Exploring detection and prevention of money laundering with information technology

GF Aprilia - Journal of Money Laundering Control, 2024 - emerald.com
Purpose Regarding the magnitude of the impact caused by money laundering, the size of
the organization and the many parties involved, this paper aims to explore the methods used …

Collaborative ecosystems: a taxonomy and new research agenda

M Fedele, S D'Amico, G Nevi… - EuroMed Journal of …, 2024 - emerald.com
Purpose The growing interest on ecosystems on both managerial and academic side
reflects a vibrant field of study, nevertheless, the subject is very heterogeneous and in …

Investigating the determinants of money laundering risk

Y Ghulam, B Szalay - Journal of Money Laundering Control, 2023 - emerald.com
Purpose With the growing interconnectedness of global markets brought about by
globalization and technological innovation, there is a heightened worldwide risk of money …

[PDF][PDF] Navigating the complexity of money laundering: anti–money laundering advancements with AI/ML insights

H Gandhi, K Tandon, S Gite, B Pradhan… - International Journal on …, 2024 - sciendo.com
This study explores the fusion of artificial intelligence (AI) and machine learning (ML)
methods within anti–money laundering (AML) frameworks using data from the US Treasury's …

Intelligent Automation Of Fraud Detection And Investigation: A Bibliometric Analysis Approach

L Mahya, T Tarjo, ZM Sanusi… - Jurnal Reviu Akuntansi …, 2023 - ejournal.umm.ac.id
Purpose: This study aims to examine the use of intelligent automation in the process of
detecting and investigating fraud. Methodology/approach: This research is a bibliometric …

Financial fraud in the age of FinTech: a bibliometric analysis for future research agendas

B Pandiya, P Yadav - The Sustainable Fintech Revolution: Building a …, 2023 - igi-global.com
Fintech is a vast domain that includes a wide range of activities, from data security to
financial service delivery, which helps companies automate their business operations and …

A Proposed Paradigm Using Data Mining to Minimize Online Money Laundering

S Ouf, M Ashraf, M Roshdy - Informatica, 2024 - informatica.si
Since the global financial crisis (GFC), banks have been compromised by various risks. One
of the significant risks is online money laundering. It is the third-largest business in the world …

Enterprise Financial Information Management System Based on Data Analysis Algorithm

X Zhou - … Conference on Distributed Computing and Electrical …, 2023 - ieeexplore.ieee.org
How financial management and accounting can be more closely integrated with all aspects
of enterprise production and operation, and how to use modern information management …

Leveraging Artificial Intelligence to Combat Money Laundering and Related Crimes in the South African Banking Sector

H Chitimira, E Torerai, VLM Jana - Potchefstroom Electronic Law …, 2024 - scielo.org.za
Money laundering and related financial crimes, such as fraud and terrorism financing, pose
a significant threat to the integrity and stability of South African financial markets. This article …

Analysis of Banking Fraud Detection Methods through Machine Learning Strategies in the Era of Digital Transactions

A Hanae, G Youssef, E Saida - 2023 7th IEEE Congress on …, 2023 - ieeexplore.ieee.org
Nowadays, electronic banking activities are becoming increasingly popular and are
projected to become much more prevalent as digital financial transaction systems advance …