Two-Tier Network Embeddedness, Heterogeneous Resource Acquisition, and Firms’ Breakthrough Innovation: The Moderating Effect of Digitalization

Promoting breakthrough innovation is a critical strategy for overcoming technological bottlenecks and addressing “chokepoint” challenges, especially for emerging economies. This paper constructs a two-tier innovation network comprising collaborative R&D and technology transaction subnetworks. Using panel data from Chinese A-share listed companies between 2008 and 2022, we empirically examine the impact of network embeddedness on firm breakthrough innovation in the artificial intelligence industry and explore the moderating effect of enterprise digitalization. The results reveal a U-shaped relationship between embeddedness breadth and breakthrough innovation, and an inverted U-shaped relationship between embeddedness depth and breakthrough innovation. The heterogeneous resource acquisition mediates these nonlinear relationships. As a firm’s digitalization intensity increases, the U-shaped and inverted U-shaped relationships between embeddedness dimensions and breakthrough innovation are significantly amplified. This study deepens our understanding of the mechanisms and boundary conditions by which network embeddedness affects firm innovation and provides new theoretical insights for fostering breakthrough innovation in emerging economies.

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Publication Details

Journal
Systems
Published
2025-11-12
DOI
https://doi.org/10.3390/systems13111012
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Two-Tier Network Embeddedness, Heterogeneous Resource Acquisition, and Firms’ Breakthrough Innovation: The Moderating Effect of Digitalization

Chunwu Chen, Xin Jin, Yinan Yu, Yuanheng Li et al.
Systems
Innovation and Knowledge Management
article

Two-Tier Network Embeddedness, Heterogeneous Resource Acquisition, and Firms’ Breakthrough Innovation: The Moderating Effect of Digitalization

Chunwu Chen, Xin Jin, Yinan Yu, Yuanheng Li, Min Zhang
article en

Abstract

Promoting breakthrough innovation is a critical strategy for overcoming technological bottlenecks and addressing “chokepoint” challenges, especially for emerging economies. This paper constructs a two-tier innovation network comprising collaborative R&D and technology transaction subnetworks. Using panel data from Chinese A-share listed companies between 2008 and 2022, we empirically examine the impact of network embeddedness on firm breakthrough innovation in the artificial intelligence industry and explore the moderating effect of enterprise digitalization. The results reveal a U-shaped relationship between embeddedness breadth and breakthrough innovation, and an inverted U-shaped relationship between embeddedness depth and breakthrough innovation. The heterogeneous resource acquisition mediates these nonlinear relationships. As a firm’s digitalization intensity increases, the U-shaped and inverted U-shaped relationships between embeddedness dimensions and breakthrough innovation are significantly amplified. This study deepens our understanding of the mechanisms and boundary conditions by which network embeddedness affects firm innovation and provides new theoretical insights for fostering breakthrough innovation in emerging economies.

SystemsVol. 13(11)
Central University of Finance and Economics (CN), Shandong Normal University (CN)
Openalex Percentile: Top 51%
Innovation and Knowledge Management
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