IDEAS home Printed from https://ideas.repec.org/a/igg/jkm000/v16y2020i4p42-62.html
   My bibliography  Save this article

The Method of Evaluating Impacts of Knowledge Management on Job Satisfaction and Intellectual Level of Work

Author

Listed:
  • Jong-Chol Jin

    (Kim Il Sung University, North Korea)

  • Song-Nam Hong

    (Kim Il Sung University, North Korea)

  • Guang-Son Li

    (Kim Il Sung University, North Korea)

  • Nam-Ung Kim

    (Kim Il Sung University, North Korea)

Abstract

This paper aims to propose main facets and indices that characterize knowledge management (KM), job satisfaction (JS), and intellectual level of work (ILW), and introduce a method of determining degrees of their impacts based on explaining their relation theoretically. A method of examining the impacts of KM on JS of four classes of employees (general employee, expert, middle-manager, top-manager) is proposed. Then a method of evaluating ILW resulting from JS is considered. First, the main facets and indices that characterize KM, JS, and ILW in organizations are proposed, and then their relation is theoretically explained. Second, the relation between five facets of KM and six indices of JS is determined by first regression and a method of determining relation between five facets of KM and four indices of ILW is proposed using advanced pair-comparison method.

Suggested Citation

  • Jong-Chol Jin & Song-Nam Hong & Guang-Son Li & Nam-Ung Kim, 2020. "The Method of Evaluating Impacts of Knowledge Management on Job Satisfaction and Intellectual Level of Work," International Journal of Knowledge Management (IJKM), IGI Global, vol. 16(4), pages 42-62, October.
  • Handle: RePEc:igg:jkm000:v:16:y:2020:i:4:p:42-62
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKM.2020100103
    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:16:y:2020:i:4:p:42-62. 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.