The application of big data in supply chain management：knowledge mapping analysis based on CiteSpace
CHENG Yanping1， HUANG Qianzhi2， DONG Ciwei2
1.Library， Central China Normal University， Wuhan 430079， China；2.The School of Business Administration， Zhongnan University of Economics and Law， Wuhan 430073， China
Abstract：To explore the application of big data in supply chain management， 151 related literatures collected in the Web of Science database from 2012 to 2019 were taken as the research object. The literatures co-citation network and keywords co-occurrence net-work by CiteSpace were analyzed， and knowledge maps were constructed to explore the development status， evolution trend and current research hotspots of this field. The results show that ： 1) The research on the application of big data in supply chain management has the characteristics of centralized and decentralized development in publishing journals and countries/regions， among which China， the United States and the United Kingdom are relatively ahead of other countries in this field， and there are many cooperative relationships among countries. 2) In recent years， the application of big data in supply chain management focuses on big data， predictive analysis， data science， performance and other aspects. It is a multidisciplinary research based on the knowledge of model， logistics， data， etc. 3) The application of big data in supply chain management is still in a state of continuous development in recent years， and there is also a large research space in talent cultivation， social application， risk management and other aspects.
程晏萍,黄千芷,董慈蔚. 大数据在供应链管理中应用的研究现状——基于CiteSpace的知识图谱分析[J]. 华中师范大学学报(自然科学版), 2021, 55(3): 453-461.
CHENG Yanping,HUANG Qianzhi,DONG Ciwei. The application of big data in supply chain management：knowledge mapping analysis based on CiteSpace. journal1, 2021, 55(3): 453-461.
2021, Vol. 55 
