Users’ Intention to Use Mobile Health Applications for Personal Health Tracking

Galuh Octavia Chrisdianti (Faculty of Computer Science, Universitas Indonesia)
Putu Wuri Handayani (Faculty of Computer Science, Universitas Indonesia)
Fatimah Azzahro (Faculty of Computer Science, Universitas Indonesia)
Satrio Baskoro Yudhoatmojo (Department of Systems Science and Industrial Engineering, Binghamton University)

Jurnal Sistem Informasi
Vol. 19 No. 1 (2023): Jurnal Sistem Informasi (Journal of Information System)

This study aimed to analyze factors influencing the intention to use mobile health applications for personal health tracking (PHT). The respondents were 516 individuals who had used a PHT application, such as Samsung Health, iOS Health, or MiFit. Data processing was done via using partial least squares–structural equation modeling (PLS-SEM). This study uncovered factors that can affect intention to use PHT applications, including perceived usefulness, social influence, facilitating conditions, hedonic motivation, habits, performance risk, and self-health awareness. It was found that perceived ease of use and self-reported health condition do not affect the intention to use PHT applications. This study can provide guidance on PHT application service providers for ensuring data accuracy, increasing user satisfaction when using the applications, and preventing privacy violation.