Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14681
Title: DEA IN BANKING: ANALYSIS AND VISUALIZATION OF BIBLIOMETRIC DATA
Authors: Cvetkoska, Violeta 
Savic, Gordana
Keywords: Data Envelopment Analysis; banking; bibliometric data; visualization.
Issue Date: 17-Aug-2021
Publisher: Now Publishers, Boston
Source: 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
Journal: Data Envelopment Analysis Journal
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.
URI: http://hdl.handle.net/20.500.12188/14681
DOI: DOI:10.1561/103.00000044
Appears in Collections:Faculty of Economics 03: Journal Articles / Статии во научни списанија

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