Computing Power Deployment and Enterprise Innovation Resilience: A Dynamic Capability Perspective

In the digital era, computing power deployment has emerged as a strategic resource for building enterprise innovation resilience; however, the mechanisms through which it exerts such effects remain unclear. Drawing on dynamic capability theory, this study examines how computing power deployment influences enterprise innovation resilience using a sample of Chinese A-share listed firms from 2012 to 2024. The results indicate that computing power deployment significantly enhances enterprise innovation resilience, and this finding holds after a series of robustness checks. Mechanism analysis shows that computing power deployment exerts its effects through two pathways: technology diversification, which strengthens knowledge recombination and trajectory switching capabilities, and organizational inertia, which ensures innovation process continuity and frees cognitive resources for higher-order reconfiguration. Heterogeneity analysis reveals that the effect is stronger among state-owned enterprises, large firms, firms in strategic emerging industries, and firms with high patient capital, reflecting four boundary conditions: resource foundation, organizational carrier, environmental fit, and temporal support. This study extends the antecedent research on innovation resilience by introducing the computing power perspective, reveals the transformation mechanisms and boundary conditions of computing power deployment, and provides implications for innovation resilience building and computing power resource allocation in the digital economy.

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Publication Details

Journal
Systems
Published
2026-11-05
DOI
https://doi.org/10.3390/systems14111410
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Computing Power Deployment and Enterprise Innovation Resilience: A Dynamic Capability Perspective

Sheng Mai, Qian Chen, Jingzhao Zhu, Lingling Li
Systems
Innovation and Knowledge Management
article

Computing Power Deployment and Enterprise Innovation Resilience: A Dynamic Capability Perspective

Sheng Mai, Qian Chen, Jingzhao Zhu, Lingling Li
article en

Abstract

In the digital era, computing power deployment has emerged as a strategic resource for building enterprise innovation resilience; however, the mechanisms through which it exerts such effects remain unclear. Drawing on dynamic capability theory, this study examines how computing power deployment influences enterprise innovation resilience using a sample of Chinese A-share listed firms from 2012 to 2024. The results indicate that computing power deployment significantly enhances enterprise innovation resilience, and this finding holds after a series of robustness checks. Mechanism analysis shows that computing power deployment exerts its effects through two pathways: technology diversification, which strengthens knowledge recombination and trajectory switching capabilities, and organizational inertia, which ensures innovation process continuity and frees cognitive resources for higher-order reconfiguration. Heterogeneity analysis reveals that the effect is stronger among state-owned enterprises, large firms, firms in strategic emerging industries, and firms with high patient capital, reflecting four boundary conditions: resource foundation, organizational carrier, environmental fit, and temporal support. This study extends the antecedent research on innovation resilience by introducing the computing power perspective, reveals the transformation mechanisms and boundary conditions of computing power deployment, and provides implications for innovation resilience building and computing power resource allocation in the digital economy.

SystemsVol. 14(11)
Shihezi University (CN)
Openalex Percentile: Top 12%
Innovation and Knowledge Management
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