IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v54y2003i9d10.1057_palgrave.jors.2601605.html
   My bibliography  Save this article

Bad numbers: coping with flawed decision support

Author

Listed:
  • T R Willemain

    (Rensselaer Polytechnic Institute)

  • W A Wallace

    (Rensselaer Polytechnic Institute)

  • K R Fleischmann

    (Rensselaer Polytechnic Institute)

  • L B Waisel

    (Rensselaer Polytechnic Institute)

  • S N Ganaway

    (Rensselaer Polytechnic Institute)

Abstract

Evidence is accumulating that many spreadsheet-based decision support systems contain errors. These errors can result in bad numbers, which in turn could lead to bad decisions. We review the literature on the origins and consequences of bad (erroneous) numbers produced by models and/or decision support systems built around them. Then, we present a case study in which an experiment in visual support for a sequential decision-making task was tainted by bad numbers. Both the literature review and the experiment indicate a robust human ability to overcome flawed decision support. We conclude with questions that need to be addressed in order to better understand the capabilities of humans to deal with erroneous results from decision support systems.

Suggested Citation

  • T R Willemain & W A Wallace & K R Fleischmann & L B Waisel & S N Ganaway, 2003. "Bad numbers: coping with flawed decision support," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(9), pages 949-957, September.
  • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:9:d:10.1057_palgrave.jors.2601605
    DOI: 10.1057/palgrave.jors.2601605
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601605
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2601605?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Q B Chung & T R Willemain & R M O'Keefe, 2000. "Influence of model management systems on decision making: empirical evidence and implications," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(8), pages 936-948, August.
    2. Khoong, C. M., 1995. "Decision support systems: an extended research agenda," Omega, Elsevier, vol. 23(2), pages 221-229, April.
    3. George M. Kasper, 1996. "A Theory of Decision Support System Design for User Calibration," Information Systems Research, INFORMS, vol. 7(2), pages 215-232, June.
    4. Kishore Sengupta & Tarek K. Abdel-Hamid, 1993. "Alternative Conceptions of Feedback in Dynamic Decision Environments: An Experimental Investigation," Management Science, INFORMS, vol. 39(4), pages 411-428, April.
    5. Michael H. Rothkopf & Richard Engelbrecht-Wiggans, 1993. "Misapplications Reviews: Getting the Model Right—The Case of Competitive Bidding," Interfaces, INFORMS, vol. 23(3), pages 99-106, June.
    6. James S. Hodges, 1991. "Six (Or So) Things You Can Do with a Bad Model," Operations Research, INFORMS, vol. 39(3), pages 355-365, June.
    7. Lyn Blackshaw & Baruch Fischhoff, 1988. "Decision making in online searching," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 39(6), pages 369-389, November.
    8. Peter C. Bell & Robert M. O'Keefe, 1995. "An Experimental Investigation into the Efficacy of Visual Interactive Simulation," Management Science, INFORMS, vol. 41(6), pages 1018-1038, June.
    9. Landry, Maurice & Oral, Muhittin, 1993. "In search of a valid view of model validation for operations research," European Journal of Operational Research, Elsevier, vol. 66(2), pages 161-167, April.
    10. Robert C. Blattberg & Stephen J. Hoch, 1990. "Database Models and Managerial Intuition: 50% Model + 50% Manager," Management Science, INFORMS, vol. 36(8), pages 887-899, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Franco, L. Alberto & Hämäläinen, Raimo P. & Rouwette, Etiënne A.J.A. & Leppänen, Ilkka, 2021. "Taking stock of behavioural OR: A review of behavioural studies with an intervention focus," European Journal of Operational Research, Elsevier, vol. 293(2), pages 401-418.
    2. O'Keefe, Robert M., 2016. "Experimental behavioural research in operational research: What we know and what we might come to know," European Journal of Operational Research, Elsevier, vol. 249(3), pages 899-907.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franco, L. Alberto & Hämäläinen, Raimo P. & Rouwette, Etiënne A.J.A. & Leppänen, Ilkka, 2021. "Taking stock of behavioural OR: A review of behavioural studies with an intervention focus," European Journal of Operational Research, Elsevier, vol. 293(2), pages 401-418.
    2. Shepherd, Dean A. & Zacharakis, Andrew, 2002. "Venture capitalists' expertise: A call for research into decision aids and cognitive feedback," Journal of Business Venturing, Elsevier, vol. 17(1), pages 1-20, January.
    3. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    4. Dominik Dellermann & Nikolaus Lipusch & Philipp Ebel & Jan Marco Leimeister, 2019. "Design principles for a hybrid intelligence decision support system for business model validation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 423-441, September.
    5. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    6. Baecke, Philippe & De Baets, Shari & Vanderheyden, Karlien, 2017. "Investigating the added value of integrating human judgement into statistical demand forecasting systems," International Journal of Production Economics, Elsevier, vol. 191(C), pages 85-96.
    7. Tim Rakow & Charles Vincent & Kate Bull & Nigel Harvey, 2005. "Assessing the Likelihood of an Important Clinical Outcome: New Insights from a Comparison of Clinical and Actuarial Judgment," Medical Decision Making, , vol. 25(3), pages 262-282, May.
    8. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Other publications TiSEM 4da192cf-c3f4-40a4-aea4-5, Tilburg University, School of Economics and Management.
    9. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    10. Merrick, James H. & Weyant, John P., 2019. "On choosing the resolution of normative models," European Journal of Operational Research, Elsevier, vol. 279(2), pages 511-523.
    11. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    12. O'Keefe, Robert M., 2016. "Experimental behavioural research in operational research: What we know and what we might come to know," European Journal of Operational Research, Elsevier, vol. 249(3), pages 899-907.
    13. Franses, Philip Hans, 2008. "Merging models and experts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 31-33.
    14. Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
    15. Gibson, Faison P., 2000. "Feedback Delays: How Can Decision Makers Learn Not to Buy a New Car Every Time the Garage Is Empty?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 141-166, September.
    16. Albers, Sönke, 2012. "Optimizable and implementable aggregate response modeling for marketing decision support," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 111-122.
    17. Mirko Kremer & Enno Siemsen & Douglas J. Thomas, 2016. "The Sum and Its Parts: Judgmental Hierarchical Forecasting," Management Science, INFORMS, vol. 62(9), pages 2745-2764, September.
    18. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
    19. Jack P. C. Kleijnen & Susan M. Sanchez & Thomas W. Lucas & Thomas M. Cioppa, 2005. "State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 263-289, August.
    20. Franses, Philip Hans & Legerstee, Rianne, 2013. "Do statistical forecasting models for SKU-level data benefit from including past expert knowledge?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 80-87.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:54:y:2003:i:9:d:10.1057_palgrave.jors.2601605. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.