摘要
产学研协同创新在促进科技成果转化、提升企业创新绩效过程中起着积极作用。基于社会网络理论,从产学研协同创新视角切入,利用371份联盟网络企业调查数据,构建一个有调节的中介模型,采用结构方程和层级回归分析法进行实证检验。结果显示:协同能力可由企业与产学研协同创新中的四类主体构成的二阶四维变量表示;联盟网络嵌入正向影响企业协同能力和创新绩效;协同能力在结构嵌入和关系嵌入对创新绩效的影响中起部分中介作用;知识刚性负向调节协同能力与创新绩效的作用关系。结论可为嵌入在产学研联盟网络中的企业如何与外部主体有效合作以提升创新绩效提供有益借鉴。
Industry-University-Research collaborative innovation plays an active role in promoting the transformation of scientific and technological achievements and improving the innovation performance of enterprises.This research based on the theory of social network,from the perspective of Industry-University-Research collaborative innovation,using the 371 valid data obtained from the survey of enterprises in the alliance network,we construct a moderated mediation model,using structural equations and hierarchical regression analysis to make an empirical test.The empirical results indicate that collaborative competence can be composed of a second-order four-dimensional variable,which is the co-effect of enterprise with four types of subjects in the Industry-University-Research collaborative Innovation;alliance network embedding positively affects collaborative competence and innovation performance;collaborative competence plays a partial mediating role in the impact of structural embedding and relationship embedding on innovation performance;Furthermore,knowledge rigidity has a negative regulation.The conclusions provide a useful reference for how companies embedded in the network of Industry-University-Research collaborative innovation can effectively cooperate with external entities to improve their innovation performance.
作者
吴兴宇
王满
Wu Xingyu;Wang Man(School of Accounting, Dongbei University of Finance&Economics;China Internal Control Research Center, Dongbei University of Finance&Economics, Dalian 116025, China)
出处
《科技进步与对策》
CSSCI
北大核心
2020年第3期16-23,共8页
Science & Technology Progress and Policy
基金
国家社会科学基金项目(15BGL058)。
关键词
产学研协同创新
联盟网络嵌入
协同能力
知识刚性
创新绩效
Industry-University-Research Collaborative Innovation
Alliance Network Embedding
Collaborative Competence
Knowledge Rigidity
Innovation Performance
