The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis

Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107479 - 107479

Published: March 18, 2024

Language: Английский

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Enhancing resilience in supply chains through resource orchestration and AI assimilation: An empirical exploration

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 195, P. 103980 - 103980

Published: Jan. 24, 2025

Language: Английский

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The Impact of Digital Technology, Automation, and Data Integration on Supply Chain Performance: Exploring the Moderating Role of Digital Transformation

Logistics, Journal Year: 2025, Volume and Issue: 9(1), P. 11 - 11

Published: Jan. 15, 2025

Background: This study investigates digital transformation as a moderating variable in determining the effect of technologies, automation, and data integration upstream downstream providers on supply chain performance. By filling existing research gap, reveals that more regarding how interventions impact effectiveness these technologies for industrial chains must be understood. Methods: A structured survey was applied to 181 managers manufacturing firms scattered across Jordan. Results: The findings using SmartPLS statistical analysis indicated automation has strongest positive performance, followed by integration. But technology did not have significant direct effect, unless it accompanied broader initiatives. Conclusions: Theoretically, this reinforces theory vital framework, whereas practice, invokes strategic deployment integrated application designs underpin efficiency competitiveness. Finally, offers practical guidance practitioners who seek employ use current dynamic business environment.

Language: Английский

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Supply chain challenges and energy insecurity: The role of AI in facilitating renewable energy transition

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108378 - 108378

Published: March 1, 2025

Language: Английский

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The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 3082 - 3082

Published: April 8, 2024

This research aims to explore the complex interplay between supply chain resilience (SCR), digital (DSC), and sustainability, focusing on moderating influence of dynamism. The goal is understand how these elements interact within framework contemporary management they collectively contribute enhancing sustainability outcomes. sample size 300 CEOs managers. study approach integrates quantitative methods. Structural equation modeling (SEM) utilized quantitatively analyze direct indirect effects SCR DSC sustainability. numerous surveys we conduct among ecosystem stakeholders provide a rich picture practical implications contextual nuances. In sum, our early findings generally support positive relationship in itself, declaring need for more resilient networks We further find beneficial impact technologies promoting via environmental control controlling efficiency chains. also offer evidence show that dynamism compounds logic As final word, it must be noted work speaks burgeoning literature as moderator by examining contingent not only performance but By shedding light role dynamism, provides fresh insights into multifaceted nature practices. study’s enhance theoretical understanding elucidating synergistic SCR, DSC, dynamic settings. augments existing frameworks integrating concepts resilience, digitalization, comprehensive model. Practical economical, offers actionable guidance organizations aiming improve through digitally advanced acknowledging managers can tailor strategies manage disruptions effectively leverage innovations. Economically, adopting sustainable practices result cost savings competitive advantages. emphasizes importance aligning with goals drive long-term value societal impact.

Language: Английский

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Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6186 - 6186

Published: July 19, 2024

In the post-pandemic era, uncertain global market and rising social-environmental issues drive organizations to adapt their supply chain strategies more dynamic, flexible models, leveraging advanced technologies like AI, big data analytics, decision support systems. This review paper aims examine current research on AI-integrated in sustainable management (SSCM) inform future directions. We adopted bibliometric text analysis, targeting 170 articles published between 2004 2023 from Scopus database following PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses) protocol. confirm that have demonstrated capability enable SSCM across various sectors. generated ten topics using Latent Dirichlet Allocation (LDA) method proposed 20 propositions. The results show processes primarily address sustainability, focusing environmental economic issues. However, there is still a technological gap tackling social working conditions fair dealing. Thus, we dynamic framework of AI help researchers practitioners synthesize optimize models

Language: Английский

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Quantitative analysis of Sino–U.S. Chip embargo and China’s export controls on GaGe and graphite

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110860 - 110860

Published: Jan. 1, 2025

Language: Английский

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Machine learning in supply chain management: systematic literature review and future research agenda

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 30

Published: Feb. 15, 2025

This study conducts a comprehensive systematic literature review of 107 Machine Learning (ML) studies in Supply Chain (SC) Management published from 2019 until 2023. Descriptive analysis (chronological, geographical, publication, ML algorithms) and thematic via iterative theme identification reviewed key themes barriers the SC context. has emerged as disruptive technology, significantly benefiting supply chain planning, execution, control. Yet, no examined its applicability context, especially with advent Generalised Artificial Intelligence (AI) Large Language Models (LLMs). revealed specific gaps discusses 4 major 14 sub-themes SC: (i) Demand forecasting, (ii) procurement, (iii) risk resilience, (iv) network optimisation. Further, uncovered technical (retraining, scalability security), social (resistance to change, ethical), contextual (dependency, regulations) barriers. provides five research propositions. It sets agenda based on 4Vs (Volume, Variety, Variation, Visibility) provide insights for future research, which can be relevant emergence AI LLMs. also technical, social, business implications practitioners.

Language: Английский

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The Relationship between Supply chain Resilience and Digital Supply Chain on Sustainability, Supply Chain Dynamism as a Moderator

Published: Feb. 28, 2024

This research aims to explore the complex interplay between supply chain resilience (SCR), digital (DSC), and sustainability, focusing on moderating influence of dynamism. The goal is understand how these elements interact within framework contemporary management they collectively contribute enhancing sustainability outcomes. sample size 300 CEOs managers. study approach integrates quantitative methods. Structural equation modeling (SEM) utilized quantitatively analyze direct indirect effects SCR DSC sustainability. numerous surveys we conduct among ecosystem stakeholders provide a rich picture practical implications contextual nuances. In sum, our early findings generally support positive relationship in itself decrying need for more resilient networks We further find beneficial impact technologies promoting via environmental control controlling efficiency chains. also offer evidence show that dynamism compounds logic As final word, it must be noted work speaks burgeoning Supply Chain Dynamism as moderator literature by examining contingent not only performance but By shedding light role dynamism, provides fresh insights into multifaceted nature practices. study's enhance theoretical understanding elucidating synergistic SCR, DSC, dynamic settings. It augments existing frameworks integrating concepts resilience, digitalization, comprehensive model. Practical economical, offers actionable guidance organizations aiming improve through digitally advanced acknowledging managers can tailor strategies manage disruptions effectively leverage innovations. Economically, adopting sustainable practices result cost savings competitive advantages. emphasizes importance aligning with goals drive long-term value societal impact.

Language: Английский

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The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain

Structural Change and Economic Dynamics, Journal Year: 2024, Volume and Issue: 70, P. 544 - 566

Published: May 16, 2024

Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing resilience supply chains, have not been thoroughly explored academic research. Thus, we first identify thirteen variables influential shaping transformation food chains. These chosen based on financial, technological, social, organizational challenges to building within chain. Then, generate an interval-valued T-spherical fuzzy CoCoSo'B model uncover AI chain dynamics change sector. After that, explore alleviating factors through generated decision expert interview. The result also reveals advantageAd2"Enhancing information sharing among nodes" (1.983) has most potential influence adoption behavior. outcomes present study can provide a new decision-support technique for uncovering effects

Language: Английский

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