1780 papers
This quantitative study of 387 employees in the Saudi civil aviation sector demonstrates that transformational leadership significantly promotes sustainability practices, with digital transformation serving as a strong partial mediator in this relationship.
This study demonstrates that integrating capital market information, particularly conditional volatility and information disclosure behavior, into a multi-source LightGBM model significantly enhances the early prediction of credit risk in sci-tech firms beyond traditional financial indicators.
This study demonstrates that while digital economy development significantly enhances marine fishery carbon emission efficiency in China through local improvements and positive spatial spillovers, its effectiveness is contingent upon regional production structures, being most beneficial in low capture-dependence areas and necessitating differentiated policy strategies across coastal provinces.
This paper presents a novel multi-input deep learning model that integrates financial time series, governance features, and regional data to outperform traditional methods in predicting SME default risk while maintaining interpretability through Shapley values.
This paper introduces the Gas Station Index (GSI), a novel bottom-up indicator derived from open-source geospatial data on gas stations and their surrounding amenities, which effectively measures regional economic development with accuracy comparable to nighttime lights while providing complementary ground-level insights into infrastructure and consumption environments.
Using data from Pakistan's 2012–13 and 2017–18 Demographic and Health Surveys, this study finds that exposure to food inflation during pregnancy significantly increases childhood stunting, highlighting the critical need for maternal nutrition security and targeted food policies to mitigate child health risks in Pakistan.
This qualitative study of KwaZulu-Natal's municipal owned entities identifies that despite existing legislative frameworks, governance failures persist due to weak oversight and leadership instability, concluding that strengthening strategic leadership and internal controls is essential for ensuring accountability and sustainable performance.
This study proposes and validates a hybrid decision intelligence framework that integrates Large Language Model agents, Digital Twin synchronization, and Big Data analytics to significantly enhance strategic forecasting and resource allocation in enterprise management, achieving a 94.5% win rate and 133% performance improvement over standalone LLM baselines in a multi-agent economic simulation.
This paper presents a bibliometric analysis of 600 Scopus-indexed publications from 2018 to 2023 to map the evolving relationship between corporate social responsibility and auditing, identifying key contributors, emerging themes like carbon emissions and SDG reporting, and future research directions for policymakers and scholars.
This paper applies the capability approach to test whether specific components of product market regulation differentially impact gender inequality and life evaluations across 54 economies, finding that while reduced entry barriers correlate with higher life satisfaction, they show no significant association with gender inequality and fail to support the hypothesis that regulatory composition matters more than overall regulatory levels.