Results 61 to 70 of about 2,431 (186)
ABSTRACT Guided by the Actor‐Network Theory (ANT) perspective, this study explores user experiences with the perceived agency of algorithmic technology in the context of talent management (TM) decisions. Through a qualitative analysis of 11 client companies utilizing algorithmic TM decision‐making technology provided by an HR tech service firm, we ...
Violetta Khoreva +2 more
wiley +1 more source
Exploring the Materiality of Data Breach Disclosures on the Australian Stock Exchange
This study examines Australian Stock Exchange (ASX) data breach announcements to provide insights into the extent and nature of data breach disclosures, as well as the costs, particularly to stakeholder relationships. Using a dataset of all data breach‐related announcements on the ASX, we identify a lack of data breach disclosure and, where disclosures
Jane Andrew +3 more
wiley +1 more source
Cost Sensitive Credit Card Fraud Detection using Bayes Minimum Risk [PDF]
peer reviewedCredit card fraud is a growing problem that affects card holders around the world. Fraud detection has been an interesting topic in machine learning.
OTTERSTEN, Björn +9 more
core +1 more source
From Open Banking Regulation to Platform Orchestration: The Evolution of Digital Platform Governance
ABSTRACT This study contributes to information systems (IS) scholarship by extending platform governance theory to regulatory contexts, explaining how regulatory forces co‐evolve with technological architectures to shape openness and control. This research examines the evolution of platform governance in the context of open banking, where regulatory ...
Priyadharshini Muthukannan +3 more
wiley +1 more source
Credit Card Fraud Detection: A Hybrid Approach
The advancement of technology and the widespread use of online transactions have had a tremendous influence on the financial system, resulting in an increase in credit card-related fraud. This research looks at the effectiveness of a Hybrid Deep Learning
Kolawole, Damilare Abel
core
Machine Learning Techniques for Credit Card Fraud Detection
The term “fraud”, it always concerned about credit card fraud in our minds. And after the significant increase in the transactions of credit card, the fraud of credit card increased extremely in last years.
Khalifa, Wael +3 more
core +1 more source
Cyberattacks on Small Banks and the Impact on Local Banking Markets
Abstract Cyberattacks on small banks have direct and spillover effects in local markets. Following successful cyberattacks, hacked small banks experience a decline in deposit growth rates. This effect of cyberattacks is not observed in hacked large banks.
FABIAN GOGOLIN +2 more
wiley +1 more source
Novel Machine Learning Based Credit Card Fraud Detection Systems
This research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech.
Xiaomei Feng, Song-Kyoo Kim
doaj +1 more source
An Experimental Study With Imbalanced Classification Approaches for Credit Card Fraud Detection
Credit card fraud is a criminal offense. It causes severe damage to financial institutions and individuals. Therefore, the detection and prevention of fraudulent activities are critically important to financial institutions.
Sara Makki +5 more
doaj +1 more source
Review of Research on Digital Financial Literacy: Measurement, Causes, and Impact
ABSTRACT This literature review comprehensively analyzes the evolving research on digital financial literacy (DFL) and synthesizes findings from 53 articles published between 2005 and 2025. The review was based on a systematic search across major academic databases.
Weiqiang Tan, Wenhao Zhang, Xingyu Zhang
wiley +1 more source

