Operational research and artificial intelligence methods in banking

Banking is a popular topic for empirical and methodological research that applies operational research (OR) and artificial intelligence (AI) methods. This article provides a comprehensive and structured bibliographic survey of OR- and AI-based research devoted to the banking industry over the last d...

Full description

Saved in:
Bibliographic Details
Published inEuropean journal of operational research Vol. 306; no. 1; pp. 1 - 16
Main Authors Doumpos, Michalis, Zopounidis, Constantin, Gounopoulos, Dimitrios, Platanakis, Emmanouil, Zhang, Wenke
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Banking is a popular topic for empirical and methodological research that applies operational research (OR) and artificial intelligence (AI) methods. This article provides a comprehensive and structured bibliographic survey of OR- and AI-based research devoted to the banking industry over the last decade. The article reviews the main topics of this research, including bank efficiency, risk assessment, bank performance, mergers and acquisitions, banking regulation, customer-related studies, and fintech in the banking industry. The survey results provide comprehensive insights into the contributions of OR and AI methods to banking. Finally, we propose several research directions for future studies that include emerging topics and methods based on the survey results.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2022.04.027