Exploring AI Adoption in Reverse Logistics for Circular Economy Performance: Evidence from Tunisia

Faiza Elloumi ()
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Faiza Elloumi: FSEG Sfax - Faculté des Sciences Economiques et de Gestion de Sfax - جامعة صفاقس - Université de Sfax - University of Sfax, جامعة صفاقس - Université de Sfax - University of Sfax

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Abstract: This study investigates how artificial intelligence (AI) can accelerate the transition toward a circular economy by optimizing resource use, enhancing supply chain transparency, and promoting innovative, sustainable business models. Through concrete applications such as intelligent waste sorting and reverse logistics, AI contributes to reducing losses, improving traceability, and supporting innovative circular practices. A survey conducted with 65 Tunisian SMEs confirms that, when adoption is supported by organizational and institutional factors, AI improves environmental performance and helps achieve sustainable development goals.

Keywords: Artificial intelligence; Circular economy; Reverse logistics; Resource optimization; Traceability (search for similar items in EconPapers)
Date: 2025-12-17
New Economics Papers: this item is included in nep-ara and nep-cse
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Published in 2025

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