Abstract
Project management information systems (PMIS) support successful delivery of projects, playing an important role in enabling organisations to achieve their strategic goals. With advancements in artificial intelligence (AI), there is growing interest in leveraging AI solutions in PMIS. This is an important opportunity worthy of investigation given a lack of empirical research on how AI can be integrated and used in a PMIS to improve project outcomes and success. This systematic literature review (SLR) examines existing research on AI and project management, with a focus on PMIS. Findings show that current literature on AI, project management, and PMIS is either niche or high level and speculative. Moreover, the literature is lacking application of comprehensive reference models (PMBOK Process framework) to guide holistic integration and use of AI in PMIS. This SLR proposes a future research agenda to guide development of empirically grounded, reference model-based approaches for applying AI in PMIS.
Recommended Citation
Darby, Ryan; Lane, Michael; and Lokuge, Sachithra, "Artificial Intelligence in Project Management Information
Systems: A Systematic Literature Review and Future Research
Agenda" (2025). ACIS 2025 Proceedings. 131.
https://aisel.aisnet.org/acis2025/131