Analysis of the Continuance Intention to Use Telemedicine Applications Mediated by Customer Satisfaction
DOI:
https://doi.org/10.61194/ijjm.v7i2.1994Keywords:
Continuance Intention, Customer Satisfaction, Perceived Enjoyment, Perceived Usefulness, Telemedicine, TrustAbstract
This study aims to analyze the factors influencing continuance intention to use telemedicine applications in Indonesia by integrating perceived usefulness, perceived ease of use, perceived enjoyment, trust, and customer satisfaction as a mediating variable within an extended Technology Acceptance Model (TAM). A quantitative research design was applied using an online questionnaire distributed to 400 telemedicine users in DKI Jakarta, consisting of respondents aged 18–55 years with a gender distribution of 54% female and 46% male. The extension of TAM in this study clarifies how hedonic (perceived enjoyment) and trust-based components enhance the explanatory power of traditional TAM constructs by capturing both utilitarian and affective determinants of post-adoption behavior an aspect often overlooked in prior telemedicine research. Results obtained through Structural Equation Modelin –Partial Least Squares (SEM-PLS) using SmartPLS 4.0 show that perceived usefulness, perceived enjoyment, and trust significantly influence continuance intention both directly and indirectly through customer satisfaction, while perceived ease of use has no significant effect. Customer satisfaction is confirmed as a central mediating variable, reinforcing the long-term use of telemedicine services. These findings align with global digital health priorities and provide practical insights for healthcare policymakers and telemedicine developers in improving user retention and optimizing post-adoption engagement in Indonesia’s digital healthcare ecosystem.
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Akdim, K., Casaló, L. V, & Flavián, C. (2022). The Role of Utilitarian and Hedonic Aspects in the Continuance Intention to Use Social Mobile Apps. Journal of Retailing and Consumer Services, 66, 102888. https://doi.org/10.1016/j.jretconser.2021.102888
Alviani, R., Purwandari, B., Eitiveni, I., & Purwaningsih, M. (2023). Factors Affecting Adoption of Telemedicine for Virtual Healthcare Services in Indonesia. Journal of Information Systems Engineering and Business Intelligence, 9(1), 47–69. https://doi.org/10.20473/jisebi.9.1.47-69
Aryadi, A., Istia, P. T., Kusuma, A., & others. (2024). Ekonomi Digital dan Transformasi Bisnis di Indonesia. Tohar Media.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
Budirahardjo, M., & Laksmidewi, D. (2022). Faktor yang mendorong intensi penggunaan dompet digital. Jurnal Aplikasi Bisnis Dan Manajemen, 8(2), 444. https://doi.org/10.17358/jabm.8.2.444
Catapan, S. D. C., & others. (2025). Trust in Digital Healthcare: A Systematic Review. NPJ Digital Medicine, 8(1). https://doi.org/10.1038/s41746-025-01510-8
Chen, Y., Li, X., & Wang, H. (2021). User continuance intention in telemedicine services. Journal of Medical Internet Research, 23(8), e27645. https://doi.org/10.2196/27645
Chrisdianti, G. O., Handayani, P. W., Azzahro, F., & Yudhoatmojo, S. B. (2023). Users’ Intention to Use Mobile Health Applications for Personal Health Tracking. Jurnal Sistem Informasi, 19(1), 1–12. https://doi.org/10.21609/jsi.v19i1.1196
Dastane, O., Goi, C. L., & Rabbanee, F. (2023). Development of perceived value scale in mobile commerce. Journal of Retailing and Consumer Services, 71, 103222. https://doi.org/10.1016/j.jretconser.2022.103222
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of IT. MIS Quarterly, 13(5). https://doi.org/10.2307/249008
Dwianto, A., & others. (2024). AI-based accounting software adoption. Advances in Accounting Innovation, 1(1), 10–11. https://doi.org/10.69725/aai.v1i1.87
Dwivedi, Y. K., & others. (2022). Continuance intention toward digital health services. Information Systems Frontiers, 24(3), 745–759. https://doi.org/10.1007/s10796-021-10167-0
Esfandiari, E., & others. (2021). Telehealth interventions and quality of life. Journal of Applied Gerontology, 40(11), 1649–1658. https://doi.org/10.1177/0733464820983630
Fandika, G., & Kusumawati, N. (2023). Telemedicine continuance intention post-COVID. Journal Integration of Management Studies, 1(2), 167–175. https://doi.org/10.58229/jims.v1i2.111
Gonu, E., & others. (2023). Customer orientation and satisfaction. Cogent Business and Management, 10(1). https://doi.org/10.1080/23311975.2022.2163797
Hair Jr, J. F., & others. (2022). A Primer on PLS-SEM (3rd ed.). Springer. https://doi.org/10.1007/978-3-030-80519-7
Hur, K., & others. (2017). Social media continuance usage. Tourism Management, 63, 170–178. https://doi.org/10.1016/j.tourman.2017.06.013
Kim, J., Jin, B., & Swinney, J. L. (2009). E-trust and e-loyalty development. Journal of Retailing and Consumer Services, 16(4), 239–247. https://doi.org/10.1016/j.jretconser.2008.11.019
Leninkumar, V. (2019). Antecedents of Customer Satisfaction. Business Research, 7(6).
Liu, H., & others. (2021). Continuance intentions of e-book apps. Frontiers in Psychology, 12, 640110. https://doi.org/10.3389/fpsyg.2021.640110
Maria, V., & Sugiyanto, L. B. (2023). Perceived usefulness and behavioral intention. Indonesian Journal of Multidisciplinary Science, 3(1), 1–7. https://doi.org/10.55324/ijoms.v3i1.702
Mashis, B. M., & others. (2023). Komunikasi digital dan perubahan sosial. Mu’ashir, 1(2), 357–386. https://doi.org/10.35878/muashir.v1i2.916
Ng, S. L., & others. (2024). Service continuance intention modelling. Asia-Pacific Journal of Business Administration, 16(2), 256–281. https://doi.org/10.1108/APJBA-08-2021-0408
Nguyen, T. T., & Nguyen, M. D. (2023). Telehealth continuance intention. Telematics and Informatics, 78, 101922. https://doi.org/10.1016/j.tele.2023.101922
Olivia, M., & Kezia, M. (2022). E-wallet continuance intention. Jurnal Teknik Industri, 24(1). https://doi.org/10.9744/jti.24.1.13-22
Pan, C. C., & others. (2005). Perceived ease of use in e-learning. Journal of Educational Computing Research, 33(3), 285–307. https://doi.org/10.2190/7M4G-R742-W9FT-JX1J
Puspita, N., & Shihab, M. S. (2023). Continuous intention mediated by satisfaction. Jurnal Scientia, 12(3), 4019–4023.
Putra, E. D., & others. (2023). ECM model in IT usage intention. Jurnal Maksipreneur, 13(1), 1–19. https://doi.org/10.30588/jmp.v13i1.1051
Shahab, F. S., & others. (2021). Continuance usage intention of m-health services. Cakrawala, 6(4). https://doi.org/10.52851/cakrawala.v6i4.457
Siagian, H., & others. (2022). Trust in digital payment. International Journal of Data and Network Science, 6(3), 861–874. https://doi.org/10.5267/j.ijdns.2022.2.010
Sulistyaningsih, I., & Nugraha, J. (2022). TAM and TTF in virtual learning. Jurnal Pendidikan Administrasi Perkantoran, 10(1), 107–123. https://doi.org/10.26740/jpap.v10n1.p107-123
Tunay, N., Yüksel, S., & Tunay, K. B. (2018). Technology and bank performance. In Advances in Finance (pp. 263–280). https://doi.org/10.4018/978-1-5225-7180-3.ch015
Venkatesh, V., & Davis, F. D. (2000). Extension of TAM. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Yan, M., & others. (2021). Health app continuance intention. Technological Forecasting and Social Change, 166, 120644. https://doi.org/10.1016/j.techfore.2021.120644
Zhou, T. (2011). Trust in mobile banking. Internet Research, 21(5), 527–540. https://doi.org/10.1108/10662241111176353
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Copyright (c) 2026 Indira Nisa Rahmi, Miguna Astuti, Alfatih Sikki Manggabarani
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
