Incentivizing units in centralized systems: A slacks-based approach
Mostafa Davtalab-Olyaie,
Hadis Mahmudi-Baram and
Masoud Asgharian
Journal of the Operational Research Society, 2022, vol. 73, issue 8, 1724-1741
Abstract:
Having based his incentivisation strategy on cost reimbursement, Bogetoft developed an incentive formula. Given that inputs are typically costs, different input-oriented methods were proposed to estimate the parameters of the incentive formula. Recently, several radial-based input-oriented super-efficiency measures have been developed in the centralized resource allocation (CRA) context for estimation of the incentive formula parameters. We show, using examples, that input-oriented incentive methods can lead to unfair incentive mechanisms. It transpires that fair incentive mechanisms can be achieved via non-oriented methods. To this end, we propose an non-oriented slacks-based super-efficiency method in the CRA context using which we estimate the incentive formula parameters. Given that the slacks-based measures can distinguish between weak and strong efficient units, such measures do not suffer from the known deficiencies of the radial CRA-based incentive methods. The validity and applicability of the proposed approach are demonstrated using a real dataset. We consider percentage of relative returns, and use statistical indices and visualization techniques to compare the incentive plans obtained from the proposed method with those resulted from other existing CRA-based incentive methods.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2021.1932620 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:73:y:2022:i:8:p:1724-1741
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2021.1932620
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().