Results 71 to 80 of about 112,889 (239)

Intelligent Financial Fraud Detection Practices: An Investigation

, 2015
Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has compounded the
B Bai, B Hoogs, C Holton, C Whitrow, CA Paasch, D Sánchez, D Zhang, E Duman, E Kirkos, E Ngai, FH Glancy, HC Koh, I Yeh, J Pinquet, JE Sohl, JT Quah, L Bermúdez, M Cecchini, M Jans, P Ravisankar, S Bhattacharyya, S Panigrahi, S Viaene, SL Humpherys, V Vatsa, W Zhou, W-S Yang   +26 more
core   +1 more source

Do Just Energy Transition Partnerships collide or converge with substantive investment law standards? Case studies from Indonesia and Vietnam

Review of European, Comparative &International Environmental Law, EarlyView.
Abstract Just Energy Transition Partnerships (JETPs) are novel financing mechanisms that encourage coal‐dependent emerging economies to transition away from fossil fuels. JETPs aim to facilitate coal phaseout and transitions to renewable energy through private and public financing.
Francine Hug
wiley   +1 more source

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach

Big Data and Cognitive Computing
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor, John Adejoh   +5 more
doaj   +1 more source

EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES [PDF]

Proceedings on Engineering Sciences
The rapid expansion of communication systems and computing technology has led to a significant increase in both traditional and online credit card transactions. Unfortunately, this surge has also resulted in a corresponding rise in fraudulent activities,
Chanda Sekhar Kolli , Venkata Naga Raju D , Pavan Kumar V , Srinivasa Rao D , Vinay , GAKS Rajeev kumarraju   +5 more
doaj   +1 more source

When Business Breaks the Rules: The Value of a Criminology‐Informed “Organizational” Perspective for the Regulation of White‐Collar and Corporate Crimes

Regulation &Governance, EarlyView.
ABSTRACT This article argues that if the aspiration is to enhance regulatory and governance responses to white‐collar and corporate crimes, consideration of the organization of these offending behaviors must be central to the scholarly, practice, and policy discussion.
Nicholas Lord, Michael Levi
wiley   +1 more source

Machine Learning-Based Cyber Fraud Detection: A Comparative Study of Resampling Methods for Imbalanced Credit Card Data

Applied Sciences
The prevalence of online transactions and extensive adoption of credit card payments have contributed to the escalation of credit card cyber fraud in modern society.
Eyad Btoush, Thaeer Kobbaey, Hatem Tamimi, Xujuan Zhou   +3 more
doaj   +1 more source

Informal Firms' Adoption and Use of Mobile Money Under Uncertain Times: Evidence From Burkina Faso

Review of Development Economics, EarlyView.
ABSTRACT This paper investigates how uncertainty affects mobile money adoption and use by informal businesses. Despite the prevalence of the informal sector in developing countries and the recognized potential of mobile money for financial inclusion, empirical research on its adoption and usage among unregistered businesses is limited.
Serge Stéphane Ky, Clovis Rugemintwari
wiley   +1 more source

Bridging Economic and Psychological Perspectives on Financial Resilience: An Integrative Review and Research Agenda

International Journal of Consumer Studies, Volume 50, Issue 2, March 2026.
ABSTRACT Scholarly interest in financial resilience has grown significantly over the past decade, yet the literature remains fragmented, marked by conceptual ambiguity and methodological inconsistencies. This integrative review critically synthesizes research on how consumers recover from financial shocks, bridging economic and psychological ...
Matteo Robba, Carmela Aprea, Paola Iannello, Angela Sorgente   +3 more
wiley   +1 more source

A Hybrid Deep Learning Ensemble Model for Credit Card Fraud Detection

IEEE Access
The rising volume of online transactions has concurrently increased the incidence of credit card fraud, presenting severe challenges to financial institutions and consumers alike.
Emmanuel Ileberi, Yanxia Sun
doaj   +1 more source

Electronic fraud detection in the U.S. Medicaid Healthcare Program: lessons learned from other industries [PDF]

, 2011
It is estimated that between $600 and $850 billion annually is lost to fraud, waste, and abuse in the US healthcare system,with $125 to $175 billion of this due to fraudulent activity (Kelley 2009).
Hillegersberg, Jos van, Müller, Roland M., Thornton, Dallas, Travaille, Peter   +3 more
core   +3 more sources