Institutional determinants of smart government adoption

Evidence from Thai public sector organizations

Datos Bibliográficos

ID13137644
AutoresPanitee Karnsomdee (0000-0002-4551-8239, Kasetsart University, autor de correspondencia)
Año2026
Volumen8
Fecha de publicación2026-03-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Political Science (JOURNAL)
Identificadores de la revistaISSN: 2673-3145 • E-ISSN: 2673-3145
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpos.2026.1732138
OpenAlexW7135047799
IdiomaEN
Citas recibidas1
Referencias citadas59

This study examines the determinants of smart government systems adoption among government officials in Thailand by integrating the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Employing a quantitative research design, data were collected through a structured questionnaire administered to 450 public sector officials with prior experience in smart government services. Descriptive and inferential statistical analyses were used to assess factors influencing adoption behavior. The results indicate that managerial support, incentives, trust, security concerns, and information and communication technology (ICT) strategy significantly affect smart government adoption, although their relative influences differ. Drawing on TAM and UTAUT, the findings emphasize the roles of perceived usefulness, facilitating conditions, and institutional trust in shaping technology acceptance within the public sector context. This study contributes theoretically by extending TAM–UTAUT integration to the smart government domain and highlighting the importance of organizational and trust-related factors beyond individual-level perceptions. Empirically, it provides evidence from a developing-country public sector setting, focusing on government officials as both system implementers and end-users. Practically, the findings offer policy-relevant insights to support effective smart government implementation, inter-organizational collaboration, and digital service delivery

E-Government · Government (linguistics · Government sector · Information technology · Public sector · Public service · Service (business · Technology Acceptance Model · E-Government and Public Services · Smart Cities and Technologies · Technology Adoption and User Behaviour