The Last State of Artificial Intelligence in Project Management
This review identifies gaps and popular techniques in AI application for project management researchers and practitioners, highlighting areas for future development.
This paper systematically reviewed 58 articles on AI applications in project management (PM), finding that AI is in early stages of adoption in PM, particularly lacking in stakeholder, procurement, and communication management. The most common applications were effort prediction and cost estimation, primarily using support vector machines, neural networks, and genetic algorithms.
Artificial intelligence (AI) has been used to advance different fields, such as education, healthcare, and finance. However, the application of AI in the field of project management (PM) has not progressed equally. This paper reports on a systematic review of the published studies used to investigate the application of AI in PM. This systematic review identified relevant papers using Web of Science, Science Direct, and Google Scholar databases. Of the 652 articles found, 58 met the predefined criteria and were included in the review. Included papers were classified per the following dimensions: PM knowledge areas, PM processes, and AI techniques. The results indicated that the application of AI in PM was in its early stages and AI models have not applied for multiple PM processes especially in processes groups of project stakeholder management, project procurements management, and project communication management. However, the most popular PM processes among included papers were project effort prediction and cost estimation, and the most popular AI techniques were support vector machines, neural networks, and genetic algorithms.