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http://bura.brunel.ac.uk/handle/2438/27307Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Doumpos, M | - |
| dc.contributor.author | Zopounidis, C | - |
| dc.contributor.author | Gounopoulos, D | - |
| dc.contributor.author | Platanakis, E | - |
| dc.contributor.author | Zhang, W | - |
| dc.date.accessioned | 2023-10-04T11:22:13Z | - |
| dc.date.available | 2023-10-04T11:22:13Z | - |
| dc.date.issued | 2022-04-28 | - |
| dc.identifier.citation | Doumpos, M. et al. (2023) 'Operational research and artificial intelligence methods in banking', European Journal of Operational Research, 306 (1), pp. 1 - 16. doi: 10.1016/j.ejor.2022.04.027. | en_US |
| dc.identifier.issn | 0377-2217 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27307 | - |
| dc.description | Supplementary materials are available online at https://www.sciencedirect.com/science/article/pii/S037722172200337X?via%3Dihub#sec0031 . | en_US |
| dc.description.abstract | Copyright © 2022 The Authors. 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. | en_US |
| dc.format.extent | 1 - 16 | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation | The Authors | - |
| dc.rights | Copyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
| dc.subject | artificial intelligence | en_US |
| dc.subject | operational research | en_US |
| dc.subject | banking | en_US |
| dc.title | Operational research and artificial intelligence methods in banking | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.ejor.2022.04.027 | - |
| dc.relation.isPartOf | European Journal of Operational Research | - |
| pubs.issue | 1 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 306 | - |
| dc.identifier.eissn | 1872-6860 | - |
| Appears in Collections: | Dept of Economics and Finance Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). | 1.09 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
