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国际物流研究领域的知识可视化分析 被引量:19

Knowledge Visualizing Analysis in International Logistics Research
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摘要 以国际物流领域的2978篇SCI论文为研究对象,考察该领域的学术期刊、关联学科、演化过程、研究热点和发展趋势。物流研究是管理学与计算机科学、运输科学等学科相互交叉、相互渗透和相互融合的综合领域,但其主体属于管理学,是管理学的一个分支。通过CiteSpace软件绘制物流研究领域的知识图谱,展示该领域的重要文献、著名学术人物和主要研究内容,揭示该领域的演化过程、研究热点和发展趋势。物流研究领域已经形成三个知识群:基于供应链的物流活动核心知识群、物流活动拓展知识群和物流支持系统知识群。物流研究主体已经跨越传统物流理论研究阶段,目前处于供应链理论研究阶段,而最近十年出现的逆向物流理论研究正成为一个新的主流发展阶段。 Based on 2 978 international logistics documents from SCI, this paper explores the academic research journals, related disciplines, evolutionary process, hot issues and development trends of logistics research. The results show that logistics study is an in- terdisciplinary field related to management science, computer science, transportation science and others. But its main research field belongs to management science, it is a branch of management science. By using the software CiteSpace, this paper draws the knowl- edge domains of logistics research which shows representative documents, famous scholars, research contents, evolutionary process, hot issues and emerging trends. In conclusion, logistics research is formed into three knowledge groups: core knowledge, extended knowl- edge and logistics supporting system knowledge. Logistics study supasses the traditional and classical theories in recent years, supply chain theory is an important phase, and the theory of reverse logistics is becoming a new trend and the main stream.
出处 《图书情报工作》 CSSCI 北大核心 2010年第8期140-143,130,共5页 Library and Information Service
基金 国家自然科学基金项目"基于技术科学的前沿技术科学图谱分析与强国战略研究"(项目编号:70773015)研究成果之一
关键词 知识图谱 物流 供应链 可视化共被引分析 mapping knowledge domain logistics supply chain visualization co-citation analysis
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参考文献6

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