ArticleScientific reports2026
Digital intelligence technology adoption and supply chain security of manufacturing firms: empirical evidence from China.
Article in Scientific reports, 2026. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Optimization of sustainable supply chains under uncertainty: integrating Internet of Things and blockchain.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Maintaining supply chain security(SCS) has become a strategic cornerstone of national economic security and industrial competitiveness. Using panel data of Chinese A-share listed manufacturing firms from 2012 to 2024, this study empirically examines the impact of digital intelligence technology adoption on SCS and explores the underlying mechanisms. The results show that digital intelligence technology adoption significantly enhances the SCS of manufacturing firms, with the effect being more pronounced among firms located in eastern China and those with lower supply chain concentration. Mechanism analyses indicate that this effect is primarily achieved by strengthening firms' risk management capability and improving supply chain coordination capability. Moderation analysis further reveals that the positive effect of digital intelligence technology adoption on SCS is stronger in regions with higher levels of digital infrastructure development. Further analysis demonstrates that improvements in SCS of focal(chain-leading) firms generate significant network spillover effects, enhancing the SCS of both upstream suppliers and downstream customers. These findings provide robust empirical evidence to guide firms in deepening digital intelligence integration and optimizing supply chain structures, and to support governments in designing more targeted policies.
Indexed as
Identifiers
What OpenQuestion holds
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.