The Relevance of Artificial Intelligence in Project Management

Artificial Intelligence (AI) and its underlying methodologies, such as genetic algorithms, fuzzy logic and neural networks have taken a prominent place in the transformation of organizational practices, thus also becoming indispensable components in projects and project-oriented organizations by enabling automation of repetitive tasks, accelerating productivity and ensuring strategic direction in achievement of project goals and enhancing overall project performance. To examine the extent of application and relevance of Artificial Intelligence in project management, the authors conducted a comprehensive literature review on 105 academic articles published between 1994 and 2023 and indexed in the Web of Science database. A bibliometric analysis based on keywords co-occurrence along with visual representation of interconnected data was used. The obtained results indicate key research trends in the field, which include project management and technologies within AI, optimization of project performance, application of neural networks, and forecasting project success with the help of AI. Additionally, the results point to new directions and highlight that project managers should focus on addressing barriers to AI adoption, managing complex adaptive systems, interpreting data provided by the system, making decisions and managing change, establishing comprehensive AI training programs, and facilitating progress together with promoting open strategies to encourage technology assimilation among employees.