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Cited by 820

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Blockchain technology for bridging trust, traceability and transparency in circular supply chain

Centobelli, Piera, Cerchione, Roberto, Vecchio, Pasquale Del, Oropallo, Eugenio, Secundo, Giustina·2022·Information & Management

Abstract

Abstract Trust, traceability, and transparency emerge as critical factors in designing circular blockchain platforms in supply chains. To bridge the three circular supply chain reverse processes (i.e., recycle, redistribute, remanufacture) and the three factors affecting blockchain technologies (i.e., trust, traceability, transparency), this paper proposes the integrated Triple Retry framework for designing circular blockchain platforms. A circular blockchain platform was designed in a supply chain, including manufacturer, reverse logistics service provider, selection center, recycling center, and landfill. The results highlight blockchain's role as a technological capability for improving control in the movement of wastes and product return management activities.

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Crossref · 10.1016/j.im.2021.103508

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Metadata

Authors
Centobelli, P., Cerchione, R., Vecchio, P. D., Oropallo, E., & Secundo, G.
Venue
Information & Management
Publisher
Elsevier BV
Published
2022-11
Volume
59
Issue
7
Pages
103508
ISSN
0378-7206 (ISSN-L)
OpenAlex
W3185716662
Cited by
820
References
81
FWCI
95.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Blockchain technology for bridging trust, traceability and transparency in circular supply chain. https://app.cochat.ai/papers/10.1016/j.im.2021.103508
The paper
Centobelli, P., Cerchione, R., Vecchio, P. D., Oropallo, E., & Secundo, G. (2022). Blockchain technology for bridging trust, traceability and transparency in circular supply chain. Information & Management. https://doi.org/10.1016/j.im.2021.103508

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.