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Operational research and artificial intelligence methods in banking
Operational research and artificial intelligence methods in banking
- Source :
- Doumpos, M, Zopounidis, C, Gounopoulos, D, Platanakis, E & Zhang, W 2022, ' Operational Research and Artificial Intelligence Methods in Banking ', European Journal of Operational Research, pp. 1-52 . https://doi.org/10.1016/j.ejor.2022.04.027, https://doi.org/10.1016/j.ejor.2022.04.027
- Publication Year :
- 2023
- Publisher :
- Elsevier BV, 2023.
-
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.
- Subjects :
- Information Systems and Management
General Computer Science
Management Science and Operations Research
Operational research
Banking
Industrial and Manufacturing Engineering
SDG 3 - Good Health and Well-being
Artificial Intelligence
Modeling and Simulation
SDG 9 - Industry, Innovation, and Infrastructure
Finance
Subjects
Details
- ISSN :
- 03772217
- Volume :
- 306
- Database :
- OpenAIRE
- Journal :
- European Journal of Operational Research
- Accession number :
- edsair.doi.dedup.....829bb9a5b64fbabf26436244dae691e1
- Full Text :
- https://doi.org/10.1016/j.ejor.2022.04.027