The performance implications of R&D collaborations on artificial intelligence

Xin Ming, Qiang Wang and Yan Liu

Technovation, 2025, vol. 145, issue C

Abstract: 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.

Keywords: Artificial intelligence; R&D collaboration; Event study; Signaling theory (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166497225001038
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:145:y:2025:i:c:s0166497225001038

DOI: 10.1016/j.technovation.2025.103271

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().