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Sustainability 2016, 8(7), 600; doi:10.3390/su8070600

Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection

Quality Management Operation Department, Defense Agency for Technology and Quality, 420 Dongjin-ro, Jinju-si, Gyeongsangnam-do 660-031, Korea
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Ioppolo
Received: 24 April 2016 / Revised: 23 June 2016 / Accepted: 23 June 2016 / Published: 27 June 2016
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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Stepwise benchmark target selection in data envelopment analysis (DEA) is a realistic and effective method by which inefficient decision-making units (DMUs) can choose benchmarks in a stepwise manner. We propose, for the construction of a benchmarking network (i.e., a network structure consisting of an alternative sequence of benchmark targets), an approach that integrates the cross-efficiency DEA, K-means clustering and context-dependent DEA methods to minimize resource improvement pattern inconsistency in the selection of the intermediate benchmark targets (IBTs) of an inefficient DMU. The specific advantages and overall effectiveness of the proposed method were demonstrated by application to a case study of 34 actual container terminal ports and the successful determination of the stepwise benchmarking path of an inefficient DMU. View Full-Text
Keywords: data envelopment analysis (DEA); benchmarking network; efficiency; multi-criteria data envelopment analysis (DEA); benchmarking network; efficiency; multi-criteria

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Park, J.; Sung, S.-I. Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection. Sustainability 2016, 8, 600.

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