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Towards Smart Public Administration: A TOE-Based Empirical Study of AI Chatbot Adoption in a Transitioning Government Context

Author

Listed:
  • Mansur Samadovich Omonov

    (Department of Applied Artificial Intelligence, Hanyang University ERICA, Ansan 15588, Republic of Korea)

  • Yonghan Ahn

    (Department of Architecture and Architectural Engineering, Hanyang University ERICA, Ansan 15588, Republic of Korea)

Abstract

As governments pursue digital transformation to improve service delivery and administrative efficiency, AI chatbots have emerged as a promising innovation in smart public administration. However, their adoption remains limited, particularly in transitioning countries where institutional, organizational, and technological conditions are complex and evolving. This study aims to empirically examine the key aspects, challenges, and strategic implications of AI chatbots’ adoption in public administration of Uzbekistan, a transitioning government in Central Asia. The study offers a novel contribution by employing an extended technology–organization–environment (TOE) framework. Data were collected through a survey among 501 public employees and partial least squares structural equation modeling was used to analyze data. The results reveal that perceived usefulness, compatibility, organizational readiness, effective accountability, and ethical AI regulation are key enablers, while system complexity, traditional leadership, resistance to change, and concerns over data management and security pose major barriers. The findings contribute to the literature on effective innovation in public administration and provide practical insights for policymakers and public managers aiming to effectively implement AI solutions in complex governance settings.

Suggested Citation

  • Mansur Samadovich Omonov & Yonghan Ahn, 2025. "Towards Smart Public Administration: A TOE-Based Empirical Study of AI Chatbot Adoption in a Transitioning Government Context," Administrative Sciences, MDPI, vol. 15(8), pages 1-29, August.
    • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:8:p:324-:d:1726022
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    References listed on IDEAS

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    3. Juyoung Moon & Jae Wook Choi & Kyung Hee Kim, 2024. "Regional Disparities in Safe and Clean Environments in Uzbekistan: Analysis of 2021–2022 Uzbekistan Multiple Indicator Cluster Survey Data," Sustainability, MDPI, vol. 16(4), pages 1-12, February.
    4. Oliver Neumann & Katharina Guirguis & Reto Steiner, 2024. "Exploring artificial intelligence adoption in public organizations: a comparative case study," Public Management Review, Taylor & Francis Journals, vol. 26(1), pages 114-141, January.
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    Cited by:

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