资源异质性、知识流动与产学研协同创新——以人工智能产业为例

Resource heterogeneity, knowledge flow and synergy innovation of industry-university-research institute:An empirical study on AI industry

以人工智能为引领的新一轮产业变革催生了创新网络多系统共享开放、多主体互动互补、多因素震荡交织等特征的凸显,使得产学研协同创新对资源异质性、知识流动的双重需求日益加剧。该研究以人工智能产业为例,分类别、分阶段探讨了资源异质性与知识流动对产学研协同创新的动态交互效应。研究表明:资源异质性对产学研协同创新具有显著的促进作用;但随着产业生命周期的不断推进,知识吸收对此促进作用经历了"负向调节效应较大-负向调节效应缩小-正向调节效应加强"的动态调节过程,而知识扩散则经历了"正向调节效应较小-负向调节效应出现-负向调节效应增大"的动态调节过程,为寻找人工智能产学研协同创新生态治理的突破口提供了参考依据。

The new round of industrial revolution led by AI has brought about the prominence of innovation network new characteristics, includingmulti-system sharing and opening, multi-agent interaction and complementarity, multi-factor oscillation and interweaving.It causes the dual demand of industry-university-research institute synergy innovation(IURSI) for resource heterogeneity and knowledge flow.This paper takes AI industry for example, and discusses dynamic interaction effect of resource heterogeneity and knowledge flow on IURIS. The results show that:Theresource heterogeneity plays a significant role in promotingIURIS.However, with the continuous development of the industrial life cycle, knowledge absorption to this promoting role has undergone a dynamic process of "greater negative moderating effect-smaller negative moderating effect-stronger positive moderating effect", and knowledge diffusion to this promoting role has undergonea process of "small positive regulation effect-negative regulation effect appears-negative regulation effect increases". These discoveries provide referencefor findingthe breakthrough point of AI IURIS’s governance.