Navigating the Future
AI, Global Supply Chains, and ESG for Sustainable Development
Datos Bibliográficos
| ID | 12308331 |
|---|---|
| Autores | Sunil Tiwari (0000-0002-0180-9237, Department of Tourism Studies, School of Business Studies Central University of Kerala Kasaragod India, autor de correspondencia), Panayiotis Tzeremes (0000-0002-0746-3839, Department of Accounting and Finance University of Thessaly Volos Greece), Emad Kazemzadeh (0000-0002-5791-671X, Independent Researcher Ílám Iran), Hayet Soltani (0000-0001-7141-0398, Department of Accounting and Finance Faculty of Economics and Management of Sfax, University of Sfax Sfax Tunisia), Buhari Doğan (0000-0003-0655-4699, Department of Economics Suleyman Demirel University Isparta Turkey) |
| Año | 2025 |
| Volumen | 34 |
| Número | S2 |
| Páginas | 403-421 |
| Fecha de publicación | 2025-10-24 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sustainable Development (JOURNAL) |
| Identificadores de la revista | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.70359 |
| OpenAlex | W4415508405 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 71 |
This study examines the impact of global supply chain pressures (GSCP), artificial intelligence (AI), economic complexity (EC), and sustainability uncertainty (SUI) on the productive capacities index (PCI) in the United States from 2018 to 2024. Employing advanced econometric techniques—including quantile‐on‐quantile regression (QQR), cross‐quantilogram (CQ), and wavelet‐quantile correlation (WQC)—the analysis assesses variable effects, directional predictability, causal relationships, and multiscale correlations. The findings indicate that AI significantly enhances productive capacity through technological innovation, automation, and efficiency gains. In contrast, GSCP and ESG‐related uncertainties (captured by EC and SUI) hinder productive capacities by exacerbating operational disruptions and investment risks across US industries. These results underscore the necessity for strategic policy interventions that leverage AI's potential to mitigate supply chain vulnerabilities and sustainability challenges. To bolster productive capacities, we recommend that US policymakers prioritize fostering a dynamic entrepreneurial ecosystem, promoting technological innovation, strengthening infrastructure resilience, and investing in human capital development. This study provides critical insights for policymakers, industry leaders, and researchers navigating the interplay of technological advancement, global supply chain volatility, and sustainability in shaping economic productivity
Econometric model · Human capital · Investment (military · Leverage (statistics · Supply chain · Supply chain management · Supply chain risk management · Sustainability · Sustainable development · Economic and Technological Innovation · Supply Chain Resilience and Risk Management · Sustainable Supply Chain Management
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Governing artificial intelligence
Measuring Economic Policy Uncertainty
Geopolitical risk, supply chains, and global inflation
Deciphering global marine product trade dynamics
Artificial intelligence in developing countries
The impact of artificial intelligence on carbon market in China
Artificial intelligence
Digital Technology and AI for Smart Sustainable Cities in the Global South
Fusion of Fintech and Green Finance Amidst Russo‐Ukrainian Conflict
ESG and economic growth
Artificial Intelligence and Corporate Sustainability
Rethinking Sustainability
Introducing the New ESG ‐Based Sustainability Uncertainty Index ( Esgui )
| Obras citantes distintas | 4 |
|---|---|
| Citas por año | 4 |
| Intervalo de citas | 2026 - 2026 (1) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |