bluuebunny/crossref_metadata_2025_split huggingface dataset:
UAV Testbed Training Platform development using Panda3d
Authors: Annaz Fawaz 
Published: August 2015

Purpose– The paper aims to report the development of an Unmanned Aerial Vehicle (UAV) Testbed Training Platform (TTP). The development is to enable users to safely fly and control the UAV in real time within a limited (yet unconstrained) virtually created environment. Thus, the paper introduces a hardware–virtual environment coupling concept, the Panda3D gaming engine utilization to develop the graphical user interface (GUI) and the 3D-flying environment, as well as the interfacing electronics that enables tracking, monitoring and mapping of real-time movement onto the virtual domain and vice verse.Design/methodology/approach– The platform comprises a spring-shuttle assembly fixed to a heavy aluminium base. The spring supports a rotating platform (RP), which is intended to support UAVs. The RP yaw, pitch and roll are measured by an inertial measurement unit, its climb/descend is measured by a low cost infrared proximity sensor and its rotation is measured by a rotary optical encoder. The hardware is coupled to a virtual environment (VE), which was developed using the Panda3D gaming engine. The VE includes a GUI to generate, edit, load and save real-life environments. Hardware manoeuvres are reflected into the VE.Findings– The prototype was proven effective in dynamically mapping and tracking the rotating platform movements in the virtual environment. This should not be confused with the hardware in loop approach, which requires the inclusion of a mathematical model of the hardware in a loop. The finding will provide future means of testing navigation and tracking algorithms.Research limitations/implications– The work is still new, and there is great room for improvement in many aspects. Here, this paper reports the concept and its technical implementation only.Practical implications– In the literature, various testbeds were reported, and it is felt that there is still room to come up with a better design that enables UAV flying in safer and unlimited environments. This has many practical implications, particularly in testing control and navigation algorithms in hazardous fields.Social implications– The main social impact is to utilise the concept to develop systems that are capable of autonomous rescue mission navigation in disaster zones.Originality/value– The authors are aware that various researchers have developed various testbeds, at different degrees of freedom. Similarly, the authors are also aware that researchers have used game engines to simulate mobile robots or sophisticated equipment (like the VICON Motion Capture System) to measure to perform complex manoeuvres. However, the cost of this kind of equipment is very high, autonomous movements are planned in restricted environments and tested systems are only autonomous in certain setups. However, the idea of mapping the dynamics of an avatar flying object onto a 3D-VE is novel. To improve productivity and rapid prototyping, this paper proposes the use of commercially available game engines, such as the Panda3D, to create virtual environments.
Sensors for robotic perception. Part one: human interaction and intentions
Authors: Bogue Robert 
Published: August 2015

Purpose
– The purpose of this two-part paper is to illustrate how sensors impart robots with perceptive capabilities. This first part considers robots that interact with humans and which seek to mimic human intentions.

Design/methodology/approach
– Following a short introduction, this paper first discusses the sensors used in robotic prosthetics. It then considers sensor applications in recently developed service, companion and assistive robots. The final section concerns the sensors used in collaborative robots, followed by brief concluding comments.

Findings
– This shows that sensors play a vital role in imparting perceptive capabilities to robots which interact with people. They can interpret human intentions, control prosthetic limbs, monitor and map a robot’s environment, assist with navigation, ensure the safety of co-workers and even detect a person’s emotional state. They are based on a diversity of principles and technologies, including microelectromechanical system (MEMS)-based sensors for physical variables, myographic electrodes and electroencephalogram (EEG) sensors, lasers, infra-red and sonar systems and sophisticated cameras and imaging systems.

Originality/value
– This provides a timely account of how sensors confer perceptive capabilities to the growing number of robots which interact directly with people.
The Pransky interview: Dr Yulun Wang, Founder and CEO of InTouch Health
Authors: Pransky Joanne 
Published: August 2015

Purpose
– The following paper is a “Q
&
A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market.

Design/methodology/approach
– The interviewee is Dr Yulun Wang, an inventor, self-taught entrepreneur, business leader and world-renowned authority on robotics and health care. Dr Wang shares his successful three-decade journey that began with researching the market needs and aligning himself with medical experts, followed by pioneering robotic solutions specifically for the health care industry. In the process, Dr Wang founded and spearheaded both a public and private robotics company.

Findings
– Dr Yulun Wang received a BSc and an MSc in Computer Science, and a PhD in Electrical Engineering, from the University of California, Santa Barbara (UCSB). After teaching at UCSB for a few years, with a grant he won from NASA, Dr Wang founded Computer Motion, Inc. in 1989 and conducted research on endoscopic robots. Computer Motion went public in 1997 and later merged with its competitor, Intuitive Surgical (NASDAQ:IRSG) in 2003 to forge the multi-billion dollar surgical robotics industry. Dr Wang founded InTouch Technologies (d.b.a. InTouch Health), in 2002, named one of the fastest-growing biomedical companies in the USA by INC Magazine.

Originality/value
– Dr Wang launched his career at the intersection of health care and technology with his invention of the voice-controlled robotic arm AESOP, the first US Food and Drug Administration (FDA)-cleared surgical robot. His next generation ZEUS robotic surgical system (ZRSS), was cleared by the FDA in 2001. Also in 2001, ZRSS was used in the world’s first telesurgery, as surgeons in New York controlled the arms of the Zeus to perform a cholecystectomy on a patient in Strasbourg, France, via a high-speed fiber optic supplied by France Telecom. This led Dr Wang to found InTouch Health, a company that pioneers remote presence robot systems that enable health care professionals to provide more effective and efficient health care. Dr Wang has received multiple other entrepreneurship and leadership awards, including being elected to the prestigious ranks of the National Academy of Engineering in 2011. He is the author of over 50 scientific publications, and holds over 100 patents registered in his name. Dr Wang serves on several boards, including the American Telemedicine Association (ATA) Board of Directors, where he also serves as an officer.
The Western brands in the minds of Vietnamese consumers
Authors: Pham Hai Chung , Richards Barry 
Published: August 2015

Purpose– This paper aims to explore the complexity and dynamics in the process of negotiation and re-negotiation of brand associations within a Vietnamese cultural context, focusing on the identity construction created through local consumption preferences. t It explores how Western brands are symbolically important in Vietnamese consumers’ self-image.Design/methodology/approach– A total of 600 Vietnamese youth between 18 and 35 years living in Hanoi and Ho Chi Minh City completed the survey. A projective technique (storytelling) was applied to elicit the hidden thoughts and motivations among respondents.Findings– Vietnamese consumers increasingly attach themselves to certain brands to affirm their desired identity. They believe in “material goods bring happiness”. The symbolic meanings of brands (which we describe around six themes) become very important in their patterns of consumption in shaping their lived experience and the way they want to communicate their self-images.Practical implications– The paper’s insights can be of value to marketing and advertising professionals and to those with responsibility for consumer regulation in emerging markets.Social implications– The paper contributes to our understanding of how socio-political tensions are played out and managed in consumer culture and identifies particular contradictions which may drive future changes.Originality/value– The paper reports on a study which uses a neglected method to provide the latest data on consumer culture in Vietnam and links features of consumption-based identity to the specific Vietnamese historical, political, economic and socio-cultural context.
Technological strategy, open innovation and innovation performance: evidences on the basis of a structural-equation-model approach
Authors: Aloini Davide , Pellegrini Luisa , Lazzarotti Valentina , Manzini Raffaella 
Published: August 2015

Purpose– The purpose of this study is to shed further light on determinants of the openness degree to give a more conclusive evidence to the research in the field. In particular, the influence exerted by the technological strategy is still debated, in that evidence on the relationship between the technological strategy and openness is conflicting.Design/methodology/approach– The authors put forward a structural equation model which enriches the state-of-the-art literature by explicitly testing the interplay among technological strategy, openness (innovatively measured in terms of partner intensity, phase intensity and variety in terms of partners, phases and contents) and innovation performance. Our study relies on data from 415 firms based on a research survey developed in Finland, Italy and Sweden.Findings– Findings show that openness, if measured in terms of partner intensity and phase intensity, fully mediates the relationship between technological strategy and innovation performance, by suggesting that the effectiveness of a firm’s technologically aggressive behavior is strongly related to the intensification of collaboration with the partners along the innovation funnel. Conversely, openness variety seems to play an opposite role and is influenced differently by partner and phase intensity. This result likely emphasizes how the cost-side of open behavior becomes harder to manage, and thus costly, when it involves too many different types of partners, phases and contents.Practical implications– Firms that adopt a technologically aggressive strategy are recommended to deeply open their innovation process to foster innovation performance. However, because of the fact that a high level of openness variety could generate some drawbacks, managers should be very careful in the management of different phases, sources and content. Therefore, what clearly emerges is a call to find adequate strategies for effectively managing the collaboration process to avoid the waste of resources and initiatives.Originality/value– Originality and the value of the paper reside in a more fine-grained definition of the openness concept, which takes into consideration other facets of openness compared to those usually analyzed in the literature, and a powerful statistical model, such as structural equation modeling, offering great advantages and flexibility in matching the theoretical model with the data.
The boundaries of a performance management system between learning and control
Authors: Canonico Paolo , De Nito Ernesto , Esposito Vincenza , Martinez Marcello , Mercurio Lorenzo , Pezzillo iacono Mario 
Published: August 2015

Purpose
– This paper aims to consider how and to what extent it is possible to interpret a performance management system (PMS) as a typical control mechanism or in a more innovative way as a learning tool. PMSs are typically used for planning and coordination purposes. However, they may also be used as an opportunity to foster learning inside the organization.

Design/methodology/approach
– The empirical analysis was carried out during January-May 2014. A single case study was developed, in the first phase, through document analysis and semi-structured interviews with three top managers, to investigate the purpose and rationale of the design of the PMS. The investigation then continued with non-participant observation.

Findings
– The picture shows the dominance of “command and control” thinking, based on a cybernetic control system connected to targets and linking the achievement of these targets to individual performance.

Practical implications
– This paper helps to contextualize reflections on PMSs and potential learning outcomes in knowledge organizations, with specific reference to the airport industry.

Originality/value
– This paper contributes to the extant debate on the relationship between PMSs and learning. Traditionally, the literature has focused only on particular aspects of PMSs. Other authors, relying on a contingent approach, have instead put forward the need of a more comprehensive and integrated frameworks encompassing organic conception of PMSs, as well as of the interdependencies among their components. In the case study under scrutiny in this paper, adaptive or single-loop learning is taking place, in which adaptive changes occur but do not lead to any major changes.
Determinants of adoption of mobile health services
Authors: Lee Euehun , Han Semi 
Published: August 2015

Purpose
– The purpose of this paper is to explore the mobile health adoption behaviour of potential adopters and to provide guidelines for mobile health success. This study applied both health behaviour and consumer value research and developed an integrated research model to encourage mobile health adoption.

Design/methodology/approach
– The authors contacted about 1,800 potential respondents living in Seoul, Korea. The authors used stratified sampling to choose sampling areas and quota sampling to select the final sampling unit. A total of 550 interviews were conducted, and the data were analysed using a structural equation modelling technique with linear structural relations.

Findings
– The results demonstrate that usefulness, convenience and monetary values of mobile health positively influence adoption intention. Convenience and monetary values are strongly perceived by individuals who have experienced illness, but the effect of illness experiences on the usefulness value is insignificant. Gender, age and income do not influence adoption intention.

Originality/value
– There is no research yet studies mobile health adoption behaviour in the integrated view of consumer value and the health service research. This integrated adoption model of mobile health can be a response of the calls to develop the mobile health adoption model adapted to the health context and to identify added predictors of the mobile health adoption.
How to conduct a multi-item research assessment in bibliometric studies? Theoretical support and empirical evidence
Authors: Liao Chien Hsiang 
Published: August 2015

Purpose– The purpose of this paper is to enrich the understanding of how to form a multi-item assessment and what approaches can be applied for researchers.Design/methodology/approach– This study proposes three ways to form a multi-item assessment (i.e. separate, formative and reflective approaches) and further makes a comparison between these three approaches.Findings– The results show that multi-item assessment, particularly for formative and reflective constructs, has greater explanatory power in the research model. Finally, this study provides a roadmap to guide future researchers’ decision strategy for selecting multi-item assessments.Originality/value– Due to the multi-faceted nature of research, using a single indicator to judge a scholar’s research performance will never reveal a multi-faceted picture and can easily result in measurement bias. In this vein, researchers should use different evaluation approaches and indicators to address various forms of research outcomes. However, prior studies rarely adopt multi-item scales to evaluate research performance and seldom discuss how to build a composite construct of research performance. This study aims to fill this research gap in the literature.
How readers’ perceived self-congruity and functional congruity affect bloggers’ informational influence
Authors: Wang Shih-Ju , Hsu Chiu-Ping , Huang Heng-Chiang , Chen Chia-Lin 
Published: August 2015

Purpose
– The purpose of this paper is to treat bloggers as human brands and applies self-congruity theory to explore how actual and ideal blogger-reader self-congruity, combined with the blog’s functional congruity, influences blogger-reader relationship quality (BRRQ) and the blogger’s informational influence, taking perceived interactivity among blog members as a moderator.

Design/methodology/approach
– Using a survey of 372 female beauty blog readers, this study employs the structural equation modelling approach to investigate the proposed model.

Findings
– The empirical findings indicate that readers’ perceived self-congruity with beauty bloggers raises the bloggers’ informational influence, mediated by BRRQ and functional congruity. Actual self-congruity has greater predictive power than ideal self-congruity in explaining bloggers’ informational influence. Moreover, perceived interactivity plays a two-sided role because it strengthens the positive impact of BRRQ on informational influence but weakens the positive impact of functional congruity on informational influence.

Practical implications
– The findings should help marketers identify influential beauty bloggers through their presented image on their blogs to encourage readers’ acceptance of their opinions about products and services. However, when focusing on beauty blogs featuring high-perceived interactivity among blog members, marketers should carefully balance the facilitating and offsetting effect of perceived interactivity and identify bloggers equipped with superior BRRQ.

Originality/value
– Using human brand and parasocial interaction perspectives, this study contributes to emerging research on human brands and blog marketing and demonstrates that perceived interactivity is a double-edged sword in stimulating a blogger’s informational influence.
Disciplinary differences in the use of academic social networking sites
Authors: Ortega José Luis 
Published: August 2015

Purpose– The purpose of this paper is to detect and describe disciplinary differences in the users and use of several social networking sites by scientists.Design/methodology/approach– Consejo Superior de Investigaciones Científicas (CSIC) (Spanish National Research Council) researchers registered in the most currently relevant academic social network sites (Google Scholar Citations, Academia.edu, ResearchGate (RG) and Mendeley) were analysed. In total, 6,132 profiles were classified according the eight research areas of the CSIC.Findings– Results show that Academia.edu is massively populated by humanists and social scientists, while RG is popular among biologists. Disciplinary differences are observed across every platform. Thus, scientists from the humanities and social sciences and natural resources show a significant activity contacting other members. On the contrary, biologists are more passive using social tools.Originality/value– This is the first study that analyses the disciplinary performance of a same sample of researchers on a varied number of academic social sites, comparing their numbers across web sites.
Effects of social capital on online knowledge sharing: positive and negative perspectives
Authors: Hsu Chiu-Ping 
Published: August 2015

Purpose– The purpose of this paper is to present a conceptual model of how both the benefits and risks of social capital influence online knowledge sharing among virtual community members towards enhancing members’ relationship continuity and virtual community reputations. In addition, this study addresses the effects of complementary resources on knowledge sharing.Design/methodology/approach– The structural equation modelling approach was applied to estimate the conceptual model by using survey data from virtual community members. A total of 626 valid questionnaires were collected.Findings– The empirical results showed that most of the research hypotheses were supported. The benefits of social capital and complementary resources have a positive effect on knowledge sharing, thereby strengthening relationship continuity and community reputation. Furthermore, the risk of social capital has a negative effect on knowledge sharing, as expected.Originality/value– A review of the literature reveals a lack of studies focusing on both the positive and negative influences of social capital on online knowledge sharing. This study therefore contributes to a comprehensive perspective for understanding online knowledge sharing in virtual communities.
Modified chart with optimized ARLs in autocorrelated processes
Authors: Prajapati D. R. , Singh Sukhraj 
Published: August 2015

Purpose
– The purpose of this paper is to counter autocorrelation by designing the chart, using warning limits. Various optimal schemes of modified chart are proposed for various sample sizes (n) at levels of correlation (Φ) of 0.00, 0.475 and 0.95. These optimal schemes of modified chart are compared with the double sampling (DS) chart, suggested by Costa and Claro (2008).

Design/methodology/approach
– The performance of the chart is measured in terms of the average run length (ARL) that is the average number of samples before getting an out-of-control signal. Ultimately, due to the effect of autocorrelation among the data, the performance of the chart is suspected. The ARLs at various sets of parameters of the chart are computed by simulation, using MATLAB. The suggested optimal schemes are simpler schemes with limited number of parameters and smaller sample size (n=4) and this simplicity makes them very helpful in quality control.

Findings
– The suggested optimal schemes of modified chart are compared with the DS chart, suggested by Costa and Claro (2008). It is concluded that the modified chart outperforms the DS chart at various levels of correlation (Φ) and shifts in the process mean. The simplicity in the design of modified chart, makes it versatile for many industries.

Research limitations/implications
– Both the schemes are optimized by assuming the normal distribution. But this assumption may also be relaxed to design theses schemes for autocorrelated data. The optimal schemes for chart can be developed for variable sample size and for variable sampling intervals. The optimal schemes can also be explored for cumulative sum and exponentially weighted moving average charts.

Practical implications
– The correlation among the process outputs of any industry can be find out and corresponding to that level of correlation the suggested control chart parameters can be applied. The understandable and robust design of modified chart makes it usable for industrial quality control.

Social implications
– The rejection level of products in the industries can be reduced by designing the better control chart schemes which will also reduce the loss to the society, as suggested by Taguchi (1985).

Originality/value
– Although it is the extension of previous work but it can be applied to various manufacturing industries as well as service industries, where the data are positively correlated and normally distributed.