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

Sachin K. Patil and Ravi Kant

International Journal of Business Performance and Supply Chain Modelling, 2014, vol. 6, issue 1, 75-93

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.

Keywords: knowledge management; supply chain management; SCM; fuzzy decision making; fuzzy DEMATEL; fuzzy MCDM; multicriteria decision making; FMCDM; printing machinery manufacturing; India. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.inderscience.com/link.php?id=58894 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:6:y:2014:i:1:p:75-93

Access Statistics for this article

More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().