Análise da aceitação da identidade auto-soberana como método de identificação da identidade digital em Portugal

  • Nuno Miguel da Conceição Fernandes Verdasca (Student)

Student thesis: Master's Thesis


A Self-Sovereign Identity (SSI) is a new digital identity model used on the internet, it is analternative way to validate who we are on websites, services and applications in which we need toestablish trusting relationships to access or protect private information. It’s main purpose is so thatindividuals and companies can store their own identity data on their own devices; choose whatinformation to share with validators, without relying on a central repository of identity data. This study analyzes what would be the Portuguese population's level of acceptance towards technology such as the Self-Sovereign Identity, analyzing the ‘Level of Knowledge’ at the time ofthe study. An adapted version of the Technology Acceptance Model (TAM) proposed by Davis(1989) is used, which seeks to analyze the relationships between a set of variables 'PerceivedUsefulness', 'Perceived Ease of Use' and 'Perceived Risk', to understand the intended use of the technology under study, in other words, it may be perceived that a technology is only accepted ifit is considered as safe, necessary, and useful. The data collection of the sample is done through a published questionnaire. The results obtained shows that the majority of the sample population does not familiar with the Self-Sovereign Identity technology. The 'Level of Knowledge' does not correlate with the other variables, that is, it demonstrates that it has no influence. The analysis of the 'Perceived Risk'concludes that there is fear in the intention of using this technology, given the 'Perceived Risk'. However, regarding the observed conclusions, there is a limitation on the population of the studysample, which does not reflect all segments of society, recommending that in a future analysis, a more diversified sample be obtained. As a recommendation, we highlight the need to increase people's knowledge about the SSI and reduce the perceived risk among users.
Date of Award2 Feb 2023
Original languagePortuguese
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorPaulo Amaral (Supervisor)


  • Mestrado em Gestão Aplicada

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