Kuanchin Chen, Damodar Y. Golhar, Snehamay Banerjee
{"title":"Blockchain applications and challenges for supply chain and Industry 4.0: a literature review","authors":"Kuanchin Chen, Damodar Y. Golhar, Snehamay Banerjee","doi":"10.1504/ijads.2023.127957","DOIUrl":null,"url":null,"abstract":"Application of blockchain technology to facilitate a flexible, reliable, and efficient supply chain is an emerging phenomenon. Motivated by its potential use, researchers have started investigating blockchain's use for managing complex global supply chains. In addition to established supply chain performance criteria, Industry 4.0 requires a more data driven supply chain (SC), where data collection, transmission and processing capabilities are embedded in smart products. However, review articles of blockchain in SC primarily report descriptive statistics, but do not provide sufficient evidence on how topics are studied together. This article discusses the role of blockchain in SC and presents a methodology to study co-occurrence of blockchain topics in SC. Three most often researched topics identified are transparency/traceability, transaction related issues and tracking. Using a machine learning algorithm, we further examine trends of co-occurrence among various topics of interest and identify 'gaps' in existing literature and point to future research directions.","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Decision Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijads.2023.127957","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 2
Abstract
Application of blockchain technology to facilitate a flexible, reliable, and efficient supply chain is an emerging phenomenon. Motivated by its potential use, researchers have started investigating blockchain's use for managing complex global supply chains. In addition to established supply chain performance criteria, Industry 4.0 requires a more data driven supply chain (SC), where data collection, transmission and processing capabilities are embedded in smart products. However, review articles of blockchain in SC primarily report descriptive statistics, but do not provide sufficient evidence on how topics are studied together. This article discusses the role of blockchain in SC and presents a methodology to study co-occurrence of blockchain topics in SC. Three most often researched topics identified are transparency/traceability, transaction related issues and tracking. Using a machine learning algorithm, we further examine trends of co-occurrence among various topics of interest and identify 'gaps' in existing literature and point to future research directions.
期刊介绍:
IJADS is a double-blind refereed international journal whose focus is to promote the infusion of the functional and behavioural areas of business with the concepts and methodologies of the decision sciences and information systems. IJADS distinguishes itself as a business journal with an explicit focus on modelling and applied decision-making. The thrust of IJADS is to provide practical guidance to decision makers and practicing managers by publishing papers that bridge the gap between theory and practice of decision sciences and information systems in business, industry, government and academia. Papers published in the journal must contain some link to practice through realistically detailed examples or real applications.