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Using simulation methods in accounting research

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  • Eva Labro

Abstract

The use of simulation methods is not very common in accounting research, even though several authors have pointed to the advantages these methods offer in addressing accounting research questions. In this position paper, I discuss the difficulties encountered when applying simulation methods in accounting research. These roadblocks are the problem of seeing the forest for the trees, the difficulty in designing the model and assessing which variables to include, issues with calibrating simulation models with relevant parameter values to guarantee external validity, and the unfamiliarity of the accounting readership with simulation methods. For each of these obstacles, I give some practical advice on how to overcome them from my experience as an author as well as a reviewer. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Eva Labro, 2015. "Using simulation methods in accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 99-104, August.
    • Handle: RePEc:spr:jmgtco:v:26:y:2015:i:2:p:99-104
    DOI: 10.1007/s00187-015-0203-4
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    References listed on IDEAS

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    1. Ramji Balakrishnan & Stephen Hansen & Eva Labro, 2011. "Evaluating Heuristics Used When Designing Product Costing Systems," Management Science, INFORMS, vol. 57(3), pages 520-541, March.
    2. John H. Miller, 1998. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Management Science, INFORMS, vol. 44(6), pages 820-830, June.
    3. Eva Labro & Mario Vanhoucke, 2008. "Diversity in Resource Consumption Patterns and Robustness of Costing Systems to Errors," Management Science, INFORMS, vol. 54(10), pages 1715-1730, October.
    4. Drury, Colin & Tayles, Mike, 2005. "Explicating the design of overhead absorption procedures in UK organizations," The British Accounting Review, Elsevier, vol. 37(1), pages 47-84.
    5. Balakrishnan, Ramji & Penno, Mark, 2014. "Causality in the context of analytical models and numerical experiments," Accounting, Organizations and Society, Elsevier, vol. 39(7), pages 531-534.
    6. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.
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    Cited by:

    1. Stefan N. Groesser & Niklas Jovy, 2016. "Business model analysis using computational modeling: a strategy tool for exploration and decision-making," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 61-88, February.
    2. Sina Hocke & Matthias Meyer & Iris Lorscheid, 2015. "Improving simulation model analysis and communication via design of experiment principles: an example from the simulation-based design of cost accounting systems," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 131-155, August.
    3. Stefan Groesser & Niklas Jovy, 2016. "Business model analysis using computational modeling: a strategy tool for exploration and decision-making," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 61-88, February.

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