🤖 AI Summary
This study investigates how team collaboration stability influences project success in megaprojects undertaken by electric vehicle (EV) manufacturing firms, and examines the moderating role of human–machine collaborative integration. Drawing on empirical data from 187 EV project teams in China, we employ structural equation modeling (SEM) to test our hypotheses. Results indicate that team collaboration stability exerts a significant positive effect on project success; moreover, human–machine collaborative integration strengthens this relationship—higher levels of integration amplify the positive impact of stability on success. To our knowledge, this is the first empirical study to identify and validate the moderating mechanism of human–machine collaborative integration between team processes and project performance. By bridging theoretical gaps between traditional team dynamics research and AI-augmented project management scholarship, our findings offer both theoretical grounding and practical guidance for organizational design and technology integration in intelligent construction contexts involving highly complex engineering projects.
📝 Abstract
This study investigates how team collaboration stability influences the success of mega construction projects in electric vehicle manufacturing enterprises, with human-AI integration as a moderating variable. Using structural equation modeling (SEM) with data from 187 project teams across China's electric vehicle sector, results indicate that team collaboration stability significantly enhances project success. The moderating effect of human-AI integration strengthens this relationship, suggesting that enterprises implementing advanced human-AI collaborative systems achieve superior project outcomes when team stability is maintained. These findings contribute to both team collaboration theory and provide practical implications for mega project management in the rapidly evolving electric vehicle industry.