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国际知识共享研究热点与前沿的可视化分析 被引量:1

Visual analysis of international knowledge sharing research hotspots and frontiers
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摘要 基于文献计量分析方法,借助CiteSpace对Web of Science数据库中2010—2020年间917篇知识共享文献进行可视化分析。研究发现:发文总量呈阶梯式变化,社会认知视角、社会资本视角、领导者视角的出现带来发文量的三次跳跃式增长;从国家和地区分布看,中心度高的国家其发文量也较高;从文献共被引分析中发现,综述类、研究视角类、研究方法类文章被引频次高,研究视角类主要集中在接受者视角、社交媒体视角、领导者视角和知识隐藏视角;从关键词聚类时间线分析发现,知识共享领域研究可分为个体层面、组织层面和理论与方法研究;从突现词分析发现,现阶段知识共享研究热点方向包括变革型领导、员工创造力以及社会媒体,研究方法逐渐从定性转向定量。 Based on the bibliometric analysis method,a visual analysis of 917 knowledge sharing documents in the Web of Science database from 2010 to 2020 was carried out with the help of CiteSpace.The study found that:the total amount of published articles changed in a step-by-step manner,and the emergence of the perspective of social cognition,social capital,and the perspective of leaders brought three jumps in the amount of published documents;from the perspective of country and regional distribution,the countries with high centrality also have a higher volume of publications;from the literature co-citation analysis,it is found that the articles of review,research perspective,and research method are highly cited,among which,the research perspective mainly focuses on the receiver s perspective,social media perspective,leader s perspective and knowledge Hidden perspective;from the analysis of keyword clustering timeline,it is found that research in the field of knowledge sharing can be divided into individual level,organizational level,and theoretical and methodological research;from the analysis of emergent words,it is found that the current research hot spots of knowledge sharing include transformational leadership,employee creativity and social media,and the research method gradually shifts from qualitative to quantitative.
作者 周洋 程妍 陈鑫 ZHOU Yang;CHENG Yan;CHEN Xin(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处 《科技与管理》 2022年第2期83-91,共9页 Science-Technology and Management
基金 教育部人文社会科学基金项目(20YJC630238) 国家自然科学基金项目(71904092)。
关键词 知识共享 知识图谱 可视化分析 CITESPACE knowledge sharing knowledge graph visual analysis CiteSpace
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