for modularization and its operations is provided by VEZ, which implies akind of “service system” running mainly on the base of an Internet of Things “infrastructure”.
The topic of a VEZ project is concerned with the intersection of cloud computing, big data
and the Future of Internet, focusing on the use of IPv6. Modularization and developmentof VEZ will facilitate the creation of more effective and new qualitative types of enterprises
and organizational culture all over the world. In addition, enterprise modularization will
increase opportunities for development of the human-technology partnership. In a modular
enterprise, the management team has a permanent opportunity to examine the conditionsof every module directly if it is necessary. The leaders avoid the danger resulting from thedistortions of aggregated reports. At the same time, they face the fact that management ofmodular enterprises demands a completely different approach from the habitual point of viewand requires big data thinking. The future of work at the enterprise modularization will shape
the future of technology management and will increase the opportunities for development of
the human-technology partnership.

HA-00 PLENARY - 4
DATE:
THURSDAY, 8/23/2018
TIME:
08:30 - 10:00
ROOM:
KONA MOKU BALLROOMCHAIR:	HARM-JAN STEENHUIS; HAWAII PACIFIC
UNIVERSITY
HA-00.1 [K]Innovation for Impact: Value-creation as the NecessaryCompetitive Advantage
Curtis R Carlson; Practice of Innovation LLC, United States
We are in the global innovation economy. There are abundant unmet opportunities inlarge markets, but technology often improves at exponential rates and global competition
is increasingly fierce. Unfortunately, today innovative success is often poor. S&P 500
companies last for less than 15 years before going away. Experience shows that mostR&D has little or no value. Most university “technology transfer” programs lose money.
The application of value-creation best practices significantly improves innovative output.
Remarkably, few professionals have the value-creation perspectives and skills required tosystematically identify and develop major new opportunities. This talk reviews the innovative
practices used at SRI International when I was CEO. These practices took SRI from 20 years offailing to tripling in size and creating tens of billions of dollars of new market value, including
HDTV, Intuitive Surgical, and Siri, now on the iPhone. Similar practices are described in a2017 National Academy of Engineering report on value-creation best practices. Based onthese concepts, we have created an “Innovation for Impact” value-creation guidebook for use
by the NSF. The ability to use these practices and systematically create important new R&D
programs and high-impact innovations are among the most important skills a professional
can have.
HA-00.2 [K]Enabling Projects Oriented Teams to Drive Innovation
Sadik Esener; Oregon Health and Sciences University, United States
The study of “wicked” problems suggests that multidisciplinary teams can accelerateinnovation to solve complex and intractable challenges such as the early detection of cancer.
Detecting cancer early radically increases the chances of survival after a cancer diagnosis,
making the concept of team-based innovation potentially essential to decreasing sufferingfrom cancer. The Knight Cancer Institute Cancer Early Detection Advanced Research(CEDAR) Center seeks to actively implement and enable team-based science to accelerate
breakthroughs. Our center brings together researchers and entrepreneurs with a range ofexpertise, experience and perspective to create novel solutions that can be translated to98

the marketplace. We have created a project driven, flat hierarchy where the best ideas riseto the top and are funded. Putting a true team-based model into place requires intention
around incentives, staffing, team development, and output measurement. We will discuss
the implementation of this operational model using case studies from active and terminatedprojects.
HB-01 Innovation Management-9
Thursday, 8/23/2018, 10:30 - 12:00
Room: Kona Moku Salon A
Chair(s) Rebecca Hirte; Daimler AG
HB-01.1 [R] Does My Organization Need an Innovation Management
Function?: Towards a Model for Evaluation
Marthinus J Du Plessis; University of Pretoria, South Africa
Marthinus W Pretorius; University of Pretoria, South Africa
Many innovation management experts, especially those from academic institutions andmanagement consulting firms, believe that innovation is a discipline in its own right (ordeveloping towards one). From this point of view, it can be concluded that the managementof innovation activities in organizations will be performed by a separate function within the
structure of the organization. There are many examples of companies that manage innovation
as a corporate function, headed by a VP innovation, chief technology and innovation officer
or the like. To the contrary, other companies that also underpin the key role of innovation
do not believe in functional structuring of the management of innovation. Their approachrelies heavily on the innovative culture and open, unstructured interaction and idea
sharing through all levels of the organization. Google is a good example that supports thisapproach. This paper aims to share insight into this contradictory issue. A literature-based
research approach is followed to identify possible factors that can help firms to characterize
themselves. The common view is that innovation management consists of dimensions likeinnovative leadership, innovation culture, the innovation process, knowledge management
and others. This point of view supports the need to drive innovation with an integrative
approach mainly by active management of innovation through a formal structure within
the organization. Nevertheless, various points of view for or against a formal structure areargued in terms of the contexts related to these dimensions. Conclusions are drawn, and ataxonomy is suggested for the development of a model for firms to guide themselves when
determining their need for an innovation management function and what the management
priorities should be.
HB-01.2 [R] Discontinuous Innovation and the Defense Innovation Cycle
Adam Jay Harrison; New York University, United States
Bharat Rao; New York University, United States
This paper extends the concept of transilience mapping developed by Abernathy and Clark(1984) to model the cycle of innovation in the United States Department of Defense (DOD).
Here, transilience is defined as the capacity of an innovation to influence the establishedtechnological paradigm in the DOD, which includes both the accepted methods of value
creation and the resulting dominant designs. Examples of reinforcing and disruptive
innovation in the DOD are mapped to the four modes of innovation (i.e., niche, architectural,
regular, and revolutionary), and the concept of a defense innovation cycle based on theemergence of new dominant designs is introduced. The analysis shows that the relationshipbetween technological innovations and dominant designs over time is associated with theextent to which new innovations are either consistent or inconsistent with the technologicalparadigm.
HB-01.3 [R] Outbound Open Innovation: Re-imagining Diversification
Strategies in Technology Companies
Dimitrios Salampasis; Swinburne University of Technology , Australia
Anne-Laure Mention; RMIT University, Australia

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Sessions
The global business environment is immersed with increasingly complex and volatile forcesof competition, positioned within a relentless endeavor to maintain a transient advantage.
In this frame of reference, groundbreaking technology-driven changes gradually lead manyindustrial cohorts in the verge of disruption. In light of these developments, the emergenceof open innovation, as a connection-driven innovation paradigm, aims at providing a setof practices to organizations, fostering collaborative and intrapreneurial initiatives, along,across and beyond functional and organizational boundaries, facilitating the rethinking of
antiquated business models and value propositions. In this context, this research contributes
to the extant open innovation and technology management literature by shedding light tothe role outbound open innovation plays as a vehicle of diversification in technology-driven
companies. In-depth semi-structured interviews conducted within Vielltco, a leading producerof sensing solutions, illuminate the peculiarities of outbound open innovation practices as ameans of leveraging un/under-utilized ideas, projects and technologies towards developing
diversified commercialized offerings within existing and new (related and unrelated) markets.
This research shares novel academic and managerial insight related to intra- and crossindustry innovation, the stimulation of intrapreneurial actions, along with the outbound open
innovation integrated capabilities required in order to accelerate diversification strategies intechnology-driven companies.
HB-02 Entrepreneurship/ Intrapreneurship-8
Thursday, 8/23/2018, 10:30 - 12:00
Room: Kona Moku Salon B
Chair(s) Kazuo Hatakeyama; Entrepreneur Consultant Office
HB-02.1 [A] Building a Sustainable Business Model through Technology
Entrepreneurship: An Analysis of Business Models from a System and a
System of Systems Perspective
Gary Langford; Portland State University, United States
Teresa Langford; Portland Community College, United States
Case study methods are used to identify key elements of business models in highly
competitive environments. Small businesses, in particular, must rely on entrepreneurial
prowess and innovation, adapt to their environment, have sufficient resources, and skillfully
manage project outcomes in entrepreneurial start-up situations. This research hypothesizedthat a problem faced by entrepreneurial organizations is due to the fundamental flaws andpoor adaptability of their business models to satisfy needs of customers and prospective
customers. The problem is that the flow of value from business to customer was different
from the flow of value from business to user. Two kinds of business models were examined- for-profit and non-profit. Each business model is expressed and compared in terms of
their inherent systemic nature as both a system and as a system of systems. A systems
approach is used to identify the essential requirements for building a sustainable businessmodel through a mix of technology innovations for products and services. This paper reveals
why sustainable entrepreneurial businesses can be built regardless of given their status
as for-profit or non-profit. The advantages and disadvantages of for-profit and non-profit
businesses are discussed.
HB-02.2 [R] Assessing Photovoltaic Solar Technologies as a Solution for the
Problem of Power Shortage in Iraq
Ahmed A Alibage; Portland State University, United States
In a developing country like Iraq, the infrastructure of the electricity public sector (production,transportation, and distribution) has suffered for a long time from the direct effects ofsuccessive wars, lack of technocracy, bureaucracy, neglect, massive corruption, and much
more that have all contributed to the failure of this sector. Indeed, the electricity sector in Iraq
has not been developed for more than 40 years and has not even properly rehabilitated and/or
maintained its facilities, which has led to a huge gap between the demand and supply (demandis double the supply). It is obvious that the alternative solutions that have been proposed andimplemented since 2003 have not become a solution that could fill even a small portion of
the gap. In this paper, a proposed solution that seemingly has never been given a chance

to be put on the table by both private and public sectors will be discussed. An assessment
for photovoltaic solar panels technologies as an effective, viable, and quick solution for the
infrastructure and demand problem was conducted using the hierarchical decision model(HDM) as a methodology to assess the most efficient and affordable candidate technologies
relevant to all the valid perspectives and criteria.
HB-02.3 [A] Analysis of the Main Factors Affecting the Entrepreneurial
Willingness of Science and Technology Workers in China
Kang Li; National Academy of Innovation Strategy, CAST, China
Hui Shi; Ministry of Science and Technology, China
Dasheng Deng; National Academy of Innovation Strategy, CAST, China
Science and technology workers, who should play the role of being the main force to boosting
mass entrepreneurship and innovation, have not been fully mobilized. Based on the literature
review, this paper employed the survey data and structural equation models to analyze themain factors which affect the entrepreneurial willingness of science and technology workers
in China. The results indicate that the entrepreneurial environment significantly affects theentrepreneurial will, but the effect of mass entrepreneurship and innovation policy is not
significant.
HB-03 Social Innovation
Thursday, 8/23/2018, 10:30 - 12:00
Room: Kona Moku Salon C
Chair(s) Jili Hu, Portland State University
HB-03.1 [R] Scholar Groups of Open Source Software Research in the Fieldof Social Sciences Based on Author Co-Citation Analysis
Ling Wang; China University of Political Science and Law, China
Zhenwei Dong; China University of Political Science and Law, China
In the current era, when many proprietary software vendors consider the source code as theirimportant intellectual property, the introduction and development of open source softwareis undoubtedly a subversive change. The development of open source software is related
to all walks of life, and academic research has become a hot spot. In this paper, the authors
use Author Co-Citation Analysis to analyze the relevant literatures in the field of social
sciences in the Web of Science database from 1986 to 2017. It is found that the current
scholar groups of open source software in the field of social sciences can be divided into
four scholar groups: collaboration model scholar group, participation motivation scholar
group, open innovation scholar group and economics analysis scholar group. There is a
close relationship among these scholar groups, and the degree of contact between nodes in
the network is relatively large. Authors’ co-citations are common in this field, and authors arecoexisting and interacting with each other, which means that interdisciplinary characteristicsof this field are significant and there is a direct or indirect interaction between the scholars
with multiple citations.
HB-03.2 [R] An Analysis on Characteristics and Impacts of Chinese Highly
Cited Researchers’ Transnational Mobility
Fangjuan Yang; Tsinghua University, China
Zheng Liang; Tsinghua University, China
Lan Xue; Tsinghua University, China
In the trend of globalization of science and technology (S&T), there has been a sweeping
flow of high-level scientific and technological talent (HSTT). Training and recruiting HSTT isa strategic choice of all countries and regions of the world to gain international competitive
advantages. In order to make full play to the role of HSTT in the development of economy andsociety, China has implemented an open policy and mechanism to press ahead transnational
construction of HSTT in an all-round way. This paper focuses on HSTT which is represented by
Chinese highly cited researchers (CHCR). Firstly, this paper summarized the characteristics
of CHCS’s transnational mobility from the views of form, stage, direction, scale, frequency
and time on curriculum vitae analysis. Secondly, this paper built econometric models to

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

99

Sessions
measure the influence of CHCR’s transnational mobility on international co-publication andscientific research productivity.
HB-04 Science & Technology Policy-4
Thursday, 8/23/2018, 10:30 - 12:00
Room: Waikiki Salon 1
Chair(s) Young Il Park; Ewha Womans University
HB-04.1 [R] National Policy and Academic Research Trends on Nuclear
Safety in Japan Since the Fukushima Disaster
Ichiro Okabe; Tokyo Institute of Technology, Japan
Yuya Kajikawa; Tokyo Institute of Technology, JapanDue to the Fukushima Daiichi Nuclear Power Plant accident, the government and industries
that should be responsible for nuclear safety have totally lost their trust from the public.
To regain the credibility after the disaster, the Government of Japan cooperated with
the Atomic Energy Society of Japan to create a “Roadmap for Technology and Human
Resources for Light Water Reactor Safety” to share the priority of technology and humanresource development with electric utilities, plant manufacturers, academia, central/
local governments, and residents. We first applied citation network analysis exploring
interrelationships between the 18,145 papers on nuclear plant safety and key technology
categories defined in the government safety roadmap. We then evaluated which technology
domains are strongly affected by the Fukushima disaster using a time series analysis ofannual numbers of publications. We further quantified the impact of Japan’s recent academic
contributions on each technical domain of nuclear safety research compared to the worldwide
trend. The results quantitatively identified areas where Japanese researchers’ contributions
are relatively low despite the importance described in the road map. We believe our results
contribute to evaluating the government’s policy according to quantitative evidence derived
from bibliometric data.
HB-04.2 [R] Influencing Factors on Components and Materials R&D Projects :An Ex-Post Performance Analysis
Yong-gon Cho; Korea Evaluation Inst. of Industrial Technology, Korea, South
Sungjun Hong; Korea Institute of Energy Research, Korea, South
Junhee Bae; Korea Institute of Geoscience and Mineral Resource, Korea, South
Dongphil Chun; Pukyong National University, Korea, SouthTo enhance Korean industrial competitiveness, the government made a huge R&D investment
in various components and materials R&D projects. The ministry of trade, industry andenergy has invested consistently, and 288,068 mil Korean won was invested in 2016. This
research used R&D inputs and outputs data that was collected by a management agency,
Korea Evaluation Institute of Industrial Technology (KEIT). This research analyzes the ex-post
performance of complete materials and parts R&D projects using data envelopment analysis(DEA). We focus on evaluation of ex-post performance and reveal the influencing factorsof the results. There are our main results through empirical analysis. Firstly, a chemicaloriented organization’s performance is superior to other technology areas such as machinery,electronics, and IT. Secondly, the performance is differentiated by R&D supervision
institution. Research institutes and universities have higher performance than big firms andSMEs. Furthermore, the research stage is also an important factor. Basic research projects’
performance is better than applied, and development research projects’. Lastly, cooperation
type is a valuable factor that is related with open innovation. The university-research institutecombination is the best type for enhancing R&D performance. This study can suggest
meaningful information to decision makers within policy and R&D organizations.

Small- and medium-sized enterprises (SMEs) are the backbone of the economy, especiallyin developing countries, contributing to a major part of employment and gross domestic
product (GDP) of the countries. Generally, policy makers try to come up with a variety ofmeasures to support and boost the growth as well as competitive advantages of SMEs inorder to stimulate the economic sustainability of the countries. Thus, the understanding of thenature of growth of SMEs would play an important role in supporting the appropriate policies
for the development of the countries. This paper examines the nature of growth of SMEs in adeveloping country, by using the medium-sized enterprises in Thailand as a case study. Needassessment of the enterprises as well as gap analysis between the expected state and the current state of the enterprises were performed in order to identify the development roadmap forthe enterprises. This study also presents the policy recommendation for the development of
SMEs according to need assessment and gap analysis activities.
HB-04.4 [R] Cost Benefit/Effectiveness Analysis of Climate Change
Adaptation in Potohar Region by Building Rainwater Harvesting Dams
Bareerah Fatima; Pakistan Council of Research in Water Resources, Pakistan
Faizan Hasan; Pakistan Council of Research in Water Resources, Pakistan
Muhammad Choudhary; NAMAL, Pakistan
Northern Punjab region of Pakistan, known as Potohar region comprises 2.26 (Million Hectre) of rich land with mean annual rainfall varying from 400 mm to 1400 mm that has highrunoff potential. Climate of this region is affected by variation in rainfall frequency, flash
floods and long dry periods. The increasing gap in water supply and demand put huge stresson already scarce water resources. Considering the potential of rainwater harvesting in Potohar, the Government has been subsidizing rainwater harvesting projects since 1980’s. Given
the historical uncertainties of climate, importance of rainwater harvesting is increased for it
being a most feasible climate change adaptation option. Rainwater harvesting is evaluated asclimate change adaptation option by performing cost benefit analysis and cost effectivenessanalysis. A total 400 farming families were reviewed in this research that were reported tohave benefitted from subsidized rainwater harvesting projects. For this research, 21 farmers
and farms were surveyed and their cases were collected across the Potohar region. Findingsof this research have revealed that, 60% of the surveyed farmers have higher understandingof climate change and they are willing to add value into their farming practice to increase theirincome, while 67% of farmers recognized that Potohar region has high potential for rainwater
harvesting. Older dams had higher income and showed higher benefit cost ratio, on the other
hand dams constructed during last two years have shown marginal to lower benefits. Overall
economic benefits and effectiveness had established rainwater harvesting as suitable climatechange adaptation option.

HB-04.3 [R] The Nature of Growth of SMEs in Developing Economy: A Case of
Medium-Sized Enterprise in Thailand

HD-01 PANEL: PICMET ’18 Debrief and Future PICMET Planning
Thursday, 8/23/2018, 14:00 - 15:30
Room: Kona Moku Salon A
Panelist(s) Timothy R Anderson; Portland State University
Dilek Cetindamar; University of Technology Sydney
Antonie Jetter; Portland State University
Dundar F Kocaoglu; Portland State University
Hakan Kutgun; Portland State University
Robert H Martin; Software Management Consulting
Caroline Mudavadi; Portland State University
Kiyoshi Niwa; The University of Tokyo
Liono Setiowijoso; Portland State University
Harm-Jan Steenhuis; Hawaii Pacific University
Charles M Weber; Portland State University
Byung Sung Yoon; Portland State University

Songphon Munkongsujarit; National Science and Technology Development Agency,
ThailandThis session will provide an opportunity to give feedback on PICMET ’18 and to get involvedin the planning for the PICMET ’19 Conference.

100

Note: [R] = Research Paper; [A] = Industry Application; [K] = Keynote

Author Index
A

Borgstedt, Philipp ; TB-09.1

Cho, Yong-gon ; HB-04.2

Borja, Sergio M.; TE-09; WE-08.1

Choudhary, Muhammad ; TB-07.3,
HB-04.4

Abu Taha, Rimal ; WB-02.3

Bosnjak, Mile ; MB-08.2

Acai, Joseph ; MD-08.1

Bozeman, Barry ; TE-03

Adami, Marcos ; TB-07.4

Bradley, Danielle ; TB-02.2

Adebayo, Olumide ; TD-05.1

Broering, Stefanie ; MB-08.1

Adjogble, Franck Komi ; TE-06.3

Bruens, Bennet ; TE-11.1

Agwa-Ejon, John Francis; MB-07.3;
MD-07.2

Buchanan, Walter W. ; TB-10.1

Ahmed, Ashfaq; WD-01; WE-01.1

Burmaoglu, Serhat ; ME-01

Ahn, Mark J. ; TB-04.2

Busch, Jeffrey ; ME-08.1; ME-08; TB-07

Burggraf, Peter ; MD-04.3

Alibage, Ahmed A.; WE-08.2; HB-02.2

Choy, King-lun T.; MB-02.1; ME-11.2;
TD-06.1
Chu, Yanqun ; ME-02.3
Chun, Dongphil ; HB-04.2
Chung, Do Bum ; MB-06.1
Conover, Matthew ; MD-06.3
Corsaro, Daniela ; MB-03.1
Cowan, Kelly R. ; TD-04.3
Craven, Rebecca ; ME-07.1

C

Cunningham, Scott ; MD-04.1; ME-01;
TE-03

Alnasri, Yaser ; ME-08.1

Caferoglu, Huseyin ; MD-06.2

D

Alsulami, Hemaid ; WB-02.3
Alvarez Merino, Jose C. ; WE-03.1

Cao, Renzhi ; MB-11.1; MD-06.3;
TB-02.2

Alzahrani, Ahmed ; ME-04.1

Carlotta, Belviso ; MD-11.1

Alzahrani, Saeed ; ME-04; ME-04.1

Carlson, Curtis R. ; HA-00.1

Dabab, Maoloud ; MD-10.1; ME-07.1;
TD-11.2; WE-08.3

Amadi-Echendu, Joe ; MD-08.1

Carpenter, Jeff ; WE-04.1

Dabic, Marina ; MB-08.2; MB-08

Anderson, Timothy R.; MA-00; HD-01

Castro-Leon, Enrique G. ; TB-01.3

Dai, Xuran ; ME-04.1

Anzai, Tomohiro ; TB-09.2

Cetindamar, Dilek ; TA-00; TE-02.1;
HD-01

Daim, Tugrul ; TB-06.3; TD-04; TD-04.3;
TE-03

Chaiwongyen, Anuwat ; TD-09.1

Dannapfel, Matthias ; MD-04.3

Chan, Leong ; MB-11; MB-11.1;
MD-06.3; TB-02.2

Daya, Zhou ; WE-01.3

Chang, Hyungsik ; WD-04.2

Deng, Dasheng ; HB-02.3

Chang, Soonwoo ; WE-09.1

Diels, F. ; MD-03.1

Chang, Tin-Chang ; MB-10.1

Dixon, Brent ; WD-06; WE-06.2

Chen, An-Yu ; WD-03.2

Djassemi, Manocher ; MD-09.3; ME-09

Chen, C. ; ME-02.2

Doelle, Christian ; MD-03.2; MD-03.1

Chen, Chung-Jen ; TB-08.2

Dong, Zhenwei ; HB-03.1

Chen, Dar-Zen ; MD-05.1

Du, Shengmei ; TE-10.2; TD-10.3

Chen, Demian ; WE-02.3

Du Plessis, Marthinus J. ; HB-01.1

Banka, Kenichiro ; MB-07.2

Chen, James K. ; MD-10.2; WD-06.2;
WE-06

Du Pont, Vivian ; TD-05.3

Barham, Husam ; ME-07.1

Chen, Jia-xin ; WB-08.2

Barros, Marcia ; TB-07.4

Chen, Lulu ; TE-11.3

Beaulieu, Luke ; WE-04.1

Chen, Rui ; TE-10.2

Bechtold, Ulrike ; MD-11.1

Chen, YiSong ; WB-09.1

Becker, Pamela ; TB-10.4

Chen, Yung-Lin ; MB-10.1; TD-10

Beltaif, Nader N. ; WB-10.2

Cheng, Lin C. ; MD-02.3

Bernardy, Anne ; MB-10.2

Cherdgone, Jitpapas ; TE-05.3

Bertling, Matthias ; MD-04.3

Chiadamrong, Navee ; TE-05.1

Bhuyan, Muhammad H. ; WE-02.3

Chiavetta, Denise ; MD-04.1

Edmondson, Joseph C. ; MB-05.3;
MD-05

Bichueti, Roberto S. ; MD-08.3; WE-01.2

Chin, Kyounghwan ; ME-09.2; TE-09.3

Eisenhardt, Kathleen ; MA-00.1; TE-03

Bilankulu, Charmaine ; TD-06.2

Chinda, Krisada ; TD-09.1

Ensign, Prescott C. ; MD-02.2; WD-02;

Alin, Pauli ; TB-10.4
Allegretti, Sebastian ; ME-02; TB-02.3

Aoshima, Yaichi ; WB-06.2
Arakawa, Riku ; ME-10.3
Ardilio, Antonino ; TE-06.3
Atalay, Bulent ; TA-00.2

B
Bae, Junhee; TB-08; HB-04.2
Bae, Zong-Tae ; TD-02.3
Bagno, Raoni B. ; MD-02.3
Bai, Jing ; WB-08.3
Banganayi, Clever ; MD-07.3

Da Costa, Carlos Rafael R. ; MD-08.3

de Lange, Johan ; ME-03.3; ME-03

Dukhi, Shivaar ; ME-09.3
Duong, Vu ; WE-01.1
Duwe, Daniel ; TE-04.2
Dyba, Charlotte ; ME-03.1

EEbi, Manuel ; MD-03.2

101

Author Index
WE-02.1

H

Huang, Mu-Hsuan ; WE-06.3
Huang, Yuanxi ; MB-08.4; WB-08

Esener, Sadik ; HA-00.2
Eto, Manabu ; MD-01; TB-01.2

Hallam, Cory R. A.; MD-11.3; TD-02;
Hacklin, Fredrik ; TD-01.2

Huang, Zhongyi ; WB-06.3; MB-01.3

F

Haddud, Abubaker ; ME-08.2; TB-10.2

Huo, Junhuan ; WD-01.3

Hajrizi, Edmond ; WE-09.4

Hwang, Junseok ; WE-08.1

Han, Xiao ; MB-03; MB-03.1; MB-03.2

Hwangbo, Wonju ; TB-06.2

Fang, Xin ; MB-11.2; MB-11.3
Farook, Omer ; WE-01.1
Fatima, Bareerah ; HB-04.4
Fazekas, Balazs ; TE-09.1

Huang, Ziyang ; WD-05.3; WE-04.2

Han, Xue ; WE-05.2
Hanewicz, Cheryl ; TB-10.4; TB-10

I

Harmon, Robert R. ; TB-01.3; TD-01
Harrison, Adam Jay ; HB-01.2

Ikawa, Yasuo ; MB-07.1

Hasan, Faizan ; HB-04.4

Ikome, John M. ; MD-09.2; ME-09

Fetscher, Manuel ; WB-04.3

Hasenauer, Rainer P. ; MD-11.1; ME-11;
TE-10.1; TE-10

Insawat, Sinrintorn ; ME-04.2

Fischer, Thomas ; TE-06.3

Hashigami, Yasutaka ; TB-01.1

Fisk III, Pliny ; WA-00.2
Flores Marca, Nataly J. ; MB-10; TD-10.2

Hatakeyama, Kazuo ; MD-03; WB-01.2;
WE-03.1; WD-02.2; HB-02

Fosso Wamba, Samuel ; TD-05.2; TE-05

Hayashi, Yuki ; MB-05.2

Freiling, Mike ; MD-10.1

He, Li ; WB-09; WD-09.1; WD-09.3

Frizzo, Kamila ; MD-08.3; TD-08.3;
MD-08.4

He, Wei ; WB-05.2

Fujimoto, Jun ; TD-09.3

Heo, Yoseob ; WD-04.1

Fujisue, Chika ; TE-04.4

Hernandez, Jorge ; WB-04.4

Feng, Ling ; WD-05.2
Ferreyra, Jose C. ; WB-10

Heo, Dongcheol ; MB-01.2

Herrmann, Florian ; TE-04.2

G

Hirano, Makoto ; MD-07; ME-09.1

Gabel, Marie ; TB-09.1

Hollauer, Christoph ; WB-04.3

Gaidedi, Abdulhakim ; TB-06.3
Gao, Yuanying ; WB-08.1
Gashi, Edrina ; WE-09.4
Geissler, Mario ; ME-02.1
Gerdsri, Nathasit ; MD-08.2; MD-08;
TD-04.2; TE-03
Geum, Youngjung ; MB-06.2
Gibson , Elizabeth ; ME-07.1
Goji, Tomotaka ; MB-05.2; TD-10.1
Gomes, Alessandra ; TB-07.4
Gomes, Clandia M. ; MD-08.3; TD-08.3;
MD-08.4
Gong, Yuanyuan ; TE-09.1
Groen, Aard ; WB-04.4
Gu, Li ; WE-05; WE-05.2
Gui, Bingxiu ; WB-08.2
Guo, R. ; ME-02.2
Guo, Ruey-Shan ; TB-08.2
Gupta, Ranjit ; MB-08.3
102

Hirte, Rebecca ; WD-01.1; HB-01
Holtgrave, Maximilian ; TE-02.2
Holtkemper, David ; TB-04.1
Hong, Chen ; WE-05.2
Hong, Sung Wha ; ME-10.2
Hong, Sungjun ; HB-04.2
Horwitch, Mel ; TE-09.2
Hosoya, Ryuichi ; MD-06.1
Hsiao, Yung-Chang ; TB-08.2
Hsieh, Chih-Hung ; TD-08.2
Hsu, Wei-Chen ; ME-04.1
Hu, Jili ; WD-04; HB-03
Hu, Jing ; WD-05; WE-05.3
Hu, Kae-Kuen ; TB-08.2
Hu, Yanni ; ME-11.3
Hu, Zhichen ; MB-03.2
Huang, Hung-Chun ; MB-09; MB-09.2;
WB-05; WB-05.1

Inui, Toshiyuki ; MB-05.4
Ishida, Shuichi ; MD-03.3
Ishihara, Sumie ; MD-03.3
Ishitani, Yasuto ; TB-02.1; TD-02
Ito, Yasunobu ; TB-08.1; TE-11; TE-11.2
Itoh, Sayaka ; MD-04.2
Iwamoto, Takashi ; WB-02; WE-02.2

JJJang, Hye-Jeong ; MB-06.1
Jenzen, Henry ; TD-05.3
Jeong, Yujin ; TD-06.3
Jetter, Antonie ; TB-11.3; WD-03; HD-01
Jia, Xiang ; TE-04.1; TE-04.3
Jiang, Zhenyu ; WD-01.2
Jong, Algane ; WD-06.2
Jordan, Felix ; MB-10.2
Joy, Simy ; MD-02.1
Jun, Seung-Pyo ; TB-09.3

K
Kajikawa, Yuya ; MB-08.3; MD-05.2;
HB-04.1
Kakimoto, Takashi ; TB-11.2
Kalla, Tobias ; WB-04.3
Kameoka, Yasuaki ; ME-10.3
Kanakana, Grace ; MD-09.2
Kang, Jong Seok ; WD-04.1

Huang, Lu ; TE-04.1; TE-04.3

Kang, Rihyei ; TB-07.3

Huang, Lucheng ; ME-06.3; TE-01.2;
WB-09.3

Kano, Shingo ; MD-04.2; TD-04.1
Kasseckert, Andreas ; TB-02.3

Author Index
Kataoka, Rieko ; MB-07.1

Lau, Felix S. ; ME-03.1; ME-03.2

Maine, Elicia M. ; TE-03; WA-00.1

Katoh, Shogo ; TB-09.2

Lauto, Giancarlo ; TB-09.2

Majuri, Matti ; TB-09; TD-09.2

Ke, Tsung-Han ; MB-09.2

Lavoie, Joao R. ; WE-09.2

Makinen, Saku ; TD-02.1; WE-03.2

Kelzenberg, Christoph ; ME-03.3

Lee, Chung-Shing ; MB-11.1; TB-02.2

Mariano, Stefania ; TD-04.4

Kganyago, Thabiso T. ; WD-02.1

Lee, Hang ; WD-03.2

Marinakis, Yorgos ; WB-04.4

Kim, Byung Woon ; WB-10.1

Lee, Heesang ; ME-09.2; TE-09.3

Marsh, Brock ; WE-04.1

Kim, Byungil ; MB-06.1

Lee, Ho-Joon ; MB-06.2

Martin, Robert H. ; ME-07; HD-01

Kim, Keun Hwan ; TB-09.3; WD-04.1

Lee, Hyeokseong ; WD-03.1

Martinez, Enrique ; WB-10

Kim, Keungoui ; WE-08.1

Lee, Hyuck Jai ; ME-10.2

Matsuda, Takanari ; MB-05.2; TD-10.1

Kim, Sungjin ; TE-06.1

Lee, Jihye ; WD-04.2

Matsuno, Yuji ; TD-01.3

Kim, Sunhye ; TD-06.3

Lee, Johng-Ihl ; WE-09.1

Matsushima, Kazunari ; WB-06.2

Kim, Wonjoon ; WD-03.1

Lee, Sungjoo ; TD-08.1

Matthern, Gretchen ; WE-06.2

Kirjavainen, Johanna ; WE-03.2

Lee, Xing Wang ; MB-02.2; ME-04.3

Maximiano, Antonio Cesar A. ; WD-03.3

Kneipp, Jordana M. ; MD-08.3; TD-08.3;
MD-08.4

Leng, Zhengzheng ; WB-06.3

Mayande, Nitin ; ME-06.1

Leupold, Philipp ; WE-02.1

McAllen, Dorothy K. ; ME-08.2; TB-10.2

Kocaoglu, Dundar F. ; HD-01

Li, Kang ; HB-02.3

McDougall, John ; MA-00.2

Kohda, Youji ; TB-07.3

Li, Munan ; ME-02.3

Mei, Hanfei ; MD-06.3

Kondoh, Shino ; WE-06.1

Li, Xin ; ME-06.3; TE-01.2; WB-09.3

Melo Filho, Leonel D. ; MD-02.3

Kongar, Elif ; TD-05.1

Li, Yan ; WB-09.2

Mention, Anne-Laure ; HB-01.3

Kose, Toshihiro ; WD-05.1

Li, YingJie ; MB-03.3

Metanantakul, Krip ; MB-01.2

Koshiyama, Takehiko ; TD-09.3

Li, Zheng ; WB-08.1

Miao, Hong ; WB-09.3; TE-01.2

Kosylo, Nathan ; MD-06.3

Li, Zhengfeng ; MB-09.3

Mikos, Walter L. ; WD-02.2

Kovac, Ivana ; MB-08.2

Liang, Zheng ; HB-03.2

Milicsevics, Milos ; TE-09.2

Kovavisaruch, La-or ; MB-06.3; MB-06;
TD-09.1

Lin, Chien Huei ; TD-08.2
Lin, Deming ; TE-11.3

Mitsumori, Yaeko ; MB-05; MB-05.1;
TB-08.3

Liu, Guangbin ; WD-09.2

Miyamoto, Kengo ; TB-07.3

Liu, John S. ; TD-08.2

Miyazaki, Kumiko ; MB-08.3; MD-06.4;
TE-05.2

Kruglianskas, Isak ; MD-08.3; WE-01.2
Kuan, Chung-Huei ; MD-05.1; TD-08
Kuang, Di ; MB-03.1; MB-03.2
Kubo, Hiroshi ; TB-11.2

Liu, Kaikai ; MB-04.3
Liu, Xuan ; MB-03.3; WD-09; WB-09.2

Moehrle, Martin G. ; MD-06; MD-06.2;
TE-11.1

Liu, Xuefeng ; MB-02.3

Mohammadi, Mehdi ; TE-01.3

Liu, Yun ; WB-08.2; WE-04.3

Mokhtarzadeh, Nima G. ; TE-01.3

Long, Shixiang ; MB-04.3

Mokwalo Monareng, Seun ; MD-07.2

Lopes, Jose Eduardo F. ; WB-01.3

Montshiwa, Abednico L. ; MB-09.1

Lu, Louis Y. ; TD-08.2

Moon, Seungyeon ; TE-09.3

Luk, C.C. ; MB-02.1

Moon, Young-Ho ; WD-04.1

Lai, Taisi ; ME-08.3

Luo, Hui ; MB-09.3; TE-10.2; WB-08.3;
WB-08.1

Morar, Dominik ; WB-04.1

Lam, H.Y. ; MB-02; MB-02.1; ME-11.2;
TD-06.1

Luqueze, Maria Angelica O. ; WE-09.2

Lammers, Thorsten; TB-04; TB-04.3;
TE-02.1

M

Muegge, Steven M. ; ME-07.2; TE-02.3

Langford, Gary; WE-04.1; WE-04;
HB-02.1

Ma, Jianquan ; MB-03.3
Ma, Ru ; WD-06.3

Mulaba-Bafubiandi, Antoine F. ;MD-07.1; MD-07.2; MD-07.3

Langford, Teresa ; HB-02.1

Machado, Marcelo A. ; WB-01.2

Mulloth, Bala ; WB-02.1; WE-02

Lanz, Minna ; TD-09.2

Mageza, Kulani ; MD-07.3

Munkongsujarit, Songphon ; HB-04.3

Lasi, Heiner ; WB-04.1

Mahlori, Bobby ; WB-02.2

Murshed, S. M. Monzur ; ME-07.2

Kuhn, Maximilian ; MD-03.1
Kutgun, Hakan ; TD-05.3; HD-01
Kwun, Sang Hwa ; WE-09.1

L
Labas, Davor ; MB-08.2

Lamsam, Panita ; ME-04.2

Motke, Francies D. ; TD-08.3; MD-08.4
Mudavadi, Caroline ; HD-01
Mugova, Chipo ; MD-11.2; ME-09.3;
MD-11

103

Author Index
Mutsuda, Mitsuteru ; WB-01.1; WE-01

Porter, Alan L. ; MD-04; MD-04.1;
ME-01

Sasaki, Hajime ; TE-04.4

N

Porto, Geciane S. ; WB-01.3; WE-09.2

Sato, Ryusuke ; MD-06.4

Nagahira, Akio ; MD-03.3

Pretorius, Jan-Harm C. ; MD-07.1

Nagy, Karoly ; WE-09.4
Nakashio, Yuko ; MD-05.2
Namba, Kazuhide ; MD-01.1
Nascimento, Paulo T. ; WD-03.3
Newman, Nils ; MD-04.1
Neyer, Bastian ; TB-09.1
Ngqulunga, Bonginkosi R. ; TE-01.1
Nguyen, Le ; MD-11.3
Nienaber, Ann-Marie ; TE-02.2
Niwa, Kiyoshi ; WA-00; HD-01
Nomakuchi, Takao ; TD-11.1; TD-11
Novak, Ivan ; MB-08.2

O
Ogawa, Yasushi ; WB-06.1
Okabe, Ichiro ; HB-04.1
Okara, Svetlana ; MB-08.1
Olorunniwo, Oludare ; TD-08.4;
WE-03.3
Omer, Mayada ; WB-04.3
Onoda, Takashi ; TB-08.1

Pourasgari, Pedram ; TE-01.3
Pretorius, Marthinus W. ; HB-01.1
Prodhan, Anup ; MB-07.3

Sasaki, Yasuo ; ME-10.1; MD-10
Say, Alicia ; ME-02.2; TB-02
Sbragia, Roberto ; WD-03.3
Schaller, Amaury ; TD-04.4

Pulsri, Nonthapat ; MB-01.1; TB-11.1

Schewe, Gerhard ; TB-09.1; TD-09;
TE-02.2

Pun, K.P. ; TD-06.1

Schilling, Melissa A. ; TA-00.1
Schmidt, Tim ; ME-03.2

Q

Schuh, Gunther ; MB-10.2; MD-03.1;
MD-03.2; ME-03.1; ME-03.2; ME-03.3

Qi, Xin ; MB-03.1

Scillitoe, Joanne ; MD-02.1; MD-02

Qiao, Lili ; WB-08.1

Seboni, Lone ; TE-06.2

Qiu, Yang ; ME-08.3

Seidenstricker, Sven ; TB-02.3

RSeki, Atsushi ; WE-06.1

Rahaingoalison, Narizo Mahefa ;WD-04.3

Setiowijoso, Liono ; HD-01

Rahman, Nayem ; MD-10.1

Sheikh, Nasir J. ; TB-06; TB-06.1;
TD-05.1; TE-06.1

Ramakrishna, Akash Bali ; TD-11.3
Ramanantsizehena, Pascal ; WD-04.3
Ramesh, Bhavana ; TD-11.3
Rao, Bharat ; WB-02.1; HB-01.2
Regatierri, Alberto ; TB-04.3
Reid, Ewan ; TE-02.3

Onodera, Reiko ; WE-06.1

Ren, Fujun ; WD-09.2

P

Roth, Philip ; WD-01.1

Rimbock, Franz ; WB-04.3

Sejake, Portia ; MD-11.2
Sengoku, Shintaro ; TB-09.2; WE-06.1
Shaygan, Amir ; TB-04.2; WE-09.2

Shi, Hui ; HB-02.3
Shi, Lei ; WB-08.3
Shi, Yuanyuan ; MB-11.1
Shi, Yunyan ; WB-08.1
Shih, Hsin-Yu ; MB-09.2; WB-05.1
Shim, Hong Souk ; TD-08.1
Shim, We ; TB-09.3; WD-04.1
Shirahada, Kunio ; TD-05; TE-05.1

Ruth, Stephen ; TB-10.3

Sick, Nathalie ; MB-08.1; TE-02.1

SSingh, Nirdesh ; MD-07.1

Park, Se-Jin ; WB-10.1

Saadatmand, Mohammadsaleh ; TD-11.2

Smith, John ; MD-06.3

Park, Young Il ; TB-06.2; TD-06;
WD-04.2; HB-04

Sagalowicz, Daniel ; MD-10.1
Saito, Masatake ; WB-04.2

Pattanatornchai, Jintana ; ME-04.2

Sakata, Ichiro ; MB-05.2; ME-10.3;
TD-10.1; TE-04; TE-04.4; WD-05.1

Pandey, Makarand ; WB-04.4
Park, Jeong-Hyun ; WD-06.1
Park, Mun-Su ; WE-09.1

Patzold, Andreas ; TE-06.3
Pereira, Cristiano G. ; WE-09.2
Pereira, Joao Henrique S. ; WB-01.3
Perlin, Ana Paula ; TD-08.3
Piyatumrong, Apivadee ; TE-05.3
Pontelo de Souza, Matheus L. ; MD-02.3
Poonamallee, Latha ; MD-02.1
Pora, Ummaraporn ; TD-04.2
104

Sakurai, Mitsuya ; WE-06.1
Salampasis, Dimitrios ; TB-01; HB-01.3
Salmen, Michael ; ME-03.3
Sangkeettrakarn, Chatchawal ; TE-05.3
Sanpechuda, Taweesak ; TD-09.1
Santiago, Ruiz Navas ; TE-05.2
Santos, Lucyana ; TB-07.4
Sarmmad, Tahire ; TB-07.3

Silva, Marck ; TB-07.4
Siu, Paul K.Y. ; ME-11.2
So, Dae Sup ; TB-09.3
Sommarberg, Matti A. ; TD-02.1; WE-03;
WE-03.2
Son, Wonbae ; TB-06.1
Song, Weiling ; WE-05.1
Song, Yu ; ME-02.4
Souza Junior, Wesley C. ; MD-02.3
Spath, Dieter ; TE-04.2
Srizongkhram, Shayarath ; TE-05.1
Steenhuis, Harm-Jan ; MB-11.2;
MB-11.3; TE-03; HA-00; HD-01
Stich, Volker ; MB-10.2

Author Index
Su, Hsin-Ning ; WB-05.1

V

Sun, Benson S. ; MD-10.2
Sun, Minghan ; WB-05.2
Suominen, Arho ; ME-01

T
Takada, Naoki ; WB-06.2
Takai, Keigo ; ME-11.1
Tan, Hongying ; ME-11.3
Tanaka, Hiroaki ; MD-05.2
Tanaka, Hiroko ; TB-11.2
Tanaka, Kazuya ; ME-10.3; ME-10
Tanaka, Yoshitoshi ; MB-05.4; MD-05.3

Wilberg, Julian ; WB-04.3
Wisadsud, Sodsai ; TD-09.1

an der Lingen, Elma ; TD-06.2; TE-06;
WD-02.1; WB-02.2

Witdumrong, Sopawan ; TE-05.3

Vatananan-Thesenvitz, Ronald ; MB-01;
MB-01.1; MB-01.2; TB-11.1; TB-11;
TD-04.4

Wu, Feifei ; WB-09.3; TE-01.2

Vegh, Jennifer ; TB-02.2
Vogt, Florian ; ME-03.1
von Gehlen, Kristina ; TE-02.2

W
Wakabayashi, Naoki ; ME-11.1

Wongsatho, Thitipong ; TD-09.1
Wu, Hong ; TE-10.2
Wu, Hung-An ; MB-02.2; ME-04.3
Wu, Yuchen ; MD-10.3

X
Xie, Qianqian ; ME-06.3
Xu, Guannan ; MD-10.3
Xu, Shuo ; TD-10.3; TE-10.2

Taniguchi, Ryo ; TB-07.2

Walsh, Steven T.; TE-03; WB-04;
WB-04.4

Tannirandon, Adiphol ; MD-08.2

Walwyn, David ; TE-01.1

Xu, Yajie ; WB-08.2

Tao, Xiaobo ; ME-02.4

Wang, Chun-Chieh ; WE-06.3

Xue, Lan ; HB-03.2

Teng, Eryue ; ME-08.3

Wang, Hailong ; MB-04.3

Thawesaengskulthai, Natcha ; TD-04.2

Wang, Hong ; MB-03.1; MB-03.2

Y

Thukral, Inder ; WB-04.4
Tiwari, Rashi ; ME-04.1

Wang, Hongwei ; MB-03.3; WB-09.2;
WD-06.3

Yamaguchi, Yoshikazu ; TD-09.3

Tobino, Daiki ; ME-09.1

Wang, Kangyou ; ME-06.2

Yamano, Hiroko ; MB-05.2; TE-04.4

Todosow, Michael ; WE-06.2

Wang, Lin ; MB-01.3; WB-06.3

Yamasaki, Ko ; MD-03.3

Tokita, Sayaka ; MD-09.1

Wang, Ling ; HB-03.1

Yamasaki, Kunitoshi ; MD-06.1

Tomidei, Laura ; TB-04.3

Wang, Wenshu ; ME-02.3

Yamazaki, Akira ; TD-09.3

Tomita, Aki ; TD-02.2; TE-02

Wang, Xiaoli ; WB-08.2

Yan, Mengling ; ME-11.3

Tong, Yiming ; WB-09.3

Wang, Yan ; TE-01.2

Yan, Weichun ; WE-05.2

Towata, Yosuke ; MD-05.3

Wang, Yang ; WB-06.1

Yang, Defang ; WD-01.3; WE-04.3

Trepci, Emi ; TE-10.1

Wang, Yangyang ; MD-01.2

Yang, Fangjuan ; HB-03.2

Triukose, Sipat ; TD-04.2

Wang, Yinqiu ; MB-09.3

Yang, Guang ; MB-08.4; WB-08.3

Tsai, Mavis ; WB-09.1

Wang, Zhao ; MB-02.3

Yang, Heyoung ; ME-10.2

Tsujimoto, Masaharu ; TB-01.1; TD-01.2;
WB-01

Wang, Zheng ; TE-10.2

Yang, Meijian ; WB-08.2

Wang, Zongjun ; WD-01.2

Tsutsui, Mariko ; TD-01.1; TE-01

Yang, Weiyu ; WB-09.2

Warschat, Joachim ; TE-06.3

Tu, Yi-Hsien ; MB-02.2; ME-04.3

Yang, Xi ; WE-01.2

Washida, Yuichi ; MB-04.1; MB-04

Ye, Xuanting ; WD-01.3; WE-04.3

Watanabe, Toshiya ; MB-04.2

Yin, Conghui ; WE-04.2

Watanavisit, Sineenat T. ; MB-06.3

Yin, Jingru ; WE-04.3

Watkins, Ian ; WE-04.1

Yoon, Byung Sung ; HD-01
Yoon, Byungun ; TD-06.3

Ullmann, Oliver ; TE-06.3

Weber, Charles ; ME-06.1; ME-06;
TB-04.2; TD-11.2; WB-08; WB-10.2;
WE-08; WE-08.2; WE-08.3; HD-01

Ulusemre, Tolga ; MB-11.2; MB-11.3

Weber, Patrick ; WB-04.1

UUchihira, Naoshi ; MB-07.1; MB-07.2;
MB-07; ME-10.1; WB-06; WB-06.1

Weber, Silvana ; WD-02.2
Wetterney, Tim ; ME-03.2
Wieninger, Simon ; TB-04.1
Wigeland, Roald ; WE-06.2

Xu, Tingni ; MD-04.3

Yoon, Hyenyoung ; WE-08.1
Yoshida, Suzuka ; MB-05.4
Yoshioka-Kobayashi, Tohru ; MB-04.2
Yu, Oliver ; WE-09.3; WE-09
Yu, Xiang ; MB-04.1; WB-05.2; WD-05.2;
WD-05.3; WE-01.2
Yuan, Xiaodong ; WE-05.1
105

Author Index
Yugue, Ricardo T. ; WD-03.3
Yurtseven, Murat K. ; TB-10.1

Z
Zanger, Cornelia ; ME-02.1
Zarefard, Mohammadreza ; TE-01.3
Zelaya, Jader ; ME-10.1
Zeller, Violett ; MB-10.2
Zhang, Haodong ; TD-10.3; TE-10.2
Zhang, Hongtao ; MD-06.3
Zhang, Jian ; WD-01.3; WE-04.3
Zhang, Li ; ME-08.3; WE-01.3
Zhang, Ning ; TE-10.2
Zhang, Pei ; TB-11.3
Zhang, Xiaolei ; ME-06.2
Zhang, Yi ; MD-04.1; TE-04.1; TE-04.3
Zhang, Yueyi ; WE-05.3
Zhang, Zhenwei ; WD-01.3
Zhao, Jixin ; ME-02.4
Zhao, YangYang ; TD-10.2
Zhao, Yu ; WE-01.3
Zheng, Yuelong ; MB-01.3; WB-06.3
Zhou, Lijun ; WE-05.3
Zhou, Lixin ; WB-06.3
Zhou, Xiao ; TE-04.1; TE-04.3
Zhou, Yuan ; MD-10.3
Zhu, Jinwei ; MD-01.2
Zhu, Lijun ; TD-10.3
Zhu, Yihe ; TE-04.1; TE-04.3
Zurita, Jesus ; WB-10

106

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107