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作 者:程晏萍[1] 黄千芷 董慈蔚 CHENG Yanping;HUANG Qianzhi;DONG Ciwei(Library, Central China Normal University, Wuhan 430079, China;The School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)
机构地区:[1]华中师范大学图书馆,武汉430079 [2]中南财经政法大学工商管理学院,武汉430073
出 处:《华中师范大学学报(自然科学版)》2021年第3期453-461,共9页Journal of Central China Normal University:Natural Sciences
基 金:国家自然科学基金项目(71971215).
摘 要:为探究大数据在供应链管理中应用的研究现状,文章以Web of Science数据库2012年-2019年收录的151篇相关文献为研究对象,借助CiteSpace软件对收集的文献进行共引网络和关键词共现网络分析,并构建知识图谱,探究该领域的发展趋势、研究概况和当前研究热点.研究表明:1)大数据在供应链管理中应用的研究在发文期刊、国家/地区等方面呈现集中与分散并举的发展状态,其中中国、美国、英国在该领域的研究相对领先于其他国家,且各国之间有较多的合作关系.2)近几年大数据在供应链管理中应用的研究热点主要集中在供应链预测分析、绩效及框架等方面,以模型、物流、数据等为知识基础,是一门涉及多学科领域的研究.3)大数据在供应链管理中的应用,近几年仍处于不断发展的状态,在人才培养、社会应用、风险管理等方面还有较大的研究空间.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.
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