A Knowledge Integration Approach for Organizational Decision Support
Kee-Young Kwahk (Kookmin University, Korea), Hee-Woong Kim (National University of Singapore, Singapore) and Hock Chuan Chan (National University of Singapore, Singapore)
Copyright: © 2009
This study proposes a new methodology that facilitates organizational decision support through knowledge integration across organizational units. For this purpose, this study develops a decision support loop and explains how to organize individual knowledge related to a specific business problem and formulate and test the organized knowledge using cognitive modeling techniques for decision support. This study discusses the proposed approach in the context of an application case involving a beverage company. The application case shows the validity and usefulness of the proposed approach.
Decision Support Through Knowledge Integration
This study proposes a decision support loop through knowledge integration across multiple knowledge sources, as illustrated in Figure 1. Based on an identified managerial problem, individual knowledge is gathered and then integrated into organizational knowledge, which captures and defines the problem. This constitutes the problem formulation phase. Managerial problems commonly entail two stages in their resolution: problem formulation and problem solving (Smith, 1989). To provide a linkage between knowledge integration and decision support, the organizational knowledge model is formulated and tested, and then decision guidelines are generated based on the knowledge model. This constitutes the problem-solving phase.