In the digital era,the data-intensive science has become a key force driving the frontier technological innovation and it re-quires local enterprises to have new abilities in carrying out science-based innovation.Taking 37 local enterprises as research samples,this study applies the multiple case study method combining grounded analysis and qualitative comparative analysis(QCA),to explore the structure of the science-based innovation capability system,and how to build up the capability system in the digital era in differentia-ted paths.The findings show that:(1)the data-intensive scientific ability,data engineering ability,and the interactive ability between science and society compose the science-based innovation capability system in the digital era;the adequate data resources,complete data infrastructures and advanced data underlying technologies provide resource conditions for the capability system construction;(2)the dif-ferent types of local enterprises build up their science-based innovation capability system by different paths.The science enterprises usu-ally follow the data intensive science-driven path in sequence of"Science-Engineering-Society".The internet platform enterprises often adopt the data engineering-driven path in sequence of"Engineering-Science-Society".The integrated enterprises of research,production,and sales normally follow the social application-driven path in sequence of"Society-Science-Engineering".This study reveals the interac-tive relationship among the science,technology,engineering,and application in the science-based innovation area,and provides theoret-ical references and management enlightenment for local enterprises to obtain the innovation opportunities brought by the data-intensive scientific research paradigm,and to carry out frontier technological innovation in the digital era.
关键词
数字时代/基于科学的创新/数据密集型科学/案例研究
Key words
digital era/the science-based innovation/data-intensive science/case study
万方数据