Discovering tacit knowledge in business decision making

Part of : WSEAS transactions on business and economics ; Vol.5, No.3, 2008, pages 72-81

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Pages:
72-81
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Abstract:
In dynamic and globalized business environment the only certain source of lasting competitiveadvantage of companies is knowledge. By maintaining and acquiring relevant knowledge through the use ofknowledge management systems businesses are sustaining their competitive advantage over other players in themarket. In this sense one of the most important activities is decision making. Decision making process must takeinto account all of the relevant knowledge in order to reach optimal decision, specifically knowledge that is notavailable to other competitors – tacit knowledge. In this paper we propose an information-driven approach that canbe used to make model of knowledge that management executives and experts posses. The model can reveal newrelations that have not been explicitly articulated during the knowledge engineering process. In the case study thatwill be described in this paper, knowledge was used to determine the criteria for evaluation of various decisionoptions during a selection of IT Security solution for the organisation. The information-driven approach is basedon the modified ID3 algorithm implemented in the DoctuS expert system shell. Results of the developedknowledge model is presented and discussed.
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Subject (LC):
Keywords:
tacit knowledge, knowledge management, knowledge discovery, decision-making, decision support systems, IT management
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