本文以企业规模、研发投入和网络成员集聚程度作为控制变量,构建了网络非重复性、企业学习能力和技术创新三者之间关系的理论模型,并以申报广东省高新技术企业和民营科技型企业的458家企业为调查对象进行了实证检验.研究结果发现:网络非重复性对企业技术创新存在显著的负向影响,但这种负向影响并没有在高集聚环境的企业中出现;学习能力对技术创新存在显著的正向影响;企业学习能力在网络非重复度和技术创新之间起完全中介作用,但在低集聚环境的企业中只起不完全中介作用;在小规模企业中,这三者之间并不存在相互影响的关系.本研究进一步深化了前人的研究结论,对组织网络及技术创新的相关研究都有学术贡献.
Taking the firm size, R&D input and clustering degree as control variables, it builds the theoretical model of the relationship among network non-recurring, study ability and technological innovation performance, and by taking high-tech and private-tech enterprises in Guangdong province as samples, it makes an empirical study on the model. The results show that network non-recurring plays a negative effect on the technological innovation performance signifi- cantly, while it is disappeared when referring to firm with a high clustering degree; study ability plays a significant positive impact on technological innovation performance; study ability plays a full mediate role between network non-recur- ring and technological innovation performance, which plays an incomplete mediate role when referring to firms with a low clustering degree; in small-size firms, the relationships among these variables disappear. It further deepens the conclusions of previous ones, and contributes to network of organizations and technological innovation.