【摘要】 本文以美国制造业创新网络8个案例项目中的16家公司为样本,应用模糊集定性比较分析方法整合企业创新资源、公共部门创新投入和创新网络规模层面的6个条件变量,探讨其与公私合作技术创新网络中企业创新产出的复杂因果机制。研究发现有助于提升企业创新产出的4种构型,并进一步归纳如下:(1)大企业在创新资源方面的欠缺可以通过公私合作技术创新网络中的公共部门投入和成员间的知识共享得到弥补,从而提高自身的创新产出;(2)小企业更适合参与规模较小的公私合作技术创新网络,以克服信任程度缺失造成的内部资源耗散,与此同时,提高自身研发投入强度是其获得高创新产出的关键。更多还原

【Abstract】 This paper takes 16 companies in 8 case projects of American manufacturing innovation network as samples,applies the qualitative comparative analysis of fuzzy sets to integrate 6 conditional variables of enterprise innovation resources,public sector’s innovation input and innovation network scale,and explores the complex causal mechanism between them and enterprise innovation output in the public-private technological innovation network(PPTIN).The study found four routes that can help increase the innovation output of enterprises,and further summarized them as follows.(1) For large enterprises,the lack of innovation resources can be made up by public sector’s investment in PPTIN and knowledge sharing among members,thereby increasing their innovation output;(2) For small enterprise,they are more suitable to participate in smaller PPTIN to overcome the internal resource dissipation caused by the lack of trust.At the same time,increasing the intensity of their R&D investment is the key to their high innovation output.更多还原