bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated SEM-FTOPSIS framework for modeling and prioritization of risk sources in medical device development process
Authors: Kirkire Milind Shrikant , Rane Santosh B. , Singh Surya Prakash 
Published: January 2018

Purpose
The purpose of this paper is to outline and prioritizes risk sources in medical device development (MDD) process using an integrated “structural equation modeling” (SEM) and fuzzy “technique for order performance by similarity to ideal solution (TOPSIS)” framework.

Design/methodology/approach
Risk sources which deter MDD process are explored through literature review. Initial structural model is proposed, factor loadings are determined by exploratory factor analysis and model fit is established by confirmatory factor analysis. Further, the sources are ranked using FTOPSIS, and sensitivity analysis is carried to check robustness of results.

Findings
The sources of risks have catastrophic effect on MDD process. The initial SEM model developed based on survey of experts is found reliable and valid which breaks up the risk sources into three categories – internal sources of risks, user-related sources of risks and third-party-related sources of risks. The risk sources are ranked and prioritized based on perspective of experts from the categories using FTOPSIS; unmet user needs/requirements is found as the most important source of risk. Results of sensitivity analysis confirm that the factors are relatively less sensitive to criteria weights confirming reliability of initial solution.

Research limitations/implications
The proposed methodology combines qualitative and quantative approaches, making it little complex and lengthy, but results in dual confirmation.

Practical implications
The outcomes of this research will be of prime use for MDD industries to mitigate risk sources. It will help to increase the success rate of MDD.

Originality/value
Integrated SEM-FTOPSIS provides a unique and effective structural modeling-based decision support tool. The framework can be effectively utilized in other domains, and failure events of medical devices can be potentially controlled by applying risk mitigation measures.
Prerequisites for performance measurement supporting purchaser-supplier collaboration
Authors: Jääskeläinen Aki , Thitz Otto 
Published: January 2018

Purpose
The purpose of this paper is to clarify the prerequisites for performance measurement supporting purchaser-supplier relationships and value co-creation. It also explains the causes for the limited use of collaborative measurement.

Design/methodology/approach
Four case companies representing different contextual settings are studied. The primary source of empirical material is an interview study addressed to 24 interviewees. The empirical data are analyzed according to the constructs created as a result of the literature review.

Findings
The results reveal that prevailing performance measurement practices represent a more transactional than relationship-oriented approach to purchaser-supplier collaboration. The technical prerequisites for collaborative performance measurement are mostly not fulfilled, inhibiting the use of performance measurement in a collaborative manner. It is proposed that the differentiation between project and process production types has implications on the importance of collaborative performance measurement.

Research limitations/implications
The paper illustrates the desirable characteristics of performance measurement supporting collaboration. It also presents an application of collaborative performance measurement in a single case context. The research reveals the need to develop non-financial performance measures further in order to facilitate the more proactive use of performance measurement supporting true value co-creation between purchaser and supplier companies.

Originality/value
The empirical research on the topic of performance measurement in purchasing and supply management (PSM) is often limited to intra-organizational measurement and highlights transactional approach to collaboration between parties, although PSM research has otherwise acknowledged the importance of value creation and relationships between organizations.
Labor productivity in the construction industry
Authors: Chaturvedi Shobhit , Thakkar Jitesh J. , Shankar Ravi 
Published: January 2018

Purpose
As the construction industry undertakes complex and innovative projects, improving the labor productivity that helps accomplish the triple bottom line dimensions (time, schedule and performance) assumes greater importance. It is of even greater importance in developing countries like India where most of building construction takes place on a manual basis. In response, the purpose of this paper is to develop an evaluation framework for assessing the labor productivity in the construction industry. The application of the framework is demonstrated for the case of the Indian construction industry and key insights are reported.

Design/methodology/approach
The literature review and expert survey has helped to identify 4 main dimensions and 14 different factors affecting labor productivity in the construction industry. An application of Decision-Making Trial and Evaluation Laboratory was deployed to investigate into the causality of labor productivity dimensions.

Findings
The research delivers a quantitative labor productivity assessment framework for evaluating causal relationships among the factors influencing labor productivity in the construction industry. The result obtained for a typical case of the Indian construction industry showed that the safety at construction site has a profound effect on labor-related factors.

Originality/value
The paper makes two contributions in the domain of labor productivity assessment in the construction industry. First, it proposes an evaluation framework to investigate into the causal relationships among the labor productivity factors. This proposed framework is robust and can be used to compare the performance of different construction projects using an integrated approach proposed by this research. Such exploratory analysis would assist benchmarking studies. Second, it undertakes an empirical investigation for the Indian construction industry to develop key managerial insights and extend policy-related recommendations.
Unfamiliar relatives in the service sector
Authors: Hrnciar Miroslav , Madzik Peter , Uram Matej 
Published: January 2018

PurposeThis paper presents an approach by which potential benchmarking partners in the service sector can be matched together more efficiently. The purpose of this paper is to decide which organisations are appropriate partners based on their distinctive characteristics and problems with service management.Design/methodology/approachIn the research presented in this paper, cluster analysis and other statistical analyses were applied to data from a survey of managers in service organisations with the aim of identifying groups of services related to each other in their distinctive characteristics and the problems they face.FindingsThe research found that it is possible to identify hidden “relationships” that allow superficially different services to be grouped together. The identified relationships are based on similarities in the problems which the companies face and their distinctive characteristics. Operating in a different area of activity increases the chance that a service provider will be willing to enter into a partnership and greater potential innovation value from best practice. Cluster analysis was used to identify three groups of services in the research sample which could be benchmarking partners for each other.Research limitations/implicationsThe research studied only a selective group of nine services in different areas of activity. A statistical survey of 388 organisations in one country verified the methodology in terms of statistical significance and the potential for successful identification and adoption of best practice within a group of related services created using the proposed procedure has also been confirmed. The real value of the approach can only be determined by its repeated use to establish benchmarking partnerships and the success of such partnerships, which can be defined as the adoption of innovative best practice.Practical implicationsThe approach described in this paper could make it easier to develop non-competitive benchmarking in the service sector and increase the probability of success in identifying and transferring best practices between organisations in benchmarking partnerships established using it.Originality/valueOne of the first steps in collaborative benchmarking is to establish a partnership with a similar non-competing organisation. The procedure for this step is still not adequately defined. This paper contributes to the theoretical foundations and practical applications of research by setting out an original method for identifying suitable partners in non-competing sectors of the service industries. This will improve the prospects for successful partnership and greater innovativeness in best practice.
Examining effects of internal public relations practices on organizational social capital in the Korean context
Authors: Kim Daewook 
Published: January 2018

PurposeThe purpose of this paper is to explore how internal public relations practices (e.g. internal communication and relationship management strategies) enhance employees’ organizational social capital in the Korean context by examining the mediation roles of employee-organization relationships.Design/methodology/approachThe researcher then recruited 23 field research assistants to collect data from 23 organizations in South Korea. For the purpose of this study, the researcher trained each of the research assistants, kept the confidentiality of each research participant, and used common methods of data collection. After this training process, the research assistants distributed an online link and encouraged employees in 23 organizations to participate in this survey. From these 23 organizations, 287 participants completed the survey. However, the authors had to delete 11 invalid responses. Consequently, the authors used a total of 276 responses to analyze the data.FindingsThe results of this study showed that two-way and symmetrical internal communication strategies were associated positively with employee-organization relationships and organizational social capital. Additionally, satisfaction and control mutuality had mediating effects on the relations between internal communication strategies and organizational social capital.Originality/valueThese results contribute to expanding the functions of internal public relations practices into organizational social capital.
Organizational resources, organizational engagement climate, and employee engagement
Authors: Albrecht Simon , Breidahl Emil , Marty Andrew 
Published: January 2018

PurposeThe majority of job demands-resources (JD-R) research has focused on identifying the job demands, job resources, and personal resources that influence engagement. The purpose of this paper is to assess the significance of proposed associations between organizationally focused resources, organizational engagement climate, and engagement.Design/methodology/approachThe authors tested a model proposing that six specific organizational resources would have positive associations with organizational engagement climate, and positive direct and indirect associations with job resources and employee engagement. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on cross-sectional survey data provided by 1,578 employees working in a range of different organizations.FindingsThe CFA and SEM analyses yielded good fit to the data. As proposed, all six organizational resources were positively associated with organizational engagement climate. Four were positively associated with job resources, and two were positively associated with engagement. Organizational engagement climate was positively associated with job resources and employee engagement. Significant indirect relationships were also observed.Research limitations/implicationsDespite self-reported data and a cross-sectional design, tests of common method variance did not suggest substantive method effects. Overall, the results contribute new insights about what may influence engagement, and highlight the importance of organizational engagement climate as a motivational construct.Practical implicationsThe research offers up potentially useful measures of six organizational resources and a measure of organizational engagement climate that can complement and broaden the current focus on job-level diagnostics. As such, targeted management action and survey feedback processes can be used to identify processes to build sustainable organizational engagement capability.Originality/valueNo previous research has identified a comprehensive set of organizational resources, operationalized organizational engagement climate, or examined their relationships within a JD-R context. The results suggest that the JD-R can perhaps usefully be extended to include more organizationally focused constructs.
The intellectual capital and the learning organization
Authors: Durrah Omar Muhammad , Allil Kamaal Kamel , Alkhalaf Taher 
Published: January 2018

Purpose
The purpose of this paper is to identify the simultaneous effect of the intellectual capital (IC) dimensions (human capital (HC), structural capital (SC), and relational capital (RC)) in enhancing the learning organization (LO) capability, specifically in the health sector.

Design/methodology/approach
A survey data were collected from administrative staff working in a well-known hospital in Paris. In all, 182 observations were used to test the hypotheses. The data were analyzed using multiple regression analysis.

Findings
The results illustrate that only one dimension of IC, namely HC has a positive and significant effect on the LO capability while the other two dimensions namely SC and RC were found to have no significant effect.

Research limitations/implications
The current study highlights the significance of the HC in building and enhancing the LO.

Practical implications
Hospitals’ decision makers should play a more decisive role in the process of attracting, maintaining, and training HR. It also confirms the importance of sustaining a sound work environment that motivates HR for continuous learning.

Originality/value
Few studies have examined the impact of IC on the LO capability in hospitals.
Leading an intergenerational workforce: an integrative conceptual framework
Authors: Guérin-Marion Camille , Manion Ian , Parsons Heather 
Published: January 2018

Purpose
The purpose of this paper is to propose a framework for understanding the particular issues associated with leading an intergenerational workforce. It presents promising strategies in the areas of talent management, decision making and internal communication to maximize the strengths and minimize the potential challenges of such a workforce.

Design/methodology/approach
This conceptual paper blends a review of descriptive research on generational differences and commonalities in work needs and preferences together with practice-based implications for management and organizational leadership.

Findings
A conceptual framework highlights generational issues as both individual- and organizational-level variables to be considered by leaders, and proposes that intergenerational leadership should strive toward achieving a balance between meeting individual and organizational needs. Specific management activities and approaches highlight opportunities for leaders to address generational needs, while paying attention to both commonalities and differences across generations, and create a positive intergenerational work environment.

Originality/value
No clear conceptual framework or model currently exists to help understand and organize the similarities and differences in needs and preferences across generations in a workforce. The paper also offers a series of practical recommendations for organizational leadership based on the proposed framework.
Quality improvement pilot program selection based on dynamic hybrid MCDM approach
Authors: Zhou Fuli , Wang Xu , Samvedi Avinash 
Published: December 2017

Purpose
Driven by motivation of quality enhancement and brand reputation promotion, automotive industries try to improve product quality and customer satisfaction by performing quality pilot programs continuously. The purpose of this paper is to develop a dynamic model to select the improvement quality pilot program from competitive candidates based on dynamic customers’ feedback.

Design/methodology/approach
An extended dynamic multi-criteria decision-making method is developed by embedding dynamic triangular fuzzy weighting average operators into fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, and the novel evaluation indicator “ζ” is introduced to reflect prioritization performance.

Findings
The two evaluation indicators (Q and “ζ” ) assist quality managers to identify the best program with respect to multiple conflicting criteria and the best choice based on these two indexes shows high conformity. Besides, ranking sequences obtained by “ζ” can avoid the dilemma that there are several candidates with top priority calculated by comprehensive group utility value Q.

Practical implications
The dynamic MCDM method has been applied into the quality improvement procedure in Chinese domestic auto factories and contributes to highly efficient promotion.

Originality/value
Few dynamic models on pilot program selection for quality improvement based on dynamic customers’ feedback, this study deals with the dynamic promotion by an extended fuzzy VIKOR method and presents a case application.
Road area detection method based on DBNN for robot navigation using single camera in outdoor environments
Authors: Khalilullah K.M. Ibrahim , Ota Shunsuke , Yasuda Toshiyuki , Jindai Mitsuru 
Published: January 2018

Purpose
The purpose of this study is to develop a cost-effective autonomous wheelchair robot navigation method that assists the aging population.

Design/methodology/approach
Navigation in outdoor environments is still a challenging task for an autonomous mobile robot because of the highly unstructured and different characteristics of outdoor environments. This study examines a complete vision guided real-time approach for robot navigation in urban roads based on drivable road area detection by using deep learning. During navigation, the camera takes a snapshot of the road, and the captured image is then converted into an illuminant invariant image. Subsequently, a deep belief neural network considers this image as an input. It extracts additional discriminative abstract features by using general purpose learning procedure for detection. During obstacle avoidance, the robot measures the distance from the obstacle position by using estimated parameters of the calibrated camera, and it performs navigation by avoiding obstacles.

Findings
The developed method is implemented on a wheelchair robot, and it is verified by navigating the wheelchair robot on different types of urban curve roads. Navigation in real environments indicates that the wheelchair robot can move safely from one place to another. The navigation performance of the developed method and a comparison with laser range finder (LRF)-based methods were demonstrated through experiments.

Originality/value
This study develops a cost-effective navigation method by using a single camera. Additionally, it utilizes the advantages of deep learning techniques for robust classification of the drivable road area. It performs better in terms of navigation when compared to LRF-based methods in LRF-denied environments.
Exploring forward-looking information in integrated reporting
Authors: Menicucci Elisa 
Published: January 2018

Purpose
The purpose of this paper is to investigate the effect of firm characteristics on forward-looking disclosure (forward-looking information (FLI)) within the context of integrated reporting (IR). The study assesses the extent of FLI provided in integrated reports and empirically fills the research gap into the topics of FLI disclosed in the IR.

Design/methodology/approach
A manual content analysis is run to investigate the level and the topics of FLI in 282 integrated reports available in the International Integrated Reporting Council (IIRC) website. A disclosure index composition consisting of 27 information items is developed from the list of content elements comprised in the Integrated Reporting Framework (IIRC, 2013). Three hypotheses are proposed and eight models are tested within a multivariate regression analysis in order to explore the effects of three main variables (firm size, profitability and leverage) on FLI.

Findings
The study confirms that firms are reluctant to provide FLI in integrated reports. The results show that profitability and firm size have a statistically significant relationship with the level of specific topics of FLI. Conversely, leverage is found to be insignificant in explaining the extent of FLI.

Research limitations/implications
To improve the reliability of findings presented in this study, several others may be conducted by inspecting more variables that may affect the extent of FLI or by increasing the number of companies included in the sample.

Practical implications
The results provide comprehensive insights into the current forward-looking disclosure practices of early adopters in integrated reports and can be a useful evidence for preparers of it. This paper has also practical implications especially for managers and regulators (e.g. IIRC) since it encourages further efforts to promote FLI if firms want that the disclosure offered in the IR is perceived as “informative” by their significant stakeholders.

Originality/value
The research adds to the prior disclosure literature concerning FLI since acquired results are ambiguous. There are a very restricted number of studies that have explained the variation of FLI in the light of firm characteristics and no study has analyzed this research topic within the context of IR.