网络惯例、知识转移与创新绩效的关系研究

Research on the relationship between network practice, knowledge transfer and innovation performance——Take cooperative equity and absorptive capacity as moderator variables

摘要:

在知识经济时代,创新网络日益成为企业创新的重要支柱,创新网络的治理问题逐渐受到学者们的关注。其中,网络惯例作为非正式治理的重要方式,在创新网络治理中发挥着重要作用。鉴于此,本文对网络惯例、知识转移、创新绩效、合作公平以及吸收能力的内在作用机理进行了剖析,并对其进行了实证检验,结果如下：(1)网络惯例中的行为默契和规范共识能够对企业的创新绩效产生积极影响；(2)知识转移在网络惯例与创新绩效之间具有中介作用,即网络惯例的治理功能可以促进成员之间的知识转移,进而对成员的创新绩效产生积极的影响；(3)在创新网络中,企业的吸收能力对知识转移与创新绩效之间的关系起负向调节作用,其原因是成员的吸收能力越强可能会增大对方对自身核心知识的保护力度,导致知识转移的难度增大,这样一来较高的吸收能力反而对知识转移与创新绩效之间的关系产生了抑制作用；(4)在合作创新中,程序公平与分配公平会正向调节网络惯例与知识转移之间的关系,即二者会增强网络惯例对知识转移的正向促进作用；而互动公平对网络惯例与知识转移之间关系的调节作用并不显著；(5)网络惯例中行为默契与规范共识两维度之间存在正相关关系,彼此间的倒U型关系并不显著。

Abstract:

In the era of knowledge economy, innovation networks have increasingly become an important pillar of enterprise innovation, and the governance of innovation networks has gradually attracted the attention of scholars.Among them, as an important way of informal governance, network conventions play an important role in innovative network governance.In view of this, this paper analyzes and empirically tests the internal mechanism of network practices, knowledge transfer, innovation performance, fairness perception and absorptive capacity. The results are as follows: (1) tacit understanding and normative consensus in network practices can have a positive impact on the innovation performance of enterprises.(2) Knowledge transfer plays an intermediary role between network conventions and innovation performance, that is, the governance function of network conventions can promote knowledge transfer among members, and then have a positive impact on innovation performance of members.(3) In the innovation network, the absorptive capacity of enterprises plays a negative role in regulating the relationship between knowledge transfer and innovation performance, that is, the stronger the absorptive capacity of members may enhance the protection of each other"s core knowledge, so the higher absorptive capacity will inhibit the relationship between knowledge transfer and innovation performance.(4) In cooperative innovation, procedural fairness and distributive fairness will positively adjust the relationship between network convention and knowledge transfer, that is, they will enhance the positive role of network convention on knowledge transfer; However, interactive fairness has no significant moderating effect on the relationship between network conventions and knowledge transfer.(5) There is a positive correlation between the two dimensions of behavioral tacit understanding and normative consensus in network conventions, and the inverted U-shaped relationship between them is not significant.