An incentive approach based on data envelopment analysis for intra-organization yardstick competition
Lei Fang
Journal of the Operational Research Society, 2020, vol. 71, issue 1, 153-160
Abstract:
Recently, Varmaz, Varwig, and Poddig (2013) developed a DEA-based Yardstick competition model for intra-organizational incentive mechanisms. Afsharian, Ahn, and Thanassoulis (2017) identified two shortcomings and developed an approach to remedy these shortcomings. However, Afsharian et al.’s (2017) approach cannot comprehensively capture the contribution of each DMU to the overall efficiency of the system. To overcome these shortcomings, we propose a new approach to measure individual's contribution to the system’s overall performance. The applicability of our proposed approach was validated with an empirical study of a German retail bank. This study’s results are compared with those from Varmaz et al.’s (2013) study and Afsharian et al.’s (2017) study. The results indicate that our proposed approach scores over Varmaz et al.’s (2013) approach and Afsharian et al.’s (2017) approach in not only correctly estimating each unit’s contribution to the overall performance but also properly revealing the sources of the contribution.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2018.1527190 (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:71:y:2020:i:1:p:153-160
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2018.1527190
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 ().