KNOWLEDGE POTENTIAL MEASUREMENT - THEORETICAL FRAMEWORK AND CASE STUDIES -

Kerstin Fink and Friedrich Roithmayr
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Kerstin Fink: Information Systems, University of Innsbruck, Universitaetsstrasse 15, Innsbruck, 6020, Austria
Friedrich Roithmayr: Information Systems – Information Engineering, University of Linz, Altenbergerstrasse 69, Linz, 4040, Austria

Chapter 50 in Knowledge Management:Nurturing Culture, Innovation, and Technology, 2005, pp 571-582 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractKnowledge management measurement has the key objective to evaluate the value of knowledge workers and their relationship to the company strategy as well as on the knowledge flow between the key knowledge workers. From a theoretical point of view, this article presents the transformation of the Uncertainty Principle of Heisenberg through analogical reasoning into the knowledge potential measurement method. The knowledge potential research focuses on the measurement process of highly uncertain knowledge of the experts who have a high importance to the organization. The knowledge potential view expresses the knowledge of a knowledge worker in a nine-dimensional measurement system. Case studies conducted by the authors show that the interviewer bias has a high impact on the measurement quality. Future research will focus on the design of a multi-functional stakeholder information system for knowledge potential measurement.

Keywords: Knowledge Management; Knowledge Sharing; Knowledge Discovery; KM Tools and Technologies; Communication and Organization Culture (search for similar items in EconPapers)
Date: 2005
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