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An Experimental Evaluation of Information Overload in a Production Environment

Author

Listed:
  • Norman L. Chervany

    (University of Minnesota)

  • Gary W. Dickson

    (University of Minnesota)

Abstract

This paper reports the results of an experimental study of the relationship between the effectiveness of aggregate production planning decisions and the form of the information system used to support the decision making. The experiment, involving twenty two graduate business administration students devoting an entire week end to the decision making activity in a simulated, computer based environment, generated results showing significantly different performance according to the form in which information was presented. Decision makers given data summarized through the use of simple descriptive statistics (1) made higher quality decisions than those receiving the same data in standard formats, (2) had less confidence in the quality of their decisions, and (3) took longer to make their decisions.

Suggested Citation

  • Norman L. Chervany & Gary W. Dickson, 1974. "An Experimental Evaluation of Information Overload in a Production Environment," Management Science, INFORMS, vol. 20(10), pages 1335-1344, June.
    • Handle: RePEc:inm:ormnsc:v:20:y:1974:i:10:p:1335-1344
    DOI: 10.1287/mnsc.20.10.1335
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    Cited by:

    1. Maren Hartmann & Barbara E. Weißenberger, 2024. "Information overload research in accounting: a systematic review of the literature," Management Review Quarterly, Springer, vol. 74(3), pages 1619-1667, September.
    2. Pluyter, J.R., 2012. "Designing immersive surgical training against information technology-related overload in the operating room," Other publications TiSEM d48c5727-92fd-41b1-be5d-5, Tilburg University, School of Economics and Management.
    3. Christopher P. Furner & Robert A. Zinko, 2017. "The influence of information overload on the development of trust and purchase intention based on online product reviews in a mobile vs. web environment: an empirical investigation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 211-224, August.
    4. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    5. Anderson, Simon P. & Ciliberto, Federico & Liaukonyte, Jura, 2013. "Information content of advertising: Empirical evidence from the OTC analgesic industry," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 355-367.
    6. Alex Richardson & Shirley Gregor & Richard Heaney, 2012. "Using decision support to manage the influence of cognitive abilities on share trading performance," Australian Journal of Management, Australian School of Business, vol. 37(3), pages 523-541, December.
    7. Tuttle, Brad & Burton, F. Greg, 1999. "The effects of a modest incentive on information overload in an investment analysis task," Accounting, Organizations and Society, Elsevier, vol. 24(8), pages 673-687, November.
    8. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    9. Cooper, Arnold C. & Folta, Timothy B. & Woo, Carolyn, 1995. "Entrepreneurial information search," Journal of Business Venturing, Elsevier, vol. 10(2), pages 107-120, March.
    10. Berend Wierenga & Gerrit H. Van Bruggen & Richard Staelin, 1999. "The Success of Marketing Management Support Systems," Marketing Science, INFORMS, vol. 18(3), pages 196-207.

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