智能网联汽车数据风险的研究热点与展望  

Research Hotspots and Prospects of Data Risks in Intelligent Connected Vehicles

作　　者：张桁嘉 尤建新[1] ZHANG Hengjia;YOU Jianxin(School of Economics and Management,Tongji University,Shanghai 200092,China)

机构地区：[1]同济大学经济与管理学院,上海200092

出　　处：《上海管理科学》2025年第1期80-87,共8页Shanghai Management Science

基　　金：上海市软科学研究项目(23692105100)。

摘　　要：系统分析和防控数据风险对于智能网联汽车全面准入和产业健康发展具有重要意义。本文通过CiteSpace文献计量分析软件对智能网联汽车数据风险问题的研究热点及趋势进行剖析,借助Nvivo软件得出数据风险研究热点词汇在现有文献中出现的频率,分析文献研究热点和现实案例焦点的共性和差异,并对未来研究方向提出建议。研究发现当前智能网联汽车数据风险的研究热点包括数据安全、数据流通与共享、个人数据隐私保护、数据跨境流动、数据产权权属与垄断规制。未来,数据风险发生的作用机理、发生概率和危害程度,数据风险挖掘、评价、管控的方法、模型和体系构建等是值得研究的方向。The systematic analysis and control of data risks are of great significance for the comprehensive entry and healthy development of intelligent connected vehicles.This paper analyzes the research hotspots and trends of data risks in intelligent connected vehicles through CiteSpace citation analysis software.It uses Nvivo software to obtain the frequency at which the hotspot keywords of data risk research appear in existing literature,analyzes the commonalities and differences between the research hotspots and the focal points of realworld cases,and offers suggestions for future research directions.The research findings show that the current research hotspots in data risks of intelligent connected vehicles include data security,data circulation and sharing,protection of personal data privacy,data crossborder flow,and regulation of data property rights and monopoly.In the future,the mechanisms of data risk occurrence,the probability of occurrence,and the degree of harm,as well as the methods,models,and systems for data risk mining,evaluation,and control are worth further research.

关 键 词：数据风险 智能网联汽车 CITESPACE 研究热点 

分 类 号：F49[经济管理—产业经济]