Context-Dependent Data Envelopment Analysis and its Use

Hiroshi Morita and Joe Zhu
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Hiroshi Morita: Osaka University
Joe Zhu: Worcester Polytechnic Institute

Chapter Chapter 13 in Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, 2007, pp 241-259 from Springer

Abstract: Abstract Data envelopment analysis (DEA) is a methodology for identifying the efficient frontier of decision making units (DMUs). Context-dependent DEA refers to a DEA approach where a set of DMUs is evaluated against a particular evaluation context. Each evaluation context represents an efficient frontier composed by DMUs in a specific performance level. The context-dependent DEA measures the attractiveness and the progress when DMUs exhibiting poorer and better performance are chosen as the evaluation context, respectively. This chapter also presents a slack-based context-dependent DEA approach. In DEA, nonzero input and output slacks are very likely to present after the radial efficiency score improvement. The slack-based context-dependent DEA allows us to fully evaluate the inefficiency in a DMU’s performance.

Keywords: Data Envelopment Analysis (DEA); Attractiveness; Progress; Value judgment; Slack-based measure; Context-dependent; Benchmarking (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-0-387-71607-7_13

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