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Experimental methods in decision aid research

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  • Wheeler, Patrick
  • Murthy, Uday

Abstract

In this overview of experimental decision aid research, we examine some of the basic considerations necessary when conducting this type of research. We next look at several specific lessons we have learned over our combined careers in this research stream. Whether dealing with the basics or specific lessons learned, we provide the reader a foundational understanding of the problems involved and suggestions toward solutions. We conclude by discussing some of the unique advantages and disadvantages of doing decision aid research using experimental methods. Specifically, we note that experimental decision aid research spans a wide range of human experience, from psychology to technology, and that it is well placed to get to the “why” behind the “what” experiments find.

Suggested Citation

  • Wheeler, Patrick & Murthy, Uday, 2011. "Experimental methods in decision aid research," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 161-167.
    • Handle: RePEc:eee:ijoais:v:12:y:2011:i:2:p:161-167
    DOI: 10.1016/j.accinf.2010.12.004
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    References listed on IDEAS

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    1. Ashton, Rh, 1990. "Pressure And Performance In Accounting Decision Settings - Paradoxical Effects Of Incentives, Feedback, And Justification," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 28, pages 148-180.
    2. Rose, Jacob M. & Wolfe, Christopher J., 2000. "The effects of system design alternatives on the acquisition of tax knowledge from a computerized tax decision aid," Accounting, Organizations and Society, Elsevier, vol. 25(3), pages 285-306, April.
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    Cited by:

    1. Kelton, Andrea Seaton & Murthy, Uday S., 2023. "Reimagining design science and behavioral science AIS research through a business activity lens," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
    2. Maren Hartmann & Barbara E. Weißenberger, 2024. "Decision-making in the capital budgeting context: effects of type of decision aid and increases in information load," Journal of Business Economics, Springer, vol. 94(2), pages 379-411, February.
    3. Christine R. Ohlert & Barbara E. Weißenberger, 2020. "Debiasing escalation of commitment: the effectiveness of decision aids to enhance de-escalation," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 30(4), pages 405-438, February.
    4. Mahama, Habib & Elbashir, Mohamed Z. & Sutton, Steve G. & Arnold, Vicky, 2016. "A further interpretation of the relational agency of information systems: A research note," International Journal of Accounting Information Systems, Elsevier, vol. 20(C), pages 16-25.

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