Faktor Faktor yang Memengaruhi Use Behavior Pengguna Fintech Crowdfunding Melalui Behavioral Intention
DOI:
https://doi.org/10.63822/6884qj34Keywords:
performance expectancy, effort expectancy, social influence, facilitating conditions, perceived trust, hedonic motivation, behavioral intention, use behavior, fintech crowdfundingAbstract
The development of Fintech Crowdfunding in Indonesia has made it easier for people to conduct donations and social financing activities digitally. However, the level of continued use is still influenced by various psychological, social, and technological factors, especially among Generation Z as the largest digital user group. This study aims to analyze the influence of performance expectations, effort expectations, social influence, facilitating conditions, perceived risk, perceived trust, and hedonic motivation on behavioral intentions and their impact on the usage behavior of fintech crowdfunding users, with behavioral intentions as a mediating variable, on the Kitabisa platform. This study uses a quantitative approach with a survey method through a questionnaire to Generation Z users who have used the Kitabisa platform. The data analysis technique uses Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test the direct and indirect relationships between variables. The results show that performance expectations, effort expectations, social influence, facilitating conditions, perceived trust, and hedonic motivation have a positive effect on behavioral intentions, while perceived risk has a negative effect on behavioral intentions. Furthermore, behavioral intentions are proven to have a positive and significant effect on usage behavior. The results of the mediation test indicate that behavioral intention is able to mediate the influence of all independent variables on usage behavior, both fully and partially. This finding suggests that fintech crowdfunding usage behavior is influenced not only by technological factors, but also by trust, risk perception, and user emotional motivation. Therefore, improving system quality, transparency, security, and user emotional experience are important factors in driving the desire to use fintech crowdfunding platforms.
Downloads
References
Afif, N., Purwantini, A. H., & Muhdiyanto. (2023). The Paradox of Perceived Risk and Trust on Intention to Use Fintech Payment: Evidence in MSMEs. In Z. B. Pambuko, C. B. Edhita Praja, L. Muliawanti, V. S. Dewi, M. Setiyo, F. Yuliastuti, & A. Setiawan (Eds.), Proceedings of the 3rd Borobudur International Symposium on Humanities and Social Science 2021 (BIS-HSS 2021) (Vol. 667, pp. 645–648). Atlantis Press SARL. https://doi.org/10.2991/978-2-494069-49-7_106
Afifah, K., Abu-Hussin, M. F., & Zafar, M. B. (2025). Transforming Islamic social finance: Determinants of blockchain technology adoption for zakat payment.
Al Nawayseh, M. K. (2020). FinTech in COVID-19 and Beyond: What Factors Are Affecting Customers’ Choice of FinTech Applications? Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 153. https://doi.org/10.3390/joitmc6040153
Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28–44. https://doi.org/10.1016/j.ijinfomgt.2019.04.008
Al-Azawei, A., & Alowayr, A. (2020a). Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries. Technology in Society, 62, 101325. https://doi.org/10.1016/j.techsoc.2020.101325
Al-Azawei, A., & Alowayr, A. (2020b). Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries. Technology in Society, 62, 101325. https://doi.org/10.1016/j.techsoc.2020.101325
Al-Edrus, S. A. S., Ahmad, I., & Hanafiah, M. H. (2023). Will you be a Honey and Help Us Raise Money?: Investigating Online Crowdfunding Platforms Acceptance, Perceived Trust and Behavioural Intention. 22(1).
Alomari, A. S. A., & Abdullah, N. L. (2023). Factors influencing the behavioral intention to use Cryptocurrency among Saudi Arabian public university students: Moderating role of financial literacy. Cogent Business & Management, 10(1), 2178092. https://doi.org/10.1080/23311975.2023.2178092
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, 101293. https://doi.org/10.1016/j.techsoc.2020.101293
Al-Sharafi, M. A., Muhammed, I., Alzaeemi, S., Albashrawi, M. A., Chae, I., & Dwivedi, Y. K. (2025). Factors shaping FinTech adoption: A systematic review, key determinants, theoretical insights, conceptual framework and future research directions. Information Discovery and Delivery. https://doi.org/10.1108/IDD-04-2025-0098
Alshebami, A. S. (2022a). Crowdfunding Platforms as a Substitute Financing Source for Young Saudi Entrepreneurs: Empirical Evidence. Sage Open, 12(3), 21582440221126511. https://doi.org/10.1177/21582440221126511
Alshebami, A. S. (2022b). Crowdfunding Platforms as a Substitute Financing Source for Young Saudi Entrepreneurs: Empirical Evidence. Sage Open, 12(3), 21582440221126511. https://doi.org/10.1177/21582440221126511
Alsmadi, A. A., Aalrawashdeh, N., Al-Gasaymeh, A., Al_hazimeh, A. M., & Alhawamdeh, L. (2024). Adoption of Islamic Fintech in lending services through prediction of behavioural intention. Kybernetes, 53(6), 1921–1938. https://doi.org/10.1108/K-10-2022-1362
AMBARWATI, R., HARJA, Y. D., & THAMRIN, S. (2020). The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform. The Journal of Asian Finance, Economics and Business, 7(10), 481–489. https://doi.org/10.13106/JAFEB.2020.VOL7.NO10.481
Amnas, M. B., Selvam, M., Raja, M., Santhoshkumar, S., & Parayitam, S. (2023). Understanding the Determinants of FinTech Adoption: Integrating UTAUT2 with Trust Theoretic Model. Journal of Risk and Financial Management, 16(12), 505. https://doi.org/10.3390/jrfm16120505
An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2023). Modeling English teachers’ behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 28(5), 5187–5208. https://doi.org/10.1007/s10639-022-11286-z
Anggun Adilah Maharani & Tika Widiastuti. (2023). Determinants of Crowdfunder Intention on Using The Crowdfunding-Waqf Model: A Case Study of Kitabisa.Com Applications. Jurnal Ekonomi Syariah Teori Dan Terapan, 10(3), 290–304. https://doi.org/10.20473/vol10iss20233pp290-304
APJII 2025. (n.d.).
Bajunaied, K., Hussin, N., & Kamarudin, S. (2023). Behavioral intention to adopt FinTech services: An extension of unified theory of acceptance and use of technology. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100010. https://doi.org/10.1016/j.joitmc.2023.100010
Bayaga, A., & Du Plessis, A. (2024). Ramifications of the Unified Theory of Acceptance and Use of Technology (UTAUT) among developing countries’ higher education staffs. Education and Information Technologies, 29(8), 9689–9714. https://doi.org/10.1007/s10639-023-12194-6
Bouteraa, M. (2024). Mixed-methods approach to investigating the diffusion of FinTech services: Enriching the applicability of TOE and UTAUT models. Journal of Islamic Marketing, 15(8), 2036–2068. https://doi.org/10.1108/JIMA-12-2022-0343
Candra, S., Frederica, E., Putri, H. A., & Loang, O. K. (2025). The UTAUT approach to Indonesia’s behavioral intention to use mobile health apps. Journal of Science and Technology Policy Management, 16(5), 892–911. https://doi.org/10.1108/JSTPM-10-2022-0175
Chaveesuk, S., Khalid, B., Bsoul-Kopowska, M., Rostańska, E., & Chaiyasoonthorn, W. (2022). Comparative analysis of variables that influence behavioral intention to use MOOCs. PLOS ONE, 17(4), e0262037. https://doi.org/10.1371/journal.pone.0262037
Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256
Chawla, U., Mohnot, R., Singh, H. V., & Banerjee, A. (2023). The Mediating Effect of Perceived Trust in the Adoption of Cutting-Edge Financial Technology among Digital Natives in the Post-COVID-19 Era. Economies, 11(12), 286. https://doi.org/10.3390/economies11120286
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. https://www.researchgate.net/profile/Wynne-Chin/publication/311766005_The_Partial_Least_Squares_Approach_to_Structural_Equation_Modeling/links/0deec533e0f7c00f59000000/The-Partial-Least-Squares-Approach-to-Structural-Equation-Modeling.pdf
Deni, R. S. R., & Nurlinda, R. A. (2022). ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI BEHAVIORALINTENTIONDAN USEBEHAVIOR PADA APLIKASI TIKTOK SHOP. Jurnal Ekonomi Volume 13 Nomor 2, 239–247.
Desvira, N. S., Aransyah, M. F., & Mulawarman, U. (2023). Analisis Faktor-Faktor yang Memengaruhi Minat dan Perilaku Penggunaan Fitur ShopeePay Menggunakan Model Unified Theory of Acceptance and Use of Technology (UTAUT2). 12.
Devi, P., & Shunmugasundaram, V. (2025). Understanding adoption intention and perceived satisfaction of startup entrepreneurs towards FinTech services. https://doi.org/10.1108/JM2-02-2025-0082
DompetDhuafa. (2016, June 20). Kerjasama Channel Pembayaran Zakat dan Donasi Bersama Kitabisa.com. Kerjasama Channel Pembayaran Zakat Dan Donasi Dengan Kitabisa.Com. https://www.dompetdhuafa.org/kerjasama-channel-pembayaran-zakat-dan-donasi-dengan-kitabisa-com/
Duong, C. D., Bui, D. T., Pham, H. T., Vu, A. T., & Nguyen, V. H. (2024). How effort expectancy and performance expectancy interact to trigger higher education students’ uses of ChatGPT for learning. Interactive Technology and Smart Education, 21(3), 356–380. https://doi.org/10.1108/ITSE-05-2023-0096
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Featherman, M. S., & Pavlou, P. A. (2003a). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Featherman, M. S., & Pavlou, P. A. (2003b). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
FISIPOL, U. (2017, July 26). Kitabisa.com, Solusi Sosial Berbasis Crowdfunding. https://fisipol.ugm.ac.id/kitabisacom-solusi-sosial-berbasis-crowdfunding/
Fitrianie, S., Horsch, C., Beun, R. J., Griffioen-Both, F., & Brinkman, W.-P. (2021). Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis. Journal of Medical Systems, 45(12), 110. https://doi.org/10.1007/s10916-021-01785-w
Ha, M. T., Tran, K. T., Sakka, G., & Ahmed, Z. U. (2024). Understanding perceived risk factors toward mobile payment usage by employing extended technology continuance theory: A Vietnamese consumers’ perspective. Journal of Asia Business Studies, 18(1), 158–182. https://doi.org/10.1108/JABS-01-2023-0025
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second edition). SAGE.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727X.2015.1005806
Hamidah, N. N., Aligarh, F., Setiawan, A., Usnan, U., & Hilmi, F. (2024). Why do Indonesian Muslims Donate through Crowdfunding Platforms? An Integration of UTAUT, Transparency, and Trust. International Journal of Islamic Economics and Finance (IJIEF), 7(2), 267–288. https://doi.org/10.18196/ijief.v7i2.22556
Islam, M. T., & Khan, M. T. A. (2021). Factors influencing the adoption of crowdfunding in Bangladesh: A study of start-up entrepreneurs. Information Development, 37(1), 72–89. https://doi.org/10.1177/0266666919895554
Kompasiana. (2022, June 10). Inilah Penyebab Rendahnya Partisipasi Masyarakat terhadap Platform Equity Crowdfunding. https://www.kompasiana.com/febria_adhani04/62a376e62098ab3e66682842/memasuki-era-ekonomi-modern-inilah-penyebab-rendahnya-partisipasi-masyarakat-indonesia-terhadap-platform-equity-crowdfunding
Kuen, L., Westmattelmann, D., Bruckes, M., & Schewe, G. (2023). Who earns trust in online environments? A meta-analysis of trust in technology and trust in provider for technology acceptance. Electronic Markets, 33(1), 61. https://doi.org/10.1007/s12525-023-00672-1
Kumar, J., Rani, M., Rani, G., & Rani, V. (2024). Crowdfunding adoption in emerging economies: Insights for entrepreneurs and policymakers. Journal of Small Business and Enterprise Development, 31(1), 55–73. https://doi.org/10.1108/JSBED-05-2023-0204
kumparan.com. (2021, Desember). Influencer dan Pengaruhnya: Mengkaji Fenomena Donasi di Masyarakat. Influencer Dan Pengaruhnya: Mengkaji Fenomena Donasi Di Masyarakat. https://kumparan.com/sandra-gisela-tandiono/influencer-dan-pengaruhnya-mengkaji-fenomena-donasi-di-masyarakat-1x5K1LHmLc0/4
Mahesa Yahya, L., Purwati, S., Patra Pertiwi, T., Hendra, & Suradi, A. (2023). Application of EUCS and UTAUT Method to Analyze The Implementation of Donation-Based Crowdfunding System for Fundraising Mobile Applications. Jurnal Informasi Dan Teknologi, 165–170. https://doi.org/10.60083/jidt.v5i4.433
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81
Meiranto, W., Farlyagiza, F., Faisal, F., Nur Afri Yuyetta, E., & Puspitasari, E. (2024). The mediating role of behavioral intention on factors influencing user behavior in the E-government state financial application system at the Indonesian Ministry of Finance. Cogent Business & Management, 11(1), 2373341. https://doi.org/10.1080/23311975.2024.2373341
Methlagl, M., Michlmayr, F., & Perillo, V. (2023). Technological Trust Perceptions in Wearable Fitness Technology: A Person-Centred Approach. Journal of Technology in Behavioral Science, 8(4), 392–401. https://doi.org/10.1007/s41347-023-00320-7
netralnews. (2025, July 12). Edukasi Pemanfaatan Crowdfunding untuk ZIS melalui Platform Kitabisa.com. Edukasi Pemanfaatan Crowdfunding Untuk ZIS Melalui Platform Kitabisa.Com. https://www.netralnews.com/edukasi-pemanfaatan-crowdfunding-untuk-zis-melalui-platform-kitabisacom/SHFjWjYxdWE4Q0txV3lMWEF5ekF5QT09
Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2021). Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet. Computers and Education Open, 2, 100041. https://doi.org/10.1016/j.caeo.2021.100041
Nuari, E. S., Nurkhin, A., & Kardoyo, K. (2019). ANALISIS DETERMINAN PEMANFAATAN EDMODO DENGAN MENGGUNAKAN UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT). Jurnal Pendidikan Akuntansi Indonesia, 17(1), 57–73. https://doi.org/10.21831/jpai.v17i1.26337
Ofosu-Ampong, K., Asmah, A., Kani, J. A., & Bibi, D. (2023). Determinants of digital technologies adoption in government census data operations. Digital Transformation and Society, 2(3), 293–315. https://doi.org/10.1108/DTS-11-2022-0056
Permatasari, I. A., Madiawati, P. N., & Pradana, M. (2025). The Influence of Performance Expectations, Effort Expectations, Supportive Conditions, Social Influence, Risk, and Trust on Usage Behavior with Behavioral Intent as a Mediator (Case Study of MYBCA Adoption Among Generation Z). East Asian Journal of Multidisciplinary Research, 4(8), 3997–4016. https://doi.org/10.55927/eajmr.v4i8.334
Popova, Y., & Zagulova, D. (2022). UTAUT Model for Smart City Concept Implementation: Use of Web Applications by Residents for Everyday Operations. Informatics, 9(1), 27. https://doi.org/10.3390/informatics9010027
PPATK. (2023, November 6). Kenali Indikator Risiko Penyalahgunaan Crowdfunding untuk Pendanaan Terorisme bagi Aparat Penegak Hukum. Kenali Indikator Risiko Penyalahgunaan Crowdfunding untuk Pendanaan Terorisme bagi Aparat Penegak Hukum. https://www.ppatk.go.id/pengumuman/read/1300/kenali-indikator-risiko-penyalahgunaan-crowdfunding-untuk-pendanaan-terorisme-bagi-aparat-penegak-hukum.html
Priyadi, L., & Sinaga, A. R. (2025). Analisis Faktor yang Mempengaruhi Intensi dan Perilaku Pengguna BRImo dengan Model UTAUT 2 di Bandung. 7(1).
Putri, D. M., & Sundari, E. (2024). Analisis Penerapan Model UTAUT2 (Unified Theory of Acceptance and Use of Technology) terhadap Perilaku Pengguna Mobile Banking: Studi Kasus Mahasiswa Pengguna Mobile Banking di Pekanbaru. Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan, 18(1), 210. https://doi.org/10.35931/aq.v18i1.2996
Ramadhina, N., Rubiyanti, N., & Mangruwa, R. (2025). The Influence of Performance Expectancy, Effort Expectancy, And Social Influence on Use Behavior with Behavioral Intention as A Mediator (A Case Study of Cash on Delivery (COD) System Users in Marketplaces). International Journal of Social Science and Human Research, 01. https://doi.org/10.47191/ijsshr/v8-i1-24
Rohim, M. H. F., & Wuryaningsih, W. (2024). Analisis Tecnology Acceptance Model pada Aplikasi Pembiayaan Kredit FIFGROUP Mobile Customer: Sistem Informasi Akuntansi. Jurnal E-Bis, 8(2), 654–665. https://doi.org/10.37339/e-bis.v8i2.1718
Rosati, P., Fox, G., Cummins, M., & Lynn, T. (2022). Perceived Risk as a Determinant of Propensity to Adopt Account Information Services under the EU Payment Services Directive 2. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 493–506. https://doi.org/10.3390/jtaer17020026
Samsudeen, S. N., Buhary, F. S. M., Riyath, M. I. M., Mohamed, A. H. H., & Athambawa, H. (2025). Islamic banking customers’ intention to adopt fintech in Sri Lanka: A triangulated approach using PLS-SEM and fsQCA.
Saprikis, V., & Avlogiaris, G. (2021). Factors That Determine the Adoption Intention of Direct Mobile Purchases through Social Media Apps. Information, 12(11), 449. https://doi.org/10.3390/info12110449
Saputra, M., Izzati, B. M., & Rahmadiani, J. (2021). The Acceptance of Government Resource Planning System Using Unified Theory of Acceptance and Use of Technology 2.
Saputri, M. E. (2022). PENGARUH PERFORMANCE EXPECTATION, EFFORT EXPECTANCY, SOCIAL INFLUENCE, PERCEIVED RISK, PERCEIVED COST PADA MINAT MENGGUNAKAN MOBILE PAYMENT DI INDONESIA. Jurnal Sosioteknologi, 21(1), 9–21. https://doi.org/10.5614/sostek.itbj.2022.21.1.2
Sentanoe, W., & Oktavia, T. (2022). Understanding the Determinants of Funders on Crowdfunding Platform Using the Unified Theory of Acceptance and Use of Technology (UTAUT) (No. 03). ICIC International 学会. https://doi.org/10.24507/icicel.16.03.281
Sobti, N. (2019). Impact of demonetization on diffusion of mobile payment service in India: Antecedents of behavioral intention and adoption using extended UTAUT model. Journal of Advances in Management Research, 16(4), 472–497. https://doi.org/10.1108/JAMR-09-2018-0086
Sultana, N., Chowdhury, R. S., & Haque, A. (2023). Gravitating towards Fintech: A study on Undergraduates using extended UTAUT model. Heliyon, 9(10), e20731. https://doi.org/10.1016/j.heliyon.2023.e20731
Tanchangya, T., Al Mamun, M. A., Akter, T., Hossain, B., AbdulBaten, A. M., Islam, N., & Alam, Md. K. (2025). Factors influencing consumers’ attitudes and the moderating role of social influence in the banking industry. Discover Psychology. https://doi.org/10.1007/s44202-025-00521-6
Tariq, M., Maryam, S. Z., & Shaheen, W. A. (2024). Cognitive factors and actual usage of Fintech innovation: Exploring the UTAUT framework for digital banking. Heliyon, 10(15), e35582. https://doi.org/10.1016/j.heliyon.2024.e35582
Tech in Asia Indonesia. (2020, Mei). Bagaimana KitaBisa Menjalankan Crowdfunding hingga Tumbuh 200% di Masa Pandemi. Bagaimana KitaBisa Menjalankan Crowdfunding Hingga Tumbuh 200% Di Masa Pandemi. https://id.techinasia.com/cara-kitabisa-jalankan-bisnis-crowdfunding
TECHNASIA. (2024, June 17). Pahami psikologi pengguna: Strategi Kitabisa tingkatkan user engagement. Pahami Psikologi Pengguna: Strategi Kitabisa Tingkatkan User Engagement. https://id.techinasia.com/strategi-kitabisa-tingkatkan-user-engagement
Tsai, Y. C., & Yeh, J. C. (2019). Perceived risk of information security and privacy in online shopping: A study of environmentally sustainable products.
Venkatesh, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
Venkatesh, Thong, & Xu. (2012a). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412
Venkatesh, Thong, & Xu. (2012b). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412
Wiryawan, D., Suhartono, J., Hiererra, S. E., Ambarwati, S. D. A., & Gui, A. (2023). Factors influencing e-wallet users’ perception on payment transaction security: Evaluation on quick response Indonesia standard. 020022. https://doi.org/10.1063/5.0114922
Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893–1911. https://doi.org/10.3390/jtaer16050106
Yu, C.-W., Chao, C.-M., Chang, C.-F., Chen, R.-J., Chen, P.-C., & Liu, Y.-X. (2021). Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model. Sage Open, 11(4), 21582440211055721. https://doi.org/10.1177/21582440211055721
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Shuja Azmi Ismail, Ryna Parlyna, Osly Usman (Author)

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


