Analisis Penerimaan dan Penggunaan Jamsostek Mobile Menggunakan UTAUT Model Modifikasi
Keywords:
Jamsostek Mobile, UTAUT Model, Behavioral Intention, Use Behavior
Abstract
This study aims to analyze the factors that influence behavior intention for and use behavior of the Jamsostek Mobile application with a focus on the variables of performance expectancy, effort expectancy, social influence, facilitating conditions, habit, and perceived trust. The sampling technique used in this study was purposive sampling so that 160 respondents were obtained. The results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, and perceived trust have a positive and significant effect on behavioral intention. Behavioral intention has a positive and significant effect on use behavior. Behavioral intention is able to mediate the effect of performance expectancy, effort expectancy, social influence, facilitating conditions, habit and perceived trust on use behavior. User characteristics such as gender, age, education level, occupation, and length of membership play an important role in determining the active user base of the Mobile Social Security application, with specific demographics dominant among active users.
References
Abdul Khalil, N. M., Mohd Mydin, F. H., & Moy, F. M. (2023). Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PloS One, 18(11), e0292390. https://doi.org/10.1371/journal.pone.0292390
Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. (2022). Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 1–29. https://doi.org/10.3390/joitmc8030120
Akbar, R. P., & Armansyah, R. F. (2023). Perilaku Keuangan Generasi Z Berasarkan Literasi. Jurnal Ilmiah Manajemen Dan Bisnis, 2(2), 107–124.
Akinnuwesi, B. A., Uzoka, F. M. E., Fashoto, S. G., Mbunge, E., Odumabo, A., Amusa, O. O., Okpeku, M., & Owolabi, O. (2022). A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19. Sustainable Operations and Computers, 3(November 2021), 118–135. https://doi.org/10.1016/j.susoc.2021.12.001
Al-Mamary, Y. H. S. (2022). Understanding the use of learning management systems by undergraduate university students using the UTAUT model: Credible evidence from Saudi Arabia. International Journal of Information Management Data Insights, 2(2), 1–11. https://doi.org/10.1016/j.jjimei.2022.100092
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62(September 2019), 1–10. https://doi.org/10.1016/j.techsoc.2020.101293
Alam, M. Z., Hu, W., Kaium, M. A., Hoque, M. R., & Alam, M. M. D. (2020). Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach. Technology in Society, 61(2), 1–48. https://doi.org/10.1016/j.techsoc.2020.101255
Albayati, H., Alistarbadi, N., & Rho, J. J. (2023). Assessing engagement decisions in NFT Metaverse based on the Theory of Planned Behavior (TPB). Telematics and Informatics Reports, 10(February), 1–14. https://doi.org/10.1016/j.teler.2023.100045
Alhadid, I., Abu-Taieh, E., Alkhawaldeh, R. S., Khwaldeh, S., Masa’deh, R., Kaabneh, K., & Alrowwad, A. (2022). Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk. International Journal of Environmental Research and Public Health, 19(14), 1–26. https://doi.org/10.3390/ijerph19148281
Ali, M. B., Tuhin, R., Alim, M. A., Rokonuzzaman, M., Rahman, S. M., & Nuruzzaman, M. (2022). Acceptance and use of ICT in tourism: the modified UTAUT model. Journal of Tourism Futures, 5(1), 1–16. https://doi.org/10.1108/JTF-06-2021-0137
Ali, N., Nakayama, S., & Yamaguchi, H. (2023). Using the extensions of the theory of planned behavior (TPB) for behavioral intentions to use public transport (PT) in Kanazawa, Japan. Transportation Research Interdisciplinary Perspectives, 17(January), 100742. https://doi.org/10.1016/j.trip.2022.100742
Alkhowaiter, W. A. (2022). Use and behavioural intention of m-payment in GCC countries: Extending meta-UTAUT with trust and Islamic religiosity. Journal of Innovation and Knowledge, 7(4), 100240. https://doi.org/10.1016/j.jik.2022.100240
Alrawad, M., Lutfi, A., Almaiah, M. A., & Elshaer, I. A. (2023). Examining the influence of trust and perceived risk on customers intention to use NFC mobile payment system. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 1–11. https://doi.org/10.1016/j.joitmc.2023.100070
Arikunto, S. (2020). Prosedur Penelitian Suatu Pendekatan Praktik. Rineka Cipta.
Ateş, H., & Garzón, J. (2022). Drivers of teachers’ intentions to use mobile applications to teach science. Education and Information Technologies, 27(2), 2521–2542. https://doi.org/10.1007/s10639-021-10671-4
Baber, R., Baber, P., & Narula, S. (2024). Examining the moderating role of online celebrity trustworthiness and risk propensity in UTAUT2 framework: A mixed-method approach. International Journal of Information Management Data Insights, 4(2), 1–14. https://doi.org/10.1016/j.jjimei.2024.100239
Barbera, F. La, & Ajzen, I. (2020). Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology, 16(3), 401–417. https://doi.org/10.5964/ejop.v16i3.2056
Chopdar, P. K., Paul, J., & Prodanova, J. (2022). Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: Does social influence matter? Technological Forecasting and Social Change, 174(April 2021), 121249. https://doi.org/10.1016/j.techfore.2021.121249
Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. (2022). Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 1–29. https://doi.org/10.3390/joitmc8030120
Akbar, R. P., & Armansyah, R. F. (2023). Perilaku Keuangan Generasi Z Berasarkan Literasi. Jurnal Ilmiah Manajemen Dan Bisnis, 2(2), 107–124.
Akinnuwesi, B. A., Uzoka, F. M. E., Fashoto, S. G., Mbunge, E., Odumabo, A., Amusa, O. O., Okpeku, M., & Owolabi, O. (2022). A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19. Sustainable Operations and Computers, 3(November 2021), 118–135. https://doi.org/10.1016/j.susoc.2021.12.001
Al-Mamary, Y. H. S. (2022). Understanding the use of learning management systems by undergraduate university students using the UTAUT model: Credible evidence from Saudi Arabia. International Journal of Information Management Data Insights, 2(2), 1–11. https://doi.org/10.1016/j.jjimei.2022.100092
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62(September 2019), 1–10. https://doi.org/10.1016/j.techsoc.2020.101293
Alam, M. Z., Hu, W., Kaium, M. A., Hoque, M. R., & Alam, M. M. D. (2020). Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach. Technology in Society, 61(2), 1–48. https://doi.org/10.1016/j.techsoc.2020.101255
Albayati, H., Alistarbadi, N., & Rho, J. J. (2023). Assessing engagement decisions in NFT Metaverse based on the Theory of Planned Behavior (TPB). Telematics and Informatics Reports, 10(February), 1–14. https://doi.org/10.1016/j.teler.2023.100045
Alhadid, I., Abu-Taieh, E., Alkhawaldeh, R. S., Khwaldeh, S., Masa’deh, R., Kaabneh, K., & Alrowwad, A. (2022). Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk. International Journal of Environmental Research and Public Health, 19(14), 1–26. https://doi.org/10.3390/ijerph19148281
Ali, M. B., Tuhin, R., Alim, M. A., Rokonuzzaman, M., Rahman, S. M., & Nuruzzaman, M. (2022). Acceptance and use of ICT in tourism: the modified UTAUT model. Journal of Tourism Futures, 5(1), 1–16. https://doi.org/10.1108/JTF-06-2021-0137
Ali, N., Nakayama, S., & Yamaguchi, H. (2023). Using the extensions of the theory of planned behavior (TPB) for behavioral intentions to use public transport (PT) in Kanazawa, Japan. Transportation Research Interdisciplinary Perspectives, 17(January), 100742. https://doi.org/10.1016/j.trip.2022.100742
Alkhowaiter, W. A. (2022). Use and behavioural intention of m-payment in GCC countries: Extending meta-UTAUT with trust and Islamic religiosity. Journal of Innovation and Knowledge, 7(4), 100240. https://doi.org/10.1016/j.jik.2022.100240
Alrawad, M., Lutfi, A., Almaiah, M. A., & Elshaer, I. A. (2023). Examining the influence of trust and perceived risk on customers intention to use NFC mobile payment system. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 1–11. https://doi.org/10.1016/j.joitmc.2023.100070
Arikunto, S. (2020). Prosedur Penelitian Suatu Pendekatan Praktik. Rineka Cipta.
Ateş, H., & Garzón, J. (2022). Drivers of teachers’ intentions to use mobile applications to teach science. Education and Information Technologies, 27(2), 2521–2542. https://doi.org/10.1007/s10639-021-10671-4
Baber, R., Baber, P., & Narula, S. (2024). Examining the moderating role of online celebrity trustworthiness and risk propensity in UTAUT2 framework: A mixed-method approach. International Journal of Information Management Data Insights, 4(2), 1–14. https://doi.org/10.1016/j.jjimei.2024.100239
Barbera, F. La, & Ajzen, I. (2020). Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology, 16(3), 401–417. https://doi.org/10.5964/ejop.v16i3.2056
Chopdar, P. K., Paul, J., & Prodanova, J. (2022). Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: Does social influence matter? Technological Forecasting and Social Change, 174(April 2021), 121249. https://doi.org/10.1016/j.techfore.2021.121249
