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A Model to Measure DSS Effectiveness Theory and Empirical Analysis

 

作者: GuisseppiA. Forgionne,   Rajiv Kohli,  

 

期刊: Journal of Decision Systems  (Taylor Available online 1998)
卷期: Volume 7, issue 1-4  

页码: 87-110

 

ISSN:1246-0125

 

年代: 1998

 

DOI:10.1080/12460125.1998.10511744

 

出版商: Taylor & Francis Group

 

关键词: Decision Support Systems;DSS Effectiveness;Decision Theory;Decision Making Outcomes;Decision Making Process;Système Interactifs d'Aide à la Décision;Efficacité des SIAD;Théorie de la Décision;Résultat de la prise de d&#x

 

数据来源: Taylor

 

摘要:

Empirical studies have measured the effectiveness of decision support systems (DSSs) through a number of variables relating to: (a) the process of decision making or (b) the outcome of such decision making. Few studies have examined effectiveness with both types of variables. Further, empirical studies measuring the effectiveness of DSS have reported equivocal, or even dysfunctional results. This paper examines the relationship between the process and outcomes of decision making through using a DSS. First, it overviews the decision making process, identifies the role of a DSS in improving decision making, and develops a general model of DSS effectiveness. Illustrating with empirical studies, this effectiveness model is used to reconcile the incongruity between the experimental findings and the case—supported theory. The paper concludes with a discussion of the article's implications for information systems research.

 

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