• DocumentCode
    2416134
  • Title

    Identify critical success factor of knowledge management in supply chain : Fuzzy DEMATEL approach

  • Author

    Patil, Sachin K. ; Kant, R.

  • Author_Institution
    Dept. of Mech. Eng., S.V. Nat. Inst. of Technol., Surat, India
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    Knowledge management (KM) is a major enabler of supply chain (SC) management. The performance of KM in SC may be affected by various different factors and it is always difficult for the practitioners to improve all aspects at the same time. This study presents a favorable method combining fuzzy set theory and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to identify critical factors for successful KM implementations in SC. Considering the interdependence among factors, this fuzzy DEMATEL method forms a structural model and then visualizes the causal relationships among factors through a cause-effect relationship diagram. Then according to the results of proposed method, critical success factor (CSF) of KM in SC is figured out. Finally, four CSFs are identified out of 12 influencing factors, which will helps to improve effectiveness and efficiency of KM in SC.
  • Keywords
    cause-effect analysis; decision making; fuzzy set theory; knowledge management; supply chain management; CSF; KM; SC; causal relationships; cause-effect relationship diagram; critical success factor; decision-making trial and evaluation laboratory method; fuzzy DEMATEL method; fuzzy set theory; knowledge management; structural model; supply chain management; Knowledge management; Pragmatics; Supply chain management; Supply chains; Teamwork; Training; CSF; DEMATEL; Knowledge Management; Supply Chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837733
  • Filename
    6837733