Results 81 to 90 of about 4,440,100 (389)
Artificial Intelligence and Environmental, Social, and Governance: A Hybrid Bibliometric Approach
Business Strategy and the Environment, EarlyView.ABSTRACT This study provides a comprehensive overview of research on artificial intelligence (AI) and Environmental, Social, and Governance (ESG) by creating a knowledge map of the field. Using a systematic–bibliometric approach, we quantitatively analyzed a total of 129 documents, which collectively were cited 4276 times (2017–2024).
Qiang (John) Wu +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
An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection [PDF]
, 2023 Daniele Lunghi +3 more
openalex +1 more source
Cost-based Modeling for Fraud and Intrusion Detection: Results from the JAM Project [PDF]
, 2000 We describe the results achieved using the JAM distributed data mining system for the real world problem of fraud detection in financial information systems.
Chan, Philip K. +4 more
core +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT This paper examines the association between environmental, social, and governance (ESG) ratings and firm performance, taking into account the role of firms' strategic investments in research and development (R&D) and advertising. Drawing on resource‐based view and signalling theory perspectives and employing the generalised method of moments ...
Syed Zulfiqar Ali Shah +2 more
wiley +1 more source
Вестник Дагестанского государственного технического университета: Технические наукиObjective. Bank card fraud is an increasingly serious problem for individuals, businesses and financial institutions. There is a need for effective fraud detection measures to protect consumers and businesses from financial losses. Method.
Abdourahman Djamal Djama
doaj +1 more source
Climate Change Risks and Customer Concentration: Evidence From US‐Listed Firms
Business Strategy and the Environment, EarlyView.ABSTRACT While prior studies have investigated climate risks in supply chains, customer ESG pressures, and shared climate exposure, this paper is, to the best of our knowledge, the first to provide direct empirical evidence on the relationship between climate change risks and firms' customer concentration.
Thi Thuy Trang Nguyen +2 more
wiley +1 more source
Finding Misstatement Accounts in Financial Statements Through Ontology Reasoning
IEEE AccessFinding misstatement accounts in financial statements, is a key problem of fraud detection. Potential applications include external audit, internal controls, investment decision and securities market regulation. However, most existing intelligent methods
Liming Chen, Baoxin Xiu, Zhaoyun Ding
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