Jiaxiang Bai
Improving project management with artificial intelligence and knowledge management
The use of artificial intelligence (AI) and knowledge management (KM) in project management is increasingly common, significantly improving efficiency and enhancing corporate competitiveness. However, research on AI and KM integration tailored to the construction industry's specific needs is lacking. Moreover, empirical research evaluating the real effects of AI applications in construction project management is limited in both depth and breadth. The absence of interdisciplinary research hinders the development of a comprehensive theoretical framework and practical guidance.Current studies often emphasize theoretical exploration over practical application, hindering the effective implementation of research findings in real projects. Jiaxiang’s PhD research explores the quantitative value of knowledge management (KM) tools in the construction industry, focusing on how AI can support KM practices. The research examines current KM practices, AI system implementations, and their roles in enhancing KM processes. This research provides empirical evidence of the benefits of KM tools, particularly in managing project knowledge within the construction industry. It underscores the importance of integrating KM with project management and illustrates how AI can aid through skills retraining, infrastructure upgrades, and process improvements. The study emphasizes the need for a symbiotic partnership between AI systems and knowledge workers to fully realize AI's potential in KM. This interdisciplinary research advance artificial intelligence and knowledge management, driving innovation and improvements in project management practices. They offer vital theoretical support and practical guidance for construction industry reform, promoting technological innovation, intelligent transformation, and sustainable development within the construction industry.
Supervisors
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