A Multiple Criteria Approach for Evaluating Information Systems.

Author List: Chandler, John S.;
MIS Quarterly, 1982, Volume 6, Issue 1, Page 61-74.
An information system can be viewed as a symbiotic relationship between the users of the system and the system itself. Ideally, an information system should be evaluated with equal consideration given to both user constraints and to system constraints. The approach described in this article provides the analyst with a framework for gaining insight into information system performance from both user and system viewpoints by establishing a causal relationship between user goal attainment and system activity. This approach produces not only measures of current performance, but also predictive measures of future performance. The approach is based on a multiple goal programming formulation of the information system design evaluation problem. This article presents an overview of the formulation and its interpretation. The focus is on the analysis of an example system facilitated by this approach. A discussion of the applicability of the approach concludes this article.
Keywords: goal programming; MIS evaluation; multiple criteria evaluation; simulation
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#141 0.331 information approach article mis presents doctoral dissertations analysis verification management requirements systems list needs including user requirement systematic observation structured
#157 0.174 evaluation effectiveness assessment evaluating paper objectives terms process assessing criteria evaluations methodology provides impact literature potential important evaluated identifying multiple
#204 0.139 goals goal research setting achieve accounting behavior multiple meet make constraints differing ability particularly association set single conflicting promotes and/or
#114 0.086 performance firm measures metrics value relationship firms results objective relationships firm's organizational traffic measure market study improve accounting measuring aggregate
#31 0.071 problem problems solution solving problem-solving solutions reasoning heuristic theorizing rules solve general generating complex example formulation heuristics effective given finding
#222 0.069 research researchers framework future information systems important present agenda identify areas provide understanding contributions using literature studies paper potential review