供应链管理研究热点主题可视化分析——以SCI为数据源

Visualization Analysis of Hot Topics in Supply Chain Management Research——Using SCI as a Data Source

【目的/意义】为了探测过往供应链管理研究的热点主题以及不同主题之间的关系,以及学者们重点关注主题,这些被关注的对象之间是否存在联系,联系强度如何。【方法/过程】检索1999年-2016年SCI论文,依据关键词知识单元识别主题,采用词频分析、共词分析、聚类分析、社会网络分析进行知识可视化,并在假设前提下结合相应指标对结果进行研判。【结果/结论】①确定出100个高频关键词,聚类分析后形成8个热点研究簇。②热点主题组成的社会网络密度较高,从是否存在关联的角度看,热点主题之间存在广泛关联。③热点主题之间具体关联强度较弱。在关联相对较强的主题网络中,关键的桥点、模块、小世界与关系对是当前研究继续关注的焦点。

【Purpose/significance】In order to detect the hot topics of the past supply chain management research and the relationships between different topics.Namely,it’s to determine what scholars focus on,whether there are connections between these concerned objects,and how strong the connections are.【Method/process】Retrieve SCI papers between 1999 and 2016,identify the topics based on keywords,use word frequency analysis,co-word analysis,cluster analysis and social network analysis to achieve visualize,and combine the corresponding indicators to analyze the results under the premise of the hypothesis.【Result/conclusion】Firstly,100 high-frequency keywords are identified,and 8 hot clusters are formed after cluster analysis.Secondly,the density of social networks consisting of hot topics is high,from the perspective of whether there are correlations,the correlations between hot topics are extensive.Thirdly,the intensity of correlation between every two subjects is weaker in particular.In the network of topics with relatively strong correlations,some key bridge points,modules,small-worlds and relationship-pairs are the focus of current research.