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Frontier-based incentive mechanisms for allocating common revenues or fixed costs

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  • An, Qingxian
  • Tao, Xiangyang
  • Xiong, Beibei
  • Chen, Xiaohong

Abstract

In practice, allocating common revenues or fixed costs is a common practice in multi-unit organizations to motivate subunits to improve performance. Recently, Dai et al. (2021, EJOR) developed an incentive approach for allocating common revenues or fixed costs. We identify two shortcomings of their approach and propose two frontier-based incentive mechanisms for allocating common revenues or fixed costs. First, the incentive common revenue allocation (ICRA) and incentive fixed cost allocation (IFCA) are conceptualized. On the basis of ICRA and IFCA, the generalized incentive efficiency measures that satisfy strong monotonicity and self-excluded in technology are identified to evaluate subunit performances. To seek for incentive efficiency measures, several ex-post technologies with frontier change rate (FCR) are considered. Different technologies are formulated for the information asymmetry situation, in which FCR is not available to subunits when they select production mixes, and the information symmetry situation, in which FCR is available to subunits when they select production mixes. We elucidate that the formulated technologies are applicable to derive corresponding incentive efficiency measures. ICRA and IFCA are then obtained via the concept of efficiency proportion. Subsequently, the mechanisms for information asymmetry situation and information symmetry situation are summarized, and several theorems and interesting observations of the proposed mechanisms are reported. Finally, we illustrate our proposed mechanisms for allocating common revenues or fixed costs using data from a home appliance enterprise in China.

Suggested Citation

  • An, Qingxian & Tao, Xiangyang & Xiong, Beibei & Chen, Xiaohong, 2022. "Frontier-based incentive mechanisms for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 302(1), pages 294-308.
  • Handle: RePEc:eee:ejores:v:302:y:2022:i:1:p:294-308
    DOI: 10.1016/j.ejor.2021.12.039
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    1. An, Qingxian & Zhang, Qiaoyu & Tao, Xiangyang, 2023. "Pay-for-performance incentives in benchmarking with quasi S-shaped technology," Omega, Elsevier, vol. 118(C).

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