TY - JOUR
T1 - Predictors of contact tracing app adoption
T2 - Integrating the UTAUT, HBM and contextual factors
AU - van der Waal, Nadine Elisa
AU - de Wit, Jan
AU - Bol, Nadine
AU - Ebbers, Wolfgang
AU - Hooft, Lotty
AU - Metting, Esther
AU - van der Laan, Laura Nynke
N1 - Funding Information:
The panel costs were funded by the Ministry of Health , Welfare and Sports of the Dutch Government as part of the scientific evaluation of the Dutch contact tracing app.
Publisher Copyright:
© 2022 The Authors
PY - 2022/11
Y1 - 2022/11
N2 - Contact tracing apps (CTAs) have been introduced as a means to identify and isolate possible cases infected with COVID-19. Since the adoption rate determines the effectiveness of CTAs, it is important to examine what factors contribute to a higher CTA uptake. This study aimed to use an integrative approach to explain early CTA adoption, whereby three perspectives are distinguished: technology-related (derived from the Unified Theory of Acceptance and Use of Technology [UTAUT]), health-related (derived from the Health Belief Model [HBM]), and context-related. A survey was administered among a representative sample of the Dutch population (N = 1865). A hierarchical logistic regression analysis was performed in which the models were compared. Results showed that an integrative model including all three perspectives (i.e., UTAUT, HBM, and context-related variables) resulted in better model fit than any of the other models. All UTAUT variables were associated with CTA adoption in the expected directions. Regarding the HBM, self-efficacy, perceived barriers and perceived benefits were associated with CTA adoption in the expected directions. Several context-related variables, such as fear, were associated with CTA adoption. Our findings demonstrate that extending the UTAUT with preventive health-behavioral factors and contextual factors contribute to better understanding of CTA adoption.
AB - Contact tracing apps (CTAs) have been introduced as a means to identify and isolate possible cases infected with COVID-19. Since the adoption rate determines the effectiveness of CTAs, it is important to examine what factors contribute to a higher CTA uptake. This study aimed to use an integrative approach to explain early CTA adoption, whereby three perspectives are distinguished: technology-related (derived from the Unified Theory of Acceptance and Use of Technology [UTAUT]), health-related (derived from the Health Belief Model [HBM]), and context-related. A survey was administered among a representative sample of the Dutch population (N = 1865). A hierarchical logistic regression analysis was performed in which the models were compared. Results showed that an integrative model including all three perspectives (i.e., UTAUT, HBM, and context-related variables) resulted in better model fit than any of the other models. All UTAUT variables were associated with CTA adoption in the expected directions. Regarding the HBM, self-efficacy, perceived barriers and perceived benefits were associated with CTA adoption in the expected directions. Several context-related variables, such as fear, were associated with CTA adoption. Our findings demonstrate that extending the UTAUT with preventive health-behavioral factors and contextual factors contribute to better understanding of CTA adoption.
KW - Contact tracing app
KW - Contextual factors
KW - COVID-19
KW - HBM
KW - Preventive health behavior
KW - Public health
KW - Technology adoption
KW - UTAUT
UR - http://www.scopus.com/inward/record.url?scp=85138210044&partnerID=8YFLogxK
U2 - 10.1016/j.techsoc.2022.102101
DO - 10.1016/j.techsoc.2022.102101
M3 - Article
AN - SCOPUS:85138210044
SN - 0160-791X
VL - 71
JO - Technology in Society
JF - Technology in Society
M1 - 102101
ER -