IDEAS home Printed from https://ideas.repec.org/a/igg/jkbo00/v9y2019i1p12-25.html
   My bibliography  Save this article

Design of Knowledge Based Analytical Model for Organizational Excellence

Author

Listed:
  • Sonal Pathak

    (MRIIRS, Faridabad, India)

  • Rashmi Agrawal

    (MRIIRS, Faridabad, India)

Abstract

Knowledge is the key resource which always contributes to an improved performance of an organization if it is properly harnessed and leveraged. The administration of assets related to intellect has become an essential managerial task. An ample variety of organizations have commenced initiative to contribute their best ideas on knowledge management. This article focuses this progression in more detailed approach with a description of its basic elements. Organizations have always faced a challenge to the acceptance of knowledge management in their firms. The authors of the article suggest a model for knowledge management (KM) from system perspective. This article includes an overview of knowledge management components and the proposal of an analytical model which includes all the factors required for an excellent knowledge-based system. As knowledge is generally disseminated among almost all systems in any organization, the proposed research model supports the evaluation of knowledge within the organization, using both subjective and objective dimensions which are a challenge point out in many of the existing research studies.

Suggested Citation

  • Sonal Pathak & Rashmi Agrawal, 2019. "Design of Knowledge Based Analytical Model for Organizational Excellence," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 9(1), pages 12-25, January.
  • Handle: RePEc:igg:jkbo00:v:9:y:2019:i:1:p:12-25
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKBO.2019010102
    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:jkbo00:v:9:y:2019:i:1:p:12-25. 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.