The duality of artificial intelligence in supply chain sustainability: a narrative review

Authors

DOI:

https://doi.org/10.31637/epsir-2024-552

Keywords:

Artificial intelligence, supply chain, sustainability, carbon footprint, logistics optimization, demand forecasting, inventory management, operational efficiency

Abstract

Introduction: In the current digital age, artificial intelligence (AI) is crucial for advancing sustainable supply chains by addressing inefficiencies and reducing carbon emissions from growing energy demand. Methodology: A narrative literature review evaluated articles in Scopus and Science Direct databases from 2022 to 2024 to capture recent advancements in AI's impact on supply chain sustainability. Results: Findings highlight AI's ability to optimize logistics processes, improve demand forecasting, and efficiently manage inventories, reducing carbon footprint and enhancing resource use. Discussions: Despite significant benefits, AI implementation faces challenges such as high energy consumption and data integration complexity. Ethical and social implications must be considered to maximize benefits and minimize negative impacts. Conclusions: Integrating AI into supply chain management represents a significant advancement in sustainability and operational efficiency. More efficient technologies and policies supporting sustainable AI adoption are needed to overcome challenges and maximize benefits.

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Author Biography

Marelby Amado Mateus

D. in Management Sciences from the Universidad del Rosario, with an outstanding career in higher education as a teacher, researcher and consultant in marketing and management. Currently, she is a doctoral thesis tutor at Universidad de la Salle and a research professor at Corporación Universitaria de Asturias. She has coordinated the Neuromarketing Laboratory and has led processes of self-evaluation and high quality accreditation. She has extensive experience in curriculum development and pedagogical innovation. She has published several articles in scientific journals and participated in numerous international academic events. His work focuses on university reputation, perceived value and customer experience.

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Published

2024-08-20

How to Cite

Amado Mateus, M. (2024). The duality of artificial intelligence in supply chain sustainability: a narrative review . European Public & Social Innovation Review, 9, 1–21. https://doi.org/10.31637/epsir-2024-552

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Section

INNOVATING IN THE REDEFINITION OF THE RELATIONSHIP BETWEEN HUMAN BEINGS AND THEIR ENVIRONMENT