Incentivizing centrally regulated units to improve performance: Pitfalls and requirements

Abstract

This paper explores the foundations for developing incentives for influencing units operating within centrally managed organizations. We begin by laying out the theory of managerial control in principal-agent contexts and draw from the incentive mechanisms developed in the related field of economic regulation. In particular, we highlight issues, differences and similarities in three recently proposed approaches under these circumstances, not only to compare them, but more importantly to motivate and arrive at requirements that should be met by incentivization systems in centrally managed multi-unit organizations. The stipulated requirements are not intended to be exhaustive but rather aim at defining conceptual foundations for further discussions and encouraging avenues for future research in this field. Our investigations are supported by graphical examples and an analysis of empirical data from banking.

Publication DOI: https://doi.org/10.1080/01605682.2023.2197931
Divisions: College of Business and Social Sciences > Aston Business School
Additional Information: Copyright © Operational Research Society 2023. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of the Operational Research Society on 28th April 2023, available at: https://doi.org/10.1080/01605682.2023.2197931 Funding Information: This work was supported by the Deutsche Forschungs-gemeinschaft (DFG) in the context of the research fund AH 90/5-3.
Uncontrolled Keywords: data envelopment analysis,central management,incentive regulation,incentivization mechanism
Publication ISSN: 1476-9360
Last Modified: 18 Nov 2024 08:41
Date Deposited: 08 Jun 2023 10:32
Full Text Link:
Related URLs: https://www.tan ... 82.2023.2197931 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-04-28
Published Online Date: 2023-04-28
Accepted Date: 2023-03-02
Authors: Afsharian, Mohsen
Ahn, Heinz
Thanassoulis, Emmanuel (ORCID Profile 0000-0002-3769-5374)

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