What is it about?
Accordingly, the aim of the chapter was to investigate factors that influence the customers' adoption of digital health apps in Algeria. The authors adopted an extended technology acceptance model (TAM) framework by integrating the constructs of perceived self-efficacy and trust. A structured questionnaire survey was used to collect data from 186 participants in five cities. Multiple linear regression analysis was used for data analysis. Findings show that perceived usefulness, attitudes, perceived self-efficacy, and perceived ease of use significantly and positively predicted customers' intention to use digital health apps. However, behavioural intention to use was not significantly and positively influenced by trust in digital health system.
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Why is it important?
Moreover, results revealed that the extended TAM explained 60.1% of the variance of intention. The chapter provides valuable results concerning the determinants of adoption of digital health apps.
Perspectives
Moreover, results revealed that the extended TAM explained 60.1% of the variance of intention. The chapter provides valuable results concerning the determinants of adoption of digital health apps.
Prof. Kamel Mouloudj
Universite Dr Yahia Fares de Medea
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This page is a summary of: Factors Influencing the Adoption of Digital Health Apps, June 2023, IGI Global,
DOI: 10.4018/978-1-6684-8337-4.ch007.
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