Z Generation's Intention to Use Zakat Digital Payment: The Mediating Effect of Trust
Abstract
The goal of this study was to examine the variables that may affect Muslims in the Z generation's desire to make digital zakat payments. The UTAUT theory was employed in this study. PLS-SEM was used to analyze the data and test the hypothesis. 158 users of digital payment systems responded to the survey in total. The study's findings indicate that while performance expectancy has no impact on the intention to pay zakat through digital payments, effort expectancy, social influence, conducive conditions, and trust do. Additionally, trust promotes conditions and mediates social effects on behavioral intention, but it does not mediate performance expectations or effort expectations.
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Abiba, R. W., & Indrarini, R. (2021). Pengaruh Penggunaan Uang Elektronik (E-Money) Berbasis Server sebagai Alat Transaksi Terhadap Penciptaan Gerakan Less Cash Society pada Generasi Milenial di Surabaya. Jurnal Ekonomika dan Bisnis Islam, 4, 196–206. https://doi.org/10.26740/jekobi.v4n1.p196-206
Afandi, M. Y. (2021). Antecedents of Digitizing ZIS Payments: A TAM and TPB Approaches. Journal of Finance and Islamic Banking, 4(2). https://doi.org/10.22515/jfib.v4i2.4899
Afridiana, N., Rohman, A., & Sugih Ningsih, K. (2019). Kidz Jaman Now Effect: How Millennials’ Opinion Leader In Social Media Can Influence Their Followers’ Intention To Pay Zakat. International Conference of Zakat, 2016. https://doi.org/10.37706/iconz.2018.117
Ahmad, N. N., Tarmidi, M., Ridzwan, I. U., Hamid, M. A., & Roni, R. A. (2014). The Application of Unified Theory of Acceptance and Use of Technology (UTAUT ) for Predicting the Usage of E-Zakat Online System. International Journal of Science and Research, 3(4), 63–67.
Aisyah, N. (2021). 10 Provinsi dengan Akses Internet Tertinggi & Terendah untuk Belajar Online. detikedu. https://www.detik.com/edu/sekolah/d-5702067/10-provinsi-dengan-akses-internet-tertinggi--terendah-untuk-belajar-online/1
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavioral and Human Decision Processes, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Akbari, M., Rezvani, A., Shahriari, E., & Angel, M. (2020). Acceptance of 5G technology: Mediation role of Trust and Concentration. Journal of Engineering and Technology Management, 57(June), 101585. https://doi.org/10.1016/j.jengtecman.2020.101585
Al-sharafi, M. A. (2017). The Effect of Perceived Ease of Use and Usefulness on Customers Intention to Use Online Banking Services: The Mediating Role of Perceived Trust. International Journal of Innovative Computing Journal, 7(1)(July), 9–14.
Aminata, J., & Sjarif, G. E. (2020). Towards a Cashless Society in Indonesia: the Impact on Economic Growth and Interest Rate. Indonesian Journal of Economics, Entrepreneurship and Innovation, 1(2), 2721–8287. https://doi.org/10.31960/ijoeei.v1i2.705
Amofah, D. O., & Chai, J. (2022). Sustaining Consumer E-Commerce Adoption in Sub-Saharan Africa: Do Trust and Payment Method Matter? Sustainability, 1–20. https://doi.org/10.3390/su14148466
Annur, C. M. (2020). Gen Z Paling Sering Gunakan Shopee Pay & E-money untuk Bertransaksi. https://databoks.katadata.co.id/datapublish/2020/11/03/gen-z-paling-sering-gunakan-shopee-pay-e-money-untuk-bertransaksi
Annur, C. M. (2022a). Bank Indonesia: Transaksi Uang Elektronik RI Tembus Rp 35 Triliun per Desember 2021.
https://databoks.katadata.co.id/datapublish/2022/01/31/bank-indonesia-transaksi-uang-elektronik-ri-tembus-rp-35-triliun-per-desember-2021
Annur, C. M. (2022b). Survei: Pecandu Internet Terbanyak dari Kalangan Gen Z. katadata.co.id.
https://databoks.katadata.co.id/datapublish/2022/06/29/survei-pecandu-internet-terbanyak-dari-kalangan-gen-z
APJII. (2022). Survei Penetrasi dan Perilaku Penggunaan Internet. https://apjii.or.id/survei
Arif, M. N. R., Nofrianto, & Fasa, M. I. (2022). Preference of The Muslim Young Generation in Using Digital Zakat Payment: Evidence in Indonesia. Al-Uqud: Journal of Islamic Economics, 6(2), 245–261. https://doi.org/http://dx.doi.org/10.26740/al-uqud.v6n1. p245-261
Aseng, A. C. (2020). Factors Influencing Generation Z Intention in Using Fintech Digital Payment Services. Cogito Smart Journal. https://doi.org/10.31154/cogito.v6i2.260.155-166
Athar, M. D. Al, & Arif, M. N. R. Al. (2021). The Intention of Millennial Generation in Paying Zakat through Digital Payments. International Journal of Islamic Business and Economics, 5(1), 38–47. https://doi.org/10.28918/ijibec.v5i1.3675
Baharuddin, J., Affandy, F. F., Pratiwi, I. E., Maulana, U. I. N., & Ibrahim, M. (2021). An Explanatory Analysis of Zakat Payment Using Cash Amidst the COVID-19 Pandemic: Study Case in Jayapura City, Papua Province. 5th International Conference of Zakat Proceedings. https://doi.org/10.37706/iconz.2021.268
Bayu, D. J. (2020). Survei: Gen Z Paling Banyak Berdonasi Digital saat Pandemi.
https://databoks.katadata.co.id/datapublish/2020/12/16/survei-gen-z-paling-banyak-berdonasi-digital-saat-pandemi
Bin-nashwan, S. A. (2022). Toward diffusion of e-Zakat initiatives amid the COVID-19 crisis and beyond. Foresight, 24(2), 141–158. https://doi.org/10.1108/FS-08-2020-0082
bps.go.id. (2021a). Hasil Sensus Penduduk 2020. https://www.bps.go.id/pressrelease/2021/01/21/1854/hasil-sensus-penduduk-2020.html
bps.go.id. (2021b). Persentase Penduduk Miskin Maret 2021 turun menjadi 10,14 persen.
https://www.bps.go.id/pressrelease/2021/07/15/1843/persentase-penduduk-miskin-maret-2021-turun-menjadi-10-14-persen.html
bps.go.id. (2021c). Statistik E-Commerce 2021.
https://www.bps.go.id/publication/2021/12/17/667821e67421afd2c81c574b/statistik-e-commerce-2021.html
Chan, W. M., & Lee, J. W. C. (2021). 5G Connected Autonomous Vehicle Acceptance: the Mediating Effect of Trust in the Technology Acceptance Model. Asian Journal of Business Research, 11(1). https://doi.org/10.14707/ajbr.210098
Chaouali, W., Ben, I., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007
Chiu, C. M., & Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information and Management, 45(3), 194–201. https://doi.org/10.1016/j.im.2008.02.003
Curtis, M. B., & Payne, E. A. (2014). Modeling voluntary CAAT utilization decisions in auditing. Managerial Auditing Journal, 29(4), 304–326. https://doi.org/10.1108/MAJ-07-2013-0903
Dash, A., & Sahoo, A. K. (2022). Exploring patient’s intention towards e-health consultation using an extended UTAUT model. Journal of Enabling Technologies, March, 1–14. https://doi.org/10.1108/JET-08-2021-0042
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Models," Management Science (35:8). https://doi.org/10.1287/mnsc.35.8.982
Dimock, M. (2019). Where Millennials end and Generation Z begins. Pew Research Center. Pew Research Center, 1–7. https://www.pewresearch.org/fact-tank/2019/01/17/where-millennials-end-and-generation-z-begins/
Dzulfikar, M. Z., Santosa, P. B., & Gunanto, E. Y. A. (2022). Analysis of Millennial Muslims Preferences on the Crowdfunding Platform. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 5(1), 24–47. https://doi.org/10.31538/iijse.v5i1.1796
Dzulhaida, R., & Giri, R. R. W. (2017). Analisis Minat Masyarakat Terhadap Penggunaan Layanan E-Money Di Indonesia Dengan Menggunakan Model Modifikasi Unified Theory of Acceptance and Use Technology 2 (Utaut 2). Majalah Ilmiah UNIKOM, 15(2), 155–166. https://doi.org/10.34010/miu.v15i2.555
Farabi, N. A. (2016). Analisis Penerapan Sistem informasi ZISW Dengan Menggunakan Metode UTAUT. Indonesian Journal on Computer and Information Technology, 1(2), 71–79. https://doi.org/10.31294/ijcit.v1i2.1524
Fathullah. (2018). Zakat in Islam (Analyze the Kinds of Zakat. Asy-Syari’ah, 65–74. https://doi.org/10.55210/assyariah.v4i2.107
filantropi.or.id. (2021). Potret Perilaku Berdonasi Masyarakat Indonesia Saat Pandemi. https://filantropi.or.id/potret-perilaku-berdonasi-masyarakat-indonesia-saat-pandemi/
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introductionto Theory and Research, Addison-Wesle. Reading, MA,.
FOZ. (2020). Sebaran LAZ di Indonesia. https://es-la.facebook.com/forumzakat/posts/sebaran-laz-di-indonesiadiketahui-berdasarkan-riset-yang-dilakukan-forum-zakat-d/3097600010277629/
Ghozali, I., & Latan, H. (2015). Partial Least Square Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0 untuk Penelitian Empiris.
Hair, J. E., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multivariate Data Analysis (7th ed.).
Hair, J. F., Hult, G. T. M., M, R. C., & Marko, S. (2014). A Primer on Partial Least Squares Structural Equation Modeling. In Long Range Planning (Vol. 46, Issues 1–2). https://doi.org/10.1016/j.lrp.2013.01.002
Hermawan, S., & Amirullah. (2016). Metode Penelitian Bisnis Pendekatan Kuantitatif & Kualitatif.
Hinduan, Z. R., Anggraeni, A., & Agia, M. I. (2020). Generation Z in Indonesia: The Self-Driven Digital. The New Generation Z in Asia: Dynamics, Differences, Digitalisation (The Changing Context of Managing People), 121–134. https://doi.org/10.1108/978-1-80043-220-820201012
Ipsos. (2020). Indonesia The next cashless society. https://www.ipsos.com/en-id/ipsos-marketing-summit-indonesia-next-cashless-society
Itsnaini, F. M. (2022). Riset: 27 Persen Populasi Muslim Dunia adalah Gen Z, Ini Gaya Wisaya Mereka. kompas.com. https://travel.kompas.com/read/2022/06/08/170300727/riset-27-persen-populasi-muslim-dunia-adalah-gen-z-ini-gaya-wisata-mereka?page=all
Kasri, R. A., & Yuniar, A. M. (2021). Determinants of digital zakat payments: lessons from Indonesian experience. Journal of Islamic Accounting and Business Research, 2019. https://doi.org/10.1108/JIABR-08-2020-0258
Kayali, M., Safie, N., & Mukhtar, M. (2019). The Effect of Individual Factors Mediated by Trust and Moderated by IT Knowledge on Students’ Adoption of Cloud Based E-learning. International Journal of Innovative Technology and Exploring Engineering, 9(2), 987–993. https://doi.org/10.35940/ijitee.j1137.129219
Khechine, H., Lakhal, S., & Ndjambou, P. (2016). “A meta-analysis of the UTAUT model: eleven years later.” Canadian Journal of Administrative Sciences, 33. https://doi.org/10.1002/cjas.1381
Kurniawan, I. A., Mugiono, M., & Wijayanti, R. (2022). the Effect of Perceived Usefulness, Perceived Ease of Use, and Social Influence Toward Intention To Use Mediated By Trust. Jurnal Aplikasi Manajemen, 20(1), 117–127. https://doi.org/10.21776/ub.jam.2022.020.01.12
Lisana, L. (2022). Understanding the key drivers in using mobile payment among Generation Z. https://doi.org/10.1108/JSTPM-08-2021-0118
Mahri, A. J. W., Nuryahya, E., & Nurasyiah, A. (2019). Influencing Factors of Muzaki Use and Receive Zakat Payment Platform. International Conference of Zakat 2019 Proceedings. https://doi.org/10.37706/iconz.2019.176
Mahri, J. W., Nur, C. M., Al, R., Arundina, T., Widiastuti, T., Mubarok, F., Fajri, M., & Nurasyiah, A. (n.d.). Ekonomi pembangunan islam.
Masrizal, Sukmana, R., Trianto, B., & Zaimsyah, A. M. (2022). Determinant factor of crowdfunders’ behavior in using crowdfunding waqf model in Indonesia: two competing models. Journal of Islamic Marketing, 2020. https://doi.org/10.1108/JIMA-08-2021-0246
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 173-191. http://dx.doi.org/10.1287/isre.2.3.173
McKnight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F. (2011). Trust in a Specific Technology : An Investigation of Its Components. ACM Transactions on Management Information Systems, 2(2). https://doi.org/10.1145/1985347.1985353
Mcknight, D. H., Choudhury, V., & Kacmar, C. (2002). The Impact of Initial Consumer Trust on Intentions to Transact with A Web Site : A Trust Building Model. The Journal of Strategic Information Systems. 11, 297–323. https://doi.org/10.1016/S0963-8687(02)00020-3
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing And Validating Trust Measure for E-Commerce: An Integrative Typology. Informatin System Research. Information Systems Research, 13(3), 334–359. http://dx.doi.org/10.1287/isre.13.3.334.81
Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 192-222. https://doi.org/10.1287/isre.2.3.192
Namahoot, K. S., & Jantasri, V. (2022). Integration of UTAUT model in Thailand cashless payment system adoption : the mediating role of perceived risk and trust. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-07-2020-0102
Nur, T., & Panggabean, R. R. (2021). Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach. Journal of Accounting Research, Organization and Economics, 4(1), 14–28. https://doi.org/10.24815/jaroe.v4i1.19644
Nuryahya, E., Mahri, A. J. W., Nurasyiah, A., & Adiresuty, F. (2022). al-Uqud : Journal of Islamic Economics Technology acceptance of zakat payment platform : An analysis of modified of unified theory of acceptance and use of technology. 142–159. https://doi.org/10.26740/aluqud.v6n1.p142-159
Oktavendi, T. W., & Mu’ammal, I. (2021). The role of risk, trust and social influence on ZIS online payment adoption model : Generation-Z perspectives. Jurnal Reviu Akuntansi dan Keuangan, 11(2), 430–446. https://doi.org/10.22219/jrak.v11i2.17400
Oshlyansky, L., Park, S., Cairns, P., Thimbleby, H., & Park, S. (2007). Validating the Unified Theory of Acceptance and Use of Technology (UTAUT) tool cross-culturally. August 2016. https://doi.org/10.1145/1531407.1531429
Park, D. H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125–148. https://doi.org/10.2753/JEC1086-4415110405
Priyono. (2008). Metode Penelitian Kuantitatif. Zifatama Publishing.
Purwanto, E., & Loisa, J. (2020). The Intention and Use Behaviour of the Mobile Banking System in indonesia : UTAUT Model. Technology Reports of Kansai University, July.
puskasbaznas.com. (2021). Survei Nasional Pengumpulan ZIS Partisipasi Masyarakat Non-OPZ 2019-2020. https://www.puskasbaznas.com/publications/books/1465-survei-nasional-pengumpulan-zis-partisipasi-masyarakat-non-opz-2019-2020
Putri, R. A., & Jumhur, H. M. (2019). Peminat Aplikasi Blibli.com dengan Menggunakan Model Unified Theory Acceptance and Use Technology (UTAUT). Jurnal Riset Bisnis dan Manajemen, 12(1), 16–23. https://doi.org/https://doi.org/10.23969/jrbm.v12i1.762
Rahadi, R. A., Putri, N. R. R., Putri, R., Soekarno, S., Damayanti, S. M., Murtaqi, I., & Saputra, J. (2021). Analyzing cashless behavior among generation Z in Indonesia. International Journal of Data and Network Science, 5, 601–612. https://doi.org/10.5267/j.ijdns.2021.8.007
Sanmukhiya, C. (2021). A PLS -SEM Approach to the UTAUT Model : The Case of Mauritius. Annals of Social Sciences and Management Studies, October 2020. https://doi.org/10.19080/ASM.2020.06.555677
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. International Journal of Information Management, 50(March 2019), 286–301. https://doi.org/10.1016/j.ijinfomgt.2019.08.008
Sekaran, U., & Bougie, R. (2016). Research Methods for Business (7th. ed.).
Sembiring, M. J., Wibowo, W., & Dewi, G. C. (2022). Adoption of innovative mobile payment technologies in Indonesia : The role of attitude. Innovative Marketing. https://doi.org/10.21511/im.18(2).2022.16
Sharma, S. K., Al-badi, A., Rana, N. P., & Al-azizi, L. (2018). Mobile applications in government services (mG-App) from user’s perspectives : A predictive modelling approach. Government Information Quarterly, April, 0–1. https://doi.org/10.1016/j.giq.2018.07.002
Sivathanu, B. (2019). Adoption of Digital Payment Systems in the Era of Demonetization in India An Empirical Study. Journal of Science and Technology Policy Management, 10(1), 143–171. https://doi.org/10.1108/JSTPM-07-2017-0033
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2010). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 30(6), 461–469. https://doi.org/10.1002/mar.20823
Sladek, B. S., & Grabinger, A. (2016). The first generation of the 21st Century has arrived! XYZ University, 16. www.xyzuniversity.com
Sugiyono. (2013). Metode Penelitian Kuantitatif Kualitatif dan R&D (19th ed.). Alfabeta.
Syafira, F. N., Ratnasari, R. T., & Ismail, S. (2020). The Effect of Religiousity and Trust on Intention to Pay in ZISWAF Collection Through Digital Payments. JEBIS: Jurnal Ekonomi dan Bisnis Islam, 6(1), 98–115. https://doi.org/10.20473/jebis.v6i1.17293
Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, 65(March). https://doi.org/10.1016/j.techsoc.2021.101565
Tantriana, D., & Rahmawati, L. (2019). The Analysis of Surabaya Muzaki’s Preference for Zakat Payment through Zakat Digital Method. International Conference of Zakat, 23. https://doi.org/10.37706/iconz.2018.118
Taylor, S. ., & Todd, P. A. (1995a). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 144-176. https://doi.org/10.1287/isre.6.2.144
Taylor, S., & Todd, P. A. (1995b). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 561-570. https://doi.org/10.2307/249633
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 124-143. https://doi.org/10.2307/249443
Thongsri, N., Shen, L., Bao, Y., & Alharbi, I. M. (2018). Integrating UTAUT and UGT to Explain Behavioural Intention to Use M-learning A Developing Country’s Perspective. Journal of System and Information Technology. https://doi.org/10.1108/JSIT-11-2017-0107
Tumewang, Y. K., Annisa, I. T., & Fakhrunnas, F. (2021). How Islamic Social Funds Support Sustainable Development Goals During Covid Outbreak? The Role of Religiosity, Trust, and Perceived Behavioral Control. Jurnal Ekonomi Dan Keuangan Islam, 10(1), 84–103. https://doi.org/10.22373/share.v10i1.9302
Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2022). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management, 13(3), 713–737.https://doi.org/10.1108/JSTPM-12-2020-0168
Utami, S. (2020). the Law of Online Zakat Based on the Application Providing Easiness in Transaction of Zakat Payment. Al-Bayyinah, 4(2), 164–178. https://doi.org/10.35673/al-bayyinah.v4i2.774
Vania, H. F. (2022). Frekuensi Penggunaan Dompet Digital di Indonesia. https://databoks.katadata.co.id/datapublish/2022/07/29/frekuensi-penggunaan-dompet-digital-di-indonesia
Venkatesh, V., & Davis, F. D. (2000). A theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Informaton Technology: Toward a Unified View. MIS Quarterly, 67(3), 95–98. https://doi.org/10.1016/j.inoche.2016.03.015
Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J. H., & Brown, S. A. (2011). Extending the Two-Stage Information Systems Continuance Model: Incorporating UTAUT Predictors and the Role of Context. Information Systems Journal, 21(6), 527–555. https://doi.org/10.1111/j.1365-2575.2011.00373.x
Wan, L., Xie, S., & Shu, A. (2020). Toward an Understanding of University Students’ Continued Intention to Use MOOCs : When UTAUT Model Meets TTF Model. Sage Open. https://doi.org/10.1177/2158244020941858
Widodo, M., Irawan, M. I., & Sukmono, R. A. (2019). Extending UTAUT2 to explore digital wallet adoption in Indonesia. 2019 International Conference on Information and Communications Technology, ICOIACT 2019, 878–883. https://doi.org/10.1109/ICOIACT46704.2019.8938415
Widyanto, H. A., Kusumawardani, K. A., & Yohanes, H. (2021). Safety First : Extending UTAUT to Better Predict Mobile Payment Adoption by Incorporating Perceived Security, Perceived Risk and Trust. Journal of Scien. https://doi.org/10.1108/JSTPM-03-2020-0058
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The Unified Theory of Acceptance And Use of Technology (UTAUT): a Literature Review. Journal of Enterprise Information Management, 28(3), 443–488. https://doi.org/10.1108/JEIM-09-2014-0088
Yohanes, K., Junius, K., Saputra, Y., Sari, R., Lisanti, Y., & Luhukay, D. (2020). Unified Theory of Acceptance and Use of Technology (UTAUT) model perspective to enhance user acceptance of fintech application. Proceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020, August, 643–648. https://doi.org/10.1109/ICIMTech50083.2020.9211250
Zhao, Y., & Bacao, F. (2020). A Comprehensive Model Integrating UTAUT and ECM With Espoused Cultural Values for Investigating Users’ Continuance Intention of Using Mobile Payment. ICBDT'20: Proceedings Of The 3rd International Conference On Big Data Technologies. https://doi.org/10.1145/3422713.3422754
DOI: http://dx.doi.org/10.21043/ziswaf.v9i2.18466
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