Results 41 to 50 of about 2,870,976 (298)
FraudGraph-X: A Multimodal Graph Neural Framework for Behavioral Fraud Detection [PDF]
The complexity and volume of transactional data has expanded due to the rapid growth of digital financial services, which has opened the door to new types of sophisticated fraud.
Yatoo Nuzhat Ahmad +3 more
doaj +1 more source
A machine learning based credit card fraud detection using the GA algorithm for feature selection
The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
doaj +1 more source
Blockchain Technology and the Circular Economy Transition: Associations With Company Performance
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
The proliferation of internet services in various industries, especially the financial sector, has increased financial fraud. Fraud detection and prevention are critical to protecting both individuals and organizations from significant financial loss ...
Vikas R. Shetty +2 more
doaj +1 more source
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
Crowdsourcing for click fraud detection [PDF]
Abstract Mobile ads are plagued with fraudulent clicks which is a major challenge for the advertising community. Although popular ad networks use many techniques to detect click fraud, they do not protect the client from possible collusion between publishers and ad networks. In addition, ad networks are not able to monitor the user’s activity for click
Riwa Mouawi +3 more
openaire +2 more sources
Neural data mining for credit card fraud detection [PDF]
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core
Complex Firms, Controversial Outcomes: Global Evidence on ESG Failures and Remedies
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
Modeling interdependencies in fraud detection: a graph embedding-based approach
The growing incidence of fraud has made fraud detection a critical and essential focus for many companies and organizations. Fraud can often be traced based on the relationships between parties, such as fraudsters, collaborators, or victims ...
Shahla Mardani +2 more
doaj +1 more source
Elaborating the Motivations and Attitudes Driving Interest in Voluntary Biodiversity Credits
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

