Abstract
Artificial intelligence (AI) is transforming various industries, including the field of project management. AI-based tools can optimize processes, support decision-making and automate routine, repetitive tasks, leading to increased efficiency and effectiveness. However, organizations vary in their awareness and implementation of AI in the domain of project management, which depends on factors such as industry, company size and level of digital maturity. This study aims to assess the level of familiarity and extent of AI technology implementation in IT project management organizations. The analysis covers key areas of AI use, perceived benefits, challenges and risks of implementing this technology. The results of the survey will contribute to a better understanding of the current situation and provide guidance on best practice for future AI implementation in the project management domain.
Paper Type
Full Paper
DOI
10.62036/ISD.2025.100
Familiarity and level of implementation of AI technology in the project management domain
Artificial intelligence (AI) is transforming various industries, including the field of project management. AI-based tools can optimize processes, support decision-making and automate routine, repetitive tasks, leading to increased efficiency and effectiveness. However, organizations vary in their awareness and implementation of AI in the domain of project management, which depends on factors such as industry, company size and level of digital maturity. This study aims to assess the level of familiarity and extent of AI technology implementation in IT project management organizations. The analysis covers key areas of AI use, perceived benefits, challenges and risks of implementing this technology. The results of the survey will contribute to a better understanding of the current situation and provide guidance on best practice for future AI implementation in the project management domain.
Recommended Citation
Michałek, N. (2025). Familiarity and level of implementation of AI technology in the project management domainIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.100