The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps
BackgroundContact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening the health care system. As the adoption rates in several regions are undesirable, governments must increase the acceptance of C...
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Format: | Article |
Language: | English |
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JMIR Publications
2021-02-01
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Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2021/2/e25893 |
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author | Oldeweme, Andreas Märtins, Julian Westmattelmann, Daniel Schewe, Gerhard |
author_facet | Oldeweme, Andreas Märtins, Julian Westmattelmann, Daniel Schewe, Gerhard |
author_sort | Oldeweme, Andreas |
collection | DOAJ |
description | BackgroundContact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening the health care system. As the adoption rates in several regions are undesirable, governments must increase the acceptance of COVID-19 tracing apps in these times of uncertainty.
ObjectiveBuilding on the Uncertainty Reduction Theory (URT), this study aims to investigate how uncertainty reduction measures foster the adoption of COVID-19 tracing apps and how their use affects the perception of different risks.
MethodsRepresentative survey data were gathered at two measurement points (before and after the app’s release) and analyzed by performing covariance-based structural equation modeling (n=1003).
ResultsWe found that uncertainty reduction measures in the form of the transparency dimensions disclosure and accuracy, as well as social influence and trust in government, foster the adoption process. The use of the COVID-19 tracing app in turn reduced the perceived privacy and performance risks but did not reduce social risks and health-related COVID-19 concerns.
ConclusionsThis study contributes to the mass adoption of health care technology and URT research by integrating interactive communication measures and transparency as a multidimensional concept to reduce different types of uncertainty over time. Furthermore, our results help to derive communication strategies to promote the mass adoption of COVID-19 tracing apps, thus detecting infection chains and allowing intelligent COVID-19 testing. |
first_indexed | 2024-12-19T19:33:45Z |
format | Article |
id | doaj.art-ba6fdb4c9eb84c069d46a13fb8adf288 |
institution | Directory Open Access Journal |
issn | 1438-8871 |
language | English |
last_indexed | 2024-12-19T19:33:45Z |
publishDate | 2021-02-01 |
publisher | JMIR Publications |
record_format | Article |
series | Journal of Medical Internet Research |
spelling | doaj.art-ba6fdb4c9eb84c069d46a13fb8adf2882022-12-21T20:08:32ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-02-01232e2589310.2196/25893The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing AppsOldeweme, AndreasMärtins, JulianWestmattelmann, DanielSchewe, GerhardBackgroundContact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening the health care system. As the adoption rates in several regions are undesirable, governments must increase the acceptance of COVID-19 tracing apps in these times of uncertainty. ObjectiveBuilding on the Uncertainty Reduction Theory (URT), this study aims to investigate how uncertainty reduction measures foster the adoption of COVID-19 tracing apps and how their use affects the perception of different risks. MethodsRepresentative survey data were gathered at two measurement points (before and after the app’s release) and analyzed by performing covariance-based structural equation modeling (n=1003). ResultsWe found that uncertainty reduction measures in the form of the transparency dimensions disclosure and accuracy, as well as social influence and trust in government, foster the adoption process. The use of the COVID-19 tracing app in turn reduced the perceived privacy and performance risks but did not reduce social risks and health-related COVID-19 concerns. ConclusionsThis study contributes to the mass adoption of health care technology and URT research by integrating interactive communication measures and transparency as a multidimensional concept to reduce different types of uncertainty over time. Furthermore, our results help to derive communication strategies to promote the mass adoption of COVID-19 tracing apps, thus detecting infection chains and allowing intelligent COVID-19 testing.https://www.jmir.org/2021/2/e25893 |
spellingShingle | Oldeweme, Andreas Märtins, Julian Westmattelmann, Daniel Schewe, Gerhard The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps Journal of Medical Internet Research |
title | The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps |
title_full | The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps |
title_fullStr | The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps |
title_full_unstemmed | The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps |
title_short | The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps |
title_sort | role of transparency trust and social influence on uncertainty reduction in times of pandemics empirical study on the adoption of covid 19 tracing apps |
url | https://www.jmir.org/2021/2/e25893 |
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