Decision Support as Knowledge Creation-Reference-Cited by-同舟云学术

Decision Support as Knowledge Creation

Published:2010-01 Issue:1 Volume:1 Page:29-47
ISSN:1947-3591
Container-title:International Journal of Business Intelligence Research
language:en
Short-container-title:

Author:

Steiger David M.¹

Affiliation:

1. University of Maine, USA

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.

Publisher

IGI Global

Subject

Information Systems and Management,Statistics, Probability and Uncertainty,Management Information Systems

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