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DEA in Banking: Analysis and Visualization of Bibliometric Data

Author

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  • Violeta Cvetkoska
  • Gordana Savic

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.

Suggested Citation

  • Violeta Cvetkoska & Gordana Savic, 2021. "DEA in Banking: Analysis and Visualization of Bibliometric Data," Data Envelopment Analysis Journal, now publishers, vol. 5(2), pages 455-485, August.
    • Handle: RePEc:now:jnldea:103.00000044
    DOI: 10.1561/103.00000044
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    Cited by:

    1. S. M. Shamsul Alam & Mohammad Abdul Matin Chowdhury & Dzuljastri Bin Abdul Razak, 2021. "Research evolution in banking performance: a bibliometric analysis," Future Business Journal, Springer, vol. 7(1), pages 1-19, December.
    2. Violeta Cvetkoska & Katerina Fotova Čiković & Marija Tasheva, 2021. "Efficiency of Commercial Banking in Developing Countries," Mathematics, MDPI, vol. 9(14), pages 1-21, July.

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