Results 81 to 90 of about 5,629 (259)
Fraud diamond analysis in detecting financial statement fraud [PDF]
This study aimed to analyze the factors used to detect financial statement fraud from a fraud diamond perspective. It tried to find out the effect of pressure proxied by financial targets, opportunity proxied by ineffective monitoring, rationalization proxied by change in auditors, and capability proxied by director change on financial statement fraud.
openaire +2 more sources
Shareholder Coordination and Waste Management
ABSTRACT This study examines how shareholder coordination relates to corporate waste management. Drawing on 1059 firm‐year observations from S&P 500 firms between 2010 and 2022, we show that higher levels of coordination among shareholders correspond to reduced waste generation. This effect is more pronounced in firms whose coordinated shareholders are
Mohamed Khalifa
wiley +1 more source
CEO Managerial Ability and the Strategic Repetition of Climate Disclosures
ABSTRACT This study examines whether CEO managerial ability shapes the repetition of firms' climate‐related disclosures in mandatory 10‐K filings. Climate reporting is highly judgment based and central to firms' broader climate‐risk management strategies, yet little is known about why some firms repeatedly use similar climate narratives and others ...
Javad Rajabalizadeh
wiley +1 more source
ABSTRACT Small‐ and medium‐sized enterprises (SMEs) are expected to contribute more significantly to the sustainability agenda. Digital transformation (DT) has the potential to enable SMEs to fulfil their sustainable development goals. However, SMEs encounter unique challenges in leveraging DT for sustainability due to their size, limited resources and
Phuc G. Le +3 more
wiley +1 more source
Real-Time Financial Fraud Detection Using Adaptive Graph Neural Networks and Federated Learning
Detecting financial fraud in real time is an ongoing challenge due to the ever-evolving nature of fraudulent activities. Conventional fraud detection systems rely heavily on static machine learning models, which often struggle to adapt to emerging fraud
Milad Rahmati
doaj
Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms. [PDF]
Zhao Z, Bai T.
europepmc +1 more source
ABSTRACT Financial technology (FinTech) is recognized as an important enabler of sustainable development. However, it presents a fragmented and limited explanation of how FinTech may contribute to achieving the Sustainable Development Goals (SDGs). Through this hybrid systematic review of 93 articles published between 2015 and May 2026, this study ...
Salman Bahoo +4 more
wiley +1 more source
Machine Learning-Based Data Generative Techniques for Credit Card Fraud-Detection Systems
This study investigates the pressing issue of credit card fraud in the context of evolving e-commerce platforms and the necessity for improved fraud detection mechanisms.
Xiaomei Feng, Song-Kyoo Kim
doaj +1 more source
ABSTRACT Given the critical role that banks play in sustainable development through their financial intermediation and capital allocation functions, assessing their sustainability performance has become an increasingly important research issue.
Özcan Işık +3 more
wiley +1 more source
The Sustainability Promise of Industry 4.0 in Supply Chains: A Technology Life Cycle–Aligned Review
ABSTRACT This article aims to investigate the role of information and digital technologies (IDT) of Industry 4.0 (I4.0) for sustainable supply chain management (SSCM). Methodologically, a systematic literature review has been conducted. The review analyzes 104 high‐quality articles, selecting those that belong to high‐impact journals according to the ...
Iván Roca‐Murgado +3 more
wiley +1 more source

