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HYPOTHESIS AND THEORY article

Front. Public Health

Sec. Health Economics

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1549283

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

Provisionally accepted
Qianlan Chen Qianlan Chen 1Ping Long Ping Long 1Ruihai Dong Ruihai Dong 2*Chaoling Li Chaoling Li 1,3*Siyi Mao Siyi Mao 1
  • 1 Guangxi Normal University, Guilin, China
  • 2 China Petroleum & Chemical Corporation, Shandong, China
  • 3 Key Laboratory of Digital Empowerment Economic Development, Guilin, China

The final, formatted version of the article will be published soon.

    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.

    Keywords: artificial intelligence, Public healthcare supply chain, Sustainable development performance, Green supply chain management practice, Industry competition

    Received: 20 Dec 2024; Accepted: 24 Feb 2025.

    Copyright: © 2025 Chen, Long, Dong, Li and Mao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Ruihai Dong, China Petroleum & Chemical Corporation, Shandong, China
    Chaoling Li, Guangxi Normal University, Guilin, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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