作为技术密集型新兴产业,新能源汽车核心技术研发需要企业、高校和研究院所通力合作,进而形成结构复杂的协同创新网络。现有研究对新能源汽车产业各创新主体形成协同创新网络的关注较少,且缺乏对长期动态协同创新行为的系统化讨论。利...作为技术密集型新兴产业,新能源汽车核心技术研发需要企业、高校和研究院所通力合作,进而形成结构复杂的协同创新网络。现有研究对新能源汽车产业各创新主体形成协同创新网络的关注较少,且缺乏对长期动态协同创新行为的系统化讨论。利用指数随机图模型(Exponential Random Graph Model,ERGM)分析2017—2021年中国新能源汽车合作专利协同创新网络,探索影响新能源汽车产业协同创新网络动态演化的主要因素,以及不同创新主体类型(企业、高校和研究院所)对协同创新关系演化的影响。研究发现:(1)在新能源汽车产业协同创新网络中,不同类型创新主体更易形成合作关系;(2)创新能力较强的创新主体更有可能与其他主体形成新合作关系,且企业更愿意与自身创新能力差距不大的其他主体合作;(3)协同创新网络星型结构明显,且表现出明显扩张态势;(4)针对不同类型创新主体的异质性分析结果表明,相比于企业,高校和研究院所更有可能与其他创新主体形成新合作关系。研究结论对于持续推进我国新能源汽车产业技术创新、构建新一代汽车技术体系、助力能源系统转型以及实现碳达峰和碳中和目标具有重要意义。展开更多
To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply rel...To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.展开更多
文摘作为技术密集型新兴产业,新能源汽车核心技术研发需要企业、高校和研究院所通力合作,进而形成结构复杂的协同创新网络。现有研究对新能源汽车产业各创新主体形成协同创新网络的关注较少,且缺乏对长期动态协同创新行为的系统化讨论。利用指数随机图模型(Exponential Random Graph Model,ERGM)分析2017—2021年中国新能源汽车合作专利协同创新网络,探索影响新能源汽车产业协同创新网络动态演化的主要因素,以及不同创新主体类型(企业、高校和研究院所)对协同创新关系演化的影响。研究发现:(1)在新能源汽车产业协同创新网络中,不同类型创新主体更易形成合作关系;(2)创新能力较强的创新主体更有可能与其他主体形成新合作关系,且企业更愿意与自身创新能力差距不大的其他主体合作;(3)协同创新网络星型结构明显,且表现出明显扩张态势;(4)针对不同类型创新主体的异质性分析结果表明,相比于企业,高校和研究院所更有可能与其他创新主体形成新合作关系。研究结论对于持续推进我国新能源汽车产业技术创新、构建新一代汽车技术体系、助力能源系统转型以及实现碳达峰和碳中和目标具有重要意义。
基金funded by the Sichuan Science and Technology Program,Grant Nos.2024NSFSC0515,2024ZHCG0182 and MZGC20230013.
文摘To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.
