Anti‐money laundering and financial fraud detection: A systematic literature review

Lucas Schmidt Goecks, André Luis Korzenowski, Platão Gonçalves Terra Neto, Davenilcio Luiz de Souza and Taciana Mareth

Intelligent Systems in Accounting, Finance and Management, 2022, vol. 29, issue 2, 71-85

Abstract: Money laundering has affected the global economy for many years, and there are several methods of solving it presented in the literature. However, when tackling money laundering and financial fraud together there are few methods for solving them. Thus, this study aims to identify methods for anti‐money laundering (AML) and financial fraud detection (FFD). A systematic literature review was performed for analysis and research of the methods used, utilizing the SCOPUS and Web of Science databases. Of the 48 articles that aligned with the research theme, 20 used quantitative methods for AML and FFD solution, 13 were literature reviews, 7 used qualitative methods, and 8 used mixed methods. This study contributes by presenting a systematic literature review that fills two research gaps: lack of studies on AML and FFD, and the methods used to solve them. This will assist researchers in identifying gaps and related research.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:wly:isacfm:v:29:y:2022:i:2:p:71-85

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