摘要
为准确把握当前员工反馈寻求行为研究的现状、热点和研究方向,绘制该领域国际研究的国家合作网络、机构合作网络和作者合作网络的知识图谱,分析当前研究的主要力量源。通过对关键词及其演进历程和被引文献热点聚类把握研究热点和未来研究前沿。借助CiteSpace可视化软件,对20年来SSCI中收录的员工反馈寻求行为研究领域的979篇相关文献进行可视化分析。研究表明:该领域整体研究力量呈逐年上升的趋势;中国在该研究领域的影响力增强,中国学者钱婧发文数量最多;研究机构影响力较大的是荷兰的Maastricht Univ;整体上作者之间的合作网络并不密集;根据热点关键词的特点和激增情况可以发现,员工反馈寻求行为研究经历三个阶段,聚焦于四个热点视角,即员工个性特征、领导者风格特征、组织环境特征和反馈寻求绩效。
In order to accurately grasp the status quo,hotspots and development frontiers of employee feedback seeking behavior worldwide,the knowledge maps of national cooperation network,institutional cooperation network and author cooperation network are generated,and the main sources of current feedback seeking behavior research are analyzed.Through clustering key words and their evolution process and cited literature hotspots,the research hotspots and future development frontiers are grasped.The paper conducts a visual knowledge map analysis of 979 related literatures of feedback seeking behavior collected in the SSCI over the past 20 yearsby using CiteSpace software.The research shows that the overall research strength in this field is on the rise year by year.China’s influence in the field is growing;Chinese scholar Qian jing has produced the most articles.The most influential institution is Maastricht Univ of the Netherlands;The cooperation network amongauthors is not intensive.According to the characteristics of hotspot keywords and frequency bursthistory,feedback seeking behavior research has experienced three periods;The research on employee feedback seeking behavior focuses on four hot perspectives:employee personality,leader style,organizational environment and feedback seeking performance.
作者
李作学
马婧婧
LI Zuo-xue;MA Jing-jing(School of Economics and Management,Shenyang Aerospace University,Shenyang 110136,China)
出处
《沈阳航空航天大学学报》
2020年第6期72-82,共11页
Journal of Shenyang Aerospace University
基金
中国工程院咨询研究重点项目(项目编号:2017-XZ-03)
辽宁省科技厅软科学项目(项目编号:2019JH4/10100024)
辽宁省教育厅人文社会科学研究项目(项目编号:L201641)。
关键词
反馈寻求行为
可视化分析
知识图谱
研究热点
聚类分析
feedback seeking behavior
visualization
knowledge map
research hotspot
cluster analysis
