Jiaxiang Bai
Bridging Structural Holes in Project Management: Collaborative Intelligence as a Bridge for Knowledge Transfer
Bai’s doctoral research advances construction project management by exploring how collaborative intelligence (human–AI collaboration) can address persistent knowledge fragmentation in project environments within the context of Industry 5.0. Construction projects are inherently multidisciplinary and knowledge-intensive, yet critical knowledge is often dispersed across multiple actors and organizational boundaries, limiting timely coordination and learning. Using structural hole theory, Bai examines how gaps in project knowledge networks disrupt knowledge flow and shared understanding.
The research investigates how collaborative intelligence can function as a bridging mechanism that reconnects dispersed knowledge across organizational and disciplinary boundaries. It aims to clarify how such bridging improves knowledge transfer efficiency and translates into stronger project management performance, offering theoretically grounded and practice-relevant insights for organizations seeking more effective human–AI collaboration in complex projects.
Supervisors
Dr Chitrakala Muthuveerappan & Dr Karsten Lundqvist
Qualifications
- Master of Construction Project Management, The University of Missouri-Kansas city, Kansas city, Missouri, The United States
- Bachelor of Traffic Engineering, Chang'an University, Xi'an, Shaanxi, China