Anti-money laundering systems: a systematic literature review

Alhanouf Abdulrahman Saleh Alsuwailem and Abdul Khader Jilani Saudagar

Journal of Money Laundering Control, 2020, vol. 23, issue 4, 833-848

Abstract: Purpose - This paper aims to understand and document the state of the art in the anti-money laundering (AML) systems literature. Design/methodology/approach - A systematic literature review (SLR) is performed using the Saudi Digital Library. The outputs published as conference proceedings, workshop proceedings, journal articles and books were all considered. The final sample size after omitting out-of-scope selections was 27 documents, which mainly span from 2015 to 2020. Findings - The sample is discussed based on a categorization, which demarcates solutions, machine learning, data sources, evaluation methods, implementation tools, sampling techniques and regions of study. Originality/value - This SLR could serve as a useful basis for researchers and salient decision-makers, who are seeking to understand the nature and extent of the currently available research into AML systems.

Keywords: Algorithms; Anti-money laundering systems; Detection; Machine learning; Systematic literature review (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jmlcpp:jmlc-02-2020-0018

DOI: 10.1108/JMLC-02-2020-0018

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