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Research in Management Information Systems: The Minnesota Experiments

Dickson, Gary W., Senn, James A., Chervany, Norman L.·1977·Management Science

Abstract

The use of computer based information-decision systems to support decision making in organizations has increased significantly in the last decade. Very little effort has been devoted, however, to determine what relationships exist between the structure of information presented for decision making and the ensuing effectiveness of the decision. This article summarizes a series of experiments. The Minnesota Experiments, which were conducted to examine the significance of various information system characteristics on decision activity. Several research programs administered in the period 1970–1975 are discussed in this paper. By varying the manner in which information was provided to participants in each experiment, the impact of various information system characteristics and individual differences on decision effectiveness was investigated. Analysis of the results shows that, in many cases, the decisions/decision-making process of the participants was affected by the information system structure and/or attributes of individual decision makers. The results suggest guidelines for the designers of information systems and fruitful avenues for continued research.

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Metadata

Authors
Dickson, G. W., Senn, J. A., & Chervany, N. L.
Venue
Management Science
Published
1977-05
Volume
23
Issue
9
Pages
913-934
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2006783182
Cited by
336
References
0
FWCI
26.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Research in Management Information Systems: The Minnesota Experiments. https://app.cochat.ai/papers/10.1287/mnsc.23.9.913
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Dickson, G. W., Senn, J. A., & Chervany, N. L. (1977). Research in Management Information Systems: The Minnesota Experiments. Management Science. https://doi.org/10.1287/mnsc.23.9.913

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.