Operational Research and Artificial Intelligence Methods in Banking

Michalis Doumpos; Constantin Zopounidis; Dimitrios Gounopoulos; Emmanouil Platanakis; Wenke Zhang

doi:10.1016/j.ejor.2022.04.027

Operational Research and Artificial Intelligence Methods in Banking

Michalis Doumpos, Constantin Zopounidis, Dimitrios Gounopoulos, Emmanouil Platanakis, Wenke Zhang

Research output: Contribution to journal › Review article › peer-review

47 Citations (SciVal)

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Abstract

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.

Original language	English
Pages (from-to)	1-16
Number of pages	16
Journal	European Journal of Operational Research
Volume	306
Issue number	1
Early online date	28 Apr 2022
DOIs	https://doi.org/10.1016/j.ejor.2022.04.027
Publication status	Published - 1 Apr 2023

Keywords

Artificial Intelligence
Operational research
Banking

ASJC Scopus subject areas

Management Science and Operations Research
Finance
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ejor.2022.04.027Licence: CC BY-NC-ND

Cite this

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abstract = "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.",

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T1 - Operational Research and Artificial Intelligence Methods in Banking

AU - Doumpos, Michalis

AU - Zopounidis, Constantin

AU - Gounopoulos, Dimitrios

AU - Platanakis, Emmanouil

AU - Zhang, Wenke

PY - 2023/4/1

Y1 - 2023/4/1

N2 - 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.

AB - 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.

KW - Artificial Intelligence

KW - Operational research

KW - Banking

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JO - European Journal of Operational Research

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Operational Research and Artificial Intelligence Methods in Banking

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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