AI-Enabled Project Management and IT Integration: A Systematic Review of Digital Transformation, Governance, and Leadership Models
Abstrak
The increasing complexity of modern projects, driven by digital transformation and technological advancements, has necessitated integrating artificial intelligence (AI) into project management practices. This systematic review examines the role of AI in enhancing project outcomes, governance frameworks, and leadership models. By synthesizing findings from multiple studies and case analyses, the review highlights how AI supports predictive analytics, resource optimization, workflow automation, and risk management, enabling organizations to make data-driven decisions and improve operational efficiency. The research underscores the importance of robust governance structures to ensure accountability, transparency, and ethical use of AI, particularly in regulated industries. Leadership emerges as a critical factor in translating AI capabilities into strategic value, emphasising vision, stakeholder engagement, change management, and the alignment of project objectives with organisational goals. The review also explores the cultural and organizational shifts required for successful AI adoption, highlighting the need for employee training, collaboration, and an innovation-driven mindset. Case studies from diverse sectors, including IT, construction, and corporate environments, demonstrate tangible benefits such as improved project performance, cost efficiency, and enhanced decision-making. Despite these advantages, challenges persist, including ethical considerations, data quality issues, resistance to change, and the need for skilled personnel. The findings suggest that organisations adopting AI-enabled project management must take a holistic approach, integrating technology, governance, leadership, and culture to achieve sustainable digital transformation. This review provides actionable insights for practitioners and researchers seeking to leverage AI strategically in complex project environments.
Identifier
- DOI: https://doi.org/10.70818/pjaei.v02i02.0153
- OpenAlex: https://openalex.org/W7117883653