Knowledge matters: Restrictiveness and performance with decision support

Authors:
Michael J. Davern;Arnold Kamis
Affiliations:
Department of Accounting and Business Information Systems, The University of Melbourne, Victoria 3010, Australia;Department of Information Systems and Operations Management, Suffolk University, Boston, MA 02108, USA
Venue:
Decision Support Systems
Year:
2010

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Abstract

We study 56 subjects of varying knowledge in a preferential choice task, aided by one of two Decision Support Systems (DSS) of different restrictiveness: an eliminative tool (ELIM) and a parametric search tool (PS). Using a novel measure for performance based on Data Envelopment Analysis (DEA), we find that the gains due to effort are greater with the less restrictive DSS. Surprisingly knowledge has a negative effect on performance, an effect exacerbated with the less restrictive DSS. We interpret our results in terms of knowledge-effort substitution and the nature of knowledge relative to the restrictiveness of the DSS.