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Maximizing the probability of realizing profit targets versus maximizing expected profits: A reconciliation to resolve an agency problem

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  • Kamrad, Bardia
  • Ord, Keith
  • Schmidt, Glen M.

Abstract

It is generally accepted in the operations literature that a firm should strive to maximize its expected profit. However, in practice it is not uncommon for a firm to offer a bonus to managers for achieving some pre-established target profit, possibly yielding managerial actions that differ from the profit-maximizing approach (given a profit target, we assume managers will maximize the probability of reaching that target). We use the Newsvendor framework to illustrate how the firm's shareholders (e.g., through its board of directors) can align these two seemingly different decision approaches: maximizing expected profit versus maximizing the probability of reaching a target profit. Alignment is achieved by setting what we call an “aligned profit target” (APT) – a target profit that yields the same managerial action namely, the same stocking quantity, across both decision approaches. We find that the APT should typically be an aggressive profit target, one that is significantly higher than the maximum expected profit, with a corresponding low probability of achievement – this result is consistent across demand distributions with light tails (uniform), moderate tails (normal) and heavy tails (lognormal). Notably, the aggressive APT target should be distinguished from any target that the firm might set to signal future profit expectations to financial analysts.

Suggested Citation

  • Kamrad, Bardia & Ord, Keith & Schmidt, Glen M., 2021. "Maximizing the probability of realizing profit targets versus maximizing expected profits: A reconciliation to resolve an agency problem," International Journal of Production Economics, Elsevier, vol. 238(C).
  • Handle: RePEc:eee:proeco:v:238:y:2021:i:c:s0925527321001304
    DOI: 10.1016/j.ijpe.2021.108154
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    References listed on IDEAS

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    1. Khouja, Moutaz, 1999. "The single-period (news-vendor) problem: literature review and suggestions for future research," Omega, Elsevier, vol. 27(5), pages 537-553, October.
    2. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    3. Guay, Wayne R. & Kepler, John D. & Tsui, David, 2019. "The role of executive cash bonuses in providing individual and team incentives," Journal of Financial Economics, Elsevier, vol. 133(2), pages 441-471.
    4. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, December.
    5. Diwakar Gupta & William L. Cooper, 2005. "Stochastic Comparisons in Production Yield Management," Operations Research, INFORMS, vol. 53(2), pages 377-384, April.
    6. Srinivas Bollapragada & Thomas E. Morton, 1999. "Myopic Heuristics for the Random Yield Problem," Operations Research, INFORMS, vol. 47(5), pages 713-722, October.
    7. Lambert, Ra & Larcker, Df, 1987. "An Analysis Of The Use Of Accounting And Market Measures Of Performance In Executive-Compensation Contracts," Journal of Accounting Research, Wiley Blackwell, vol. 25, pages 85-129.
    8. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    9. Bennett, Benjamin & Bettis, J. Carr & Gopalan, Radhakrishnan & Milbourn, Todd, 2017. "Compensation goals and firm performance," Journal of Financial Economics, Elsevier, vol. 124(2), pages 307-330.
    10. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    11. Lucy Gongtao Chen & Daniel Zhuoyu Long & Georgia Perakis, 2015. "The Impact of a Target on Newsvendor Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 78-86, February.
    12. E. Sankarasubramanian & S. Kumaraswamy, 1983. "Note---Note on "Optimal Ordering Quantity to Realize a Pre-Determined Level of Profit"," Management Science, INFORMS, vol. 29(4), pages 512-514, April.
    13. Tatsiana Levina & Yuri Levin & Jeff McGill & Mikhail Nediak, 2009. "Dynamic Pricing with Online Learning and Strategic Consumers: An Application of the Aggregating Algorithm," Operations Research, INFORMS, vol. 57(2), pages 327-341, April.
    14. Healy, Paul M., 1985. "The effect of bonus schemes on accounting decisions," Journal of Accounting and Economics, Elsevier, vol. 7(1-3), pages 85-107, April.
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