Beyond efficiency: unpacking AI’s dual role in driving sustainable and energy-conscious logistics in North Africa

Maha AlSheikh, Amer Morshed, Dina Alkhodary, Laith T. Khrais and Ramzi Altarawneh

Technological Sustainability, 2025, vol. 4, issue 3, 293-310

Abstract: PurposeThe current study examines the impact of artificial intelligence (AI) adoption on logistics sustainability and the energy efficiency of AI systems in North African nations. It also examines the role played by renewable energy infrastructure and the moderating effect exerted by the quality of institutions, government support and company size.Design/methodology/approachBased on partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (MGA), this study examines secondary data from 2022 to 2024 in Morocco, Algeria, Tunisia and Egypt. Data are drawn from the World Bank’s GovTech Index, IEA, IRENA, and logistics performance indicators.FindingsResults confirm that AI adoption has a strong impact on logistics sustainability (β = 0.48) and a modest impact on energy efficiency (β = 0.36). Renewable energy plays an important mediation role (indirect effect = 0.19), and these effects are moderated by institutional quality, governmental support and size of firm, and are significant. MGA reveals stronger AI–sustainability links in Morocco (Δβ = 0.27, p = 0.015) and greater benefits among large firms (Δβ = 0.22, p = 0.032).Practical implicationsThe study emphasizes the significance of matching AI implementation with digital governance and renewable energy infrastructure. Low-carbon computing, energy monitoring, and policies catered to infrastructural gaps and corporate capacity take the stage.Originality/valueThe study makes an input in the area of energy management by positioning AI both as an optimizer of logistics and an energy user. It presents an innovative computational sustainability approach suited to developing economies with energy-constrained systems.

Keywords: Artificial intelligence; Logistics sustainability; Energy efficiency; Renewable energy; Computational sustainability; Institutional quality; Developing countries; North Africa (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/techs/article/4/3/293/1271 ... ng-AI-s-dual-role-in (text/html)
https://www.emerald.com/techs/article-pdf/4/3/293/ ... s-05-2025-0101en.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:techsp:techs-05-2025-0101

DOI: 10.1108/TECHS-05-2025-0101

Access Statistics for this article

Technological Sustainability is currently edited by Dr Shahla Seifi

More articles in Technological Sustainability from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().