人工智能研发合作对绩效的影响

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation Pub Date : 2025-05-30 DOI:10.1016/j.technovation.2025.103271

Xin Ming, Qiang Wang, Yan Liu

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引用次数: 0

摘要

随着公司在人工智能（AI）领域合作研发（R&；D）的日益普及，这些合作对绩效的影响仍未得到充分探索。本研究考察了人工智能相关研发合作的财务影响，重点关注人工智能类型、与顶级技术公司的合作伙伴关系以及数字化能力如何调节其对公司价值的影响。分析2016年至2023年间中国公司的公告，我们发现人工智能相关研发合作与公司价值之间存在正相关关系，这种影响对于语言/文本理解和顶级技术合作伙伴的合作尤其强烈。然而，随着企业数字化能力的提高，这种积极影响逐渐减弱。本研究提供了与人工智能相关的研发合作的好处的经验证据，并为企业如何最大化这种伙伴关系的价值提供了见解。

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The performance implications of R&D collaborations on artificial intelligence

With the increasing prevalence of cooperative research and development (R&D) in artificial intelligence (AI) among companies, the performance implications of these collaborations remain underexplored. This study examines the financial impact of AI-related R&D collaborations, focusing on how AI type, partnerships with top-tier technology companies, and digitalization capabilities moderate their effects on firm value. Analyzing announcements from Chinese firms between 2016 and 2023, we find a positive association between AI-related R&D collaborations and firm value, with this effect being particularly strong for collaborations on language/text understanding and with top-tier technology partners. However, this positive effect diminishes as firms’ digitalization capabilities increase. This research provides empirical evidence of the benefits of AI-related R&D collaborations and offers insights into how firms can maximize the value of such partnerships.

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来源期刊

Technovation 管理科学-工程：工业

CiteScore

15.10

自引率

11.20%

发文量

208

审稿时长

91 days

期刊介绍： The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.