This study examines the applicability of the e-Government cloud adoption model by Liang et al. (2017) in the context of Logius, a central government organization in the Netherlands. By conducting a...Show moreThis study examines the applicability of the e-Government cloud adoption model by Liang et al. (2017) in the context of Logius, a central government organization in the Netherlands. By conducting a mixed-methods approach encompassing qualitative interviews and a quantitative survey, the study investigates the factors and mechanisms influencing public cloud adoption at Logius. The findings validate the model's relevance, despite its examination in a different context than the one it is developed in. The study identifies 17 factors, categorized into five determinants: cloud trust, technological drivers, cloud provider support, organization readiness, and environmental stimuli. It confirms that technological drivers and cloud provider support indirectly impact public cloud adoption through cloud trust, while environmental stimuli moderate the relationship between cloud trust and adoption. However, no such interrelation is found for organizational readiness. Additionally, the study extends the model by incorporating factors like trialability, internal expertise, and economic conditions.Show less
