1142 papers
This study integrates signal verification into an evolutionary game model of collaborative cybersecurity governance to reveal that without sufficient verification precision, the system falls into a "Silence Trap" where monetary incentives fail and penalties risk suppressing valid reports, thereby arguing that governance sustainability depends on capacity-building rather than reward tuning alone.
This study of 94 technology firms in Indonesia, Malaysia, and Singapore reveals that while Relational Capital Efficiency and Innovation Capability drive Corporate Sustainable Growth through Competitive Advantage, Human Capital Efficiency unexpectedly exerts a negative influence on both competitive standing and sustainable growth in the region.
This study of Saudi Arabian firms reveals that ESG pillars exert divergent effects on earnings management—where governance constrains, environmental disclosure acts as camouflage for unprofitable firms but constrains profitable ones, and social disclosure remains neutral—highlighting how firm profitability and mandatory regulation critically reshape these relationships beyond aggregate ESG measures.
This paper develops a continuous-space New Economic Geography model on a unit circle to demonstrate how endogenous infrastructure-induced metric deformation creates "agglomeration shadows" and establishes a critical trade-cost threshold beyond which concentrated, low-frequency investment strictly outperforms uniform investment in maximizing welfare.
This behavioural experiment reveals that while increasing explanation depth in AI financial advice initially boosts overtrust, it does not guarantee calibrated trust and may unexpectedly increase overreliance among finance-educated users due to fluency-induced credulity.
This study demonstrates that incorporating parameter uncertainty and the strong correlation between probability of default and loss given default into Internal Rating-Based regulatory capital calculations is essential for creating a more accurate, robust, and stable financial system.
This paper proposes the AI Technology Transfer Framework (AITTF), a seven-stage governance model that reframes AI adoption as a technology-transfer challenge—drawing on principles from regulated industries to ensure reproducibility, traceability, and knowledge preservation—thereby addressing the critical gap in capturing organizational expertise and maintaining accountability during the transition to AI-enabled systems.
This study utilizes time-series data from 1992 to 2023 to analyze the economic and spatial impacts of date production losses in Saudi Arabia, revealing a unidirectional causal link from harvested area to losses and projecting a future decline in losses that underscores the need for improved post-harvest management to support sustainable agricultural goals.
This study demonstrates that in five major carbon-intensive African economies, climate finance and AI-driven technological innovation act as complementary catalysts for inclusive green growth, with climate finance showing immediate robust effects and AI innovation contributing cumulatively over time to support the transition away from fossil fuel dependence.
This paper finds that while U.S. states generally showed no immediate anticipatory response to upcoming EV mandates, later-adopting states experienced a significant increase in EV stock due to policy credibility, a shift that ultimately reduces global petroleum dependence and improves welfare for importing economies through terms-of-trade adjustments similar to those caused by oil supply disruptions.