Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors
van der Waal,Nadine Elisa de Wit,Jan Bol,Nadine Ebbers,Wolfgang Hooft,Lotty Metting,Esther van der Laan,Laura Nynke
van der Waal,Nadine Elisa
de Wit,Jan
Bol,Nadine
Ebbers,Wolfgang
Hooft,Lotty
Metting,Esther
van der Laan,Laura Nynke
Abstract
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.
Description
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
Date
2022-11
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Publisher
Research Projects
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Keywords
Contact tracing app, Contextual factors, COVID-19, HBM, Preventive health behavior, Public health, Technology adoption, UTAUT
Citation
van der Waal, N E, de Wit, J, Bol, N, Ebbers, W, Hooft, L, Metting, E & van der Laan, L N 2022, 'Predictors of contact tracing app adoption : Integrating the UTAUT, HBM and contextual factors', Technology in Society, vol. 71, 102101. https://doi.org/10.1016/j.techsoc.2022.102101
License
info:eu-repo/semantics/openAccess