Results 61 to 70 of about 3,889 (172)

Exploring the Agency of Algorithmic Technology in Talent Management Decision‐Making: An Actor‐Network Theory Perspective

Human Resource Management Journal, EarlyView.
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, Vlad Vaiman, Sunghoon Kim   +2 more
wiley   +1 more source

Exploring the Materiality of Data Breach Disclosures on the Australian Stock Exchange

Abacus, EarlyView.
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, Max Baker, Xiaojiao Wang, Monique Sheehan   +3 more
wiley   +1 more source

From Open Banking Regulation to Platform Orchestration: The Evolution of Digital Platform Governance

Information Systems Journal, EarlyView.
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, Daniel Gozman, Barney Tan, Prakash Dhavamani   +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

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

Cyberattacks on Small Banks and the Impact on Local Banking Markets

Journal of Money, Credit and Banking, EarlyView.
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, IVAN LIM, FRANCESCO VALLASCAS   +2 more
wiley   +1 more source

A Methodology for Detecting Credit Card Fraud

, 2021
Fraud detection has appertained to many industries such as banking, retails, financial services, healthcare, etc. As we know, fraud detection is a set of campaigns undertaken to avert the acquisition of illegal means to obtain money or property under ...
Ayorinde, Kayode
core  

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

Review of Research on Digital Financial Literacy: Measurement, Causes, and Impact

Journal of Economic Surveys, EarlyView.
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

Institutional Logics as a Resource and Risk: Logic Deviance and Categorical Penalties in US Community Banks

Journal of Management Studies, EarlyView.
Abstract Can institutional logics be damaging for the same category of actors they are presumed to benefit? Can firms prevent or reduce this detrimental effect? This study integrates the institutional logics perspective with category research to examine these questions in the context of community banks.
Stephen J. Smulowitz, Horacio E. Rousseau, Pino G. Audia   +2 more
wiley   +1 more source