数字化转型能力视角下企业网络结构对企业创新绩效的影响研究

The Influence of Corporate Network Structure on Corporate Innovation Performance from the Perspective of Digital Transformation Capability Impact study

摘要:

数字经济飞速发展的今天，企业加速实施数字化转型以期运用数字化技术实现自身的创新突破，而企业运用数字化转型能力，强化创新资源的深度融合，正是实现这一目标的重要途径。本文以陕西装备制造业企业为调查对象，构建结构方程模型，以206份有效调查问卷为数据样本，采用Bootstrap方法实证检验企业网络结构对于装备制造业企业创新绩效的作用机制，验证数字化转型能力的中介作用。研究表明，企业网络结构对创新绩效存在正向影响：结构洞和网络中心度均对企业创新绩效存在显著正向影响，而网络规模对企业创新绩效存在部分显著正向影响。其中数字化转型信息整合能力在网络规模、结构洞及网络中心度对企业创新绩效的影响中存在显著中介作用；而数字化转型技术应用能力中介作用不显著，反映出装备制造业企业实现技术创新由“信息化红利”逐步向分布式的智能生产资源高度整合过渡。

Abstract:

Today, with the rapid development of the digital economy, companies are accelerating their implementation of digital transformation in order to use digital technology to achieve their own innovation breakthroughs, and the use of digital transformation capabilities to strengthen the in-depth integration of innovative resources is an important way to achieve this goal. This paper selects 206 equipment manufacturing companies as samples, constructs a structural equation model, and uses Bootstrap method to empirically test the mechanism of corporate network structure on the innovation performance of equipment manufacturing companies, and verify the mediating role of digital transformation capabilities. Research shows that corporate network structure has a positive impact on innovation performance: both structural holes and network centrality have a significant positive impact on corporate innovation performance, while network scale has a significant positive impact on corporate innovation performance. Among them, the ability of digital transformation information integration has a significant mediating role in the influence of network scale, structural holes and network centrality on enterprise innovation performance; while the mediating role of digital transformation technology application capabilities is not significant, reflecting the realization of technological innovation by equipment manufacturing companies. The “informatization dividend”is gradually transitioning to a highly integrated and distributed intelligent production resource.