A systematic review of generative AI usage for IT project management
For researchers and practitioners in IT project management, this review provides a comprehensive overview and identifies future research directions, but the findings are incremental as the field is still exploratory.
This systematic review synthesizes current knowledge on generative AI in IT project management, finding that OpenAI's GPT dominates but research remains exploratory, primarily relying on prompt engineering. It identifies three promising research directions: process group-specific AI agents, project role-based AI agents, and hybrid collaborative networks.
This paper aims to synthesize current knowledge on generative AI in IT project management using the PRISMA methodology to provide researchers with a comprehensive perspective on techniques, applications, adoption trends, limitations, and integration across project management tools and process groups. The analysis reveals a clear dominance of OpenAI's GPT in the included studies but relying primarily on prompt engineering, suggesting that research in this area remains at an exploratory stage. Finally, it identifies and discusses three promising research directions for AI-enabled project management, including process group-specific AI agents, project role-based AI agents, and hybrid collaborative networks that enable human-guided orchestration.