Results 51 to 60 of about 22,315 (263)
A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
, 2021 The technological revolution is accelerating due to a number of key enabling technologies, such as Artificial Intelligence (AI)/Machine Learning (ML), big data, blockchain, cloud computing, Internet of Thing (IoT).
KC Chan +9 more
core +1 more source
The Degradation of Access‐Based Business Models: Customer Misbehavior and Shared Mobility
Business Strategy and the Environment, EarlyView.ABSTRACT Access‐based services are considered one of the strategies to embed sustainability in business models. Yet, because the evolution of these business models has been overlooked, we do not know whether their promise to create triple value is sustained.
Andres Camacho, Carmen Valor
wiley +1 more source
A Review of Artificial Intelligence for Financial Fraud Detection
Applied SciencesFinancial fraud has expanded rapidly with the growth of the digital economy, evolving from conventional transactional misconduct to more complex and data-intensive forms. Traditional rule-based detection methods are increasingly inadequate for addressing
Haiquan Yang +2 more
doaj +1 more source
Complex Systems Informatics and Modeling Quarterly, 2019 Financial industries are undergoing a digital transformation of their products, services, overall business models. Part of this digitalization in banking aims at automating most of the manual work in payment handling and integrating the workflows of ...
Alexander Diadiushkin +2 more
doaj +1 more source
Corporate Decarbonization via Technology and Management
Business Strategy and the Environment, EarlyView.ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
Multi-view graph neural network for fraud detection algorithm
Tongxin xuebao, 2022 Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-view ...
Zhuo CHEN, Miao ZHU, Junwei DU
doaj +2 more sources
An Effective Early Fraud Detection Method for Online Auctions
, 2013 While online auctions continue to increase, so does the incidence of online auction fraud. To avoid discovery, fraudsters often disguise themselves as honest members by imitating normal trading behaviors.
莊秉諺; Jhuang, Bing-Yan +2 more
core +1 more source
Machine learning applications for Fraud Detection in finance sector
, 2022 Due to advances in information technology, instantaneous accessibility to financial services through digital channels has increased. Although digital platforms’ usage makes an individual’s life more comfortable, it may also cause some critical ...
Bozyiğit, Fatma +1 more
core +1 more source
Blockchain Technology and the Circular Economy Transition: Associations With Company Performance
Business Strategy and the Environment, EarlyView.ABSTRACT The adoption of circular economy (CE) practices in the private sector has received increasing academic and managerial attention, although the implementation of such practices continues to face significant barriers. Among Industry 4.0 technologies, blockchain has been identified as a potential factor associated with the CE transition.
Josep Llach +3 more
wiley +1 more source
Frontiers in Artificial IntelligenceFraud in Savings and Credit Cooperative Organizations (SACCOs) remains a major challenge that undermines financial inclusion and sustainability in developing countries.
Dalton Ampumuza +2 more
doaj +1 more source