IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/jqg2r.html
   My bibliography  Save this paper

Explanation of valuation criteria based on maturity level of Knowledge management

Author

Listed:
  • Niknamian, Sorush

Abstract

In This study explains valuation criteria Based on the maturity level of knowledge management in executive agencies Khuzestan province in order to provide a local model is studied. In this study, two questionnaires of valuation criteria (51questions, Cronbach’s α=0.94), and maturity level of knowledge management (98 questions, Cronbach’s α=0.93) have been used. The statistical population involves people from administrative staff of Khuzestan province, which 382 individuals were selected as the statistical sample by using Cochran’s formula Spss 22 and Amos 22 software were used to analyze the data. The study results shoed that valuation criteria involved 17 variables, among which the technical index variable enjoyed the highest ranking mean (11.99), and the maintainability variable benefited from the lowest ranking mean (79.6) among the other variables in the statistical population of the research. In maturity level of knowledge management included 13 variables, which, generally it can said that this variable enjoyed the benefit of being more than satisfactory level. Also, the results showed that there was a significant relationship between the valuation criteria, and the maturity level of knowledge management.

Suggested Citation

  • Niknamian, Sorush, 2019. "Explanation of valuation criteria based on maturity level of Knowledge management," OSF Preprints jqg2r, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:jqg2r
    DOI: 10.31219/osf.io/jqg2r
    as

    Download full text from publisher

    File URL: https://osf.io/download/5e040db1fad251000b7637f1/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/jqg2r?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:osfxxx:jqg2r. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.