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  5. Blockchain technology and its relationships to sustainable supply chain management

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Article
English
2018

Blockchain technology and its relationships to sustainable supply chain management

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English
2018
International Journal of Production Research
Vol 57 (7)
DOI: 10.1080/00207543.2018.1533261

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Joseph Sarkis
Joseph Sarkis

Worcester Polytechnic Institute

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Sara Saberi
Mahtab Kouhizadeh
Joseph Sarkis
+1 more

Abstract

Globalisation of supply chains makes their management and control more difficult. Blockchain technology, as a distributed digital ledger technology which ensures transparency, traceability, and security, is showing promise for easing some global supply chain management problems. In this paper, blockchain technology and smart contracts are critically examined with potential application to supply chain management. Local and global government, community, and consumer pressures to meet sustainability goals prompt us to further investigate how blockchain can address and aid supply chain sustainability. Part of this critical examination is how blockchains, a potentially disruptive technology that is early in its evolution, can overcome many potential barriers. Four blockchain technology adoption barriers categories are introduced; inter-organisational, intra-organisational, technical, and external barriers. True blockchain-led transformation of business and supply chain is still in progress and in its early stages; we propose future research propositions and directions that can provide insights into overcoming barriers and adoption of blockchain technology for supply chain management.

How to cite this publication

Sara Saberi, Mahtab Kouhizadeh, Joseph Sarkis, Lejia Shen (2018). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), pp. 2117-2135, DOI: 10.1080/00207543.2018.1533261.

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Publication Details

Type

Article

Year

2018

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

International Journal of Production Research

DOI

10.1080/00207543.2018.1533261

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