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Operational Research and Artificial Intelligence Methods in Banking

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

Research output: Contribution to journalReview articlepeer-review

128   Link opens in a new tab Citations (SciVal)
32 Downloads (Pure)

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 languageEnglish
Pages (from-to)1-16
Number of pages16
JournalEuropean Journal of Operational Research
Volume306
Issue number1
Early online date28 Apr 2022
DOIs
Publication statusPublished - 1 Apr 2023

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Artificial Intelligence
  • Operational research
  • Banking

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Finance
  • Artificial Intelligence

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