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In recent years knowledge has been considered a critical organizational asset. As any other asset, knowledge provides value to organizations only when it conforms to a set of specifications and standards; in other words, when it is of good quality. Several proposals have addressed the issue of quality of knowledge, but there is not a widely accepted way of measuring such a concept. This article introduces a new approach to measure explicit knowledge in a semi-automatic way using software agents. The ideas described in this article are part of the e-Decisional Community concept, an agent-based platform for sharing experiential knowledge. The results of this research process show that it is possible to obtain a percentage of knowledge that represents an approximate measure of an individual's knowledge.
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Keywords: e-Decisional community; knowledge quality; knowledge quantity

Document Type: Research Article

Affiliations: 1: School of Engineering, Faculty of Engineering and Built Environment,The University of Newcastle, Australia 2: Faculty of Management and Economics,Gdansk University of Technology, Gdansk, Poland

Publication date: February 1, 2012

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