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Navigating the Future

AI, Global Supply Chains, and ESG for Sustainable Development

Dados Bibliográficos

ID12308331
AutoresSunil Tiwari (0000-0002-0180-9237, Department of Tourism Studies, School of Business Studies Central University of Kerala Kasaragod India, autor correspondente), 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)
Ano2025
Volume34
FascículoS2
Páginas403-421
Data de publicação2025-10-24
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSustainable Development (JOURNAL)
Identificadores do periódicoISSN: 0968-0802 • E-ISSN: 1099-1719
EditoraWiley (PUBLISHER • GB)
DOI10.1002/sd.70359
OpenAlexW4415508405
IdiomaEN
Citações recebidas4
Referências citadas71

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

  • ESG-driven supply chains

    Open Access•Yishuang Liu, Xiujie Tan•Sustainable Futures•2026

  • Navigating the Sustainable Development Goals Through Volatility Spillovers, Maritime Trade, and Commodity Markets

    Open Access•Buhari Doğan, Sunil Tiwari et al.•Sustainable Development•2026

  • Achieving SDG 14 Through Environmental, Social, and Governance Actions

    Open Access•I-An Wang, I‐An Wang et al.•Sustainable Development•2026

  • AI and GHG Emissions

    Open Access•Sunil Tiwari, Kamel Si Mohammed•International Journal of Tourism…•2026

  • European commitment to COP21 and the role of energy consumption, FDI, trade and economic complexity in sustaining economic growth

    Open Access•Buhari Doğan, Daniel Balsalobre-Lorente et al.•Journal of Environmental Management•2020

  • Oil prices, US stock return, and the dependence between their quantiles

    Open Access•Nicholas Sim, Hongtao Zhou•Journal of Banking & Finance•2015

  • Governing artificial intelligence

    Open Access•Corinne Cath•Philosophical Transactions of the…•2018

  • Measuring Economic Policy Uncertainty

    Scott Baker, Scott R Baker et al.•The Quarterly Journal of Economics•2016

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    Open Access•Omid Asadollah, Linda Schwartz Carmy et al.•World Economy•2024

  • Deciphering global marine product trade dynamics

    Open Access•Yu Sun, Feng Lian et al.•Marine Policy•2025

  • Artificial intelligence in developing countries

    Open Access•Nishith Reddy Mannuru, Sakib Shahriar et al.•Information Development•2025

  • The impact of artificial intelligence on carbon market in China

    Open Access•Wei Jiang, Yanhui Hu et al.•Technological Forecasting and…•2025

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    Open Access•Alexander Kopka, Nils Grashof•Technological Forecasting and…•2022

  • Digital Technology and AI for Smart Sustainable Cities in the Global South

    Open Access•Dillip Kumar Das•Urban Science•2025

  • Fusion of Fintech and Green Finance Amidst Russo‐Ukrainian Conflict

    Open Access•Sunil Tiwari, Kamel Si Mohammed•Sustainable Development•2025

  • ESG and economic growth

    Open Access•Mithilesh Gidage, Shilpa Bhide•Sustainable Development•2024

  • Artificial Intelligence and Corporate Sustainability

    Open Access•Qiang Wang, Yanpeng Qi et al.•Sustainable Development•2025

  • Rethinking Sustainability

    Open Access•Qiang Wang, Xinhua Wang et al.•Sustainable Development•2025

  • Introducing the New ESG ‐Based Sustainability Uncertainty Index ( Esgui )

    Open Access•Serdar Ongan, İsmet Göçer et al.•Sustainable Development•2025

Obras citantes distintas4
Citações por ano4
Intervalo de citações2026 - 2026 (1)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 4
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