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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/25258| Title: | Leveraging machine learning in the global fight against money laundering and terrorism financing: an affordances perspective |
| Authors: | Canhoto, A |
| Keywords: | big data;artificial intelligence;machine learning;algorithm;customer profiling;financial services;anti-money laundering;United Nations;sustainable development goals |
| Issue Date: | 17-Oct-2021 |
| Publisher: | Elsevier |
| 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/25258 |
| DOI: | https://doi.org/10.1016/j.jbusres.2020.10.012 |
| ISSN: | 0148-2963 |
| Appears in Collections: | Brunel Business School Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 17 October 2023 | 877.34 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
