[Home ] [Archive]    
:: Volume 16, Issue 1 (Winter 2021) ::
J. Mon. Ec. 2021, 16(1): 1-20 Back to browse issues page
Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM)
Azam Parsaee Tabar1, Neda Abdolvand 1, Saeedeh Rajaee Harandi1
1- Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran
Abstract:   (139 Views)
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.
Keywords: Money Laundering, Trading Organized Crime, Multiple Attribute Decision Making, Hierarchical Analysis, Fuzzy Hierarchical Analysis
Full-Text [PDF 477 kb]   (72 Downloads)    
Type of Study: Original Research - Empirical | Subject: Monetary Economics
Received: 13 Feb 2021 | Accepted: 7 Jul 2021 | Published: 26 Dec 2021
Add your comments about this article
Your username or Email:

CAPTCHA



XML     Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Parsaee Tabar A, Abdolvand N, Rajaee Harandi S. Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM). J. Mon. Ec.. 2021; 16 (1) :1-20
URL: http://jme.mbri.ac.ir/article-1-533-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 16, Issue 1 (Winter 2021) Back to browse issues page
Journal of Money and Economy Journal of Money And Economy
Persian site map - English site map - Created in 0.05 seconds with 28 queries by YEKTAWEB 4374