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Orientador(es)
Resumo(s)
Artificial Intelligence is playing an increasingly central role in the transformation of public
governance, offering new possibilities for more adaptive, responsive, and citizen-centric
service delivery. However, the extent to which European Union member states are
institutionally and societally prepared to adopt these technologies in the public sector remains
insufficiently explored. This thesis addresses that gap by providing a comparative assessment
of Artificial Intelligence readiness across the European Union. Using secondary data from
Eurostat and the European Commission’s electronic Government Benchmark, the study
applies exploratory factor analysis to identify two core dimensions: Digital Skills and Electronic
Government Engagement, and Transparency and Electronic Government Service Availability.
These dimensions serve as inputs for hierarchical and k-means clustering, which reveal six
distinct profiles of readiness among member states. The findings uncover substantial
disparities in both infrastructural and citizen-level preparedness, reflecting broader digital
divides. Ultimately, the results highlight that successful Artificial Intelligence integration in
public governance is contingent not only on technological infrastructure but also on inclusive,
citizen-oriented strategies. This thesis contributes an empirical framework for understanding
readiness, offering practical insights for policymakers aiming to ensure that AI-driven digital
transformation advances equitably across the European public sector.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Business Intelligence
Palavras-chave
Artificial Intelligence E-Government AI readiness AI adoption European Union SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals
