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Operational research and artificial intelligence methods in banking

Author

Listed:
  • Doumpos, Michalis
  • Zopounidis, Constantin
  • Gounopoulos, Dimitrios
  • Platanakis, Emmanouil
  • Zhang, Wenke
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.

Suggested Citation

  • Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    • Handle: RePEc:eee:ejores:v:306:y:2023:i:1:p:1-16
    DOI: 10.1016/j.ejor.2022.04.027
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    1. Koen W. de Bock & Kristof Coussement & Arno De Caigny & Roman Slowiński & Bart Baesens & Robert N Boute & Tsan-Ming Choi & Dursun Delen & Mathias Kraus & Stefan Lessmann & Sebastián Maldonado & David , 2023. "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda," Post-Print hal-04219546, HAL.
    2. Angilella, Silvia & Doumpos, Michalis & Pappalardo, Maria Rosaria & Zopounidis, Constantin, 2024. "Assessing the performance of banks through an improved sigma-mu multicriteria analysis approach," Omega, Elsevier, vol. 127(C).

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