摘要
本文基于技术轨道理论和德温特创新专利引文索引(Derwent Innovation Index,DII)数据库,利用Python编程语言获取专利引用数据,以智能手机技术颠覆传统手机技术等为例,分析了专利量、专利引用量和专利引用率等随时间变化的JΛL型曲线,从而揭示了颠覆性技术的演化轨道,建立了颠覆性技术演化的分析框架,并提出了"专利影响因子"这一计量指标,提高了对颠覆性技术进行早期识别的准确性,以期为相关研究者提供有益的启示。
Based on the theory of technology trajectory, this paper, by taking how smartphone technology subverts the traditional mobile phone technology as an example, analyzes the JAL curve of the amount of patents, patent citation and patent citation rate over time by patents＇ citation information, which is crawled down by applying the Python programming in Derwent Innovation In- dex database. The result reveals the smartphone＇ s technology evolution trajectory, establishes the analysis framework of disrup- tive technology evolution and proposes the patent impact factor to realize the early identification of disruptive technology, hoping to provide researchers with useful information.
出处
《科研管理》
CSSCI
北大核心
2016年第3期13-20,共8页
Science Research Management
基金
国家自然科学基金重点项目(71033002,PORC框架下的国家自主创新体系国际化理论与政策研究)
国家自然科学基金项目(71540006,基于DSGE模型的新能源汽车产业协同创新体系研究)
关键词
颠覆性技术
专利影响因子
演化轨道
早期识别
disruptive technology
patent impact factor
evolution trajectory
early identification
