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Diversity in Resource Consumption Patterns and Robustness of Costing Systems to Errors

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  • Eva Labro

    (Department of Management, London School of Economics, London WC2A 2AE, United Kingdom)

  • Mario Vanhoucke

    (Faculty of Economics and Business Administration, Ghent University, and Vlerick Leuven Gent Management School, 9000 Gent, Belgium)

Abstract

Practitioners and academics hypothesize that when there is high diversity in resource consumption patterns, costing systems are more sensitive to errors. Given that firms' resources to enhance costing accuracy are typically constrained, it is argued that costing system refinement efforts should be focused on such cases, where they are likely to be most effective. However, little guidance is available on how to identify those situations where costing system refinement efforts (such as introducing an activity-based costing system) are likely to pay off most in terms of increased accuracy. Further, to our knowledge, the existing guidance provided by this high diversity rule of thumb has never been empirically tested. Using a simulation method, we address these issues in this paper. Specifically, we model various aspects, and degrees, of diversity in the resource consumption patterns to be reflected by the costing system and find that more diversity in resource consumption patterns only leads to increased costing system sensitivity to errors for some of the aspects of diversity studied. We also identify situations in which allocating costing system refinement resources to cases characterized by high diversity in resource consumption patterns is detrimental to improved accuracy.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:54:y:2008:i:10:p:1715-1730
    DOI: 10.1287/mnsc.1080.0885
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    References listed on IDEAS

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    Cited by:

    1. Van Eynde, Rob & Vanhoucke, Mario, 2022. "New summary measures and datasets for the multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 853-868.
    2. Cathérine Grisar & Matthias Meyer, 2016. "Use of simulation in controlling research: a systematic literature review for German-speaking countries," Management Review Quarterly, Springer, vol. 66(2), pages 117-157, April.
    3. Karl Schuhmacher & Michael Burkert, 2022. "Time Is Relative: How Framing of Time Estimation Affects the Accuracy of Cost Information," Management Science, INFORMS, vol. 68(7), pages 5493-5513, July.
    4. 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.
    5. Eichfelder, Sebastian, 2013. "Compliance cost estimates: Survey non-response and temporal framing effects," arqus Discussion Papers in Quantitative Tax Research 146, arqus - Arbeitskreis Quantitative Steuerlehre.
    6. Stephan Leitner, 2014. "A simulation analysis of interactions among intended biases in costing systems and their effects on the accuracy of decision-influencing information," 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. 22(1), pages 113-138, March.
    7. 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.
    8. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.
    9. 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.
    10. Cathérine Grisar & Matthias Meyer, 2015. "Use of Monte Carlo simulation: an empirical study of German, Austrian and Swiss controlling departments," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 249-273, August.
    11. C. Homburg & Julia Nasev & Philipp Plank, 2018. "The impact of cost allocation errors on price and product-mix decisions," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 497-527, August.
    12. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

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