A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain |
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| Affiliation: | 1. Department of Business Administration, National Central University, Taiwan;2. Department of Business Administration, Lunghwa University of Science and Technology, Taiwan;3. Department of Industrial Engineering, De La Salle University, Manila, Philippines;4. Department of Industrial Engineering, National Taiwan University of Science and Technology, Taiwan;5. Department of Industrial Engineering, National Pingtung University of Science and Technology, Taiwan;1. Faculty of Management and Economics, Dalian University of Technology, Dalian, Liaoning Province 116024, PR China;2. Operations and Supply Chain Management, Department of Business and Economics, University of Southern Denmark, Campusvej 55, Odense 5230, Denmark;1. Department of Mechanical Engineering, Government Engineering College, Nilokheri, 132117, Haryana, India;2. Center for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, Denmark;3. Department of Mechanical Engineering, Graphic Era University, Dehradun, 248002, Uttarakhand, India;1. Department of Maritime Management, Bursa Technical University, Osmangazi 16190, Bursa, Turkey;2. Department of Industrial Engineering, Tunceli University, 62000 Tunceli, Turkey |
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| Abstract: | Knowledge management (KM) adoption in the supply chain (SC) needs high investment as well as few changes in culture of entire SC. This study proposes a prediction framework based on the fuzzy decision-making trail and evaluation laboratory (DEMATEL) and fuzzy multi-criteria decision-making (FMCDM) for KM adoption in SC. This study first identifying the evaluation criteria of KM adoption in SC from literature review and expert opinion. Further, it uses fuzzy DEMATEL to evaluate weighting of each evaluation criteria's, after that FMCDM method uses to obtain possible rating of success of KM adoption in SC. The proposed approach is helpful to predict the success of KM adoption in SC without actually adopted KM in SC. It also enables organizations to decide whether to initiate KM, restrain adoption or undertake remedial improvements to increase the possibility of successful KM adoption in SC. This prominent advantage can be considered as one of the contribution of this paper. This proposed approach demonstrated with empirical case of a hydraulic valve manufacturing organization in India. |
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| Keywords: | Knowledge management Supply chain Fuzzy DEMATEL FMCDM |
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