Chen Qianlan, Long Ping, Dong Ruihai, Li Chaoling, Mao Siyi
School of Economics and Management, Guangxi Normal University, Guilin, China.
China Petroleum and Chemical Corporation, Shandong Petroleum Branch, Jinan, China.
Front Public Health. 2025 Jul 23;13:1549283. doi: 10.3389/fpubh.2025.1549283. eCollection 2025.
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.
随着公共医疗供应链数字化转型的不断深入,作为数字化的下一步,智能转型备受关注,尤其是人工智能如何提升供应链的可持续发展绩效有待研究。为填补这一空白,本文构建了公共医疗供应链人工智能、绿色供应链管理实践、行业竞争与可持续发展绩效的研究模型。以中国上市制药企业为研究对象,通过问卷调查和结构方程模型对301份有效问卷进行实证分析。研究公共医疗供应链人工智能、绿色供应链管理实践、行业竞争与可持续发展绩效之间的关系。本文将绿色供应链管理实践视为中介变量,行业竞争视为调节变量,构建了一个兼具中介和调节作用的研究模型。实证结果表明:(1)人工智能对公共医疗供应链的可持续发展绩效有显著正向影响;(2)人工智能对绿色供应链管理实践有正向影响;(3)绿色供应链管理实践对公共医疗供应链的可持续发展绩效有正向影响;(4)绿色供应链管理实践在人工智能对公共医疗供应链可持续发展绩效的影响中起中介作用,即人工智能通过绿色供应链管理实践提升供应链的可持续发展绩效;(5)行业竞争积极调节人工智能对公共医疗供应链可持续发展绩效的影响。本研究丰富了人工智能与公共医疗供应链的文献,同时为公共医疗供应链的可持续发展和现代管理提供了新的实践指导。