Research on the innovation performance of NEV enterprises driven by AI technology: an empirical study based on China's NEV industry

doi:10.1108/K-11-2024-3026

	Research on the innovation performance of NEV enterprises driven by AI technology: an empirical study based on China's NEV industry
	Zhu, Dehua
	2025-03-25
在线发表日期	2025-03
发表期刊	KYBERNETES
摘要	PurposeThis paper aims to empirically test the impact and mechanisms of artificial intelligence (AI) technology on the innovation performance of new energy vehicle (NEV) enterprises, using data from A-share listed companies in China's NEV industry. It also explores the role of dynamic capabilities, particularly innovation, absorptive and adaptive capacities, in mediating this relationship.Design/methodology/approachThe study establishes indicators to measure the drive of AI technology and employs empirical analysis to examine its effect on the innovation performance of NEV enterprises. The research employs heterogeneity tests to assess the differentiated impact of macro-environmental factors and micro-enterprise characteristics on the innovation performance of NEV companies.FindingsThe study finds that AI technology significantly enhances the innovation performance of NEV enterprises. Dynamic capabilities, particularly innovation capability, play a crucial mediating role in this relationship. Among the dynamic capabilities, innovation capability has the most significant mediating effect, followed by absorptive capacity, while adaptive capacity has the least effect. Heterogeneity tests reveal that macro-environmental factors (e.g. market elements) and micro-enterprise characteristics (e.g. R&D backgrounds of directors, senior management and property rights attributes) differentially impact the innovation performance of NEV enterprises driven by AI.Originality/valueThis paper provides both theoretical explanations and empirical evidence on how AI technology enhances the innovation performance of NEV enterprises. It offers valuable insights for policymakers on promoting intelligent transformation and achieving high-quality sustainable development within the NEV industry.
关键词	Innovation performance Artificial intelligence technology New energy vehicle enterprises Dynamic capability
DOI	10.1108/K-11-2024-3026
收录类别	SCIE ; EI
ISSN	0368-492X
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics
WOS记录号	WOS:001449349200001
出版者	EMERALD GROUP PUBLISHING LTD
EI入藏号	20251218100412
原始文献类型	Article ; Early Access
EISSN	1758-7883
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/38939
专题	商务传媒学院
通讯作者	Zhu, Dehua
作者单位	Lanzhou Univ Finance & Econ, Fac Business Commun, Lanzhou, Peoples R China
第一作者单位	兰州财经大学
通讯作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Zhu, Dehua. Research on the innovation performance of NEV enterprises driven by AI technology: an empirical study based on China's NEV industry[J]. KYBERNETES,2025.
APA	Zhu, Dehua.(2025).Research on the innovation performance of NEV enterprises driven by AI technology: an empirical study based on China's NEV industry.KYBERNETES.
MLA	Zhu, Dehua."Research on the innovation performance of NEV enterprises driven by AI technology: an empirical study based on China's NEV industry".KYBERNETES (2025).