IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v54y2008i10p1715-1730.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1080.0885
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1080.0885?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
    ---><---

    References listed on IDEAS

    as
    1. Michael Alles & Srikant Datar, 1998. "Strategic Transfer Pricing," Management Science, INFORMS, vol. 44(4), pages 451-461, April.
    2. Ramji Balakrishnan & K. Sivaramakrishnan, 2001. "Sequential Solutions to Capacity†Planning and Pricing Decisions," Contemporary Accounting Research, John Wiley & Sons, vol. 18(1), pages 1-26, March.
    3. Chandra Kanodia & Rajdeep Singh & Andrew E. Spero, 2005. "Imprecision in Accounting Measurement: Can It Be Value Enhancing?," Journal of Accounting Research, Wiley Blackwell, vol. 43(3), pages 487-519, June.
    4. 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.
    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. 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.

    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. 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. H. Ooghe & C. Spaenjers & P. Vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/338, Ghent University, Faculty of Economics and Business Administration.
    3. CHOI, Jay Pil & FURUSAWA, Taiji, 2018. "Transfer Pricing and the Arm's Length Principle under Imperfect Competition," Discussion paper series HIAS-E-73, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    4. Clemens A. Otto & Paolo F. Volpin, 2018. "Marking to Market and Inefficient Investment Decisions," Management Science, INFORMS, vol. 64(8), pages 3756-3771, August.
    5. Li, Jin & Hu, Zening & Shi, Victor & Wang, Qian, 2021. "Manufacturer's encroachment strategy with substitutable green products," International Journal of Production Economics, Elsevier, vol. 235(C).
    6. Anil Arya & Hans Frimor & Brian Mittendorf, 2015. "Decentralized Procurement in Light of Strategic Inventories," Management Science, INFORMS, vol. 61(3), pages 578-585, March.
    7. Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics.
    8. 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.
    9. Pierre Jinghong Liang & Xiaoyan Wen, 2007. "Accounting Measurement Basis, Market Mispricing, and Firm Investment Efficiency," Journal of Accounting Research, Wiley Blackwell, vol. 45(1), pages 155-197, March.
    10. Imhof, Michael J. & Seavey, Scott E., 2014. "Corporate risk-taking, firm value and high levels of managerial earnings forecasts," Advances in accounting, Elsevier, vol. 30(2), pages 328-337.
    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. Hamamura, Jumpei, 2018. "Impact of a direct channel on the choice of absorption versus direct costing using cost-based transfer price," MPRA Paper 92643, University Library of Munich, Germany, revised 10 Mar 2019.
    13. Elges, Carsten, 2016. "Die Preissetzung in Unternehmenskooperationen: Erste spieltheoretische Überlegungen," Arbeitspapiere 162, University of Münster, Institute for Cooperatives.
    14. Anil Arya & Brian Mittendorf & Dae-Hee Yoon, 2008. "Friction in Related-Party Trade When a Rival Is Also a Customer," Management Science, INFORMS, vol. 54(11), pages 1850-1860, November.
    15. V. G. Narayanan & Michael Smith, 2000. "Impact of Competition and Taxes on Responsibility Center Organization and Transfer Prices," Contemporary Accounting Research, John Wiley & Sons, vol. 17(3), pages 497-529, September.
    16. Eklin, Mark & Arzi, Yohanan & Shtub, Avraham, 2009. "Model for cost estimation in a finite-capacity stochastic environment based on shop floor optimization combined with simulation," European Journal of Operational Research, Elsevier, vol. 194(1), pages 294-306, April.
    17. Eric W. Chan & Jeremy B. Lill & Victor S. Maas, 2023. "Promote Internally or Hire Externally? The Role of Gift Exchange and Performance Measurement Precision," Journal of Accounting Research, Wiley Blackwell, vol. 61(2), pages 493-530, May.
    18. Arturs Kalnins, 2017. "Pricing Variation Within Dual-Distribution Chains: The Different Implications of Externalities and Signaling for High- and Low-Quality Brands," Management Science, INFORMS, vol. 63(1), pages 139-152, January.
    19. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    20. Graziano Coller & Paolo Collini, 2015. "The optimality of full-cost pricing: a simulation analysis of the price-adjustment dynamics," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 157-191, August.

    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:inm:ormnsc:v:54:y:2008:i:10:p:1715-1730. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.