Results 81 to 90 of about 274,113 (349)
交大法學評論, 2019 Chairman, Insurance Anti-fraud Institute; Adjunct Associate Professor, School of Law, National Chiao Tung University; Ph.D. in Law, National Taiwan University.
黃天牧 Tien-Mu Huang +1 more
doaj +1 more source
World Journal of Advanced Engineering Technology and SciencesAdaptive machine learning models are revolutionizing real-time financial fraud prevention in dynamic environments, offering unparalleled accuracy and responsiveness to evolving fraud patterns.
Halima Oluwabunmi Bello +2 more
semanticscholar +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Implementing digital technologies is touted as the next big step for the firms aiming to improve sustainability in their supply chains. These technologies are often credited with the potential to improve transparency and achieve sustainability.
Amna Farrukh, Aqeel Ahmed, Sadaat Yawar
wiley +1 more source
Why Do They Do It? A Comprehensive Review of the Fraud Triangle and the Fraud Diamond Among Fraud Offenders [PDF]
Educaţia 21This theoretical article addresses the fraud triangle and fraud diamond as explanations for fraudulent crimes. In the 1930s, Sutherland defined Sutherland fraud as a unique act, committed for personal gain, and called it “white-collar crime.” The most ...
Miri Aphek, Daniela Cojocaru
doaj +1 more source
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
Big Data Mining and Analytics: The e-commerce industry’s rapid growth, accelerated by the COVID-19 pandemic, has led to an alarming increase in digital fraud and associated losses. To establish a healthy e-commerce ecosystem, robust cyber security and anti-fraud measures are crucial.
Abed Mutemi, F. Bação
semanticscholar +1 more source
Fraud detection: A systematic literature review of graph-based anomaly detection approaches
Decision Support Systems, 2020 Graph-based anomaly detection (GBAD) approaches are among the most popular techniques used to analyze connectivity patterns in communication networks and identify suspicious behaviors.
T. Pourhabibi +3 more
semanticscholar +1 more source
Complex Firms, Controversial Outcomes: Global Evidence on ESG Failures and Remedies
Business Strategy and the Environment, EarlyView.ABSTRACT We examine whether business complexity increases firms' exposure to negative environmental, social, and governance (ESG) outcomes, specifically ESG controversies, using a global panel of firms from 37 countries over the period 2002–2021.
Abongeh A. Tunyi +3 more
wiley +1 more source
Application of Machine Learning-Based K-means Clustering for Financial Fraud Detection
Academic Journal of Science and TechnologyIn today's increasingly digital financial landscape, the frequency and complexity of fraudulent activities are on the rise, posing significant risks and losses for both financial institutions and consumers.
Zengyi Huang +3 more
semanticscholar +1 more source
Elaborating the Motivations and Attitudes Driving Interest in Voluntary Biodiversity Credits
Business Strategy and the Environment, EarlyView.ABSTRACT Global biodiversity loss has prompted the search for new sources of conservation finance, such as voluntary biodiversity credits (VBCs). However, despite optimistic market projections, current uptake of VBCs is limited. Adopting an interpretive approach, we analyse 21 semistructured interviews with early market actors (buyers, sellers ...
Gamze Yakar‐Pritchard +5 more
wiley +1 more source
Beyond the ESG Facade: Measuring and Addressing Corporate ‘Lip Service’
Business Strategy and the Environment, EarlyView.ABSTRACT Amid growing global attention to environmental, social and governance (ESG), this study examines the misalignment between ESG disclosures and actual practices—termed ‘lip service’—using data from Chinese firms from 2006 to 2022, constructing an index to quantify it.
Jia Xu, Mingwei Liu, Helen X. H. Bao
wiley +1 more source