Evidence map›Paper›PMID 41917380›Full record

ArticleScientific reports2026

Digitalization and upstream supply chain source concentration in high-tech industries.

Yifang Zhang, Haocan Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yifang ZhangSchool of Economics, Yunnan University of Finance and Economics, No. 237 Longquan Road, Wuhua District, Kunming City, 650000, Yunnan Province, China.
Haocan ZhuSchool of Economics, Yunnan University of Finance and Economics, No. 237 Longquan Road, Wuhua District, Kunming City, 650000, Yunnan Province, China. 1938727684@qq.com.

Funding

National Natural Science Foundation of China 72363033
6 · The paper itself

Abstract

Enhancing supply chain resilience and security in high-tech industries is crucial for mitigating risks arising from dependence on critical technologies amid global uncertainties. Using firm- and product-level data from China’s high-tech industries during 2010–2022, this study investigates how industrial digitalization affects upstream supply chain source concentration (USC) at the industry level through a two-way fixed effects model. The results reveal a U-shaped relationship between industrial digitalization and USC, mediated by human capital accumulation and risk-taking capacity. The effect is stronger in labor-intensive and highly concentrated industries, reflecting long-term strategic adjustments rather than short-term fluctuations. The findings call for a balanced digitalization strategy that manages its dual effects, reinforces human capital and risk management capacity, and relies on coherent institutional frameworks to sustain transformation and strengthen supply chain resilience.

Indexed as

High-tech industriesIndustrial digitalizationSupply chain resilienceUpstream supply chain source concentration

Identifiers

PMID41917380
PMCPMC13181094

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.