| Abstract [eng] |
In recent years, artificial intelligence has become an increasingly significant factor in organizational activities, accelerating digital transformation and creating competitive advantage across various sectors. Scientific research indicates that artificial intelligence solutions enable the optimization of business processes, the generation of real-time insights, more efficient resource management, and evidence-based decision-making. The growing potential of artificial intelligence is particularly evident in the field of project management, as increasing project complexity, high requirements for time and cost control, and the need for effective risk management encourage the adoption of more advanced solutions. This master’s thesis aims to evaluate the integration of artificial intelligence in project management. Integration is examined through the target areas defined in the PMBOK 8th edition, which are essential for implementing project management principles. These target areas reveal the essence of project management regardless of the applied methodological approach. The thesis examines the interconnections between project management and organizational change and identifies the value created by artificial intelligence across various target areas. The literature reveals a lack of practical guidelines for artificial intelligence integration in project management, both in Lithuania and globally; therefore, the objective of this study is to identify the factors that determine successful artificial intelligence integration in project management processes. Research object – the integration of artificial intelligence in project management areas. Research results. The analysis of scientific literature and the conducted empirical study revealed that artificial intelligence integration in project management is a promising practice; however, its level of implementation maturity within organizations remains limited. The findings show that although the adoption of artificial intelligence is increasing globally and organizations plan to actively integrate AI-based solutions, in practice, it is most often applied as a supporting rather than a strategic tool. Five target areas of project management were identified: initiation, planning, execution, monitoring and control, and closure. Artificial intelligence integration and its generated value are evident across all target areas; however, the study revealed that the greatest value created by artificial intelligence is observed in the planning area. Nevertheless, empirical data demonstrated the broader applicability of artificial intelligence in other areas than previously emphasized in the literature. It was determined that artificial intelligence contributes to time savings, increased efficiency, and the automation of routine tasks, with these benefits achieved using various AI tools, such as Microsoft Project, ChatGPT, and others. The study also revealed that organizational factors have the greatest influence on successful artificial intelligence integration, particularly management support and financial resources, while technological, human, ethical, and external factors also remain significant. The key success factors identified include employee training, consistent communication, and the assessment of organizational readiness. |
