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Review
. 2022;29(7):5397-5426.
doi: 10.1007/s11831-022-09770-3. Epub 2022 Jun 10.

A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends

Ankita Panwar  1 , Maryam Olfati  2 , Millie Pant  1   3 , Vaclav Snasel  2
Affiliations
Review

A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends

Ankita Panwar et al. Arch Comput Methods Eng. 2022.

Abstract

DEA, incepted in 80s, has emerged as a popular decision-making technique, for determining the efficiency of similar units. Due to its simplicity and applicability, DEA has gained the attention of scientists and researchers working in diverse areas, which has contributed towards a rich literature both in terms of theoretical development as well as different applications. This paper tries to bring together the near 40 years of existence of DEA in a concise format by discussing the popular DEA models, their advantages and shortcomings, and different applications of DEA. It also provides a brief bibliometric analysis to highlight the development of DEA over the years in terms of publication trends, highly cited papers, journal citation, etc.

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Conflict of interest statement

Conflict of interestOn behalf of all authors, the corresponding authors states that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
DEA publications since 1980
Fig. 2
Fig. 2
Science index of the DEA
Fig. 3
Fig. 3
Steps of the workflow for reviewing the literature of DEA
Fig. 4
Fig. 4
Efficient frontier of CCR and BCC model
Fig. 5
Fig. 5
Efficient frontier of FDH model
Fig. 6
Fig. 6
Timeline of DEA Models
Fig. 7
Fig. 7
Hybrid DEA models
Fig. 8
Fig. 8
Application of various DEA models
Fig. 9
Fig. 9
Year-wise publication of DEA papers
Fig. 10
Fig. 10
Quantitative analysis of the articles on the basis of article type
Fig. 11
Fig. 11
IF of different journals based on quartiles
Fig. 12
Fig. 12
Number of publications of area of research
See this image and copyright information in PMC

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