Evidence map›Paper›PMID 40771245›Full record

ArticleFrontiers in public health2025

The impact of artificial intelligence on sustainable development performance of public healthcare supply chain-an empirical study based on listed Chinese pharmaceutical companies.

Qianlan Chen, Ping Long, Ruihai Dong, Chaoling Li, Siyi Mao

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

5 authors.

Qianlan Chen *School of Economics and Management, Guangxi Normal University, Guilin, China.
Ping Long *School of Economics and Management, Guangxi Normal University, Guilin, China.
Ruihai DongChina Petroleum and Chemical Corporation, Shandong Petroleum Branch, Jinan, China.
Chaoling LiSchool of Economics and Management, Guangxi Normal University, Guilin, China.
Siyi MaoSchool of Economics and Management, Guangxi Normal University, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous deepening of the digital transformation of the public healthcare supply chain, as the next step of digitalization, intelligent transformation has received much attention, especially how artificial intelligence can improve the sustainable development performance of the supply chain needs to be studied. In order to fill this gap, this paper establishes a research model of artificial intelligence, green supply chain management practice, industry competition and sustainable development performance of public healthcare supply chain. Taking Chinese listed pharmaceutical enterprises as research objects, this paper conducts empirical analysis on 301 valid questionnaires through questionnaire survey and structural equation model. The relationship between artificial intelligence, green supply chain management practice, industry competition and sustainable development performance of public healthcare supply chain is studied. In this paper, green supply chain management practice is regarded as the intermediary variable, industry competition is regarded as the moderating variable, and a research model with both mediation and regulation is constructed. The empirical results show that: (1) Artificial intelligence has a significant positive impact on the sustainable development performance of public healthcare supply chain; (2) Artificial intelligence has a positive impact on green supply chain management practice; (3) Green supply chain management practice has a positive impact on the sustainable development performance of public healthcare supply chain; (4) Green supply chain management practices play an intermediary role in the effect of artificial intelligence on the sustainable development performance of public healthcare supply chain, that is, artificial intelligence improves the sustainable development performance of supply chain through green supply chain management practices; (5) Industry competition actively regulates the impact of artificial intelligence on the sustainable development performance of public healthcare supply chain. This study enriches the literature on AI and public healthcare supply chains, while providing new practice guidelines for sustainable development and modern management of public healthcare supply chains.

Indexed as

Artificial IntelligenceDrug IndustryPublic HealthSustainable DevelopmentChinaEmpirical ResearchHumansSurveys and Questionnairesartificial intelligencegreen supply chain management practiceindustry competitionpublic healthcare supply chainsustainable development performance

Identifiers

PMID40771245
PMCPMC12325211

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.