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Public Trust and Sustainable Digital Governance: Examining Open Government Data in Caribbean Small Island Developing States

Submitted:

11 May 2026

Posted:

11 May 2026

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Abstract
Public trust is essential for the effectiveness and long-term sustainability of open government data (OGD) initiatives, particularly in small island developing states (SIDS), where digital governance systems often operate under infrastructural and institutional constraints. Despite growing global research on OGD trust, limited research has examined how the quality dimensions of information systems' success models shape citizens’ trust in OGD platforms within Caribbean SIDS. This study investigates the effects of service quality, system quality, information quality, and data quality on public trust in OGD using an extended information systems success model (ISSM). Data were collected through an online survey of 904 respondents across Caribbean SIDS and analysed using partial least squares structural equation modelling (PLS-SEM). The findings indicate that all proposed relationships were statistically significant. Data quality emerged as the strongest predictor of public trust, followed by system quality. Service quality also significantly influenced system quality, information quality, and data quality. In addition, system quality, information quality, and data quality mediated the relationship between service quality and public trust in OGD. This study extends the ISSM framework by conceptualising data quality as a distinct construct within OGD environments. The findings provide practical insights for governments seeking to strengthen transparency, citizen engagement, and sustainable digital governance through higher-quality OGD systems and datasets. The results further highlight the role of open government platforms in improving public service delivery by providing citizens with complete, accurate, and accessible data, interactive feedback mechanisms, and effective data visualisation tools that support informed decision-making and public participation.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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