IDEAS home Printed from https://ideas.repec.org/h/tkp/mklp13/373-380.html
   My bibliography  Save this book chapter

Knowledge Management of Knowledge Intensive Business Processes with PKA Method

Author

Listed:
  • Matjaz Roblek

    (University of Maribor, Faculty of Organizational Sciences, Slovenia)

  • Tomaz Kern

    (University of Maribor, Faculty of Organizational Sciences, Slovenia)

  • Maja Zajec

    (University of Maribor, Faculty of Organizational Sciences, Slovenia)

Abstract

In this article we tested a process-knowledge allocation (PKA) method on real knowledge intensive process. PKA method is based on optimal balance between employee knowledge structure and process structural indexes (degree of process lean-ity). We found out that is useful in knowledge intensive processes like new product development (NPD) process to reorganize it with activity cutting principle in such way, that we decrease process efficiency and reach a better knowledge alignment. This “optimal” knowledge alignment will therefore increase in reverse process efficiency again. We named this process optimization procedure as knowledge based process reverse engineering, because the process is decomposed first and then composed again with focus on better knowledge alignment (optimal, if it is feasible).

Suggested Citation

  • Matjaz Roblek & Tomaz Kern & Maja Zajec, 2013. "Knowledge Management of Knowledge Intensive Business Processes with PKA Method," Active Citizenship by Knowledge Management & Innovation: Proceedings of the Management, Knowledge and Learning International Conference 2013,, ToKnowPress.
    • Handle: RePEc:tkp:mklp13:373-380
    as

    Download full text from publisher

    File URL: http://www.toknowpress.net/ISBN/978-961-6914-02-4/papers/ML13-268.pdf
    File Function: full text
    Download Restriction: no
    File URL: http://www.toknowpress.net/ISBN/978-961-6914-02-4/MakeLearn2013.pdf
    File Function: Conference Programme
    Download Restriction: no
    ---><---

    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:tkp:mklp13:373-380. 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: Maks Jezovnik (email available below). General contact details of provider: http://www.toknowpress.net/proceedings/978-961-6914-02-4/ .

    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.