A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations

Mohsen Afsharian ()
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Mohsen Afsharian: Technische Universität Braunschweig

Annals of Operations Research, 2020, vol. 288, issue 2, No 7, 700 pages

Abstract: Abstract In many empirical applications of data envelopment analysis models, a central body manages a set of similar decision making units (DMUs), which are organised into a few distinct groups. This grouping is often used in order to ensure that the DMUs have enough flexibility to effectively fulfill the demands of their local customers in line with the group assignments and according to the different environmental constraints. While the central management in such organisations faces information asymmetry concerning the operating costs of the units, it wishes to incentivise them through benchmarking to operate as efficiently as possible. This paper extends previous literature in this area to account for heterogeneity among operating units and the need for central management to cope with asymmetry of information in managing such organisations. Within this approach, inefficient units are required to improve performance in a manner which most closely reflects their own output profiles and cost structures within their groups. Operating units which are identified to be efficient are also incentivised by some reward consistent with the level of their impact on the efficiency of their groups. Data from KONE Corporation, which is internationally renowned as one of the leaders in the elevator and escalator industry, are used to illustrate the proposed method as well as to compare the results with those obtained by the existing “decentralised” and “centralised” systems of incentives in the literature.

Keywords: Data envelopment analysis (DEA); Centrally managed multi-group organisations; Metafrontier; Incentive regulation; The elevator and escalator industry (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10479-019-03201-6

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