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Knowledge Representation Strategy Determination in Quantitative Terms

Knowledge Representation Strategy Determination in Quantitative Terms

Sandro Tsang
Copyright: © 2013 |Volume: 9 |Issue: 4 |Pages: 11
ISSN: 1548-0666|EISSN: 1548-0658|EISBN13: 9781466635135|DOI: 10.4018/ijkm.2013100105
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MLA

Tsang, Sandro. "Knowledge Representation Strategy Determination in Quantitative Terms." IJKM vol.9, no.4 2013: pp.67-77. http://doi.org/10.4018/ijkm.2013100105

APA

Tsang, S. (2013). Knowledge Representation Strategy Determination in Quantitative Terms. International Journal of Knowledge Management (IJKM), 9(4), 67-77. http://doi.org/10.4018/ijkm.2013100105

Chicago

Tsang, Sandro. "Knowledge Representation Strategy Determination in Quantitative Terms," International Journal of Knowledge Management (IJKM) 9, no.4: 67-77. http://doi.org/10.4018/ijkm.2013100105

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Abstract

Knowledge strategy is a critical component of knowledge management (KM) success. Surprisingly, a simple and quantifiable model of KM representation strategy does not seem to exist. This paper applies economics principles to derive a model for thinking of the decision problem in quantitative terms. The decision is about choosing the right codification-personalization split where all knowledge related resources are efficiently allocated to simultaneously support the business process or production. It shows that failing at making a diversified resource choice may conclude a suboptimal strategy (split). It seems to justify the propositions of an oft-cited paper and some published evidence. That is, a 50-50 split or a merely pure strategy can also be the optimal strategy. The model can be extended to include subjective decision factor, and be mastered easily. In future research, it may be developed into a game theoretical framework to capture the strategic and/or cooperative KM behaviors.

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