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Scientific Article details

Title Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach
ID_Doc 19724
Authors Ayan, B; Güner, E; Son-Turan, S
Title Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach
Year 2022
Published Logistics-Basel, 6.0, 4
DOI 10.3390/logistics6040085
Abstract Background: This study presents a comprehensive review of blockchain technology with a sustainability orientation in supply chains and logistics. Methods: The publications are extracted from the Scopus and Web of Science databases, comprising 552 publications between 2017 and 2022. Several bibliometric laws and techniques, namely three-field analysis, Bradford's Law, Lotka's Law, and thematic maps, are applied in R with the bibliometrix package. Content analysis is also carried out based on 185 publications to appreciate the industry-based view of the field. Results: The bibliometric results indicate that this field is on the rise. Authors, sources, affiliations, countries, keywords, and their relationships are also addressed. The findings of the content analysis and thematic maps reveal that some of the most highlighted themes in the literature include traceability, COVID-19, the internet of things, and Industry 4.0. The most popular industry in this field is discovered to be food and agriculture. Conclusions: This paper contributes to the still relatively scarce literature on how blockchain technology fosters sustainable supply chains and logistics, providing a closer look at blockchain use, methodologies, and future directions for different industries concerning food, agriculture, fashion, textile and apparel, manufacturing, automotive, maritime and shipping, healthcare and pharmaceutical, mining and mineral, and energy.
Author Keywords blockchain; sustainability; supply chains; logistics; bibliometric analysis; biblioshiny; three-field analysis; Bradford's law; Lotka's law; thematic map; content analysis
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000901153200001
WoS Category Management; Operations Research & Management Science
Research Area Business & Economics; Operations Research & Management Science
PDF https://www.mdpi.com/2305-6290/6/4/85/pdf?version=1670576375
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