IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2009i2p355-366.html
   My bibliography  Save this article

Perspectives on knowledge management models

Author

Listed:
  • Dragos Sebastian CRISTEA
  • Alexandru CAPATINA

    ("Dunarea de Jos" University of Galati, Romania)

Abstract

The purpose of this paper is to present the way some widely used knowledge management models are structured. We will describe the most important characteristics of each model, with our comments about its usefulness in the economical environment. The models we chose to analyze are as follow: von Krogh and Roos, Nonaka/Takeuchi, Wiig, Boisot and Bennet. We will discuss about main factors involved, about types of knowledge and elements which forms it and of course about advantages and disadvantages of these models. The paper will end with a general conclusion, which will largely synthesize our conclusions about each knowledge model.

Suggested Citation

  • Dragos Sebastian CRISTEA & Alexandru CAPATINA, 2009. "Perspectives on knowledge management models," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 355-366.
  • Handle: RePEc:ddj:fseeai:y:2009:i:2:p:355-366
    as

    Download full text from publisher

    File URL: http://www.ann.ugal.ro/eco/Doc2009_2/Cristea_Capatina.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rozalia Nistor & Costel Nistor & Mihaela-Carmen Muntean & Ludmila Daniela Manea, 2013. "Information And Communication Technology In Health Services In Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 106-114.
    2. Emanoil MUSCALU & Alexandra STANIT & Liliana Mihaela CONSTANTINESCU, 2014. "Evaluating Human Capital In A Knowledge – Based Approach," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 3, pages 383-387, April.

    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:ddj:fseeai:y:2009:i:2:p:355-366. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    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.