1128 papers
This study empirically validates an integrated TAM-TPB framework using data from 512 Indian online shoppers to demonstrate that AI perceptions, particularly intelligence and personalization, drive customer loyalty through the sequential mediation of perceived usefulness, attitude toward AI shopping, and purchase intention.
This paper employs an agent-based model to demonstrate that while income remains the primary driver of battery electric vehicle adoption in Portugal, strategic investment in charging infrastructure is more effective than fiscal incentives for boosting adoption rates and reducing spatial inequality.
This study analyzes the 1991–2024 bilateral trade dynamics between India and Singapore using intensity ratios and structural break modelling to demonstrate a progressive deepening of economic interdependence driven by policy reforms and global events, despite occasional fluctuations.
This paper argues that Nigeria's 2026 shift to an ad valorem sugar-sweetened beverage tax is structurally flawed for public health goals because it fails to incentivize recipe reformulation, is obscured by high inflation, and bypasses the informal market, necessitating a transition to a tiered, gram-specific volumetric tax model.
This paper demonstrates that first-difference models outperform traditional level-based specifications in forecasting cross-market volatility when data exhibit strong persistence, highlighting the critical need to align modeling strategies with forecasting objectives.
While Kenya's Structural Adjustment Program achieved some macroeconomic stabilization and fostered political pluralism, it ultimately failed to drive sustained industrial growth and instead exacerbated unemployment, poverty, and public debt through harsh austerity measures.
This study investigates how AI adoption enhances recruitment efficiency in Malaysian SMEs by examining the mediating role of decision-making quality, utilizing a quantitative approach grounded in the Technology Acceptance Model and Resource-Based View to provide empirical evidence and practical guidance for stakeholders in a developing economy.
This study employs a systematic review and the proposed Digital Payment Governance Framework (DPGF) to compare the security, privacy, and regulatory compliance trade-offs among PIX, public blockchains, and CBDCs, ultimately identifying hybrid architectures with selective disclosure as the optimal direction for next-generation payment governance.
This study employs a systematic mapping review of 96 interdisciplinary sources to identify critical governance gaps and propose a comprehensive research agenda for regulating the convergence of AI and quantum technologies in autonomous financial trading, addressing the current lack of integrated frameworks for cybersecurity, accountability, and systemic risk management.
This study empirically demonstrates that the relationship between the US Dollar Index (DXY) and USDT Dominance is a significant, regime-dependent correlation driven by macroeconomic liquidity conditions rather than lagged causality, with its strength and direction varying substantially across different market cycles in support of the Adaptive Market Hypothesis.