Open Access
| Issue |
BIO Web Conf.
Volume 217, 2026
The Third Makassar International Conference on Sports Science and Health (MICSSH 2025)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 11 | |
| Section | Healthcare Systems, Technology & Community Policy | |
| DOI | https://doi.org/10.1051/bioconf/202621703001 | |
| Published online | 06 February 2026 | |
- Handayani PW, Meigasari DA, Pinem AA, Hidayanto AN, Ayuningtyas D. Critical success factors for mobile health implementation in Indonesia. Heliyon. 2018;4:e00981. [Google Scholar]
- Rahmawati D, Febisatria A, Liliyan A. [Analysis of consumer perception of the use of the Mobile JKN application]. J Innovat Econ Manag. 2024;2(2):384–394. [Google Scholar]
- BPJS Kesehatan. [Social Security Organizing Agency: Health insurance benefits]. 2025 [cited 2025 Aug 29]. Available from: https://www.bpjs-kesehatan.go.id/#/jaminan-kesehatan-manfaat. [Google Scholar]
- BPS-Statistics of Sulawesi Selatan Province. [Percentage of population having health insurance by regency/city and type of insurance in South Sulawesi Province, 2023]. 2023 [cited 2025 Aug 21]. Available from: https://sulsel.bps.go.id/. [Google Scholar]
- Handayani PW, Indriani R, Pinem AA. Mobile health readiness factors: From the perspectives of mobile health users in Indonesia. Inform Med Unlocked. 2021;24:100590. [Google Scholar]
- Wahyudi W, Mukhsin M, Nupus H. [Increasing Intention to Use the Mobile JKN application through Perceived Usefulness and Attitude Towards Use as intervening variables]. J Riset Bisnis Manaj Tirtayasa. 2021;5(1):98–116. [Google Scholar]
- Brahmayudha RA, Legowo N. Examining the drivers of sustained telemedicine utilization in Indonesia: An extended UTAUT perspective. J Logist Inform Serv Sci. 2024;11(10):135–152. [Google Scholar]
- Suroso JS, Sukmoro TC. Factors affecting behavior of the use of healthcare mobile application technology in Indonesian society. J Theor Appl Inf Technol. 2021;15(15). [Google Scholar]
- Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS Q. 2003;27(3):425–478. [CrossRef] [Google Scholar]
- Pratama A, Ridwandono D, Amini A. [Analysis of acceptance factors of the Mobile JKN application using the UTAUT2 model]. [Thesis/Proceedings]. 2021. [Google Scholar]
- Anunggita Y, Suryadi A. Analysis of user acceptance of the mobile application of National Health Insurance using the UTAUT model. J La Multiapp. 2024;5(5):568–580. [Google Scholar]
- Hiswara A, Rejeki S, Kustanto P. [Mobile application analysis using the UTAUT (Unified Theory of Acceptance and Use of Technology) method]. [Conference Paper/Journal]. 2017. [Google Scholar]
- Syamsuar D, Al Reza S. Analysis of user acceptance of the mobile application of national health insurance using the Unified Theory of Acceptance and Use of Technology (UTAUT) method. J TAM (Technol Accept Model). 2022;13(2). [Google Scholar]
- AlHadid, I.; Abu-Taieh, E.; Alkhawaldeh, R.S.; Khwaldeh, S.; Masa’deh, R.; Kaabneh, K.; Alrowwad, A. Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk. Int. J. Environ. Res. Public Health 2022, 19, 8281. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.