| 摘要: |
| 智慧物流作为现代物流的发展趋势,日益受到社会各界的广泛关注,但目前针对该领域整体研
究状况进行系统梳理的文献较为欠缺。 基于 CNKI 数据库中以“智慧物流” 为篇名的学术文献,运用
CiteSpace 从发文量、发文作者、发文机构、关键词共现、关键词时间线聚类、关键词时区、关键词突现等角
度进行可视化分析,以此识别该领域研究热点、研究前沿等,探讨绘制知识图谱时所采用的节点阈值选择
标准对聚类效果产生的影响。 研究结果表明:国内智慧物流研究始于 2010 年,研究作者和机构多数独立
进行研究,合作联系较少;研究热点主要集中在物联网、大数据、人工智能等与智慧物流的融合研究,从初
期的供应链、物联网等向大数据、应用、人才培养等过渡;研究主题主要集中于技术与运用、物流设施建
设、推动力量三个层面;研究前沿主要集中于生态圈、“互联网+”等;选择不同节点阈值标准会影响聚类、
节点和连线的数量。 最后,基于聚类分析对智慧物流领域的技术与装备进行了分类归纳。 |
| 关键词: 智慧物流 CiteSpace 可视化分析 研究热点 研究前沿 知识图谱 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Visual Analysis of Smart Logistics Research under the Background ofHigh-quality Development |
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WANG Chuan-lei, YANG Dong-xiang, ZHANG Chun-meng,LIU Shu-mei, YANG Yu-xin1,2
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1.a. School of Business;2.b. Logistics and Supply Chain Research Center, Anhui University, Hefei 230039, China
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| Abstract: |
| As the development trend of modern logistics, smart logistics has attracted more and more atten_x0002_tion from all walks of life. However, at present, there is a lack of literature systematically combing the overall
research situation in this field. Based on the academic literature titled “Smart Logistics” in CNKI database, this
paper uses CiteSpace to make visual analysis from the perspectives of the number of published articles, authors,
organizations, keyword co-occurrence, keyword timeline clustering, keyword time zone, keyword emergence,
etc, so as to identify the research hotspots and frontiers in this field, and discuss the influence of the selection
criteria of node threshold on clustering effect when drawing knowledge map. The research results show that the
research on smart logistics in China started in 2010. Researchers and institutions mostly conducted research independently,with fewer collaborations and contacts. Research hotspots mainly focus on the integration of Internet
of Things, big data, artificial intelligence and smart logistics, from the initial supply chain and Internet of
Things to big data, application and personnel training. The research focuses on three aspects: technology and
application, logistics facilities construction and driving force. Ecosphere and “ internet +” have gradually become the research frontiers in recent years. Selecting different threshold criteria of nodes will affect the number of
clusters, nodes and connections. Finally, based on cluster analysis, the technologies and equipment in the field
of intelligent logistics are classified and summarized. |
| Key words: smart logistics CiteSpace visual analysis research hotspot research frontier knowledge
map |
