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A Study of Graphical and Tabular Displays and Their Interaction with Environmental Complexity

Author

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  • William Remus

    (University of Hawaii, 2404 Maile Way, Honolulu, Hawaii 96822)

Abstract

Since most interactive systems use either graphical or tabular displays, this experiment contrasts the effectiveness of the two displays in making the production scheduling decision in low and intermediate levels of environmental complexity. The study concludes that tabular aids outperform the graphical aids in environments with low complexity, replicating an earlier study. In intermediate complexity environments, the graphical aids outperform the tabular aids. These findings may resolve many conflicts in the literature on data displays.

Suggested Citation

  • William Remus, 1987. "A Study of Graphical and Tabular Displays and Their Interaction with Environmental Complexity," Management Science, INFORMS, vol. 33(9), pages 1200-1204, September.
  • Handle: RePEc:inm:ormnsc:v:33:y:1987:i:9:p:1200-1204
    DOI: 10.1287/mnsc.33.9.1200
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    Citations

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    Cited by:

    1. Johannes Gettinger & Sabine T. Koeszegi, 2014. "Far from Eye, Far from Heart: Analysis of Graphical Decision Aids in Electronic Negotiation Support," Group Decision and Negotiation, Springer, vol. 23(4), pages 787-817, July.
    2. Cardinaels, Eddy, 2008. "The interplay between cost accounting knowledge and presentation formats in cost-based decision-making," Accounting, Organizations and Society, Elsevier, vol. 33(6), pages 582-602, August.
    3. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
    4. Michal Krol & Magdalena Ewa Krol, 2020. "On the strategic value of ‘shooting yourself in the foot’: an experimental study of burning money," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(1), pages 23-45, March.
    5. Tim Schröder & Lars-Peter Lauven & Beatriz Beyer & Nils Lerche & Jutta Geldermann, 2019. "Using PROMETHEE to assess bioenergy pathways," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 287-309, June.
    6. Sebastian Bachler & Felix Holzmeister & Michael Razen & Matthias Stefan, 2021. "The Impact of Presentation Format and Choice Architecture on Portfolio Allocations: Experimental Evidence," Working Papers 2021-15, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    8. Harvey, Nigel & Bolger, Fergus, 1996. "Graphs versus tables: Effects of data presentation format on judgemental forecasting," International Journal of Forecasting, Elsevier, vol. 12(1), pages 119-137, March.

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