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Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM)

Author

Listed:
  • Parsaee Tabar , Azam

    (Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran)

  • Abdolvand , Neda

    (Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran)

  • Rajaee Harandi , Saeedeh

    (Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran)

Abstract

Money laundering is among the most common financial crimes that negatively affect countries' economies and hurt their social and political relations. With the increasing growth of e-banking and the increase in electronic financial transactions, the identification of money laundering methods and behaviors has become more complex; because money launderers, by accessing the Internet and using new technologies, find new ways to legalize their illegal income. Although many efforts have been made to identify suspected cases of money laundering and fight against this financial crime, little success has been achieved in this regard, especially in developing countries. Hence, this study tries to identify the risk factors involved in money laundering in banking transactions. To this end, multiple attribute decision-making methods, such as the Shannon entropy method, hierarchical analysis, and two-level fuzzy hierarchical analysis, have been used to assess and score the risk of various transactions in money laundering. The results indicated that the highest risk of money laundering was in the POS transactions.

Suggested Citation

  • Parsaee Tabar , Azam & Abdolvand , Neda & Rajaee Harandi , Saeedeh, 2021. "Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(1), pages 1-20, March.
    • Handle: RePEc:mbr:jmonec:v:16:y:2021:i:1:p:1-20
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    References listed on IDEAS

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    1. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    2. Singh, Kishore & Best, Peter, 2019. "Anti-Money Laundering: Using data visualization to identify suspicious activity," International Journal of Accounting Information Systems, Elsevier, vol. 34(C), pages 1-1.
    3. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    4. Fa-Chang Cheng & Su-Man Wang, 2020. "Information Privacy Protection under Anti-Money Laundering Legislation: An Empirical Study in Taiwan," Mathematics, MDPI, vol. 8(7), pages 1-14, June.
    5. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    6. A. Fronzetti Colladon & E. Remondi, 2021. "Using social network analysis to prevent money laundering," Papers 2105.05793, arXiv.org.
    7. L. Armey & F. Melese, 2018. "Minimizing Public Sector Corruption: The Economics of Crime, Identity Economics, and Money Laundering," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 840-852, November.
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    More about this item

    Keywords

    Money Laundering; Trading Organized Crime; Multiple Attribute Decision Making; Hierarchical Analysis; Fuzzy Hierarchical Analysis;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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