Digital Enablers of the Circular Economy:A Systematic Review of Applications, Barriers, and Future Directions

This systematic review examines how digital technologies enable circular economy (CE) transitions across sectors and value chains. Analysing 266 peer-reviewed publications (2016–2025), we develop a comprehensive taxonomy of digital enablers—including IoT, AI, blockchain, cloud computing, additive manufacturing, and digital platforms—and map their applications to circular strategies such as reuse, remanufacturing, and recycling. Our findings reveal that data-driven technologies dominate CE implementation, with 89% of studies involving data collection, storage, analysis, or sharing functions. IoT emerges as the foundational technology for real-time tracking and monitoring, while AI and big data analytics optimise circular processes and predict maintenance needs. Blockchain ensures traceability and trust in circular supply chains, and cloud computing provides scalable infrastructure for collaboration. Manufacturing (41%) and construction (15.5%) are the most studied sectors, with strong European research leadership reflecting policy drivers such as Digital Product Passports. We identify three impact types: enabling (process optimisation), disruptive (business model innovation), and facilitating (ecosystem collaboration). Key barriers include technical complexity, organisational resistance, high implementation costs, and regulatory gaps. The review concludes with recommendations for integrated, multi-stakeholder approaches to realise a digitally enabled circular economy.

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Publication Details

Journal
University of Birmingham Research Portal (University of Birmingham)
Published
2026-04-01
DOI
https://doi.org/10.3390/jmmp10040112
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
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article

Digital Enablers of the Circular Economy:A Systematic Review of Applications, Barriers, and Future Directions

Parinaz Pourrahimian, Saeid Lotfian, Saleh Seyedzadeh, Behrouz; id_orcid 0000-0002-1041-4800 Arabi et al.
University of Birmingham Research Portal (University of Birmingham)
Sustainable Supply Chain Management
article

Digital Enablers of the Circular Economy:A Systematic Review of Applications, Barriers, and Future Directions

Parinaz Pourrahimian, Saeid Lotfian, Saleh Seyedzadeh, Behrouz; id_orcid 0000-0002-1041-4800 Arabi, Daniel Kahani
article en

Abstract

This systematic review examines how digital technologies enable circular economy (CE) transitions across sectors and value chains. Analysing 266 peer-reviewed publications (2016–2025), we develop a comprehensive taxonomy of digital enablers—including IoT, AI, blockchain, cloud computing, additive manufacturing, and digital platforms—and map their applications to circular strategies such as reuse, remanufacturing, and recycling. Our findings reveal that data-driven technologies dominate CE implementation, with 89% of studies involving data collection, storage, analysis, or sharing functions. IoT emerges as the foundational technology for real-time tracking and monitoring, while AI and big data analytics optimise circular processes and predict maintenance needs. Blockchain ensures traceability and trust in circular supply chains, and cloud computing provides scalable infrastructure for collaboration. Manufacturing (41%) and construction (15.5%) are the most studied sectors, with strong European research leadership reflecting policy drivers such as Digital Product Passports. We identify three impact types: enabling (process optimisation), disruptive (business model innovation), and facilitating (ecosystem collaboration). Key barriers include technical complexity, organisational resistance, high implementation costs, and regulatory gaps. The review concludes with recommendations for integrated, multi-stakeholder approaches to realise a digitally enabled circular economy.

University of Birmingham Research Portal (University of Birmingham)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Sustainable Supply Chain Management
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