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Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach

Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and... Knowledge management (KM) is a major enabler of supply chain (SC) management. Before initiating KM adoption in SC, planning is crucial to achieve intended objectives of increase profit and competitive advantage. Therefore, this study proposes a framework based on fuzzy decision-making trail and evaluation laboratory (DEMATEL) and fuzzy multi-criteria decision making (FMCDM) approach for 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 organisations to decide whether to initiate KM, restrain adoption or undertake remedial improvements to increase the possibility of successful KM adoption in SC. This proposed approach demonstrated with empirical case of offset printing machine manufacturing organisation in India. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2014.058894
Publisher site
See Article on Publisher Site

Abstract

Knowledge management (KM) is a major enabler of supply chain (SC) management. Before initiating KM adoption in SC, planning is crucial to achieve intended objectives of increase profit and competitive advantage. Therefore, this study proposes a framework based on fuzzy decision-making trail and evaluation laboratory (DEMATEL) and fuzzy multi-criteria decision making (FMCDM) approach for 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 organisations to decide whether to initiate KM, restrain adoption or undertake remedial improvements to increase the possibility of successful KM adoption in SC. This proposed approach demonstrated with empirical case of offset printing machine manufacturing organisation in India.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2014

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