摘要
构建了影响专利组合成效的整体性研究框架,采用模糊集定性比较分析方法,探究驱动高价值专利组合的多重等效路径。研究发现:高与非高专利组合成效的产生路径具有明显的因果非对称性,其中知识产权战略与大数据能力是企业高价值专利组合的核心因素,得出3条驱动路径,即知识产权战略下研发能力驱动型、大数据能力缺失下环境竞争促进型和大数据能力主导下中介连接赋能型。
A holistic research framework affecting the effectiveness of patent portfolios is constructed,and a fuzzy set qualitative comparative analysis method is adopted to explore the multiple equivalent paths driving high-value patent portfolios.It finds that the paths of high and non-high patent porfolio effectiveness have pronounced causal asymmetry,among which IP strategy and big data capability are the core factors of the high-value patent porfolios of enterprises.Three driving paths are derived,namely,R&D capability-driven under IP strategy,environment competition-promoted under the lack of big data capability,and intermediary connection empowered under the dominance of big data capability.
作者
王丽平
张然萱
WANG Li-ping;ZHANG Ran-xuan(School of Management,Tianjin University of Technology,Tianjin 300384)
出处
《软科学》
CSSCI
北大核心
2024年第7期50-56,共7页
Soft Science
基金
天津市本科教学改革研究计划项目(B231006004)
校级研究生教育教学改革项目(ZDXM2205)。
关键词
数字经济
专利组合
驱动路径
模糊集定性比较分析
digital economy
patent portfolio
driving paths
fuzzy-set qualitative comparative Analysis