人工智能使用,突破性创新和高科技企业的创新表现:非线性调节作用的非发明综合征
Dian Guan1, Zexia Wang2, Wucheng Han3
1Xihua University, Chengdu, China.
Frontiers in artificial intelligence
|February 16, 2026
概括
人工智能 (AI) 的使用通过促进高科技公司的突破性创新来推动创新绩效. 不发明的综合症 (NIHS) 影响了这种关系的非线性,影响了AI.
科学领域:
- * 管理科学和信息系统.
- * 组织行为和创新研究.
背景情况:
- *人工智能 (AI) 与LLMs和量子计算等前沿技术的整合是企业创新表现的关键驱动力.
- *人工智能对创新绩效的影响的精确机制和边界条件,特别是通过突破性创新,需要进行更深入的研究.
- * 基于资源的观点 (RBV) 为了解企业如何利用人工智能获得竞争优势提供了一个框架.
研究的目的:
- *系统地调查人工智能使用对创新绩效的影响.
- * 探讨突破性创新在人工智能与创新绩效关系中的调解作用.
- * 探索非发明综合征 (NIHS) 对这些关系的缓解作用.
主要方法:
- * 量化研究利用355家全球高科技企业的数据.
- *通过Prolific平台收集的数据.
- *使用部分最小平方结构方程建模 (PLS-SEM) 进行的分析.
主要成果:
- *人工智能使用对创新绩效产生积极影响.
- *突破性创新显著调解了人工智能使用和创新绩效之间的关系.
- *NIHS对人工智能使用和创新绩效表现出了显著的反向U形调节效应,对突破性创新和创新绩效表现出了U形效应.
结论:
- *人工智能使用通过促进突破性创新,提高了高科技企业的创新绩效.
- * 该研究阐明了人工智能通过突破性创新对创新绩效的影响的"黑子".
- *NIHS的非线性调节作用凸显了它在人工智能驱动的创新战略中的重要性,并加强了数字时代的RBV.
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