Results 51 to 60 of about 34,803 (186)

An Investigation of the Relationship Between Central Bank Unconventional Monetary Policy and Bitcoin Activity

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Outlier Mining Methods Based on Graph Structure Analysis [PDF]

, 2019
Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine learning algorithms.
Almeira, Nahuel, Amil Marletti, Pablo, Masoller Alonso, Cristina   +2 more
core   +3 more sources

Credit Card Fraud Detection project

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: For some time, there has been a strong interest in the ethics of banking (Molyneaux, 2007; George, 1992), as well as the moral complexity of fraudulent behavior (Clarke, 1994). Fraud means obtaining services/goods and/or money by unethical means, and is a growing problem all over the world nowadays.
Rashi Saini, Prof. Bipin Pandey
openaire   +1 more source

Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps

Journal of Corporate Accounting &Finance, EarlyView.
ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley   +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

Contrasts or Carryover? Demands–Capabilities Fit and Task‐Level Intrinsic Motivation Across the Workday

Journal of Organizational Behavior, EarlyView.
ABSTRACT In the course of a workday, employees attend to various tasks whose challenge might be equal to, higher than, or lower than employees' present level of capabilities. Moreover, employees encounter these tasks sequentially throughout the day with different levels of prior motivation. Investigating carryover effects in motivation from one task to
Sherry (Qiang) Fu, Anna C. Lennard, Leslie Garza, Lindsey M. Greco, Nikolaos Dimotakis   +4 more
wiley   +1 more source

A Deep Learning Method of Credit Card Fraud Detection Based on Continuous-Coupled Neural Networks

Mathematics
With the widespread use of credit cards in online and offline transactions, credit card fraud has become a significant challenge in the financial sector. The rapid advancement of payment technologies has led to increasingly sophisticated fraud techniques,
Yanxi Wu, Liping Wang, Hongyu Li, Jizhao Liu   +3 more
doaj   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

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