2095-1124

CN 51-1738/F

供应链网络国内外研究热点及发展趋势基于CiteSpace的文献计量分析

Research Hotspots and Development Trends of Supply Chain Networks at Home and Abroad: A CiteSpace-Based Bibliometric Analysis

  • 摘要: 供应链网络作为企业运营的基础,直接影响着资源配置的效率和市场响应速度,是实现可持续竞争优势的关键因素。文章以知网(CNKI)和Web of Science(WOS)数据库收录的2002—2022年供应链网络相关文献为研究对象,采用文献计量分析方法,运用CiteSpace6.3.R1软件展开研究热点及趋势分析。研究结果表明:(1)供应链网络研究已进入快速发展阶段,研究机构多集中于伊朗、美国等地区;(2)供应链网络研究热点可以归纳为四个方面,即供应链网络内涵、供应链网络类型、供应链网络风险与脆弱性、供应链网络与企业行为,涵盖供应链、网络均衡、复杂网络、网络结构、不确定性、网络设计、均衡模型、中断风险、优势生成、闭环供应链、生物乙醇等相关主题;(3)供应链网络的演化路径经历了基础理论构建、风险与不确定性应对、技术驱动与应用扩展以及可持续发展等四个阶段。绿色供应链网络与优化模型是近年来的研究前沿,未来可以围绕绿色供应链、供应链网络持续优化以及供应链网络数字化转型三个方面进行深入探讨。

     

    Abstract: As the foundation of enterprise operations, supply chain networks play a crucial role in resource allocation efficiency and market responsiveness, serving as a key driver of sustainable competitive advantage. This study employs bibliometric analysis and CiteSpace 6.3.R1 to examine research hotspots and trends in supply chain networks, based on literature published between 2002 and 2022 in the CNKI and Web of Science (WOS) databases. The main findings indicate that: (1) Research on supply chain networks has entered a phase of rapid development, with major contributing institutions located in regions such as Iran and the United States. (2) Research hotspots can be classified into four thematic areas: values of supply chain networks, network typologies, risk and vulnerability, and interactions with corporate behavior. These encompass topics such as supply chains, network equilibrium, complex networks, structural design, uncertainty, disruption risk, closed-loop supply chains, and bioethanol. (3) The evolution of supply chain network research can be divided into four stages, i.e., theoretical foundations, risk and uncertainty management, technology-driven applications, and sustainability. Recent research trends include green supply chain networks and optimization models. The paper points out that future research should focus on green supply chains, continuous network optimization, and the digital transformation of supply chain networks.

     

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