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Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 12 Oct 2018Publisher:MDPI AGJournal:Sustainability, volume 10, page 3,652 (eissn: 2071-1050,

Authors: Mahtab Kouhizadeh; Joseph Sarkis;

doi: 10.3390/su10103652

Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains

- Summary
- Subjects
- Metrics

Abstract

Blockchain technology is an inchoate technology whose current popularity is peaking. Some of the most pervasive blockchain technology use cases exist for supply chains. Sustainable, and especially green, supply chains can benefit from blockchain technology, but there are also caveats. The sustainability and environmental management research and academic literature is only starting to investigate this emergent field. This paper seeks to help advance the discussion and motivate additional practice and research related to green supply chains and blockchain technology. This viewpoint paper provides insight into some of the main dimensions of blockchain technology, an overview of the use cases and issues, and some general research areas for further investigation.

Related Organizations

Worcester Polytechnic Institute
United States
Worcester Polytechnic Institute
United States

Keywords

blockchain, applications, Environmental effects of industries and plants, green supply chain, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, use cases, GE1-350, supply chain

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	466
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 0.1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%