IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v1y2006i4p446-460.html
   My bibliography  Save this article

Knowledge management evaluation framework for effective supply value chain

Author

Listed:
  • Gulgun Kayakutlu
  • Gulcin Buyukozkan

Abstract

Knowledge Management on the supply chain is a major and competitive issue in many industries, since the importance of value creation through collaboration with the suppliers and the customers has become the business focus. Embracing supply value chain based on the effective knowledge management requires determination of knowledge management issues that can be measured, through which supply value chain be effectively achieved and enhanced. However, the ambiguity of knowledge management assessment where most measures are described subjectively using linguistic terms is a problem; fuzzy logic provides a useful tool. Thus, a fuzzy knowledge management evaluation framework for effective supply value chain management is developed in this study. To illustrate the efficacy of the approach, this study also evaluates the performance of Knowledge Management Dynamics (KMD) in two Turkish textile companies in a supply value chain perspective. Case evaluations demonstrate that the proposed framework can provide analysts with more informative and reliable information for decisions.

Suggested Citation

  • Gulgun Kayakutlu & Gulcin Buyukozkan, 2006. "Knowledge management evaluation framework for effective supply value chain," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 1(4), pages 446-460.
  • Handle: RePEc:ids:ijisen:v:1:y:2006:i:4:p:446-460
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=10386
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijisen:v:1:y:2006:i:4:p:446-460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.