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AI as a Catalyst for Sustainable Supply Chains: From Carbon Reduction to Territorial Competitiveness
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Author(s): Badre Meziane (National School of Business and Management, Sidi Mohamed Ben Abdellah University, Morocco), Lhoussaine Alla (National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Morocco)and Badr Bentalha (National School of Business and Management, Sidi Mohamed Ben Abdellah University, Morocco)
Copyright: 2026
Pages: 36
Source title:
Enhancing Sustainable Performance With Low-Carbon Supply Chains
Source Author(s)/Editor(s): Chafik Bensfia (Mohammed First University, Morocco), Badr Bentalha (Sidi Mohammed Ben Abdellah University, Morocco)and Lhoussaine Alla (Sidi Mohamed Ben Abdellah University, Morocco)
DOI: 10.4018/979-8-3373-3012-9.ch001
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Abstract
The sustainability of supply chains has become crucial in the face of environmental challenges and heightened global competition. In this context, artificial intelligence is emerging as a potential catalyst for converging economic performance requirements and current environmental concerns. Transformation towards sustainable supply chains with reduced carbon footprints and territorial competitiveness calls for a thorough re-reading of theories on the role of AI. This chapter proposes an integrative framework to analyze the role of AI as a catalyst for this sustainable and resilient transition with a view to enhanced territorial competitiveness. This model is based on a critical review of the literature. AI, via its vast forecasting, optimization and automation capabilities, facilitates carbon reduction and enhances competitiveness. The proposed framework identifies causal mechanisms and moderating factors. AI is a powerful but conditional catalyst, requiring strategic alignment, organizational capabilities and ethical governance. Managerial and political implications are discussed.
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