Knowledge Management of Knowledge Intensive Business Processes with PKA Method
Tomaz Kern and
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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
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).
Keywords: knowledge management; process management; PKA method; NPD process (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:tkp:mklp13:373-380
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