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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

The Efficiency of R&D Expenditures in ASEAN Countries

TL;DR: In this paper, the authors evaluated the efficiency of research and development spending in 15 countries in the ASEAN region using the non-parametric Data Envelopment Analysis (DEA) methodology.
Posted ContentDOI

Efficiency and productivity change in the Greek dairy industry.

TL;DR: In this article, the authors evaluated the efficiency and the productivity change of 29 Greek dairy firms, using non parametric approaches, and found that inefficient firms are over-invested and over-exposed to high risk operation practices.
Journal ArticleDOI

Exploring the factors of efficiency in German and Ukrainian wineries

TL;DR: In this article, the authors evaluated and compared the efficiency of winemaking in Germany and Ukraine in order to find the key factors of efficiency of wine business in these countries, including returns to scale, scale efficiency, super-efficiency and some other indicators.
Journal ArticleDOI

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

TL;DR: In this paper, a meta-DEA approach is used 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 (retail versus services).
Journal ArticleDOI

Wine business performance benchmarking: a comparison of German and Ukrainian wineries

TL;DR: In this paper, the authors evaluate and compare the efficiency of wine making in Germany and Ukraine in order to find the controllable factors of wine business performance using benchmarking tools.
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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