The impact of DSS use and information load on errors and decision quality |
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Authors: | Michael L Williams Alan R Dennis Antonie Stam Jay E Aronson |
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Institution: | 1. Graziadio School of Business and Management, Pepperdine University, 6100 Center Drive, Los Angeles, CA 90045, United States;2. Department of Information Systems, Kelly School of Business, Indiana University, Bloomington, IN 47405, United States;3. Department of Management, College of Business, 418 Cornell Hall, University of Missouri, Columbia, MO 65211, United States;4. Department of MIS, Terry College of Business, Brooks Hall 307, University of Georgia, Athens, GA 30602, United States |
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Abstract: | This paper uses a laboratory experiment to examine the effect of DSS use on the decision maker’s error patterns and decision quality. The DSS used in our experiments is the widely used Expert Choice (EC) implementation of the Analytic Hierarchy Process. Perhaps surprisingly, our experiments do not provide general support for the often tacit assumption that the use of a DSS such as EC improves decision quality. Rather, we find that, whereas a DSS can help decision makers develop a better understanding of the essence of a decision problem and can reduce logical error (especially if the information load is high), it is also susceptible to introducing accidental effects such as mechanical errors. In some cases, as in our study, the accidental errors may outweigh the benefits of using a DSS, leading to lower quality decisions. |
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Keywords: | Decision support systems Multicriteria decision making Analytic hierarchy process Decision quality |
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