Veröffentlichung

Titel:

A cross-inefficiency approach based on the deviation variables framework

AutorInnen:

B. Ebrahimi
L. Dhamotharan
M. R. Ghasemi
V. Charles

Kategorie:

Gesamtverzeichnis

Forschungsthema:

Data Envelopment Analysis

 

Omega, 111 (2022)

Abstract:

This paper presents a solution to the problem of ranking efficient decision-making units (DMUs) in data envelopment analysis (DEA). We develop a cross-inefficiency approach for the deviation variables framework based on a pair of epsilon-based benevolent and aggressive models for both constant and variable returns-to-scale technologies. The new method improves the discriminating power of DEA, solves the non-uniqueness of ranking solutions, and avoids the negative efficiency scores associated with current models in the deviation variables framework. We illustrate the performance of the approach using a real-life case study. Not only does the research improve the discriminating power, but it also encourages the first step towards integrating the deviation variables framework in the context of decision-making uncertainty.

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doi.org/10.1016/j.omega.2022.102668