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The Adoption of Digital Technologies in Circular Supply Chains: From Theoretical Developments to Practical Applications
Date Issued
2026-01-11
Date Available
2026-02-24T11:15:20Z
Abstract
Background: Digital technologies are increasingly integrated into circular supply chains (CSCs) to enhance resource efficiency and extend product lifecycles. However, the practical adoption of intelligent circular supply chains (iCSCs) remains underexplored. Methods: This study provides a comprehensive review of how digital technologies enable circular practices across industries. It systematically reviews 95 peer-reviewed articles from WoS and Scopus, identifying 107 real-world iCSC cases. The cases are categorized by (1) digital enablers including AI, Big Data, Blockchain, IoT, Digital Twin, Additive Manufacturing, Cloud Platforms, and Cyber-Physical Systems; (2) alignment with Circular Economy (CE); (3) sector-specific circular practices; and (4) mapping implementations to the EU Circular Economy Action Plan (CEAP). This study develops a conceptual model illustrating how digital technologies support data-driven decision-making, automation, and circular transitions. Results: The analysis shows IoT, Blockchain, and AI as the most frequently applied technologies, facilitating collaboration, traceability, sustainability, and cost efficiency. “Reduce” and “Recycle” dominate among CE strategies, while circular transition pathways such as sustainable design, waste prevention, and digital platforms link policy to practice. Conclusions: By integrating systematic evidence with a holistic framework, this work provides actionable insights, identifies key implementation gaps, and lays a foundation for advancing iCSCs in research and practice.
Type of Material
Journal Article
Publisher
MDPI
Journal
Logistics
Volume
10
Issue
1
Copyright (Published Version)
2026 the Authors
Language
English
Status of Item
Peer reviewed
ISSN
2305-6290
This item is made available under a Creative Commons License
File(s)
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Name
CleanVersion_manuscript.v11_final version.docx
Size
1.72 MB
Format
Microsoft Word XML
Checksum (MD5)
16041e04238c35641e277fc2b28eb28c
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Name
CleanVersion_manuscript.v11_final version.pdf
Size
1.88 MB
Format
Adobe PDF
Checksum (MD5)
44d5d61f6b080350f8758fad5e7640a4
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