bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collaborative innovation: catalyst for a destination’s event success
Authors: Schofield Peter , Crowther Phil , Jago Leo , Heeley John , Taylor Scott 
Published: June 2018

Purpose
This paper aims to contribute to theory concerning collaborative innovation through stakeholder engagement with reference to Glasgow City Marketing Bureau’s (GCMB’s) management strategies, which represent UK best practice in events procurement, leveraging and destination branding.

Design/methodology/approach
The research adopts a case study design to facilitate an in-depth evaluation of the destination marketing organisation’s (DMO’s) critical success factors. Multiple perspectives on GCMB’s collaborative innovation are achieved through semi-structured interviews with senior managers from the bureau, key stakeholders and other DMOs.

Findings
GCMB’s success results from long-term, extensive, collaborative engagement, a unique institutional structure and sustained political and financial support through to transformational leadership, strategic event selection and targeted marketing through “earned” distribution channels.

Research limitations/implications
The study takes a single case study approach and focusses on GCMB’s event-led branding strategy. Given the importance but relative neglect of long-term inter-personal relationships in collaborative innovation, future research should focus on the development of social capital and adopt a longitudinal perspective.

Practical implications
The paper provides insights into the collaborative innovation process with a range of stakeholders, which underpins GCMB’s events strategy and its leveraging of the city brand. In particular, the study highlights the need for entrepreneurial leadership and the development of long-term relationships for effective engagement with stakeholders.

Originality/value
Previous research has focussed on outcomes and neglected pre-requisites and the process of collaborative innovation between destination stakeholders. This study examines this issue from the perspective of a successful DMO and presents a conceptual framework and new engagement dimensions that address this gap in knowledge.
Over- and under-estimation of risks and counteractive adjustment for cold chain operations
Authors: Guo Shin-Ming , Wu Tienhua , Chen Yenming J. 
Published: June 2018

Purpose
This study proposes the use of cumulative prospect theory (CPT) to predict over- and under-estimation of risks and the counteractive adjustment in a cold chain context. In particular, the purpose of this paper is to address the importance of the socio-demographic characteristics of an individual in influencing risk attitude and the analysis of measurable risk probability.

Design/methodology/approach
This study uses CPT as the basis to develop a decision analysis model in which the two functions of value editing and probability weighting are nonlinear to adequately determine the flexible risk attitudes of individuals, as well as their prospects with numerous outcomes and different probabilities. An experiment was conducted to obtain empirical predictions, and an efficient Markov Chain Monte Carlo algorithm was applied to overcome the nonlinearity and dimensionality in the process of parameter estimation.

Findings
The respondents overweigh the minor cold chain risks with small probabilities and behave in a risk-averse manner, while underweighting major events with larger ones, thereby leading to risk-seeking behavior. Judgment distortion regarding probability was observed under risk decision with a low probability and a high impact. Moreover, the findings indicate that factors, such as gender, job familiarity and confidentiality significantly influence the risk attitudes and subjective probability weighting of the respondents.

Research limitations/implications
The findings fit the framework of CPT and extend this theory to deal with human risk attitudes and subjective bias in cold chains. In particular, this study enhances the literature by providing an analysis of cold chain risk from both the human decision-making and managerial perspectives. Moreover, this research determined the importance of the socio-demographic characteristics of an individual to explain the variability in risk attitudes and responses.

Practical implications
Managers must consider the issues of flexible risk attitude and subjective judgment when making choices for risk mitigation strategies. Given the focus on counteractive adjustment for over- and under-estimated risk, firms could evaluate cold chain risk more accurately, and thereby enhance their resilience to risky events while reducing the variability of their performance.

Originality/value
The current study is the first to materialize the phenomena of over- and under-estimation of cold chain risks, as well as to emphasize the different characteristics for loss aversion and judgment distortion at the individual level.
Integrated behavioral health care for Karen refugees: a qualitative exploration of active ingredients
Authors: Esala Jennifer J. , Hudak Leora , Eaton Alyce , Vukovich Maria 
Published: June 2018

Purpose
The purpose of this paper is to explore the “active ingredients” of integrated behavioral health care (IBHC) from the perspective of Karen refugee participants in an IBHC intervention.

Design/methodology/approach
This paper is based on in-depth, semi-structured interviews with participants (n=40) who have received an IBHC intervention for one year. These qualitative data are supplemented by descriptive quantitative data from those same participants.

Findings
This research suggested that IBHC increased awareness and access to behavioral health services, and that IBHC may be especially amenable to treating complex health conditions. The research also found that IBHC provided a point of regular contact for patients who had limited time with their primary care providers, which helped to enhance access to and engagement with health care.

Practical implications
IBHC has the potential to meet the complex needs of Karen resettled refugees living in an urban setting in the USA.

Originality/value
IBHC is a promising approach to help meet the mental health needs of refugees in the USA. There are, however, gaps in knowledge about the “active ingredients” of IBHC. This paper helps fill these gaps by studying how IBHC works from the perspective of a group of Karen refugees; these are critical perspectives, missing in the literature, which must be heard in order to better address the complex conditions and needs of resettled refugees.
The Pransky interview – Martin Haegele, Head of Department Robotics and Assistive Systems, Fraunhofer IPA
Authors: Pransky Joanne 
Published: June 2018

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 successful innovator and leader, regarding the challenges of bringing technological discoveries to fruition. This paper aims to discuss these issues.

Design/methodology/approach
The interviewee is Martin Haegele, a renowned expert in industrial and service robot applications, technologies and markets. He is Division Director “Intelligent Automation and Clean Manufacturing” and Head of the department “Robot and Assistive Systems” at the Fraunhofer Institute for Manufacturing Engineering and Automation (Fraunhofer IPA). In this interview, Haegele details some of the robotics projects he led and provides his outlook on the European robotics industry.

Findings
Haegele received a Dipl.-Ing. in Mechanical Engineering from the University of Stuttgart in 1989 and a Master of Science in Mechanical Engineering from George Washington University, Washington DC in 1989. Haegele has led the Robot Systems Department at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA in Stuttgart, Germany since 1993, and is a member of the Fraunhofer IPA Board.

Originality/value
Inspired by the book Robotics in Service written by Joseph Engelberger in 1989, Haegele spearheaded ground-breaking applications in the service robot industry. He led a German study on the market potentials and challenges of service robots. He was the project leader and supervisor of numerous service robot developments including a fuel-refilling robot resulting in a fully operational gas station and several generations of mobile robots developed for museums, shopping centers and home applications. Haegele coordinated many publicly funded research projects to develop robot technologies for industrial and service applications. He was coordinator of two large-scale European initiatives (SMErobot and SMErobotics) for the creation of technologies and a new family of robots suitable for small and medium-sized enterprises. He has published more than 80 papers and book chapters and holds four patents. He is a 2007 recipient of the prestigious Joseph Engelberger Award. Furthermore, Haegele is active in the International Federation of Robotics and the euRobotics association.
Vision-assisted robotic welding
Authors: Bogue Robert 
Published: June 2018

Purpose
This paper aims to provide details of vision-assisted robotic welding technologies and their applications.

Design/methodology/approach
Following a short introduction, this paper first considers the background of vision-assisted robotic welding, the functions of the vision systems and the scenarios where the technology is of benefit. The main section provides examples of vision-assisted welding applications, together with details of the systems and products employed. Finally, brief concluding comments are drawn.

Findings
This shows that modern machine vision technologies, often based on lasers, can allow robotic welding systems to compensate for dimensional variations and errors, eliminate the need for complex and costly welding fixtures and act as an alternative to skilled human welders. This technology allows robotic automation to be deployed in welding applications where it was hitherto impossible, technically difficult or not cost-effective.

Originality/value
By considering a section of applications, this paper provides an insight into how machine vision technologies can enhance the capabilities of robotic welding systems.
A robotic boring system for intersection holes in aircraft assembly
Authors: Guo Yingjie , Dong HuiYue , Wang Guifeng , Ke Yinglin 
Published: June 2018

Purpose
The purpose of this paper is to introduce a robotic boring system for intersection holes in aircraft assembly. The system is designed to improve the boring quality and position accuracy of the intersection holes.

Design/methodology/approach
To improve the boring quality of intersection holes, a robot posture optimization model is established. The target of the model is to maximize the robot stiffness and the variate is location of the robot on the guideway. The model is solved by the iterative IKP algorithm based on the Jacobian matrix. To improve the position accuracy of intersection holes, a robot positioning accuracy compensation method is introduced. In the method, a laser tracker is used to measure the actual position and orientation of the boring bar. Combined with the desired position and orientation, the error can be obtained and compensated.

Findings
In practical case of the robotic boring system, the robot stiffness is effectively improved and the surface roughness of intersection holes achieves a grade of Ra0.8. Besides, the robot end achieves a position accuracy of 0.05 mm and an orientation accuracy of 0.05°.

Practical implications
The robotic boring system has been applied successfully in one of the aircraft assembly projects in northwest China.

Originality/value
The robotic boring system can be applied for machining intersection holes in an aircraft assembly. With the robot posture optimization method and accuracy compensation method, the boring quality and position accuracy of the intersection holes can be guaranteed.
An optimized artificial neural network for human-force estimation: consequences for rehabilitation robotics
Authors: Khoshdel Vahab , Akbarzadeh Alireza 
Published: June 2018

PurposeThis paper aims to present an application of design of experiments techniques to determine the optimized parameters of artificial neural networks (ANNs), which are used to estimate human force from Electromyogram (sEMG) signals for rehabilitation robotics. Physiotherapists believe, to make a precise therapeutic exercise, we need to design and perform therapeutic exercise base on patient muscle activity. Therefore, sEMG signals are the best tool for using in therapeutic robots because they are related to the muscle activity. Using sEMG signals as input for therapeutic robots need precise human force estimation from sEMG. Furthermore, the ANN estimator performance is highly dependent on the accuracy of the target date and setting parameters.Design/methodology/approachIn the previous studies, the force data, which are collected from the force sensors or dynameters, has widely been used as target data in the training phase of learning ANN. However, force sensors or dynameters could measure only contact force. Therefore, the authors consider the contact force, limb’s dynamic and time in target data to increase the accuracy of target data.FindingsThere are plenty of algorithms that are used to obtain optimal ANN settings. However, to the best of our knowledge, they do not use regression analysis to model the effect of each parameter, as well as present the contribution percentage and significance level of the ANN parameters for force estimation.Originality/valueIn this paper, a new model to estimate the force from sEMG signals is presented. In this method, the sum of the limb’s dynamics and the contact force is used as target data in the training phase. To determine the limb’s dynamics, the patient’s body and the rehabilitation robot are modeled in OpenSim. Furthermore, in this paper, sEMG experimental data are collected and the ANN parameters based on an orthogonal array design table are regulated to train the ANN. Taguchi is used to find the optimal parameters settings. Next, analysis of variance technique is used to obtain significance level, as well as contribution percentage of each parameter, to optimize ANN’s modeling in human force estimation. The results indicate that the presented model can precisely estimate human force from sEMG signals.
Force sensing drill jig for robotic assisted drilling
Authors: Bendemra Hamza , Al Khawli Toufik , Anwar Muddasar , Swart Dewald , Stefanini Cesare 
Published: June 2018

Purpose
The purpose of this paper is to present a novel force sensing jig for robot-assisted drilling used to drill holes for the fastening of floating nut plates in aircraft assembly.

Design/methodology/approach
The paper describes the drill jig, which consists of a parallel gripper, peg-in-hole pins and a back-plate with a recess where a Polydimethylsiloxane cone is placed on top of a force sensor. As the jig approaches the part, the force sensor registers the applied force until it reaches steady state, which indicates full contact between the jig and the part. The peg-in-hole pins then lock into a pre-existing hole, which provides a mechanical reference, and the support plate provides back support during drilling.

Findings
Positional accuracy and the repeatability of the system were successfully placed within the specification for accuracy and repeatability (0.1 mm tolerance and 0.2 mm tolerance, respectively).

Practical implications
The drill jig can be integrated into existing robot drilling solutions and modified for specific applications. The integration of the force sensor provides data for engineers to monitor and analyze forces during drilling. The design of the force sensing drill jig is particularly suited to industrial prototype robot drilling end-effectors for small and medium manufacturers.

Originality/value
The key novelties of this drilling jig are in the compact assembly, modular design and inclusion of force sensing and back support features.
Trainers’ responses to errors matter in trainees’ learning from errors: evidence from two studies
Authors: Zhao Bin , Seifried Jürgen , Sieweke Jost 
Published: June 2018

Purpose
Learning from errors is important for employees, particularly at early stages of their career. The purpose of this paper is to examine the influence of perceived trainer responses to errors on trainee learning from errors in a workplace setting. In Study 1, the authors test a model that examines the associations between perceived trainer responses to errors and trainee learning from errors, which are mediated by affective-motivational adaptivity. In Study 2, the authors further hypothesize that the link between perceived trainer responses and affective-motivational adaptivity is moderated by perceived error climate.

Design/methodology/approach
The authors test the hypotheses using data from 213 Swiss apprentices (Study 1) and 1,012 German apprentices (Study 2) receiving dual vocational training.

Findings
Study 1 suggests that negative trainer reaction impedes trainee learning from errors by impairing trainees’ affective-motivational adaptability. Trainer tolerance of errors and trainer support following errors were not related to trainee learning from errors. Study 2 indicates that perceived error climate is an important boundary condition that affects the relationship between trainer responses and trainee learning from errors.

Originality/value
This study contributes to research on learning from errors in three ways. First, it enriches the understanding regarding the role of trainers in enhancing learning from errors in organizations. Second, it extends research on learning from errors by investigating the interaction effects between perceived trainer responses and error climate. Third, it refines knowledge about the role of positive affect in learning from errors. Findings of this study also offer practical insights to trainers and managers regarding what they should do to encourage trainee learning from errors.
Emotional intelligence and authentic leadership: a meta-analysis
Authors: Miao Chao , Humphrey Ronald H. , Qian Shanshan 
Published: June 2018

Purpose
Authentic leadership is a popular leadership construct that stimulates considerable scholarly interest and has received substantial attention from practitioners. Among different individual difference variables, there has been a growing interest in studying the connection between emotional intelligence (EI) and authentic leadership; nevertheless, most of the existing literature on this relation was atheoretical and the results for this relation were mixed. Thus, the purpose of this paper is to clarify the relation between EI and authentic leadership.

Design/methodology/approach
A meta-analysis was conducted to examine the relation between EI and authentic leadership and the moderators that affect this relation.

Findings
The results of the present study indicated that: EI is significantly and positively related to authentic leadership (overall EI:

ρ
¯

ˆ

=
0.49

; ability EI:

ρ
¯

ˆ

=
0.08

; self-report EI:

ρ
¯

ˆ

=
0.52

; mixed EI:

ρ
¯

ˆ

=
0.49

); self-report EI and mixed EI have larger associations with authentic leadership than ability EI has; and the relation between EI and authentic leadership does not differ between male-dominated and female-dominated studies.

Originality/value
The present study couches the relation between EI and authentic leadership in theories and identifies important moderators for this relation which explain the heterogeneity in effect sizes for this relation across studies.
Accounting for environmental costs as an instrument of environmental controlling in the company
Authors: Taygashinova Kusnikamal , Akhmetova Alfiya 
Published: June 2018

Purpose
The purpose of this paper is study the peculiarities of environmental controlling in the context of the implementation of the sustainable development strategy and the systematization of methods, functions and tools, as well as consideration of the possibility of applying environmental controlling methods in the organization through the consideration of environmental costs.

Design/methodology/approach
The authors solved the following problems. The authors defined the essence of the concept of “environmental controlling;” conducted an analysis of methods, functions and instruments of environmental controlling; investigated the possibility of accounting for environmental costs as an instrument of environmental controlling; and systematized approaches of using the tool of accounting for environmental costs at enterprises.

Findings
The approaches to accounting for environmental costs differ in the degree of integration into the existing accounting system and in the frequency of accounts handling (one-time or regular). One-time solutions to accounting for environmental costs (e.g. environmental design calculations) are calculations conducted independently of traditional accounting. Their advantage lies in the fact that they can be formed and used without affecting the existing cost accounting system. However, they generate additional costs and generally receive less recognition than integrated solutions. Accounting for environmental costs is an integrated part of the existing and regularly conducted accounting system.

Research limitations/implications
Accounting of environmental costs has broad prospects for use in enterprises as an environmental controlling instrument for the improvement of management efficiency and quality.

Originality/value
Accounting for environmental costs is necessary as an instrument of environmental controlling in order to obtain information on the enterprise interdependencies between costs, revenues, consumption of raw materials and energy as well as environmental protection measures. In addition, the consideration of environmental costs can serve companies as a source for the identification of the potential to reduce the cost of output products.
Organizational change in a scenario of political upheaval and economic crisis: a Brazilian case
Authors: Juliboni Marcela Chacur , Garibaldi de Hilal Adriana Victoria 
Published: June 2018

PurposeThis paper aims to enhance the understanding of organizational change (OC) and the main critical factors to change.Design/methodology/approachA single case study was conducted in a large company with operations in Brazil by means of 21 in-depth interviews. A qualitative perspective was applied to scrutinize the data collected.FindingsMain critical factors, such as commitment and trust, represent pieces of a puzzle that, when put together in a constructive way, draw a path to successful implementation of a change initiative. On the one hand, a country crisis poses as an obstacle to build change initiative credibility. On the other hand, an economic downturn may represent a retention mechanism. This study allowed the authors to draw a diagram with four groups of people based on their engagement with the organization change initiatives and on their seniority. In brief, the company is in a vicious circle. It is prisoner of a negative loop that causes a destructive effect in the change process, and it does not allow them to think out of the box and explore creative alternatives to face the company challenges.Research limitations/implicationsThe research presents a few limitations regarding the chosen method and, also, country and company scenario where the research took place.Practical implicationsThe results have implications for human resources development (HRD) scholars and practitioners in the planning and implementation of OC-related initiatives.Originality/valueThis paper contributes to OC literature and practitioners by showing the importance of credibility in change initiatives to achieve their successful implementation. This study also supports the strong relationship among main critical factors to change. Finally, the company is locked in a negative loop that stifles the successive attempts to successfully implement the change initiatives.