TY - JOUR
T1 - An analysis of determinants of the adoption of mobile health (mHealth)
AU - Martins, Nayra Leandro Miguel
AU - Duarte, Paulo
AU - Pinho, José Carlos M.R.
N1 - Funding Information:
2. The authors would like to thank NECE – Research Unit in Business Sciences funded by the Multiannual Funding Programme of R&D Centres of FCT – Fundação para a Ciência e a Tecnologia, under the project UIDB/04630/2020.
Funding Information:
1. This research was carried out during a doctorate program funded by the Fundação CAPES - Ministry of Education of Brazil, through a scholarship.
Publisher Copyright:
© 2021. All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - Given the increasing use of the Internet and mobile technologies, this study is pertinent as it seeks to analyze the factors that determine the adoption of Mobile Health (mHealth). To that end, the proposed conceptual model integrates the Unified Theory of Acceptance and Use of Technology (UTAUT2), Perceived Health Condition, eHealth Literacy and Perceived Health Competence as determinants of the adoption of mHealth. To answer the research questions, we used an online questionnaire administered to a non-probabilistic sample of Brazilian and Portuguese individuals who have or have not used mHealth. Data were analyzed using SPSS and SmartPLS3 software. The results indicate that adoption of mHealth is heavily impacted only by some UTAUT2 variables. The ‘Performance Expectancy’ dimension was found to heavily impact the adoption of mHealth among both users and non-users.
AB - Given the increasing use of the Internet and mobile technologies, this study is pertinent as it seeks to analyze the factors that determine the adoption of Mobile Health (mHealth). To that end, the proposed conceptual model integrates the Unified Theory of Acceptance and Use of Technology (UTAUT2), Perceived Health Condition, eHealth Literacy and Perceived Health Competence as determinants of the adoption of mHealth. To answer the research questions, we used an online questionnaire administered to a non-probabilistic sample of Brazilian and Portuguese individuals who have or have not used mHealth. Data were analyzed using SPSS and SmartPLS3 software. The results indicate that adoption of mHealth is heavily impacted only by some UTAUT2 variables. The ‘Performance Expectancy’ dimension was found to heavily impact the adoption of mHealth among both users and non-users.
KW - eHealth literacy
KW - mHealth
KW - Perceived health competence
KW - Perceived health condition
KW - UTAUT2
UR - http://www.scopus.com/inward/record.url?scp=85112631422&partnerID=8YFLogxK
U2 - 10.1590/S0034-759020210403x
DO - 10.1590/S0034-759020210403x
M3 - Article
AN - SCOPUS:85112631422
SN - 0034-7590
VL - 61
SP - 1
EP - 17
JO - RAE Revista de Administracao de Empresas
JF - RAE Revista de Administracao de Empresas
IS - 4
ER -