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Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology

2022Journal article Open access
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dc.contributor.authorNunes, Nuno
dc.contributor.authorAdamo, Greta
dc.contributor.authorRibeiro, Miguel
dc.contributor.authorGouveia, Bruna R.
dc.contributor.authorGouveia, Élvio Rúbio
dc.contributor.authorTeixeira, Pedro
dc.contributor.authorNisi, Valentina
dc.date.accessioned2023-07-12T14:49:00Z
dc.date.available2023-07-12T14:49:00Z
dc.date.issued2022
dc.description.abstractBackground: The global health crisis caused by COVID-19 has drastically changed human society in a relatively short time. However, this crisis has offered insights into the different roles that such a worldwide virus plays in the lives of people and how those have been affected, as well as eventually proposing new solutions. From the beginning of the pandemic, technology solutions have featured prominently in virus control and in the frame of reference for international travel, especially contact tracing and passenger locator applications. Objective: The objective of this paper is to study specific areas of technology acceptance and adoption following a unified theory of acceptance and use of technology (UTAUT) research model. Methods: We presented a research model based on UTAUT constructs to study the determinants for adoption of COVID-19–related apps using a questionnaire. We tested the model via confirmatory factor analysis (CFA) and structural equation modeling (SEM) using travelers’ data from an insular tourist region. Results: Our model explained 90.3% of the intention to use (N=9555) and showed an increased understanding of the vital role of safety, security, privacy, and trust in the usage intention of safety apps. Results also showed how the impact of COVID-19 is not a strong predictor of adoption, while age, education level, and social capital are essential moderators of behavioral intention. Conclusions: In terms of scientific impact, the results described here provide important insights and contributions not only for researchers but also for policy and decision makers by explaining the reasons behind the adoption and usage of apps designed for COVID-19.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNunes, N., Adamo, G., Ribeiro, M., Gouveia, B. R., Gouveia, E. Rúbio , Teixeira, P., & Nisi, V. (2022). Modeling adoption, security, and privacy of COVID-19 apps: findings and recommendations from an empirical study using the unified theory of acceptance and use of technology. JMIR Human Factors, 9(3), e35434.pt_PT
dc.identifier.doi10.2196/35434pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5269
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherJMIR Publicationspt_PT
dc.relationLaboratory of Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCOVID-19pt_PT
dc.subjectSARS-CoV-2pt_PT
dc.subjectUTAUTpt_PT
dc.subjectEmpirical studypt_PT
dc.subjectStructural equation modelingpt_PT
dc.subjectConfirmatory factor analysispt_PT
dc.subjectSecuritypt_PT
dc.subjectPrivacypt_PT
dc.subjectGlobal healthpt_PT
dc.subjectTechnology solutionpt_PT
dc.subjectResearch modelpt_PT
dc.subjectTechnology acceptancept_PT
dc.subjectDigital healthpt_PT
dc.subjectMobile healthpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Sociaispt_PT
dc.titleModeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technologypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT
oaire.citation.issue3pt_PT
oaire.citation.startPagee35434pt_PT
oaire.citation.titleJMIR Human Factorspt_PT
oaire.citation.volume9pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNunes
person.familyNameGouveia
person.familyNameGouveia
person.familyNameNisi
person.givenNameNuno
person.givenNameBruna
person.givenNameÉlvio Rúbio
person.givenNameValentina
person.identifier1379802
person.identifier.ciencia-idDE1D-5AAF-B0A9
person.identifier.ciencia-idE212-42B7-575E
person.identifier.ciencia-id3B10-8BDF-0D67
person.identifier.ciencia-id121B-A629-000D
person.identifier.orcid0000-0002-2498-0643
person.identifier.orcid0000-0001-7706-190X
person.identifier.orcid0000-0003-0927-692X
person.identifier.orcid0000-0002-8051-3230
person.identifier.ridM-4006-2013
person.identifier.ridB-3793-2016
person.identifier.ridG-8658-2018
person.identifier.scopus-author-id8704415000
person.identifier.scopus-author-id56090521600
person.identifier.scopus-author-id22433754200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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