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A Comparative Study of How Experts and Novices Use a Decision Aid to Solve Problems in Complex Knowledge Domains

Author

Listed:
  • Jane M. Mackay

    (Management Department, M. J. Neeley School of Business, Box 32868, Texas Christian University, Fort Worth, Texas 76129)

  • Joyce J. Elam

    (Department of Decision Sciences and Information Systems, Florida International University, Miami, Florida 33199)

Abstract

This paper reports the results of a study that examined the way that professionals used a particular decision aid, spreadsheet software, to address a business-oriented task. The professionals were divided into four groups, depending on whether they were experts or novices in the functional area of business represented by the task and on whether they were experts or novices in the use of spreadsheet software. The physical interactions as well as the thought processes underlying these interactions were captured. Results of the study indicated that a lack of expertise in spreadsheet software usage inhibited the application of functional area knowledge. The behavior and outcomes of the functional area expert/spreadsheet novice group did not match those of the functional area expert/spreadsheet expert group. In fact, they paralleled more closely those of the other two groups that did not possess functional area knowledge. Results of the study also indicated that individuals need to obtain a level of expertise in using a decision aid before they are able to apply their functional area knowledge to the problem at hand.

Suggested Citation

  • Jane M. Mackay & Joyce J. Elam, 1992. "A Comparative Study of How Experts and Novices Use a Decision Aid to Solve Problems in Complex Knowledge Domains," Information Systems Research, INFORMS, vol. 3(2), pages 150-172, June.
    • Handle: RePEc:inm:orisre:v:3:y:1992:i:2:p:150-172
    DOI: 10.1287/isre.3.2.150
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    Citations

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    Cited by:

    1. Birte Schaltenbrand & Kai Foerstl & Arash Azadegan & Kevin Lindeman, 2018. "See What We Want to See? The Effects of Managerial Experience on Corporate Green Investments," Journal of Business Ethics, Springer, vol. 150(4), pages 1129-1150, July.
    2. Barbara L. Marcolin & Deborah R. Compeau & Malcolm C. Munro & Sid L. Huff, 2000. "Assessing User Competence: Conceptualization and Measurement," Information Systems Research, INFORMS, vol. 11(1), pages 37-60, March.
    3. Moez Limayem & Gerardine DeSanctis, 2000. "Providing Decisional Guidance for Multicriteria Decision Making in Groups," Information Systems Research, INFORMS, vol. 11(4), pages 386-401, December.
    4. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Althuizen, N.A.P. & Wierenga, B., 2003. "The Effectiveness of Case-Based Reasoning: An Application in Sales Promotions," ERIM Report Series Research in Management ERS-2003-053-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Benedikt Berger & Martin Adam & Alexander Rühr & Alexander Benlian, 2021. "Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 55-68, February.
    7. Clayton Arlen Looney & Andrew M. Hardin, 2009. "Decision Support for Retirement Portfolio Management: Overcoming Myopic Loss Aversion via Technology Design," Management Science, INFORMS, vol. 55(10), pages 1688-1703, October.
    8. Craig W. Fisher & InduShobha Chengalur-Smith & Donald P. Ballou, 2003. "The Impact of Experience and Time on the Use of Data Quality Information in Decision Making," Information Systems Research, INFORMS, vol. 14(2), pages 170-188, June.
    9. Weiquan Wang & Izak Benbasat, 2013. "Research Note —A Contingency Approach to Investigating the Effects of User-System Interaction Modes of Online Decision Aids," Information Systems Research, INFORMS, vol. 24(3), pages 861-876, September.
    10. Kevin Bauer & Andrej Gill, 2024. "Mirror, Mirror on the Wall: Algorithmic Assessments, Transparency, and Self-Fulfilling Prophecies," Information Systems Research, INFORMS, vol. 35(1), pages 226-248, March.

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