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Management Science and Engineering

The impact of artificial intelligence technology on the resilience of drone enterprise supply chain

  • Ning QI ,
  • Yingchao QI ,
  • Hao JING
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  • College of Economics and Management,Shenyang Aerospace University,Shenyang 110136,China

Received date: 2024-10-16

  Revised date: 2024-11-08

  Accepted date: 2024-11-10

  Online published: 2025-12-04

Abstract

To enhance the resilience of drone enterprise supply chains and their ability to respond to risks, the impact and mechanism of artificial intelligence technology on supply chain resilience were empirically examined which based on data from A-share listed drone companies from 2016 to approximately 2022. It was found that strengthening artificial intelligence technology could significantly improve supply chain resilience. This conclusion remained valid after a series of robustness tests and was particularly pronounced for small and medium-sized drone companies with lower market share. Mechanism analysis indicated that artificial intelligence mainly operates through two pathways: enhancing supply chain concentration and reducing internal management costs. By optimizing resource allocation, improving operational efficiency, and reducing management expenses, it strengthened the enterprise's ability to cope with market fluctuations and external shocks. This study provided policy and strategic recommendations for governments and companied to use artificial intelligence to optimize supply chain management, as well as the oretical support and practical guidance for enhancing enterprise risk resilience.

Cite this article

Ning QI , Yingchao QI , Hao JING . The impact of artificial intelligence technology on the resilience of drone enterprise supply chain[J]. Journal of Shenyang Aerospace University, 2025 , 42(5) : 90 -96 . DOI: 10.3969/j.issn.2095-1248.2025.05.012

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[1]
肖兴志,李少林.大变局下的产业链韧性:生成逻辑、实践关切与政策取向[J].改革2022(11):1-14.

[2]
Cohen M Cui S L Doetsch S,et al.Bespoke supply-chain resilience:the gap between theory and practice[J].Journal of Operations Management202268(5):515-531.

[3]
欧阳日辉,刘昱宏.生成式人工智能(AIGC)融入制造业的理论逻辑与实现路径[J].新疆师范大学学报(哲学社会科学版)202546(3):1-14.

[4]
于辉,宫雨,李勇.供应链合作管理的新途径:智慧契约设计[J].中国管理科学202331(10):20-29.

[5]
Tian S Wu L Pia Ciano M,et al.Enhancing innovativeness and performance of the manufacturing supply chain through datafication:The role of resi-lience[J].Computers & Industrial Engineering2024188:109841.

[6]
Gupta S Modgil S Choi T M,et al.Influences of artificial intelligence and blockchain technology on financial resilience of supply chains[J].International Journal of Production Economics2023261:108868.

[7]
肖兴志,解维敏.人工智能与企业韧性:基于工业机器人应用的经验证据[J].系统工程理论与实践202444(8):2456-2474.

[8]
Sadeghi R K Ojha D Kaur P,et al.Explainable artificial intelligence and agile decision-making in supply chain cyber resilience[J].Decision Support Systems2024180:114194.

[9]
宋华.人工智能数智供应链的理论探索与展望[J].中国流通经济202438(1):44-54.

[10]
尹洪岩,宋磊.人工智能技术在供应链物流领域的实践研究[J].中国储运2024(3):184.

[11]
钟文佳.基于人工智能的供应链优化采购系统研究[J].中国物流与采购2024(3):89-90.

[12]
杜亚光,何瑛,金振,等.人工智能与企业客户稳定性:基于中国工业机器人应用的证据[J].经济问题2024(2):48-56.

[13]
郭景先,鲁营.供应链金融、供应链集中度与企业创新非效率投资[J].华东经济管理202337(5):119-128.

[14]
方福前,杨宏,陈光兴.数字经济对企业供应链韧性的影响及其机制研究:基于企业供应商数目变化的视角[J].经济纵横2024(4):62-72.

[15]
张远,李焕杰.企业智能化转型对内部劳动力结构转换的影响研究[J].中国人力资源开发202239(1):98-118.

[16]
苗翠芬.人工智能与制造业服务化[J].经济与管理研究202344(7):22-39.

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