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

Domain:

environment and energy

Record type:

paper
Creator:
Ell
Editor:
Facجام
Publisher:
CCSD
Host:avatar
aimil.org 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.

Visit

hal.science

Tags

Artificial intelligenceCircular economyReverse logisticsResource optimizationTraceability[QFIN]Quantitative Finance [q-fin][SHS]Humanities and Social Sciences[QFIN]Quantitative Finance [q-fin]

Licenses

https://hal.science/licences/copyright/info:eu-repo/semantics/OpenAccess

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