Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Evaluating weapon systems using ranking fuzzy numbers
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy hierarchical analysis: the Lambda-Max method
Fuzzy Sets and Systems - Special issue on clustering and learning
Beliefs and attitudes affecting intentions to share information in an organizational setting
Information and Management
Prioritization of human capital measurement indicators using fuzzy AHP
Expert Systems with Applications: An International Journal
Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions
Journal of Information Science
A stage model of knowledge management: an empirical investigation of process and effectiveness
Journal of Information Science
Organizational Readiness for Successful Knowledge Sharing: Challenges for Public Sector Managers
Information Resources Management Journal
A TFN-ANP based approach to evaluate Virtual Research Center comprehensive performance
Expert Systems with Applications: An International Journal
A novel hybrid evaluation approach of knowledge management performance for R&D division
International Journal of Information Technology and Management
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA
Expert Systems with Applications: An International Journal
An Investigation of the Impact of Intrinsic Motivation on Organizational Knowledge Sharing
International Journal of Knowledge Management
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Although previous studies have identified various factors that facilitate knowledge sharing, the relative importance of these factors has not been empirically determined. The purpose of this study is to propose an evolution model that integrates triangular fuzzy numbers and the analytic hierarchy process (AHP) to develop a fuzzy evaluation model which prioritizes the relative weights of the factors influencing knowledge sharing. A literature review and factor analysis are performed, generating 16 attributes related to four dimensions affecting knowledge sharing. Then, a fuzzy AHP approach is adopted to determine the relative weights linking the four dimensions with the 16 evaluated attributes. Finally, an empirical case from the Taiwanese shipping industry is used to illustrate the feasibility of the proposed approach. The results not only provide a fuzzy evaluation model for calculation of the relative importance of these influences on knowledge sharing, but can also help managers focus on the most important factors and identify the best policy for promoting knowledge sharing.