情报杂志2026，Vol.45Issue(5)：135-142,8.DOI:10.3969/j.issn.1002-1965.2026.05.016
新能源汽车供应链风险识别与预警研究
Research on Risk Identification and Early Warning of New Energy Vehicle Supply Chain
摘要
Abstract
[Purpose]To identify the risks faced by the supply chain of new energy vehicles,explore the propagation and evolution laws of different types of risks in the coupled network of the physical layer and the information layer,and build a risk early warning mechanism ac-cordingly,so as to help enterprises optimize supply chain management and enhance their risk coping ability.[Method]By analyzing the development reports,news reports and annual report data of the new energy automobile industry,the key risk themes were identified.Tak-ing enterprise A as the research object,this paper deeply analyzes the spread rate and influence scope of different types of risks in the two-tier network,and based on the dynamic characteristics of the spread,refines the key early warning indicators,and carries out risk early warning with the most representative case of enterprise A.Using LDA theme model,six core risk themes and their corresponding keywords were successfully extracted:technical security,geopolitics,supply interruption,policy compliance,production operation and infrastruc-ture.Based on UAU-SIR two-layer network,the propagation characteristics of different types of risks are clearly revealed through dynam-ic simulation.[Result/Conclusion]This paper puts forward a multi-level early warning index system for the integration of the physical layer and the information layer in the supply chain of new energy vehicles,and verifies its effectiveness,which provides theoretical basis and decision support for enterprises to identify risks at an early stage and accurately intervene.关键词
新能源汽车/供应链网络/供应链风险/UAU-SIR双层网络模型/风险识别/风险预警Key words
new energy vehicles/supply chain networks/supply chain risk/UAU-SIR two-layer network model/risk identification/risk warning分类
管理科学引用本文复制引用
巩前胜,符佳静,尹诗晨..新能源汽车供应链风险识别与预警研究[J].情报杂志,2026,45(5):135-142,8.基金项目
国家自然科学基金青年项目"数字贸易影响中国文化产业全球价值链升级的理论机制和实现路径研究"(编号:72404225) （编号:72404225）
西安市社会科学基金规划项目"产业链协同视角下西安市新能源汽车产业高质量发展路径研究"(编号:23JX128)研究成果. （编号:23JX128）
