1802 papers
This paper demonstrates that while adding an independent AI forecast to human analyst predictions improves probabilistic accuracy by refining uncertainty estimates through disagreement, it fails to correct shared systematic biases or enhance target-based portfolio decisions without calibration against realized outcomes.
Utilizing the Alkire and Foster methodology on recent HIES data, this study reveals that while Pakistan has made significant progress in reducing the incidence of multidimensional energy poverty, the issue remains structurally entrenched with high deprivation intensity, particularly in rural areas and the provinces of Sindh and Balochistan, driven primarily by deficits in clean cooking and indoor pollution rather than electricity access.
This paper argues that while the creative economy offers significant potential for sustainable development and employment in developing nations like Nigeria, realizing this potential requires overcoming structural barriers through integrated policies, ESG frameworks, green financing, and improved governance to balance digital innovation with environmental sustainability.
Using longitudinal data from China (2014–2020), this study demonstrates that multidimensional poverty significantly reduces subjective well-being among rural laborers, primarily through health and living standard deprivations, by eroding internal hope and external social support, with men and married individuals being the most vulnerable groups.
This paper introduces and validates the Agentic AI Intensity Index (AAII), a novel disclosure-based measurement instrument designed to distinguish autonomous AI execution from advisory systems in banking, while outlining a comprehensive identification strategy to estimate its effects on bank performance and systemic risk.
This paper argues that corporate well-being investment is primarily hindered by the misalignment between local knowledge and central decision rights, a distortion exacerbated by external ratings that incentivize standardized, centrally approved spending over locally tailored interventions, ultimately improving ratings while deteriorating actual well-being outcomes.
This study challenges the democratic theory that political participation directly improves governance by demonstrating that while cross-sectional data shows a positive association, this relationship disappears in within-country panel analyses, suggesting the link is driven by stable national characteristics rather than a causal effect.
Using an unbalanced panel of 105 countries from 2004 to 2019 and Entropy Balancing for Continuous Treatments, this study finds that higher levels of institutional trust are robustly and positively associated with increased economic complexity, particularly in nations with strong infrastructure, democratic institutions, and effective governance.
This paper presents a cost-sensitive decision framework that transforms churn prediction into an actionable retention-pricing strategy by quantifying revenue at risk and demonstrating that broad, low-cost outreach is economically superior to narrow, high-precision targeting for maximizing net benefit in subscription services.
This study proposes a phase-contingent theory and dynamic hypergraph model demonstrating that business development creates resilient opportunities through opportunity-specific network formation, where recruitment strategies and adaptive redundancy mechanisms effectively balance functional completion with vulnerability protection against external changes.