Gendered Insights into Continuance Intention for Mobile Health Applications in Indonesia: A Post-Pandemic Study on Perceived Disease Threats and Self-Efficacy
Keywords:
Gender Differences, Continuance Intention, Perceived Disease Threats, Self-Efficacy, Mobile Health ApplicationsAbstract
The sustained use of mobile health applications (mHealth) in the post-pandemic era is increasingly relevant due to ongoing health concerns and perceived disease threats (PDT). This study addresses significant gaps in understanding how self-efficacy and gender differences influence continuance intention (CI) to use mHealth applications. Guided by the Protection Motivation Theory (PMT), the research examines the
relationships between PDT, self-efficacy, and CI, with gender as a moderating variable. Data from 415 mHealth users in Indonesia were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that PDT significantly influences CI, while self-efficacy directly enhances CI. Gender moderates the PDT-CI relationship, with female users showing a stronger connection. However, self-efficacy
does not mediate the PDT-CI relationship. The study highlights practical implications for mHealth developers, including the need for user-friendly and gender-sensitive designs to enhance self-efficacy and engagement. Limitations include the cross-sectional design and focus on Indonesian users, suggesting future research should adopt longitudinal approaches and explore diverse demographic and cultural contexts. The findings extend PMT's theoretical application and provide actionable insights for improving mHealth application adoption and retention in diverse populations.
References
Amelia, F. (2020, March 6). Melihat Perkembangan Teknologi Kesehatan di Era Digital. Https://Www.Klikdokter.Com/Info-Sehat/Kesehatan-Umum/Melihat-Perkembangan-Teknologi-Kesehatan-Di-Era-Digital?Srsltid=AfmBOoqGRzJERCeG9KSvhgCM3FMNI8-8HjW4r9svCz7YtJ5MLjfuTaoq.
Bestsennyy, O., Gilbert, G., Harris, A., & Rost, J. (2021, July 21). Telehealth: A quarter-trillion-dollar post-COVID-19 reality? Https://Www.Mckinsey.Com/Industries/Healthcare/Our-Insights/Telehealth-a-Quarter-Trillion-Dollar-Post-Covid-19-Reality#/.
Burhan, F. A. (2021a, March 1). Pengguna Halodoc Naik Dua Kali Lipat, Layanan Dokter Paling Diminati. Https://Katadata.Co.Id/Digital/Startup/603cc92f0dd5d/Pengguna-Halodoc-Naik-Dua-Kali-Lipat-Layanan-Dokter-Paling-Diminati.
Burhan, F. A. (2021b, October 22). Transaksi Meroket saat Pandemi, Halodoc Masif Kembangkan Teknologi AI . Https://Katadata.Co.Id/Digital/Startup/617295e2dec74/Transaksi-Meroket-Saat-Pandemi-Halodoc-Masif-Kembangkan-Teknologi-Ai.
C.C, S., & Prathap, S. K. (2020). Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, 16(4), 351–369. https://doi.org/10.1108/IJPCC-06-2020-0069
Celik, H. (2016). Customer Online Shopping Anxiety Within the Unified Theory of Acceptance and Use Technology (UTAUT) Framework. Asia Pacific Journal of Marketing and Logistics, 28(2), 278–307.
Chiagouris, L., & Williams, M. A. (2014). If we Build it will they Stay?: User Generated Content and Website Effectiveness. Journal of Marketing Management (JMM), 2(3 & 4). https://doi.org/10.15640/jmm.v2n3-4a1
Chua, Y. P. (2023). A step-by-step guide: PLS-SEM data Analysis Using SmartPLS4. Researchtree Education.
Dewi, C. K., Mohaidin, Z., & Murshid, M. A. (2020). Determinants of online purchase intention: a PLS-SEM approach: evidence from Indonesia. Journal of Asia Business Studies, 14(3), 281–306. https://doi.org/10.1108/JABS-03-2019-0086
Hair, J. F., Hult, G. T. M., & Ringle, C. M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (Third Edition). Sage Publications.
Hasyim, H., & Suroso, R. R. P. (2020). Peranan Teknologi Informasi Dalam Upaya Pencegahan Virus COVID-19 di Lingkungan Universitas. CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro, 4(2), 124–129. https://doi.org/10.22373/crc.v4i2.6496
Inan, D. I., Hidayanto, A. N., Juita, R., Soemawilaga, F. F., Melinda, F., Puspacinantya, P., & Amalia, Y. (2023). Service quality and self-determination theory towards continuance usage intention of mobile banking. Journal of Science and Technology Policy Management, 14(2), 303–328. https://doi.org/10.1108/JSTPM-01-2021-0005
Kahttab, S. A., Al-Manasra, E. A., Zaid, M. K. S. A., & Qutaishat, F. T. (2012). Individualist, Collectivist and Gender Moderated Differences toward Online Purchase Intentions in Jordan. International Business Research, 5(8). https://doi.org/10.5539/ibr.v5n8p85
Luo, Y., & Mou, J. (2022). Understanding gender differences in mHealth apps continuance: a modified protection motivation theory. Journal of Electronic Business & Digital Economics, 1(1/2), 225–247. https://doi.org/10.1108/jebde-09-2022-0032
Panda, R., & Swar, B. N. (2016). Electronic retailing: A review of determinants of “online shopping intentions” in India. Indian Journal of Science and Technology, 9(15), 1–6.
Pascual-Miguel, F. J., Agudo-Peregrina, Á. F., & Chaparro-Peláez, J. (2015). Influences of gender and product type on online purchasing. Journal of Business Research, 68(7), 1550–1556.
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2016). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0: An Updated and Practical Guide to Statistical Analysis (First). Pearson.
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 (Second Edition). Pearson.
Sarstedt, M., & Mooi, E. (2019). A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics (Third Edition). Springer.
Sekaran, U., & Bougie, R. (2019). Research Methods for Business: A Skill Building Approach (Eight). Wiley.
Shahin, M. A. H., & Hussien, R. M. (2020). Risk perception regarding the COVID-19 outbreak among the general population: a comparative Middle East survey. Middle East Current Psychiatry, 27(1). https://doi.org/10.1186/s43045-020-00080-7
Susetiowati, S. M., Kusumadewi, M. D., & Shofura. (2022, March 16). Stigma selama Pandemi COVID-19. Https://Rsa.Ugm.Ac.Id/2022/03/Stigma-Selama-Pandemi-Covid-19/.
Published
Issue
Section
Copyright (c) 2025 Citra Kusuma Dewi, Marheni Eka Saputri, Devanka Elang Sadewa

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.





