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Application Hotspot And Trend Analysis Of Big Data In Supply Chain

Posted on:2021-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:J J ChengFull Text:PDF
GTID:2428330614959681Subject:Logistics engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the fast development of information technology,the amount of data and information increases exponentially.The collection,recording and analysis of data have become indispensable work in various fields.There is no doubt that the era of big data has come.Because of large quantity,variety and real-time processing speed,data has brought unprecedented value to enterprises.In addition,big data has also been widely used in supply chain management.Applying big data to supply chain management,can improve the whole supply chain structure from upstream suppliers to downstream customers,ensure the timely transmission of information between all links of the supply chain,improve the overall efficiency of the supply chain,and finally realize the smart supply management mode with big data as the core.In the article,in order to study the application hotspot and trend of big data in supply chain,by crawling the literature based on CNKI and Web of Science database,analyzing big data supply chain at home and abroad in recent years.Combined with word frequency analysis,social network analysis,multi-dimensional scale analysis,CO word clustering analysis,and other methods,it obtains the research hotspot of big data supply chain at home and abroad,the development and changes of key words,and the relevant links.Finally,it summarizes the future research trend of big data driven supply chain management at home and abroad and gives some advices.
Keywords/Search Tags:Big Data, Supply Chain, Word Frequency Analysis, Co-word Clustered Analysis, Social Network Analysis
PDF Full Text Request
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