Cargando…
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
BACKGROUND: 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 eventuall...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484482/ https://www.ncbi.nlm.nih.gov/pubmed/35862671 http://dx.doi.org/10.2196/35434 |
_version_ | 1784791884828246016 |
---|---|
author | Nunes, Nuno Adamo, Greta Ribeiro, Miguel R Gouveia, Bruna Rubio Gouveia, Elvio Teixeira, Pedro Nisi, Valentina |
author_facet | Nunes, Nuno Adamo, Greta Ribeiro, Miguel R Gouveia, Bruna Rubio Gouveia, Elvio Teixeira, Pedro Nisi, Valentina |
author_sort | Nunes, Nuno |
collection | PubMed |
description | BACKGROUND: 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. |
format | Online Article Text |
id | pubmed-9484482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94844822022-09-20 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 Nunes, Nuno Adamo, Greta Ribeiro, Miguel R Gouveia, Bruna Rubio Gouveia, Elvio Teixeira, Pedro Nisi, Valentina JMIR Hum Factors Original Paper BACKGROUND: 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. JMIR Publications 2022-09-14 /pmc/articles/PMC9484482/ /pubmed/35862671 http://dx.doi.org/10.2196/35434 Text en ©Nuno Nunes, Greta Adamo, Miguel Ribeiro, Bruna R Gouveia, Elvio Rubio Gouveia, Pedro Teixeira, Valentina Nisi. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 14.09.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Nunes, Nuno Adamo, Greta Ribeiro, Miguel R Gouveia, Bruna Rubio Gouveia, Elvio Teixeira, Pedro Nisi, Valentina 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484482/ https://www.ncbi.nlm.nih.gov/pubmed/35862671 http://dx.doi.org/10.2196/35434 |
work_keys_str_mv | AT nunesnuno modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology AT adamogreta modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology AT ribeiromiguel modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology AT rgouveiabruna modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology AT rubiogouveiaelvio modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology AT teixeirapedro modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology AT nisivalentina modelingadoptionsecurityandprivacyofcovid19appsfindingsandrecommendationsfromanempiricalstudyusingtheunifiedtheoryofacceptanceanduseoftechnology |