Results 141 to 150 of about 5,738 (259)
Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach. [PDF]
Devi RR, Raja JE, Chin YB.
europepmc +1 more source
ABSTRACT This study reviews 54 empirical‐quantitative (archival) articles on the relationship between corporate social responsibility (CSR) outcomes and corporate misconduct. Based on the moral licensing and moral track hypotheses, we distinguish between CSR performance, reporting, and assurance on the one hand and between financial and CSR‐related ...
Patrick Velte
wiley +1 more source
Fair Markets and Resilient Supply Chains: Designing Sustainable Intermediation for Rural Communities
ABSTRACT Agriculture in Ecuador's communes faces significant economic, social, and environmental challenges, intensified by supply chains dominated by traditional intermediaries. The lack of context‐specific sustainability studies further increases the vulnerability of smallholders.
Jacqueline del Rocío Bacilio Bejeguen +3 more
wiley +1 more source
ABSTRACT The rapid integration of artificial intelligence (AI) into financial security markets presents both significant opportunities and emerging governance challenges for sustainable development. This study employs a comparative mixed‐methods approach to examine how AI‐driven innovation in trading, risk management, regulatory compliance, and ...
Suleman Bawa +3 more
wiley +1 more source
Research on a financial fraud identification model by fusing a convolutional neural network. [PDF]
Lu H, Zhu S, Zhang Y, Lv R.
europepmc +1 more source
Examining the Role of Economic Complexity and Climate Readiness in the Climate‐Fishing Nexus
ABSTRACT This paper investigates the climate‐fisheries association in Gulf Cooperation Council (GCC) nations from 1999 to 2022. A key objective is to explore the role of both the economic complexity index (ECI) and the climate readiness factor (READ) in the climate‐fishing nexus.
Mohamed Sami Ben Ali +2 more
wiley +1 more source
Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]
Awad SS +3 more
europepmc +1 more source
ABSTRACT Achieving sustainable development requires balancing economic growth with environmental conservation, but the relationship between informal economic activities and emerging financial technologies in boosting green growth (GG) is not well understood.
Muhammad Salah Uddin +4 more
wiley +1 more source
Applying supervised machine learning algorithms and ensemble models to enhance credit card fraud detection. [PDF]
Al-Bulushi A, Shaikh AK, Adhikari N.
europepmc +1 more source
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley +1 more source

