engleski

Discovering Tacit Knowledge in Business Decision Making

In dynamic and globalized business environment the only certain source of lasting competitive advantage of companies is knowledge. By maintaining and acquiring relevant knowledge through the use of knowledge management systems businesses are sustaining their competitive advantage over other players in the market. In this sense one of the most important activities is decision making. Decision making process must take into account all of the relevant knowledge in order to reach optimal decision, specifically knowledge that is not available to other competitors – tacit knowledge. In this paper we propose an information-driven approach that can be used to make model of knowledge that management executives and experts posses. The model can reveal new relations that have not been explicitly articulated during the knowledge engineering process. In the case study that will be described in this paper, knowledge was used to determine the criteria for evaluation of various decision options during a selection of IT Security solution for the organisation. The information-driven approach is based on the modified ID3 algorithm implemented in the DoctuS expert system shell. Results of the developed knowledge model is presented and discussed.

Tacit knowledge; Knowledge Management; Knowledge discovery; Decision-making; Decision

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