REVOLUTIONIZING PUBLIC SECTOR OPERATIONS WITH GENERATIVE AI: ENHANCING EFFICIENCY, OPTIMIZING RESOURCES, AND EMPOWERING DATA-DRIVEN DECISION-MAKING FOR MODERN GOVERNANCE

Elvira Nica (), Gheorghe Popescu (), Marian Grupac (), Marcela Cristina Hurjui () and Ioana Alexandra Pã‚rvu
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Elvira Nica: Faculty of Administration and Public Management, Bucharest University of Economic Studies, Romania
Gheorghe Popescu: „Dimitrie Cantemir" Christian University, Bucharest, Department of Finance, Banking and Accounting, Bucharest University of Economic Studies, Romania
Marian Grupac: Department of Mediamatics and Cultural Heritage, University of Zilina, Zilina, Slovak Republic,
Marcela Cristina Hurjui: Administration and Business Department of Economics,†Stefan cel Mare†University of Suceava, Romania
Ioana Alexandra Pã‚rvu: parvuioana19@stud.ase.ro

Management Research and Practice, 2025, vol. 17, issue 2, 35-56

Abstract: The application of Generative Artificial Intelligence (AI) in certain operations of the public sector has been viewed as a revolutionary use aiming at improving efficiency, resource management, and facilitating the implementation of modern governance through informed decisions backed by evidence. This research article looks at the ability of generative AI to transform the institution of public administration by dealing with the problems of waisted resources, improving accountability and increasing citizen participation. The areas of focus include efficiency of the administration, optimization of resources, Governance models based on data, barriers to adoption of AI, public engagement, Ethical issues. The research employs Therese as a methodology consisting of the integration of quantitative and qualitative forms to study the impact of generative AI on the structures of governance frameworks. The results offer an interesting insight as there is substantial evidence which suggests that users who believe there are efficiency improvements resulting from AI tools, are likely to use such tools (ð ‘Ÿ=0.78, ð ‘

Keywords: Generative AI; Public Sector Governance; Data-Driven Decision-Making; Resource Optimization; Transparency and Engagement; Ethical AI Adoption (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:rom:mrpase:v:17:y:2025:i:2:p:35-56

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