期刊文献+

基于高质量专利的企业画像构建研究 被引量:6

Research on the Construction of Enterprise Profile Based on High-quality Patent
下载PDF
导出
摘要 [目的/意义]当前,我国经济已经由高速增长阶段转向高质量发展阶段,有必要面向企业等市场创新主体,从高质量专利的角度出发,开展企业画像研究,以帮助我们深入揭示具体产业创新前沿知识,刻画企业的创新技术背景,拓展面向企业的精准服务。[方法/过程]本文通过文献调研,梳理了高质量专利识别和企业画像的研究现状,提出了基于高质量专利的企业画像框架,从数据层、识别层、画像层和应用层四个方面进行了阐释,并以四川网络安全产业为例进行案例分析,从地理分布、成立时间、申请数量、技术布局和技术转让等角度为相关企业进行画像,展现了在四川网络安全产业中实践高质量发展的企业群体特征。[结果/结论]本文提出的企业画像框架对于精准定位扶持对象,调整具体产业布局方向以及践行经济高质量发展等具有重要意义。 [Objective/Significance]At present,China’s economy has shifted from a stage of rapid growth to a stage of highquality development.It is necessary for enterprises and other market innovation entities to carry out enterprise profile studies from the perspective of high-quality technological innovation to help us reveal the cutting-edge knowledge of specific industrial innovation,portray the innovative technology background of the enterprise and expand the precise services for the enterprise.[Methods/Process]Through literature research,this paper introduces the research status quo of high-quality patent identification and enterprise profile,and proposes an enterprise profile framework based on high-quality patent.It explains from four aspects:data layer,identification layer,portrait layer and application layer.The Sichuan cybersecurity industry is taken as an example to conduct the case analysis,and to profile related companies from the perspectives of geographic distribution,establishment time,number of applications,technology layout,and technology transfer,showing the characteristics of enterprise groups that practice high-quality development in the Sichuan cybersecurity industry.[Results/Conclusions]The framework proposed in this article is of great significance for accurately positioning support objects,adjusting specific industrial layout directions,and practicing highquality economic development.
作者 刘春江 李娜 许海云 方曙 LIU Chunjiang;LI Na;XU Haiyun;FANG Shu(Chengdu Library and Information Center,Chinese Academy of Sciences,Chengdu 610041,China;Department of Library,Information and Archives Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China;School of Management,Shandong University of Technology,Zibo 255049,China;China Institute of Science and Technology Information,Beijing 100038,China)
出处 《情报工程》 2021年第3期54-67,共14页 Technology Intelligence Engineering
基金 四川省科技计划项目“基于高质量技术创新的四川省产业主体画像研究”(2020JDR0009)。
关键词 技术创新 高质量专利识别 企业画像 Technological innovation high-quality patent identification enterprise profile
  • 相关文献

参考文献16

二级参考文献161

共引文献538

同被引文献65

引证文献6

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部