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Strategic Integration of AI-Driven Project Management Systems in Public Sector Development Projects: A Comparative Study of Emerging and Advanced Economies

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  • Kiruja Annie Rodah Nyawira

    (MA Project Planning and Management, University of Nairobi, Kenya)

  • Dr Mary Nyawira Mwenda

    (Lecturer, Faculty of Business and Management Sciences, The University of Nairobi, Kenya)

Abstract

The study explores strategic integration of AI-driven project management systems in public sector development projects, comparing both emerging and advanced economies. It specifically examines the impact of adopting AI in the public sector in both advanced and emerging economies. While AI has notable advantages in government projects, the study outlines the constraints of AI integration into public projects (World Bank, 2021). A desktop review research design has been adopted to synthesize empirical data and literature from both economic contexts. The main findings of the research reveal significant differences in AI adoption between emerging and advanced economies. The study evaluates common barriers, assesses the scalability of AI tools across diverse settings, and showcases the need for context-specific policy and regulatory frameworks. This research offers recommendations suggesting metrics for standardization and advancing comparative empirical research to inform the successful adoption of AI in the public sector.

Suggested Citation

  • Kiruja Annie Rodah Nyawira & Dr Mary Nyawira Mwenda, 2025. "Strategic Integration of AI-Driven Project Management Systems in Public Sector Development Projects: A Comparative Study of Emerging and Advanced Economies," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(14), pages 1174-1181, May.
  • Handle: RePEc:bcp:journl:v:9:y:2025:issue-14:p:1174-1181
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    References listed on IDEAS

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    1. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
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