摘要
以广东省39家新型研发机构为研究样本,运用模糊集定性比较方法(fsQCA)探讨了新型研发机构产生高创新绩效的影响因素及其提升路径。研究发现:(1)单个影响因素难以推动新型研发机构实现高创新绩效,但不同因素的组合构型具有显著影响;(2)存在5条驱动高创新绩效的路径,包括技术驱动政府支撑型、技术驱动环境支撑型、组织支撑生态促进型、生态支撑人才促进型和全维度协同型;(3)非高创新绩效的驱动机制为1条路径,且与高创新绩效的驱动路径存在非对称性关系。研究结论不仅拓展了新型研发机构绩效管理领域的理论,还为政府和新型研发机构优化绩效提升路径提供决策支持。
Based on the internal data of 39 new R&D institutions in 15 prefecture level cities of Guangdong Province,with the help of TOE theoretical framework model,this paper uses configuration thinking and fsQCA method to integrate the above three levels and six conditional factors,and discusses the multi-dimensional combination factors and promotion path mechanism that affect the innovation performance of new R&D institutions.The conclusions are as follows:By using fsQCA3.0 software to test the necessary conditions of innovation performance of new R&D institutions,it is found that the innovation performance of new R&D institutions is affected by many factors,rather than a single factor.There are five ways to achieve high innovation performance of new R&D institutions,namely,technology driven government support,technology driven environment support,organization support,ecological promotion,ecological support,talent promotion and full dimension collaboration.Among the five paths of high innovation performance,configuration 1 a and configuration 1 b refer to the linkage matching of high-tech infrastructure and environmental factors.Configuration 2 refers to the linkage between R&D investment in organizational factors and regional environment in environmental factors.Configuration 3 refers to the linkage between high-level talents and environmental factors.Configuration 4 refers to the combination of technical factors,organizational factors and environmental factors.What’s more,there is an asymmetric relationship between the non-high innovation performance path and the high innovation performance path.Based on the above conclusions,policy makers can compare the five paths to achieve high innovation performance of new R&D institutions according to the current situation of resource allocation elements of new R&D institutions,and optimize resource allocation from three aspects of technical factors,organizational factors and environmental factors,so as to achieve high innovation performance.In addition,we can also carry out drastic reform to learn how to optimize the allocation of resources from different new R&D institutions,so as to improve innovation performance.From the perspective of the construction of new R&D institutions,we can further improve the top-level design of new R&D institutions from the three aspects of innovation elements of“technology organization environment”and their mutual collaboration.From the perspective of holistic configuration,this paper considers how to promote new R&D institutions to produce high innovation performance.Based on this,we can explore the path of scientific and technological system innovation and promote the high-quality development of new R&D institutions by building a multi-dimensional and full perspective linkage development system of“policy,industry,academic,R&D,service,finance and investment”.From the perspective of government policy-making,we can create a good innovation environment based on the perspective of“technology organization environment”,and support new R&D institutions in different situations.First,we should improve the technical infrastructure through sufficient funds,and help the development of institutions through other ways,such as formulating relevant policies,tax relief or other forms of subsidies.Second,we should create a new human resource competitive advantage system of R&D institutions through policy guidance,activate the potential of human capital,and promote the further release of“talent dividend”.Third,through the construction of innovation network circle of friends of new R&D institutions,create a diversified investment mechanism with wide participation of innovation subjects and social forces,and jointly help the sustainable development of new R&D institutions.
作者
张玉磊
张光宇
马文聪
黄水芳
ZHANG Yu-lei;ZHANG Guang-yu;MA Wen-cong;HUANG Shui-fang(School of Management,Guangzhou University of Technology,Guangzhou 510520,China;Research Center for Innovation Theory and Innovation Management,Guangdong University of Technology,Guangzhou 510520,China;Guangzhou Public Transport,Guangzhou 510006,China)
出处
《科学学研究》
CSSCI
CSCD
北大核心
2022年第4期758-768,共11页
Studies in Science of Science
基金
国家自然科学基金资助项目(71874036,72074056)
国家自然科学基金广东省联合基金项目(U1901222)