Can computing power infrastructure mitigate supply chain disruption risk for corporates? Evidence from China's intelligent computing centers

Purpose In the digital economy era, digital infrastructure has been a vital tool for mitigating supply chain disruption risk (SCDR). Computing power infrastructure (CPI), as a corporate meta-resource, integrates diverse resources to empower supply chains. Grounded in the institution, industry and resource dimensions of the strategic tripod theory, this paper examines whether and how CPI mitigates SCDR. Design/methodology/approach This study manually collects CPI data from China's Ministry of Industry and Information Technology (MIIT), employs text analysis to measure SCDR and uses a two-way fixed-effects model to examine the relationship between CPI and SCDR. Findings CPI significantly mitigates SCDR, and this conclusion remains robust after addressing endogeneity issues. Resource-based mechanism tests indicate that CPI mitigates SCDR by optimizing resource allocation across four aspects: financial flexibility (capital), skilled labor structure (talent), data assets (data) and artificial intelligence (technology). Institution-based heterogeneity tests indicate that this effect is more pronounced in non-hub cities and non-allied corporates, supporting a substitutional relationship between the institution and resource. Industry-based heterogeneity tests indicate that this effect is more pronounced in technology-intensive and competitive industries, supporting a complementary relationship between the industry and resource. Originality/value This paper provides a systematic reference for using CPI to mitigate SCDR in emerging economies.

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Publication Details

Journal
Business Process Management Journal
Published
2026-04-07
DOI
https://doi.org/10.1108/bpmj-11-2025-1839
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
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article

Can computing power infrastructure mitigate supply chain disruption risk for corporates? Evidence from China's intelligent computing centers

Jing Zhang
Business Process Management Journal
Supply Chain Resilience and Risk Management
article

Can computing power infrastructure mitigate supply chain disruption risk for corporates? Evidence from China's intelligent computing centers

Jing Zhang
article en

Abstract

Purpose In the digital economy era, digital infrastructure has been a vital tool for mitigating supply chain disruption risk (SCDR). Computing power infrastructure (CPI), as a corporate meta-resource, integrates diverse resources to empower supply chains. Grounded in the institution, industry and resource dimensions of the strategic tripod theory, this paper examines whether and how CPI mitigates SCDR. Design/methodology/approach This study manually collects CPI data from China's Ministry of Industry and Information Technology (MIIT), employs text analysis to measure SCDR and uses a two-way fixed-effects model to examine the relationship between CPI and SCDR. Findings CPI significantly mitigates SCDR, and this conclusion remains robust after addressing endogeneity issues. Resource-based mechanism tests indicate that CPI mitigates SCDR by optimizing resource allocation across four aspects: financial flexibility (capital), skilled labor structure (talent), data assets (data) and artificial intelligence (technology). Institution-based heterogeneity tests indicate that this effect is more pronounced in non-hub cities and non-allied corporates, supporting a substitutional relationship between the institution and resource. Industry-based heterogeneity tests indicate that this effect is more pronounced in technology-intensive and competitive industries, supporting a complementary relationship between the industry and resource. Originality/value This paper provides a systematic reference for using CPI to mitigate SCDR in emerging economies.

Business Process Management Journal
Henan University of Engineering (CN), Zhengzhou Business University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Supply Chain Resilience and Risk Management
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