ArticleScientific reports2025
Research on supply chain resilience mechanism of AI-Enabled manufacturing enterprises -based on organizational change perspective.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- The impact of china's artificial intelligence pilot policies on enterprise supply chain resilience.Scientific reports · 2026Article
- Investigating the impact of dual-chain coupling on new quality productive forces in leading traditional Chinese medicine enterprises.Frontiers in medicine · 2026Article
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Authors and funding
5 authors.
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Abstract
Artificial intelligence (AI) is fundamentally reshaping supply chain operation modes and innovation paths, which has a significant impact on the development of supply chain resilience. This study utilizes panel data of Chinese A-share listed manufacturing companies from 2013 to 2022 to measure the application of AI through textual analysis and construct firm-level supply chain resilience indicators using factor analysis. The main findings suggest that AI greatly enhances supply chain resilience in the Chinese manufacturing industry, and this result holds in a series of robustness tests. Second, AI improves supply chain resilience through changes in organizational structure and improvements in internal control systems. Further, the impact of AI on supply chain resilience varies by industry characteristics and firms' position in the supply chain. Finally, the technological maturity and depth of AI application within a firm also affects supply chain resilience differently. This study contributes to the research on the application of AI in supply chain management and the theory of supply chain resilience, as well as provides a theoretical foundation and practical insights for manufacturing firms to enhance their own resilience in the face of increasing global uncertainty and complexity.
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