Business School, Central South University, Changsha 410083, China.
School of Economics and Trade, Hunan University of Technology, Zhuzhou 412007, China.
Comput Intell Neurosci. 2022 Jul 31;2022:8312086. doi: 10.1155/2022/8312086. eCollection 2022.
The crossover innovation springing up in emerging technologies has drawn wide attention from scholars. Innovation network, as an effective way for major innovation-driven entities towards less relevant risks and higher efficiency, can significantly affect the crossover innovation performance. This paper analyzes the evolution law of the innovation network of autonomous driving technology based on the Social Network Analysis (SNA) and by using the data on joint applications for invention patents of such technology during 2006-2020. Furthermore, the structural eigenvalues of the network evolution are calculated for the regression analysis of the relationship between network structure and crossover innovation performance. The empirical results show that network centrality, structural hole, and relationship intensity have a positive effect on crossover innovation performance of emerging technologies, while network clustering has a negative effect. Emerging technology enterprises should constantly improve their technological innovation ability, improve their status and influence in the innovation network, establish cooperation with appropriate innovation partners, further expand their own technical knowledge fields, and obtain innovation resources by optimizing the network structure so as to enhance the crossover innovation performance.
新兴技术中的交叉创新引起了学者们的广泛关注。创新网络作为主要创新驱动实体降低不相关风险和提高效率的有效途径，会显著影响交叉创新绩效。本文基于社会网络分析（SNA），利用 2006-2020 年自动驾驶技术联合发明专利申请数据，分析了自动驾驶技术创新网络的演化规律。在此基础上，计算了网络演化的结构特征值，对网络结构与交叉创新绩效之间的关系进行了回归分析。实证结果表明，网络中心度、结构洞和关系强度对新兴技术的交叉创新绩效有正向影响，而网络集聚对交叉创新绩效有负向影响。新兴技术企业应不断提高技术创新能力，提升在创新网络中的地位和影响力，与合适的创新伙伴建立合作关系，进一步拓展自身的技术知识领域，通过优化网络结构获取创新资源，从而提升交叉创新绩效。
