DEA in Banking: Analysis and Visualization of Bibliometric Data

Suggested Citation
Violeta Cvetkoska and Gordana Savic (2021), “DEA in Banking: Analysis and Visualization of Bibliometric Data”, Data Envelopment Analysis Journal: Vol. 5: No. 2, pp 455-485. http://dx.doi.org/10.1561/103.00000044
Publication Date: 17 Aug 2021
© 2021 V. Cvetkoska and G. Savic
 
Subjects
Performance measurement,  Financial markets
 
Keywords
Data envelopment analysis, banking, bibliometric data, visualization

JOURNALS

In this article:
1 Introduction
2 Data and Tools
3 Results on DEA Articles in Banking
4 Analysis of Keywords in DEA Articles in Banking
5 Conclusion
References

Abstract

Data Envelopment Analysis (DEA) is a popular non-parametric frontier methodology for measuring the efficiency of decision-making units (DMUs). DEA has been used widely in the banking industry. There is no reference to country co-authorship and keywords co-occurrence network visualization of DEA in the banking literature. In this study, we examine the DEA literature in banking, taking into account articles published in peer-reviewed journals listed in the Scopus database. We have performed an analysis and visualization of bibliometric data related to 791 DEA articles in banking in the period of 34 years (1986–2019). We show the annual trends of published DEA banking articles, the top journals and authors, citation analysis, and country co-authorship. We have also performed an in-depth keyword visualization analysis and discussed the future trends of DEA in banking.

DOI:10.1561/103.00000044

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