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Knowledge Management of Knowledge Intensive Business Processes with PKA Method

Listed author(s):
  • 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)

Registered author(s):

    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).

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    This chapter was published in: Matjaz Roblek & Tomaz Kern & Maja Zajec , , pages 373-380, 2013.
    This item is provided by ToKnowPress in its series Active Citizenship by Knowledge Management & Innovation: Proceedings of the Management, Knowledge and Learning International Conference 2013 with number 373-380.
    Handle: RePEc:tkp:mklp13:373-380
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