DEA in Banking: Analysis and Visualization of Bibliometric Data

Violeta Cvetkoska and Gordana Savic

Data Envelopment Analysis Journal, 2021, vol. 5, issue 2, 455-485

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.

Keywords: Data envelopment analysis; banking; bibliometric data; visualization (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://dx.doi.org/10.1561/103.00000044 (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:now:jnldea:103.00000044

Access Statistics for this article

More articles in Data Envelopment Analysis Journal from now publishers
Bibliographic data for series maintained by Lucy Wiseman ().