Хураангуй:
The rapid development of Generative Artificial Intelligence (GenAI) is transforming
university research activities and creating new opportunities for research innovation. This
study investigates the relationship between GenAI Adoption and Research Innovation
Performance among university researchers in China and Mongolia, with Knowledge
Integration Capability as a mediating variable. Based on the Resource-Based View and
Knowledge-Based View, a mediation model was developed and empirically tested.
A quantitative survey was conducted, and data from 304 university researchers in China
and Mongolia were analyzed using regression analysis, structural equation modeling, and
Bootstrap mediation testing.
The results indicate that GenAI Adoption positively influences Research Innovation
Performance and significantly enhances Knowledge Integration Capability. Knowledge
Integration Capability is also positively associated with Research Innovation Performance.
Mediation analysis shows that Knowledge Integration Capability plays a significant mediating
role, accounting for most of the total effect. Cross-national comparisons reveal different
mediation patterns between the Chinese and Mongolian samples, while researchers in
Mongolia report higher levels of Research Innovation Performance.
The findings suggest that the benefits of GenAI are realized primarily through
researchers’ ability to acquire, integrate, evaluate, and apply knowledge. This study
contributes to the understanding of GenAI adoption in higher education and provides practical
implications for researcher capability development, AI training, and responsible AI
governance.
