IDEAS home Printed from https://ideas.repec.org/a/igg/jkm000/v8y2012i4p1-21.html
   My bibliography  Save this article

Application of Multi-Dimensional Metric Model, Database, and WAM for KM System Evaluation

Author

Listed:
  • D. Venkata Subramanian

    (Department of Computer Science and Engineering, B.S. Abdur Rahman University, Chennai, Tamilnadu, India)

  • Angelina Geetha

    (Department of Computer Science and Engineering, B.S. Abdur Rahman University, Chennai, Tamilnadu, India)

Abstract

A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. Based on the earlier research works, the authors have identified the gaps, and challenges in order to develop a comprehensive KM System framework, Hybrid Evaluation method which are helpful to assess any given KM system. The primary goal of this research paper is to propose the methodology for ranking and rating of the KM system using Multi-dimensional Metric Model, Metric Database and Weighted Arithmetic Mean (WAM) method. This paper first provides the background for KM System Technology Framework and then enlists some of the significant research works, carried out in the past two decades especially on the KM Success Factors and Models, which support and validate their success. Secondly, this paper describes and illustrates how a Multi-dimensional Metric Model and Metric Database can be formed. Finally, this paper discusses how the KM Systems are evaluated and ranked for their effectiveness through the proposed evaluation methodology.

Suggested Citation

  • D. Venkata Subramanian & Angelina Geetha, 2012. "Application of Multi-Dimensional Metric Model, Database, and WAM for KM System Evaluation," International Journal of Knowledge Management (IJKM), IGI Global, vol. 8(4), pages 1-21, October.
  • Handle: RePEc:igg:jkm000:v:8:y:2012:i:4:p:1-21
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jkm.2012100101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jkm000:v:8:y:2012:i:4:p:1-21. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.