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Fighting money laundering with technology: a case study of Bank X in the UK

Demetis, Dionysios S.

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Abstract

This paper presents a longitudinal interpretive case study of a UK bank’s efforts to combat Money Laundering (ML) by expanding the scope of its profiling of ML behaviour. The concept of structural coupling, taken from systems theory, is used to reflect on the bank’s approach to theorize about the nature of ML-profiling. The paper offers a practical contribution by laying a path towards the improvement of money laundering detection in an organizational context while a set of evaluation measures is extracted from the case study. Generalizing from the case of the bank, the paper presents a systems-oriented conceptual framework for ML monitoring.

Citation

Demetis, D. S. (2018). Fighting money laundering with technology: a case study of Bank X in the UK. Decision Support Systems, 105, 96-107. https://doi.org/10.1016/j.dss.2017.11.005

Journal Article Type Article
Acceptance Date Nov 21, 2017
Online Publication Date Dec 2, 2017
Publication Date 2018-01
Deposit Date Dec 1, 2017
Publicly Available Date Jun 3, 2019
Journal Decision support systems
Print ISSN 0167-9236
Electronic ISSN 1873-5797
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 105
Pages 96-107
DOI https://doi.org/10.1016/j.dss.2017.11.005
Keywords Money laundering; Systems theory; Transaction monitoring systems; Profiling
Public URL https://hull-repository.worktribe.com/output/481454
Publisher URL https://www.sciencedirect.com/science/article/pii/S0167923617302178
Copyright Statement ©2019, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Additional Information This article is maintained by: Elsevier; Article Title: Fighting money laundering with technology: A case study of Bank X in the UK; Journal Title: Decision Support Systems; CrossRef DOI link to publisher maintained version: http://dx.doi.org/10.1016/j.dss.2017.11.005; Content Type: article; Copyright: © 2017 Elsevier B.V. All rights reserved.

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