skip to main content

Analisis Penerimaan dan Kesuksesan Aplikasi M-health pada Lansia menggunakan Model UTAUT dan Delone & McLean

*Utami Merdekawati orcid  -  Magister Sistem Informasi, Sekolah Pascasarjana, Universitas Diponegoro, Semarang, Indonesia
Dinar Mutiara Kusumo Nugraheni  -  Magister Sistem Informasi, Sekolah Pascasarjana, Universitas Diponegoro, Semarang, Indonesia
Oky Dwi Nurhayati  -  Magister Sistem Informasi, Sekolah Pascasarjana, Universitas Diponegoro, Semarang, Indonesia
Open Access Copyright (c) 2024 Jurnal Sistem Informasi Bisnis

Citation Format:
Abstract
M-health plays a crucial role in providing medical services through features like online doctor appointments. While it offers convenience, there are challenges in its adoption among the elderly. The success of M-health depends on user acceptance and continued use. Therefore, an evaluation of information technology focused on the elderly in Indonesia is necessary. Technology accepted by users is not necessarily successful, and vice versa. This study aims to identify factors influencing the acceptance and success of M-health applications among the elderly. It combines the UTAUT and Delone & McLean models to investigate acceptance and success factors. The variables used are performance expectancy, effort expectancy, information quality, system quality, service quality, user satisfaction, and continuance intention. The PLS-SEM method is used to process respondent data. Analysis result shows that 61.6% of elderly users' satisfaction with M-health is influenced by information quality, service quality, performance expectancy, and effort expectancy. Meanwhile, 59.4% of the continuance intention is influenced by user satisfaction. This indicates that the application is well received and successful because it provides a satisfying experience. This study confirms that the combination of the UTAUT and Delone & McLean models is adequate.
Fulltext View|Download
Keywords: UTAUT; Delone & Mclean; Penerimaan Sistem Informasi; Kesuksesan Sistem Informasi; M-health; Lansia

Article Metrics:

  1. Andria, F., Deranti, M., Sari, L.M., Mihradi, R.M., Bon, A.T., 2021. Indonesian Health Insurance: Application Of Digital Mobile Technology. IEOM Society International, 4027-4037
  2. Bayastura, S.F., Warsito, B., Nugraheni, D.M.K., 2022. Integration of UTAUT 2 and Delone & McLean to Evaluate Acceptance of Video Conference Application. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 6(2), 198-217. https://doi.org/10.29407/intensif.v6i2.17897
  3. Bitaraf, S., Janani, L., Hajebi, A., Motevalian, S.A., 2022. Information System Success of the Iranian Integrated Health Record System Based on the Clinical Information System Success Model. Medical Journal of the Islamic Republic of Iran, 36(1), 1-8. https://doi.org/10.47176/mjiri.36.25
  4. Carboni, C., Wehrens, R., Veen, R.V.D., Bont, A.D., 2022. Conceptualizing the Digitalization of Healthcare Work: A Metaphor-Based Critical Interpretive Synthesis. Social Science & Medicine, 292, 114572. https://doi.org/10.1016/j.socscimed.2021.114572
  5. DeLone, W.H., McLean, E.R., 2003. The DeLone and McLean model of information systems success: A ten-year update. International Journal of Electronic Commerce, 19, 9–30. https://doi.org/10.1080/07421222.2003.11045748
  6. Elburg, F.R.T.V., Klaver, N.S., Nieboer, A.P., Askari, M., 2022. Gender Differences Regarding Intention to Use Mhealth Applications in the Dutch Elderly Population: A Cross-Sectional Study. BMC Geriatrics, 22(449), 1-11. https://doi.org/10.1186/s12877-022-03130-3
  7. Ellis, M.E., Downey, J.P., Chen, A.N., Lu, H.-K., 2021. Why Taiwanese Seniors Use Technology. Asia Pacific Management Review, 26(3), 149-159. https://doi.org/10.1016/j.apmrv.2021.01.001
  8. Feroz, I., Good, A., Omisade, O., 2023. Identification of Critical Success Factors in Adoption of Health IT Services from Older People’s Perspective. ICHMI 2023: 2023 3rd International Conference on Human Machine Interaction, 35-42. https://doi.org/10.1145/3604383.3604389
  9. Firdausi, A.S., Nuryana, I.K.D., 2023. Analisis Penerimaan Teknologi dan Kesuksesan Aplikasi ULA Pada Pelaku UMKM di Surabaya Menggunakan Metode UTAUT dan Delone & Mclean. JEISBI: Journal of Emerging Information System and Business Intelligence, 4(1), 91–99
  10. Guo, M., Lyu, L., 2023. A Scale to Measure the Perceived Quality of Mhealth by Elderly Patients with Hypertension in China. BMC Health Services Research, 23(351), 1-13. https://doi.org/10.1186/s12913-023-09357-z
  11. Haikal, F., Tyas, N.K., Felcia, X.D., Sundaram, D., 2022. User Acceptance Analysis of the E-Health Information System Using UTAUT2 Method. Journal of Theoretical and Applied Information Technology, 100(7), 2193-2206
  12. Handayani, P.W., Indriani, R., Pinem, A.A., 2021. Mobile Health Readiness Factors: from the Perspectives of Mobile Health Users in Indonesia. Informatics in Medicine Unlocked, 24, 100590. https://doi.org/10.1016/j.imu.2021.100590
  13. Khotimah, N., 2022. Pengaruh Kualitas Sistem, Kualitas Layanan, dan Kualitas Informasi Pada Aplikasi Mobile JKN Terhadap Kepuasan Peserta BPJS Kesehatan di Wilayah Jabodetabek. Jurnal Akuntansi dan Manajemen Bisnis, 2(2), 69-76. https://doi.org/10.56127/jaman.v2i2.182
  14. Liang, S., Siahaan, M., Jocelyn, J., 2024. Analisis Kesuksesan Aplikasi M-Paspor di Kota Batam dengan Menggunakan Model Delone dan Mclean. Jurnal Sistem Informasi Bisnis, 14(1), 38–45. https://doi.org/10.21456/vol14iss1pp38-45
  15. Liu, Y., Lu, X., Zhao, G., Li, C., Shi, J., 2022. Adoption of Mobile Health Services Using the Unified Theory of Acceptance and Use of Technology Model: Self-Efficacy and Privacy Concerns. Frontiers in Psychology, 13, 944976. https://doi.org/10.3389/fpsyg.2022.944976
  16. Mirandi, F.H., Tricahyono, D., 2023. Analysis of Acceptance and Success of Digipos Aja Telkomsel in Kalimantan Region Using the Integration of
  17. UTAUT and DeLone & McLean Models. International Journal of Social Service and Research, 3(10), 2574-2585. https://doi.org/10.46799/ijssr.v3i10.554
  18. Palas, J.U., Sorwar, G., Hoque, M.R., Sivabalan, A., 2022. Factors Influencing the Elderly’s Adoption of Mhealth: An Empirical Study Using Extended UTAUT2 Model. BMC Medical Informatics and Decision Making, 22(191), 1-21. https://doi.org/10.1186/s12911-022-01917-3
  19. Pramudita, E., Achmadi, H., Nurhaida, H., 2023. Determinants of Behavioral Intention Toward Telemedicine Services Among Indonesian Gen-Z and Millenials: a PLS–SEM Study on Alodokter Application. Journal of Innovation and Entrepreneurship, 12(68), 1-21. https://doi.org/10.1186/s13731-023-00336-6
  20. Shim, M., Jo, H.S., 2020. What Quality Factors Matter in Enhancing the Perceived Benefits of Online Health Information Sites? Application of the Updated Delone and Mclean Information Systems Success Model. International Journal of Medical Informatics, 137, 104093. https://doi.org/10.1016/j.ijmedinf.2020.104093
  21. Sholihah, E., Antari, I.S.W., Rochimawati, R.F., Ulwiyyah, 2023. Determinants of BSI Mobile Banking Adoption Intentions: Delone & Mclean and UTAUT Model Integration with Religiosity. Asian Journal of Islamic Management (AJIM), 5(1), 1-17. https://doi.org/10.20885/AJIM.vol5.iss1.art1
  22. Sofyani, H., 2023. Penentuan Jumlah Sampel pada Penelitian Akuntansi dan Bisnis Berpendekatan Kuantitatif. Reviu Akuntansi dan Bisnis Indonesia, 7(2), 311-319. https://doi.org/10.18196/rabin.v7i2.19031
  23. Song, T., Deng, N., Cui, T., Qian, S., Liu, F., Guan, Y., Yu, P., 2021. Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation. Journal of Medical Internet Research, 23(7), 1-14. https://doi.org/10.2196/26670
  24. Sugesti, D., Hidayati, U., Sugiarti, S., 2020. Apakah Model Delone dan Mclean Mampu Menjelaskan Keberhasilan Sistem Informasi JKN Mobile?. Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS), 3(1), 80-88. https://doi.org/10.32497/akunbisnis.v3i1.1973
  25. Tessema, W.M., Cavus, N., 2024. Determining Information System End-User Satisfaction and Continuance Intension with A Unified Modeling Approach. Scientific Reports, 14(6882), 1-18. https://doi.org/10.1038/s41598-024-57218-4
  26. Thabet, Z., Albashtawi, S., Ansari, H., Al-Emran, M., Al-Sharafi, M.A., AlQudah, A.A., 2023. Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM–ANN Approach. IEEE Transactions on Engineering Management, 1-13. https://doi.org/10.1109/TEM.2023.3296132
  27. Udeozor, C., Russo-Abegão, F., Glassey, J., 2023. Perceptions and factors affecting the adoption of digital games for engineering education: a mixed -method research. International Journal of Educational Technology in Higher Education, 20, 1-20. https://doi.org/10.1186/s41239-022-00369-z
  28. Vaddhano, N., 2023. Continuance Intention of Mobile Banking Applications in Indonesia: Integrated TAM-Delone and Mclean Model. International Journal of Economics, Business and Management Research, 07, 01–22. https://doi.org/10.51505/IJEBMR.2023.71201
  29. Wang, T., Wang, W., Liang, J., Nuo, M., Wen, Q., Wei, W., Han, H., Lei, J., 2022. Identifying Major Impact Factors Affecting the Continuance Intention of Mhealth: A Systematic Review and Multi-Subgroup Meta-Analysis. NJP Digital Medicine, 5(145), 1-13. https://doi.org/10.1038/s41746-022-00692-9
  30. Wu, P., Zhang, R., Zhu, X., Liu, M., 2022. Factors Influencing Continued Usage Behavior on Mobile Health Applications. Healthcare, 10(2), 1-18. https://doi.org/10.3390/healthcare10020208
  31. Yang, C.-C., Yang, S.-Y., Chang, Y.-C., 2023. Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model. International Journal of Environmental Research and Public Health, 20(2), 1391. https://doi.org/10.3390/ijerph20021391
  32. Yap, Y.-Y., Tan, S.-H., Choon, S.-W., 2022. Elderly’s Intention to Use Technologies: A Systematic Literature Review. Heliyon, 8(1), e08765. https://doi.org/10.1016/j.heliyon.2022.e08765

Last update:

No citation recorded.

Last update: 2024-11-20 21:30:28

No citation recorded.