Application of Artificial Intelligence in Banking and Finance : Bibliometric Review and Emerging Research Agenda

Authors

  •   Priyanka Gujrati Assistant Professor, Skoda Auto University, Na Karmeli 1457, 293 01 Mladá Boleslav
  •   Jivan Biradar Assistant Professor (Economics), Faculty of Commerce, Dr. Vishwanath Karad MIT World Peace University, Kothrud, Pune - 411 038

DOI:

https://doi.org/10.17010/ijcs/2023/v8/i5/173322

Keywords:

Artificial Intelligence

, banking and finance, bibliometric study, Scopus database, systematic analysis

Paper Submission Date

, August 15, 2023, Paper sent back for Revision, August 27, Paper Acceptance Date, September 4, Paper Published Online, October 5, 2023.

Abstract

Artificial Intelligence (AI) has been growing at the fastest pace during the last few decades. It has affected all sectors directly or indirectly. The application of AI is getting more mature with the passage of time and the banking sector is adopting it intensively. Existing literature in the subject is scattered across all regions of the world. The purpose of this study is to understand major contributions of researchers, subject experts, and the sources along with countries that are actively involved in the area of research. To do the bibliometric study, systematic review of 756 documents published from 1972 to 2021 in Scopus database has been used as it is the largest of all databases available. With this bibliometric analysis, it was found that the USA, China, UK, India, and Taiwan have been the major countries in making extra efforts continuously for unfolding the new possibilities of Artificial Intelligence in the banking and finance sector.

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Published

2023-10-31

How to Cite

Gujrati, P., & Biradar, J. (2023). Application of Artificial Intelligence in Banking and Finance : Bibliometric Review and Emerging Research Agenda. Indian Journal of Computer Science, 8(5), 27–37. https://doi.org/10.17010/ijcs/2023/v8/i5/173322

Issue

Volume 8, Issue 5, September-October 2023

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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