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

被引:7
|
作者
Goecks, Lucas Schmidt [1 ]
Korzenowski, Andre Luis [1 ,2 ]
Goncalves Terra Neto, Platao [1 ]
de Souza, Davenilcio Luiz [1 ]
Mareth, Taciana [2 ]
机构
[1] Univ Vale Rio dos Sinos, Polytech Sch, Unisinos Ave Unisinos 950,Off C01 313, BR-93020190 Sao Leopoldo, RS, Brazil
[2] Univ Vale Rio dos Sinos, Sch Management & Business, Unisinos Ave Dr Nilo Pecanha 1600,Off 215F, BR-91330002 Porto Alegre, RS, Brazil
来源
INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT | 2022年 / 29卷 / 02期
关键词
anti-money laundering; financial fraud detection; quantitative methods; systematic review; ANOMALY DETECTION; VISUAL ANALYTICS;
D O I
10.1002/isaf.1509
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页码:71 / 85
页数:15
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