Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators

Mobile health applications are increasingly numerous and varied. However, despite high expectations and large budgets involved in their development they are often rejected by potential users, and little is known on why this happens. This study aimed to fill this gap by investigating the determinants...

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Main Authors: Andreia Nunes, Teresa Limpo, São Luís Castro
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.02791/full
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spelling doaj-ebc2a3142ba74810b9c59f792fd9141c2020-11-25T01:20:06ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-12-011010.3389/fpsyg.2019.02791484126Acceptance of Mobile Health Applications: Examining Key Determinants and ModeratorsAndreia NunesTeresa LimpoSão Luís CastroMobile health applications are increasingly numerous and varied. However, despite high expectations and large budgets involved in their development they are often rejected by potential users, and little is known on why this happens. This study aimed to fill this gap by investigating the determinants of technology acceptance and its moderators. Aligned with the Unified Theory of Acceptance and Use of Technology, we examined the moderating roles of age, gender, and smartphone experience in the relationship between technology acceptance determinants (performance expectancy, effort expectancy, social influence, and facilitating conditions) and the intention to use mobile health applications (N = 394, 18–65 years). A stepwise multiple linear regression was conducted. Results showed that the intention to use mobile health applications was determined by performance expectancy moderated by age and smartphone experience, and that the role of the other determinants depended on age and gender (e.g., more intention to use in older men if less effort, and in younger men if better facilitating conditions). These findings show that user characteristics are relevant moderators and should be considered when targeting specific populations to use mobile health applications.https://www.frontiersin.org/article/10.3389/fpsyg.2019.02791/fulltechnology acceptancemobile health applicationsUTAUT modelsmartphonehuman-technology interaction
collection DOAJ
language English
format Article
sources DOAJ
author Andreia Nunes
Teresa Limpo
São Luís Castro
spellingShingle Andreia Nunes
Teresa Limpo
São Luís Castro
Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
Frontiers in Psychology
technology acceptance
mobile health applications
UTAUT model
smartphone
human-technology interaction
author_facet Andreia Nunes
Teresa Limpo
São Luís Castro
author_sort Andreia Nunes
title Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
title_short Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
title_full Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
title_fullStr Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
title_full_unstemmed Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
title_sort acceptance of mobile health applications: examining key determinants and moderators
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2019-12-01
description Mobile health applications are increasingly numerous and varied. However, despite high expectations and large budgets involved in their development they are often rejected by potential users, and little is known on why this happens. This study aimed to fill this gap by investigating the determinants of technology acceptance and its moderators. Aligned with the Unified Theory of Acceptance and Use of Technology, we examined the moderating roles of age, gender, and smartphone experience in the relationship between technology acceptance determinants (performance expectancy, effort expectancy, social influence, and facilitating conditions) and the intention to use mobile health applications (N = 394, 18–65 years). A stepwise multiple linear regression was conducted. Results showed that the intention to use mobile health applications was determined by performance expectancy moderated by age and smartphone experience, and that the role of the other determinants depended on age and gender (e.g., more intention to use in older men if less effort, and in younger men if better facilitating conditions). These findings show that user characteristics are relevant moderators and should be considered when targeting specific populations to use mobile health applications.
topic technology acceptance
mobile health applications
UTAUT model
smartphone
human-technology interaction
url https://www.frontiersin.org/article/10.3389/fpsyg.2019.02791/full
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