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Managing academic performance by optimal resource allocation

Author

Listed:
  • Alexander Grigoriev

    (Maastricht University School of Business and Economics
    Novosibirsk State University)

  • Olga Mondrus

    (HSE University)

Abstract

In this paper, we develop and study a complex data-driven framework for human resource management enabling (i) academic talent recognition, (ii) researcher performance measurement, and (iii) renewable resource allocation maximizing the total output of a research unit. Suggested resource allocation guarantees the optimal output under strong economic assumptions: the agents are rational, collaborative and have no incentives to behave selfishly. In reality, however, agents often play strategically maximizing their own utilities, e.g., maximizing the resources assigned to them. This strategic behavior is typically mitigated by implementation of performance-driven or uniform resource allocation schemes. Next to the framework presentation, we address the cost of such mitigation.

Suggested Citation

  • Alexander Grigoriev & Olga Mondrus, 2022. "Managing academic performance by optimal resource allocation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2433-2453, May.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:5:d:10.1007_s11192-022-04342-5
    DOI: 10.1007/s11192-022-04342-5
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    References listed on IDEAS

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