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Parallelism in Information Production: Moral Hazard and Relative Performance Evaluations

Author

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  • Peter Bogetoft

    (DASY, Copenhagen Business School, Julius Thomsens Plads 10, DK-1925 Frederiksberg C, Denmark)

Abstract

We analyse how to design incentive schemes for agents producing information. The agents may, for example, be divisional managers, market researchers, OR consultants, financial analysts, corporate auditors, research scientists or political pollsters. We show that an agent should be compensated more for making a correct rather than an incorrect prediction, and for agreeing rather than disagreeing with colleagues. Depending on the environment, correctness should be compensated more or less than agreement. Also, compensation should increase with the difficulties of making correct or conforming predictions. One consequence of the result is that it may sometimes reduce a principal's total incentive costs to engage with more information producers performing parallel investigations, because the possibility to make relative performance evaluations of the agents may substantially reduce the costs of motivating the agents in performing their duties as desired.

Suggested Citation

  • Peter Bogetoft, 1993. "Parallelism in Information Production: Moral Hazard and Relative Performance Evaluations," Management Science, INFORMS, vol. 39(4), pages 448-457, April.
  • Handle: RePEc:inm:ormnsc:v:39:y:1993:i:4:p:448-457
    DOI: 10.1287/mnsc.39.4.448
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    Citations

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    Cited by:

    1. Antreas D. Athanassopoulos, 1998. "Decision Support for Target-Based Resource Allocation of Public Services in Multiunit and Multilevel Systems," Management Science, INFORMS, vol. 44(2), pages 173-187, February.
    2. Nasim Nasrabadi & Akram Dehnokhalaji & Narsis Kiani & Pekka Korhonen & Jyrki Wallenius, 2012. "Resource allocation for performance improvement," Annals of Operations Research, Springer, vol. 196(1), pages 459-468, July.
    3. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    4. HOSSEINZADEH LOTFI, Farhad & HATAMI-MARBINI, Adel & AGRELL, Per & GHOLAMI, Kobra, 2013. "Centralized resource reduction and target setting under DEA control," LIDAM Discussion Papers CORE 2013005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Adel Hatami-Marbini & Zahra Ghelej Beigi & Hirofumi Fukuyama & Kobra Gholami, 2015. "Modeling Centralized Resources Allocation and Target Setting in Imprecise Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1189-1213, November.
    6. Athanassopoulos, Antreas D., 2004. "Using frontier efficiency models as a tool to re-engineer networks of public sector branches: An application to the Hellenic Tobacco Organization," European Journal of Operational Research, Elsevier, vol. 154(2), pages 533-547, April.

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