Results 141 to 150 of about 452 (212)
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
Hexagon Fraud Theory Analysis on Financial Statement Fraud
The purpose of this study is to investigate the effect of Hexagon Fraud Theory (financial stability, external pressure, financial targets, nature of the industry, ineffective supervision, external auditor quality, auditor turnover, director turnover, arrogance, and state-owned enterprises) on financial statement fraud.
Ratu Persada Pahlevi Pasca Mahardika +1 more
openaire +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
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
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
Shifting standards due to social class? The role of social class background in CEO career outcomes
Abstract Research Summary This study investigates how social class background shapes CEO career outcomes. Extending the shifting standards model to post‐appointment evaluation, we theorize that CEOs from lower‐class backgrounds face persistently high confirmatory standards, producing asymmetric consequences.
Michelle Lee, Shelby L. Gai
wiley +1 more source
Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models
ABSTRACT Objectives Apache Spark is widely used for distributed data processing, but accurately predicting application execution time remains challenging because performance depends on application structure, resource configuration, and executor‐allocation behavior.
Hina Tariq, Olivia Das
wiley +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source

