Study on Domestic SMEs Area Status Based on Co-word Analysis

被引:0
|
作者
Lv Yibo [1 ]
Cheng Lu [1 ]
机构
[1] Dalian Univ Technol, Sch Management, Dalian, Peoples R China
关键词
SMEs Area; Co-word Analysis; Statistic Techniques; Visual Technique;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
At present. thousands of scholars are committed to research on small and medium enterprises (SMEs), but different scholars may have different views due to the differences of the entry points, the focus points, the research methods, etc. Therefore, it is necessary to clarify the research status of the scholars', summarize the content & structure of domestic small and medium enterprises (SMEs) area, and predict the development trend for the later scholars to do further studies in the next research stage under such circumstances. For these reasons above, in this paper, we use co-word analysis method for 44 high-frequency keywords in 1025 academic theses about SMEs, which are published on the 30 core manage mental journals, through statistical and visual techniques, to study the current situation of domestic small and medium enterprises (SMEs) and to forecast its development trend, hoping to provide scholars a valuable reference for the next research stage.
引用
收藏
页码:310 / 314
页数:5
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