[关键词]
[摘要]
资源短缺及环境污染的双重压力,使闭环供应链成为可持续发展理论研究范式的新方向,而现有研究缺乏对闭环供应链领域内海量已有成果进行全面考察。运用科学计量方法,对Web of Science核心合集中2009—2018年间837篇闭环供应链文献的知识给养、知识分布、新兴趋势及结构变异进行探索。结果发现,中国国家自然科学基金委员会是闭环供应链领域内知识生产的最重要给养,而高质量学术期刊为闭环供应链的科学研究工作提供主要知识来源。闭环供应链的研究成果广泛分布于运筹学、管理科学、环境科学等学科,且其知识结晶在学科间的交叉性分布方面十分突出。消费者认知、知识整合、网络设计、定价决策、成员协调、循环经济是近五年来闭环供应链领域内的新兴研究趋势。高产作者及其变异性文献对闭环供应链领域内十年间的科研工作具有桥梁作用,为科研工作者从大量文献数据中快速获取关键信息提供有效思路。
[Key word]
[Abstract]
The double pressures of resource shortage and environmental pollution make closed-loop supply chain a new direction of sustainable development theory research paradigm. However, the existing research lacks of a comprehensive review of the massive achievements in the field of closed-loop supply chain. This paper explores the knowledge support, knowledge distribution, emerging trends and structural variation of 837 closed-loop supply chain literatures in Web of Science Core Collection from 2009 to 2018 by using quantitative method. The results show that the National Natural Science Foundation of China is the most important provider of knowledge production in the field of closed-loop supply chain, and high-quality academic journals provide the main source of knowledge for the scientific research work of closed-loop supply chain. Closed-loop supply chain research results are widely distributed in operations research, management science, environmental sciences and other disciplines, and its knowledge crystallization is very prominent in the cross-disciplinary distribution. Consumer cognition, knowledge integration, network design, pricing decision-making, member coordination and circular economy are emerging research trends in the field of closed-loop supply chain in recent five years. High-yielding authors and their variability literature have bridged the scientific research work in the field of closed-loop supply chain in the past ten years, and provided effective ideas for researchers to quickly obtain key information from a large number of literature data.
[中图分类号]
F274, G301
[基金项目]
国家自然科学基金青年项目“基于多保真度模型的产品设计优化决策方法研究”(71701123)