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ABSTRACT:

This study aims to examine the determinants influencing the adoption of the Jenius digital bank among Generation Y and Z individuals in Indonesia. The research focuses on Generation Y and Z users of the Jenius application in Indonesia. A purposive sampling strategy was employed to gather data from 205 respondents who completed an online questionnaire disseminated via Google Forms. The obtained data was subsequently analyzed using Structural Equation Modeling (SEM) with the assistance of SmartPLS Version 3 software. The results delineate that both perceived benefits and perceived risks exert significant influences on the adoption of the Jenius digital bank. The constituents underpinning perceived benefits comprise economic benefit, seamless transaction capabilities, and convenience. Conversely, the factors contributing to perceived risks encompass financial risk, security risk, and performance risk. The adoption of the Jenius digital bank by Generation Y and Z users in Indonesia is substantially driven by the perceived benefits and risks, with each of these dimensions encapsulating distinct and relevant factors pertinent to the users' decision-making process.

KEYWORDS:

Digital Bank Jenius, Adoption, Perceived Benefit, Perceived Risk, Y and Z Generations

REFERENCES:

1) Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179– 211. https://doi.org/10.1016/0749-5978(91)90020-T

2) Al-Jabri, brahim M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), 379–391.

3) APJII. (2024). Survei Internet APJII 2024. https://survei.apjii.or.id/home

4) Asnamawati, L. (2015). Strategi Percepatan Adopsi Dan Difusi Inovasi Dalam Pemanfaatan Mesin Tanam Padi Indojarwo Transplanter Di Kabupaten Bengkulu Utara Provinsi Bengkulu. Universitas Terbuka Repostory, 11(2), 50–57.

5) Athifah Nadya Akmalia, & Rikumahu, B. (2020). Analisis Tingkat Adopsi Layanan Perbankan Digital Menggunakan Teori Difusi Inovasi (Objek Studi: Jenius oleh Bank BTPN di Kota Bandung dan Jakarta). In Jurnal Mitra Manajemen (Vol. 4, Issue 8, pp. 1196–1207). https://doi.org/10.52160/ejmm.v4i8.445

6) Avilya, L. T., & Ghozali, I. (2022). Pengaruh Intellectual Capital, Good Corporate Governance Dan
Corporate Social Responsibility Terhadap Kinerja Keuangan Dengan Manajemen
Laba Sebagai Variabel Mediasi (Studi Empiris pada Perusahaan Manufaktur
yang Terdaftar di BEI Tahun 2018-2020) Lesatano. Diponegoro Journal of Accounting, 11, 1–15.
https://ejournal3.undip.ac.id/index.php/accounting/article/view/36387%0Ahttps:
//ejournal3.undip.ac.id/index.php/ac counting/article/download/36387/27987

7) Databoks. (2022). Apa Alasan Konsumen Gunakan Bank Digital? Ini Hasil Surveinya.Databoks. https://databoks.katadata.co.id/datapublish/2022/07/08/apa-alasan-konsumen-gunakan-bank-digital-ini-hasil- surveinya#:~:text=Menurut hasil survei Populix%2C sebanyak 75%25 responden menilai,menganggap bank digital memudahkan nasabah untuk melacak pengeluar

8) Diva Angelia. (2022). Menelisik Perkembangan Bank Digital diIndonesia. https://www.goodnewsfromindonesia.id/2022/01/24/menelisik-perkembangan-bank-digital-yang-kian-prospektif-di- indonesia

9) Featherman, M. S., & Pavlou, P. A. (2003). 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

10) Hair, J. . F., Hult, T. . M. G., Ringle, C. M., Sarstedt;, Danks, N. P., & Ray, S. (2021). An introduction to structural equation modeling.Partial least squares structural equation modeling with R. In Practical Assessment, Research and Evaluation (Vol. 21, Issue 1).

11) Islamy, H. R., & Triansari, N. (2020). Analisis Faktor-Faktor
Yang Mempengaruhi Konsumen Menggunakan Aplikasi Perbankan Jenius
di Jabodetabek. E-Proceeding of Management, 7(2), h. 2192-2203.
https://openlibrarypublications.telkomuniversity.ac.id/index.php/management/article/view/12133%0Ahttps
://openlib rarypublications.telkomuniversity.ac.id/index.
php/management/article/download/12133/11940

12) Jain, N., & Raman, T. V. (2022). A partial least squares approach to digital finance adoption. Journal of Financial Services Marketing, 27(4), 308–321. https://doi.org/10.1057/s41264-021-00127-8

13) Juita, V., Firdaus, F., & Hermanto, T. N. P. (2020). Studi Prilaku Pengguna Layanan Financial Technology (Fintech) di Indonesia: Analisa Persepsi Risiko dan Manfaat. In Jurnal Inovasi Pendidikan Ekonomi (JIPE) (Vol. 10, Issue 2, p. 118). https://doi.org/10.24036/011100040

14) Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001

15) Kominfo. (2021). Angkatan Kerja Produktif Melimpah. https://www.kominfo.go.id/content/detail/33004/angkatan- kerja-produktif-melimpah/0/artikel

16) Kuisma, T., Laukkanen, T., & Hiltunen, M. (2007). Mapping the reasons for resistance to Internet banking: A means-end approach. International Journal of Information Management, 27(2), 75–85. https://doi.org/10.1016/j.ijinfomgt.2006.08.006

17) Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141. https://doi.org/10.1016/j.elerap.2008.11.006

18) Okazaki, S., & Mendez, F. (2013). Exploring convenience in mobile commerce: Moderating effects of gender. Computers in Human Behavior, 29(3), 1234–1242. https://doi.org/10.1016/j.chb.2012.10.019

19) Pal, A., Herath, T., De’, R., & Rao, H. R. (2021). Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage. Information Systems Frontiers, 23(4), 941–961. https://doi.org/10.1007/s10796-020-10070-z

20) Prasarry, Y. V., Sayoga, R. Y., & Marsintauli, F. (2023). Investasi Digital Reksa Dana dengan Model Unified Theory

21) Acceptance and Use of Technology (UTAUT) Pada Generasi Y dan Z. Jurnal Ilmiah Manajemen Dan Bisnis, 24(1), 42–63. https://doi.org/10.30596/jimb.v24i1.14451

22) Raja, V. S. T., & Widoatmodjo, S. (2020). Faktor yang Menentukan Penggunaan Financial Technology Secara Berkelanjutan pada Pengguna Ovo di Jakarta Barat. Jurnal Manajerial Dan Kewirausahaan, 2(3), 828. https://doi.org/10.24912/jmk.v2i3.9597

23) Ryu, H. S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management and Data Systems, 118(3), 541–569. https://doi.org/10.1108/IMDS-07-2017-0325

24) Sakdiyah, L., Effendi, R., & Kustono, A. S. (2019). Analisis Penerimaan Penggunaan E-Learning dengan Pendekatan Theory of Planned Behavior (TPB) pada Mahasiswa Akuntansi Universitas Jember. E-Journal Ekonomi Bisnis Dan Akuntansi, 6(2), 120. https://doi.org/10.19184/ejeba.v6i2.11151

25) Sumardi, Azizah, U. S. Al, Mulyono, H., & Suryana, A. M. (2022). The determinants of willingness to continuously use financial technology among university students: Dataset from a private university in Indonesia. Data in Brief, 44, 108521. https://doi.org/10.1016/j.dib.2022.108521 Tiffani, I. (2023). Pengaruh Literasi Keuangan Dan Literasi Digital Terhadap Preferensi Bank Digital. Mbia, 22(1), 152– 167. https://doi.org/10.33557/mbia.v22i1.2039