| Title: | KNOWLEDGE POTENTIAL MEASUREMENT - THEORETICAL FRAMEWORK AND CASE STUDIES - |
| DOI No: | 10.1142/9789812701527_0050 |
| Source: | KNOWLEDGE MANAGEMENT: NURTURING CULTURE, INNOVATION AND TECHNOLOGY (pp 571-582)
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| Author(s): | 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
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| Abstract: | Knowledge 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. |
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