Blockchain as information processing: experiences in recycling chains

Purpose Blockchain is often claimed to have significant potential for tackling recycling chains’ challenges, particularly in facilitating information processing. However, such claims are often based on hypothetical, conceptual arguments. This study aims to explore how focal companies use blockchain to address information processing needs in the recycling chain. Design/methodology/approach This paper contains in-depth case studies exploring three pioneer blockchain applications in multi-tier recycling chains. Findings The authors found that blockchain offers four distinct information processing capabilities: transparency, immutability, integration and trust. These capabilities are instrumental in addressing the specific information processing needs at the levels of firm, supply chain and industry. However, the findings also suggest that blockchain-enabled mechanisms do not, by themselves, resolve all information processing needs in recycling chains. Instead, the application should account for functional, contextual and systemic fit. Originality/value By critically exploring pioneer blockchain applications, the authors move beyond prevailing views of blockchain as an information processing tool by situating its role within the multi-level information processing needs of recycling chains. Rather than conceiving blockchain applications as mechanically matched to these needs, the authors propose a more nuanced conceptualization of fitting mechanisms, showing that information processing fit unfolds through functional, contextual and systemic pathways operating across multiple levels.

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Publication Details

Journal
Supply Chain Management An International Journal
Published
2026-03-11
DOI
https://doi.org/10.1108/scm-09-2025-0958
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Blockchain as information processing: experiences in recycling chains

Martin Kunc, Shenghao Xie, Steve New, Yu Gong
Supply Chain Management An International Journal
Sustainable Supply Chain Management
article

Blockchain as information processing: experiences in recycling chains

Martin Kunc, Shenghao Xie, Steve New, Yu Gong
article en

Abstract

Purpose Blockchain is often claimed to have significant potential for tackling recycling chains’ challenges, particularly in facilitating information processing. However, such claims are often based on hypothetical, conceptual arguments. This study aims to explore how focal companies use blockchain to address information processing needs in the recycling chain. Design/methodology/approach This paper contains in-depth case studies exploring three pioneer blockchain applications in multi-tier recycling chains. Findings The authors found that blockchain offers four distinct information processing capabilities: transparency, immutability, integration and trust. These capabilities are instrumental in addressing the specific information processing needs at the levels of firm, supply chain and industry. However, the findings also suggest that blockchain-enabled mechanisms do not, by themselves, resolve all information processing needs in recycling chains. Instead, the application should account for functional, contextual and systemic fit. Originality/value By critically exploring pioneer blockchain applications, the authors move beyond prevailing views of blockchain as an information processing tool by situating its role within the multi-level information processing needs of recycling chains. Rather than conceiving blockchain applications as mechanically matched to these needs, the authors propose a more nuanced conceptualization of fitting mechanisms, showing that information processing fit unfolds through functional, contextual and systemic pathways operating across multiple levels.

Supply Chain Management An International Journal
University of Liverpool (GB), University of Oxford (GB), Science Oxford (GB), University of Southampton (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Sustainable Supply Chain Management
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