Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25258
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCanhoto, A-
dc.date.accessioned2022-10-03T11:06:52Z-
dc.date.available2022-10-03T11:06:52Z-
dc.date.issued2021-10-17-
dc.identifier.citationCanhoto, 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.issn0148-2963-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/25258-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 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.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectbig dataen_US
dc.subjectartificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectalgorithmen_US
dc.subjectcustomer profilingen_US
dc.subjectfinancial servicesen_US
dc.subjectanti-money launderingen_US
dc.subjectUnited Nationsen_US
dc.subjectsustainable development goalsen_US
dc.titleLeveraging machine learning in the global fight against money laundering and terrorism financing: an affordances perspectiveen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.jbusres.2020.10.012-
dc.relation.isPartOfJournal of Business Research-
pubs.publication-statusPublished-
dc.identifier.eissn1873-7978-
dc.rights.holderElsevier Inc.-
Appears in Collections:Brunel Business School Embargoed Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfEmbargoed until 17 October 2023877.34 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons