Results 51 to 60 of about 2,431 (186)

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

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

Creating a Masterpiece. The Road to (and Beyond) Woodward and Hoffmann's 1969 Angewandte Chemie Treatise

The Chemical Record, EarlyView.
This publication describes how R. B. Woodward and Roald Hoffmann crafted their masterpiece publications. Illustrations include Woodward's first draft of the famous “Violations There are none. Nor can violations be expected of so fundamental a principle of maximum bonding.” Original but discarded text shows the stepwise paths toward the W‐H masterpieces.
Jeffrey I. Seeman
wiley   +1 more source

Credit Card Fraud Detection Analysis using Different Machine Learning Models

, 2022
From the moment the e-commerce payment systems came to existence, there have always been people who will find new ways to access someone’s finances illegally.
Okonna, Mercy
core  

Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models

IEEE Access
Credit card fraud detection remains a significant challenge in the financial industry, necessitating advanced models to identify fraudulent activities while minimizing false positives accurately.
Thi-Thu-Huong Le, Yeonjeong Hwang, Hyoeun Kang, Howon Kim   +3 more
doaj   +1 more source

Producing Fraud at the Welfare‐Migration Nexus: Migrant Families and Children's Social Care

The British Journal of Sociology, EarlyView.
ABSTRACT This article interrogates the production of ‘fraud’ at the interface between welfare and migration regimes. Taking the welfare micropublic of children's social care in the UK as a case study, we focus on encounters between migrant families subject to the ‘no recourse to public funds’ immigration condition and London local authorities.
Eve Dickson, Rachel Rosen
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

Credit Card Fraud Detection: Machine Learning and Deep Learning Advances, Challenges, and Future Directions [PDF]

ITM Web of Conferences
Credit card fraud poses significant risks to financial institutions and cardholders, necessitating robust detection systems. This paper reviews advancements in machine learning and deep learning for credit card fraud detection, including traditional rule-
Bian Chaobo
doaj   +1 more source

Affordances, dread, and online fraud: Exploring and advancing social learning theory in online contexts

Criminology, EarlyView.
Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley   +1 more source

Research on Small-Sample Credit Card Fraud Identification Based on Temporal Attention-Boundary-Enhanced Prototype Network

Mathematics
The Nielsen Report points out that credit card fraud caused business losses of USD 28.65 billion globally in 2019, with the US accounting for more than one-third of the high share, and that insufficient identification of credit card fraud has brought ...
Boyu Liu, Longrui Wu, Shengdong Mu
doaj   +1 more source