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管理科学与工程

人工智能技术对无人机企业供应链韧性的影响

  • 祁宁 ,
  • 祁盈超 ,
  • 荆浩
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  • 沈阳航空航天大学 经济与管理学院,沈阳 110136

祁宁(1981—),女,辽宁沈阳人,副教授,博士,主要研究方向为军民融合战略与创新、供应链管理、复杂网络理论,E-mail:

收稿日期: 2024-10-16

  修回日期: 2024-11-08

  录用日期: 2024-11-10

  网络出版日期: 2025-12-04

基金资助

辽宁省科学技术计划项目(2025JH4)

辽宁省科学技术计划项目(10100039)

辽宁省社会科学规划项目(L20AGL013)

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

摘要

为提升无人机企业供应链韧性及应对风险的能力,基于2016—2022年A股上市无人机企业数据,实证检验人工智能技术(artificial intelligence,AI)对供应链韧性的影响及机制。研究发现,增强人工智能技术能够显著提升供应链韧性,该结论经一系列稳健性检验后依然成立,且对市场占有率较低的中小型无人机企业效果更为明显。机制分析表明,人工智能主要通过增强供应链集中度和降低内部管理成本两条路径发挥作用,通过优化资源配置、提高运营效率及减少管理开支,强化企业应对市场波动和外部冲击的能力。该研究为政府和企业利用人工智能优化供应链管理提供了策略建议,也为提升企业抗风险能力提供了理论支持与实践指导。

本文引用格式

祁宁 , 祁盈超 , 荆浩 . 人工智能技术对无人机企业供应链韧性的影响[J]. 沈阳航空航天大学学报, 2025 , 42(5) : 90 -96 . DOI: 10.3969/j.issn.2095-1248.2025.05.012

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.

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