The Effect of AIOps on R&D Efficiency in Chinese Technology Enterprises: The Moderating Role of Human-AI Integration

This study investigates the impact of Artificial Intelligence for IT Operations (AIOps) implementation on research and development (R&D) efficiency in Chinese technology enterprises. Using a structured survey approach, we examine how AIOps applications influence key performance metrics while considering Human-AI integration as a moderating variable. Data collected from 287 technology enterprises across China were analyzed using structural equation modeling. The results indicate that AIOps implementation has a significant positive effect on R&D efficiency (β = 0.423, p < 0.001). Moreover, the moderating effect of Human-AI integration strengthens this relationship (β = 0.218, p < 0.01), particularly in environments with high technical complexity. These findings contribute to the emerging literature on AI-driven operational transformations in technology enterprises and provide practical implications for optimizing R&D processes through strategic AIOps implementation and effective Human-AI collaborative frameworks.