Research on the Configuration of Influencing Factors of Collaborative Innovation Performance of Science and Technology Innovation Park
Starting from the theory of innovation ecosystem,this study takes 8 national level science and technology innovation parks located in Jiangsu Province as typical cases,and uses the coding method of grounded theory and text analysis methods to identify key factors that affect the collaborative innovation performance of science and technology innovation parks.Then,based on the perspective of configuration,69 Jiangsu Science and Technology Innovation Parks were further selected,and the fsQCA method was used to explore the condition configuration that affects their collaborative innovation performance through comparison between cases.The following important conclusions were obtained from the study.First,a single element does not constitute a necessary condition for high collaborative innovation performance in science and technology innovation parks.Second,there are four driving modes of high collaborative innovation performance,namely"university-government driven","park led-government supported","government-university-park concerted"and"government led-park managed".Third,there is a clear substitution relationship between different conditions and factors under specific circumstances.For example,under certain conditions,the investment of top talents and financial resources has the same effect on achieving high collaborative innovation performance.This study explores the complex causal relationship between collaborative innovation performance and its influencing factors in science and technology innovation parks from a configuration perspective based on the theory of innovation ecology,enriching the research on collaborative innovation performance in science and technology innovation parks and providing practical guidance for innovation activities in science and technology innovation parks.
science and technology innovation parkhigh quality collaborative innovationcollaborative innovation performancefsQCA
万方数据
维普
