The Integration of Artificial Intelligence in Project Management: A Review
Project management is the coordination of a number of procedures to achieve the desired goals of a project. It involves planning, monitoring and execution. The over expansion of IT projects increased their complexity, uncertainty and its variability. Therefore, it has become difficult for traditional methods to manage these projects effectively. As these methods rely on experience and intuition and cannot deal with vast amounts of data, repetitive tasks or high variability. As a result, the outcomes maybe prone to errors. Consequently, the failure rate of IT projects increases. Since technology is an essential element for any organization, they have to find solutions in order to manage IT projects. AI has proven its effectiveness in many fields. In this research, through a literature review, we will study the most prominent aspects of integration between AI and project management in terms of challenges and impacts. As well as the contribution of AI in the knowledge areas of project management. We will focus on exploring how AI improves these specific knowledge areas: risk management, cost management, and scheduling management. From this research, we conclude that AI proved its ability to enhance many aspects of project management. Therefore, the research offers important insights for organizations that attempt to adopt AI into project management.
Authors
- Nouf Ahmad Almojel
- Omer Alrwais (ORCID: https://orcid.org/0000-0002-2289-643X)
Publication Details
- Journal
- Science Publishing Corporation (Science Publishing Corporation Inc.)
- Published
- 2025-12-19
- DOI
- https://doi.org/10.14419/0v55sy74
- Primary Topic
- Construction Project Management and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00