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DC Field | Value | Language |
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dc.contributor.author | Canhoto, A | - |
dc.date.accessioned | 2022-10-03T11:06:52Z | - |
dc.date.available | 2022-10-03T11:06:52Z | - |
dc.date.issued | 2021-10-17 | - |
dc.identifier.citation | Canhoto, A. (2021) 'Leveraging machine learning in the global fight against money laundering and terrorism financing: an affordances perspective', Journal of Business Research, 131, pp. 441 - 452. doi: 10.1016/j.jbusres.2020.10.012. | en_US |
dc.identifier.issn | 0148-2963 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/25258 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2020 Elsevier Inc. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.jbusres.2020.10.012, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | big data | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | machine learning | en_US |
dc.subject | algorithm | en_US |
dc.subject | customer profiling | en_US |
dc.subject | financial services | en_US |
dc.subject | anti-money laundering | en_US |
dc.subject | United Nations | en_US |
dc.subject | sustainable development goals | en_US |
dc.title | Leveraging machine learning in the global fight against money laundering and terrorism financing: an affordances perspective | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.jbusres.2020.10.012 | - |
dc.relation.isPartOf | Journal of Business Research | - |
pubs.publication-status | Published | - |
dc.identifier.eissn | 1873-7978 | - |
dc.rights.holder | Elsevier Inc. | - |
Appears in Collections: | Brunel Business School Embargoed Research Papers |
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FullText.pdf | Embargoed until 17 October 2023 | 877.34 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License