Decision Support as Knowledge Creation: A Business Intelligence Design Theory

David M. Steiger
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David M. Steiger: University of Maine, USA

International Journal of Business Intelligence Research (IJBIR), 2010, vol. 1, issue 1, 29-47

Abstract: The primary purpose of decision support systems (DSS) is to improve the quality of decisions. Since decisions are based on an individual’s mental model, improving decision quality is a function of discovering the decision maker’s mental model, and updating and/or enhancing it with new knowledge; that is, the purpose of decision support is knowledge creation. This article suggests that BI techniques can be applied to knowledge creation as an enabling technology. Specifically, the authors propose a business intelligence design theory for DSS as knowledge creation, a prescriptive theory based on Nonaka’s knowledge spiral that indicates how BI can be focused internally on the decision maker to discover and enhance his/her mental model and improve the quality of decisions.

Date: 2010
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