战略规划
公司治理
过程管理
过程(计算)
利用
战略管理
战略财务管理
知识管理
业务
战略控制
战略式采购
市场营销与人工智能
大数据
战略情报
战略联盟
自动化
技术战略
战略思维
服务(商务)
决策支持系统
技术管理
竞争情报
创新管理
计算机科学
信息技术
选择(遗传算法)
标识
DOI:10.25236/ajbm.2025.071004
摘要
This paper systematically studies the application of artificial intelligence technology in corporate strategic innovation management and its impact mechanism. The research shows that artificial intelligence significantly improves corporate innovation performance by reshaping the entire process of strategic analysis, selection, and implementation. In the strategic analysis phase, based on big data analysis and intelligent monitoring technology, enterprises can accurately identify market trends and consumer demand; in the strategic selection phase, predictive models and decision support systems enhance the scientific nature of strategic decisions; in the strategic implementation phase, process automation and adaptive adjustment mechanisms ensure the efficient execution of strategies. The study also found that artificial intelligence promotes the improvement of innovation performance through two paths: enhancing corporate self-innovation capabilities and promoting the upgrading of R&D skills, with the effects being particularly significant in technology-intensive and low-pollution industries. At the same time, this study identified five implementation paths for artificial intelligence to enable innovation performance, including differentiated modes such as technology synergy and service ecosystem. Despite challenges such as data security and algorithm transparency, enterprises can fully exploit the strategic value of artificial intelligence by establishing a sound data governance system and ethical norms. This study provides theoretical basis and practical guidance for enterprises to promote digital transformation.
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