基于CiteSpace的信息化供应链管理发展趋势分析

Development Trend Analysis of Informatization in Supply Chain Management Based on CiteSpace

摘要: 供应链管理作为现代企业管理的重要组成部分，随着全球经济的快速发展和市场竞争的加剧，信息化供应链管理已成为企业获取并维持竞争优势的关键因素。本文采用CiteSpace软件，对2014年至2024年间中国知网收录的349篇中文文献和Web of Science收录的26篇英文文献进行了可视化分析，探讨了信息化供应链管理领域的研究现状、热点及演进趋势。研究发现，国内该领域的发文量近年来呈现下降趋势，尚未形成稳定的高产作者群；国际上，该领域的发文量在2019年和2023年有所增长，总体保持稳定。研究热点方面，国内主要集中在信息技术与区块链技术的应用，以优化供应链管理；国际研究则更多关注人工智能等高级信息技术的发展对供应链管理的影响。研究热点的演变过程中，人工智能成为该领域的前沿研究方向。最后，本文基于对当前研究现状、热点及其演进过程的分析，对未来研究方向进行了展望，强调深化信息技术与供应链管理的融合，特别是在云计算、大数据、物联网等新兴技术的应用上，同时探索区块链技术与其他技术的集成应用，加强人工智能在需求预测、库存控制、物流规划等方面的应用，以实现供应链管理的自动化和智能化。未来研究还需强化跨学科合作，促进理论与实践的结合，增加实证研究和案例分析，关注绿色供应链和社会责任议题，以推动供应链管理的可持续发展。

Abstract: Supply chain management (SCM), as a crucial component of modern enterprise management, has become a key factor for enterprises to acquire and sustain competitive advantages in the face of rapid global economic development and intensified market competition. This paper employs CiteSpace software to conduct a visual analysis of 349 Chinese articles indexed by China National Knowledge Infrastructure (CNKI) and 26 English articles indexed by Web of Science from 2014 to 2024, exploring the research status, hotspots, and evolutionary trends in the field of informatization of supply chain management. The findings reveal that the number of publications in this field within China has shown a declining trend in recent years, with no stable group of high-yield authors yet formed; internationally, there was an increase in publication volume in 2019 and 2023, maintaining overall stability. In terms of research hotspots, domestic studies mainly focus on the application of information technology and blockchain technology to optimize supply chain management, while international research pays more attention to the impact of advanced information technologies, such as artificial intelligence (AI) on supply chain management. Throughout the evolution of these hotspots, AI has emerged as a frontier research direction in the field. Finally, based on the current research status, hotspots, and their evolutionary processes, this paper looks forward to future research directions, emphasizing the deep integration of information technology with supply chain management, particularly in the application of emerging technologies, such as cloud computing, big data, and the Internet of Things (IoT). It also advocates for the exploration of integrated applications of blockchain technology with other technologies, enhancing the application of AI in demand forecasting, inventory control, and logistics planning to achieve automation and intelligence in supply chain management. Future research should also strengthen interdisciplinary cooperation, promote the combination of theory and practice, increase empirical research and case studies, and pay attention to issues related to green supply chains and social responsibility to promote the sustainable development of supply chain management.