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Book ChapterDOI

Context-Dependent Data Envelopment Analysis and its Use

TLDR
This chapter presents a slack-based context-dependent DEA approach that allows us to fully evaluate the inefficiency in a DMU’s performance.
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.

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Citations
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Journal ArticleDOI

Context-dependent assessment of the efficiency of Lithuanian family farms

TL;DR: In this paper, a context-dependent data envelopment analysis ensures that the observations are stratified with respect to their levels of efficiency, and the latter instance of stratification enables one to draw more reasonable recommendations regarding performance improvements.
Posted Content

Impact of the industry on franchise chain efficiency:a meta-DEA and context-dependent DEA approach

TL;DR: A meta-DEA approach to analyse the impact of the industry in which the franchisor operates its business on its chain efficiency by comparing chain efficiency between and across industries can help franchisors to define their future strategic and managerial orientations.
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI

A procedure for ranking efficient units in data envelopment analysis

TL;DR: In this paper, a modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed, which provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.
Journal ArticleDOI

A slacks-based measure of super-efficiency in data envelopment analysis

TL;DR: This paper addresses the "super-efficiency" issue of Data Envelopment Analysis by using the slacks-based measure (SBM) of efficiency, which the author proposed in his previous paper [European Journal of Operational Research 130 (2001) 498].

A Slacks-based Measure of Super-Efficiency in Data Envelopment Analysis

TL;DR: In this paper, the slacks-based measure (SBM) of efficiency was proposed to discriminate the efficient decision making units (DMUs) based on the existence of slacks.
Journal ArticleDOI

Context-dependent preferences

TL;DR: The authors present a context-dependent model that expresses the value of each option as an additive combination of two components: a contingent weighting process that captures the effect of the background context, and a binary comparison process that describes the local context.
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