Assessing the impact of artificial intelligence on project efficiency enhancement
Kozhakhmetova A. Mamyrbayev A. Zhidebekkyzy A. Bilan S.
2024LLC CPC Business Perspectives
Knowledge and Performance Management
2024#8Issue 2109 - 126 pp.
The study explores the impact of artificial intelligence (AI) technologies on project management (PM) across different industries. It aims to assess how AI adoption in PM affects project efficiency. The study surveyed 159 project supervisors and specific project managers implementing projects from 7 industries in the Republic of Kazakhstan: software, green energy, engineering, construction, science, transport, and tourism. The research used variance and linear regression analyses to evaluate the relationship between AI adoption and project efficiency level measured by the Likert scale from 1 to 5 and test the associated hypotheses. The results show that AI adoption varies among industries, with software, construction, and scientific projects being the most active users. The study also found that the use of AI differed across eight project performance domains, with the stakeholder domain using voice technologies and process automation and the uncertainty domain using fewer tools. Projects with higher AI adoption rates showed higher efficiency scores (for example, in Software projects, the AI adoption rate is 3.2; the efficiency rate is 3.3), while those with lower efficiency levels (for example, in the Tourism industry, the AI adoption rate is 1.9; the efficiency rate is 2.2) showed the worst results. Decision-making systems, process automation, and voice technologies are the three most critical AI technologies PM professionals use to improve project efficiency.
artificial intelligence , Kazakhstan , PMBOK standard , project management , project performance domains
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Kazakh British Technical University, Institute of Applied Sciences and Information Technology, Kazakhstan
Institute of Advanced Research and Sustainable Development, Kazakhstan
Almaty Management University, Kazakhstan
Kautz Gyula Faculty of Business and Economics, Széchenyi István University, Hungary
Kazakh British Technical University
Institute of Advanced Research and Sustainable Development
Almaty Management University
Kautz Gyula Faculty of Business and Economics
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