1877 papers
This study employs a novel Multi-LLM Consensus Weighting method to evaluate and rank the social capital conditions for blockchain-enabled microfinance in Malaysia and the Maldives against 53 OIC economies, demonstrating robust comparative insights that inform policy on financial inclusion, transparency, and digital readiness.
Using multilevel data from 65 countries, this study applies the attention-based view to demonstrate that opportunity-driven entrepreneurs are more likely to create born global ventures than necessity-driven ones, a relationship that is strengthened by digital access but weakened by business freedom.
This study presents a Fuzzy AHP-based decision-support framework that assesses mineral criticality across specific value-chain stages, demonstrating through an Australian vanadium case study that while resource availability is high, criticality escalates significantly from exploration to manufacturing due to downstream economic, technical, and infrastructural constraints.
Based on a survey of 334 respondents, this study utilizes a consumer behavior model to demonstrate that user experience in social e-commerce drives sharing and acceptance of e-CNY, while payment security critically influences payment decisions, thereby offering strategic insights for promoting the digital currency's widespread adoption.
This study evaluates various machine learning and econometric models for inflation forecasting across eight Sub-Saharan African economies and finds that, due to structural breaks and high volatility, no complex model statistically outperforms a simple naive persistence baseline, suggesting that regional policymakers should maintain simple models as active benchmarks.
This study conducts a systematic and bibliometric review of 89 peer-reviewed publications to map the intellectual evolution of climate finance literature, identifying six key thematic areas and highlighting critical gaps in long-run macroeconomic evidence, particularly for emerging economies, to inform future research and policy strategies for sustainable development.
This study introduces the Socio-Technical Outcome Asymmetry (STOA) framework to demonstrate that in Indonesian firms, algorithmic management yields significantly greater efficiency gains than surveillance harms, with firm age acting as a critical buffer that mitigates negative outcomes while the STOA model extends Socio-Technical Systems theory through new asymmetry and buffering mechanisms.
This systematic literature review of 29 studies on East Java identifies spatial inequality, human capital limitations, and institutional capacity as key drivers of multidimensional poverty, proposing a place-sensitive framework that integrates capability development, regional collaboration, and data-driven interventions to enhance the effectiveness of village-based policy measures.
This study utilizes structural equation modeling on survey data from 400 individual investors in Himachal Pradesh to reveal that while economic and non-economic factors significantly influence saving willingness, only non-economic factors significantly impact stock investment willingness, whereas happiness and economic factors show no significant effect on investment or institutional saving behaviors.
This study employs a "goal-mechanism-risk-governance" framework and empirical analysis of Chinese data to identify critical financial risks in the green certificate market, revealing significant price volatility, liquidity paradoxes, and high entity concentration that collectively elevate the comprehensive financial risk index despite rising certificate prices.