The confluence of project and innovation management: A scientometric analysis of emerging trends and research frontiers

The convergence of project management (PM) and innovation management (IM) has become an increasingly significant research domain, yet a comprehensive scientometric analysis of their intersection remains underexplored. This study bridges this gap by conducting a two-decade scientometric analysis (2003–2023) of 521 articles retrieved from Web of Science (WOS), Scopus, and PubMed. Using bibliometric techniques and CiteSpace visualization, key research trends, collaborative networks, and emerging fields within PM-IM literature are identified. The findings reveal three dominant disciplinary pillars—management, engineering, and business—shaping the PIM domain, while collaboration across institutions and countries remains sparse. Furthermore, foundational research landmarks, particularly the influence of the Stage-Gate system and dynamic capabilities in innovation-driven projects are revealed. The analysis highlights three dominant research streams: (1) managing project uncertainty in high-VUCA environments, (2) innovation-driven project methodologies, and (3) applications of PIM across diverse sectors. Furthermore, emerging research frontiers indicate increasing interest in artificial intelligence (AI), agile product management, and digital transformation in innovation projects. By providing a structured overview of the PM-IM confluence, this study offers valuable insights for researchers, policymakers, and industry professionals aiming to navigate the evolving landscape of project-based innovation. • Advanced bibliometric analysis of growth, themes, and networks in project and innovation management. • Cross-disciplinary links with Healthcare, Neuroscience, and Computer Science reshape management research. • Emerging frontiers: AI and agile integration transforming project and innovation management practices.