ArticleScientific reports2025
Research on the impact of artificial intelligence on the the manufacturing industry chain resilience.
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 1 paper.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- The mechanism and impact of digital transformation on supply chain resilience in the manufacturing industry.Scientific reports · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Strengthening the robustness and the stability of industrial chains is not only a necessary pathway to achieving the strategic goals of China's new development paradigm but also a fundamental pillar in building a modern economic system with Chinese characteristics. Drawing on panel data from 30 Chinese provinces spanning 2011 to 2022, this study constructs index systems for artificial intelligence (AI) and manufacturing industry chain resilience (Mir) using the entropy weight method. It systematically examines the effects of AI on Mir and its underlying mechanisms. The key findings are as follows: AI significantly enhances Mir, a result confirmed through multiple robustness tests; Mechanism analysis reveals that AI improves Mir primarily through technological innovation effects and digital empowerment effects; Threshold effects indicate that AI's impact on Mir exhibits nonlinear characteristics under varying levels of AI development and digital infrastructure; Heterogeneity analysis shows a pronounced structural divergence in AI's resilience-enhancing effects, with stronger technological empowerment observed in high-resilience cluster, dimensions of adaptive recovery and innovative reconfiguration, and export-oriented industry chains. This study offers a novel theoretical perspective and methodological framework for assessing Mir within the new development paradigm.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.