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Factors Influencing AI Chatbot Adoption in Government Administration: A Case Study of Sri Lanka’s Digital Government

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  • Arjuna Srilal Rathnayake

    (Department of Applied Artificial Intelligence, Hanyang University, Erica Campus, Ansan-si 15588, Republic of Korea)

  • Truong Dang Hoang Nhat Nguyen

    (Center for AI Technology in Construction, Hanyang University, Erica Campus, Ansan-si 15588, Republic of Korea)

  • Yonghan Ahn

    (Department of Architecture and Architectural Engineering, Hanyang University, Erica Campus, Ansan-si 15588, Republic of Korea)

Abstract

This study investigates the factors in acceptance of artificial intelligence (AI)-based chatbot application in Sri Lanka’s government administration services, which can be applied to developing countries, using an extended technology acceptance model (extended TAM) as a new research framework by adding external constructs such as trust, application design/appearance, and social influence to the technology acceptance model (TAM). Considering the sustainable implementation of AI, it is critical to understand user perspectives given the expanding and intricate integration of AI technology in government operations. Based on previous research, this study provides a structured survey to find out respondents’ thoughts on using AI chatbots to enhance government service delivery. With a valid sample size of 207 responses obtained from Sri Lanka, the data were analyzed using a covariance-based structural equation model (CB-SEM) to test the hypothesized relationships. The findings revealed that social influence (SI) has a positive and significant impact on trust (TR). Also, trust and application design (AD) have a positive and significant impact on perceived ease of use (PE), which in turn positively influenced perceived usefulness (PU) and then PE positively influenced attitude (AT) toward behavioral intention (BI) to accept AI chatbot applications in government administrative services. Therefore, this new model proved the effect of new external factors and highlights the importance of those factors in policy implementations for future AI-driven digital government initiatives.

Suggested Citation

  • Arjuna Srilal Rathnayake & Truong Dang Hoang Nhat Nguyen & Yonghan Ahn, 2025. "Factors Influencing AI Chatbot Adoption in Government Administration: A Case Study of Sri Lanka’s Digital Government," Administrative Sciences, MDPI, vol. 15(5), pages 1-29, April.
    • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:5:p:157-:d:1642058
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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