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基于文献计量法的可持续供应链管理现状、热点、趋势研究
引用本文:唐金环,张益阁,赵礼强.基于文献计量法的可持续供应链管理现状、热点、趋势研究[J].科技和产业,2019,19(8):68-77.
作者姓名:唐金环  张益阁  赵礼强
作者单位:沈阳航空航天大学经济与管理学院,辽宁 沈阳,110136;沈阳航空航天大学经济与管理学院,辽宁 沈阳,110136;沈阳航空航天大学经济与管理学院,辽宁 沈阳,110136
基金项目:国家自然科学基金;教育部人文社会科学研究项目;辽宁省教育厅重点项目
摘    要:可持续供应链的构建,是指在供应链管理过程中贯彻可持续发展理念,既满足当代人的发展需要,同时又对后代人的需求不构成危害的供应链发展趋势。以WOS数据库中2010—2018年间的可持续供应链领域的三千多篇文献为研究对象,采用基于CiteSpace的文献计量方法对蕴含在SSCM主题文献中的知识结构进行了深入的挖掘和分析,从关键词聚类、高被引作者及研究机构、高影响力作者等层面来探究SSC领域的研究现状和热点。在此基础上,从SSCM的经济、社会、环境维度展开对其研究现状进行归纳,并结合较经典的四种建模方法(LCA、EM、MCDA、AHP)对可持续供应链管理进展和趋势进行了分析,对了解和分析可持续供应链问题的发展态势以及推动可持续供应链问题的深入研究具有重要的学术意义。

关 键 词:可持续供应链  CiteSpace工具  可视化知识图谱  三重维度

Research on the Progress and Trend of Sustainable Supply Chain Management Based on Bibliometrics
Abstract:The construction of sustainable supply chain refers to the development trend of supply chain that implements the concept of sustainable development in the process of supply chain management, which not only meets the development needs of contemporary people, but also does not harm to the needs of future generations. This paper takes more than 3, 000 articles in the field of sustainable supply chain problems in the WOS database from 2010 to 2018 as the research object, and uses the method of document measurement based on CiteSpace to deeply excavate and analyze the knowledge structure contained in the subject literature of SSCM. To explore the research in the field of SSC from the aspects of key words clustering, high citation authors and research institutes, high influence authors, etc. Status quo and hot spots. On this basis, the present research situation of SSCM is summarized from the aspects of economy, society and environment, and the progress and trend of sustainable supply chain management are analyzed with four classical modeling methods (LCA,EM,MCDA,AHP). This study is of great academic significance to understand and analyze the development trend of sustainable supply chain and to promote the further study of sustainable supply chain.
Keywords:sustainable supply chain  citespace tool  visual knowledge map  triple dimension
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