Digital Bank Adoption in Indonesia: The Role of Price Value, Perceived Risk, and Intention to Use
Downloads
This study aims to explore the effect of price value and perceived risk on the intention to use digital banks and investigate the effect of intention to use on digital bank adoption. This study uses a quantitative approach by distributing questionnaires to digital bank users in Indonesia. This study used a purposive sampling technique and obtained a sample size of 296 respondents. The results of this study show that price value and perceived risk significantly affect the intention to use digital banks. This study also proved the significant influence of intention to use on adopting digital banks in Indonesia. This study can provide insight into policymaking for developing digital bank services in Indonesia.
Keywords: Price Value, Perceived Risk, Intention to Use, Digital Bank Adoption
ABSTRAK
Penelitian ini bertujuan untuk mengeksplorasi pengaruh nilai harga dan risiko yang dirasakan terhadap niat untuk menggunakan bank digital dan menyelidiki pengaruh niat untuk menggunakan terhadap adopsi bank digital. Penelitian ini menggunakan pendekatan kuantitatif dengan menyebarkan kuesioner kepada pengguna bank digital di Indonesia. Penelitian ini menggunakan teknik purposive sampling dan memperoleh jumlah sampel sebanyak 296 responden. Hasil dari penelitian ini menunjukkan bahwa nilai harga dan risiko yang dirasakan secara signifikan mempengaruhi niat untuk menggunakan bank digital. Penelitian ini juga membuktikan adanya pengaruh signifikan dari niat menggunakan terhadap adopsi bank digital di Indonesia. Penelitian ini dapat memberikan masukan dalam pengambilan kebijakan untuk mengembangkan layanan bank digital di Indonesia.
Kata Kunci: Nilai Harga, Persepsi Risiko, Niat Menggunakan, Adopsi Bank Digital
Alalwan, A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40(August 2017), 125–138. https://doi.org/10.1016/j.jretconser.2017.08.026
Alharbi, N., Papadaki, M., & Dowland, P. (2017). The impact of security and its antecedents in behaviour intention of using e-government services. Behaviour and Information Technology, 36(6), 620–636. https://doi.org/10.1080/0144929X.2016.1269198
Ali, A., Qaiser, R., & Baig, W. (2022). Examination of customers' intention to adopt digital banking services: Moderating role of perceived risk in the banking sector of Pakistan during COVID-19. Journal of Social Sciences Review, 2(4), 27–34. https://doi.org/10.54183/jssr.v2i4.50
APJII. (2023). Statistik pengguna internet Indonesia 2023. Asosiasi Penyelenggara Jasa Internet Indonesia. Retrieved from https://www.apjii.or.id
Bank Indonesia. (2021). Kajian stabilitas keuangan No. 37 September 2021. Bank Indonesia. Retrieved from https://www.bi.go.id
Baraba, R., & Mahmudi, M. (2023). Understanding the millennial generation behavior in using digital banking. Asean International Journal of Business, 2(1), 1–13. https://doi.org/10.54099/aijb.v2i1.394
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), vii–xvi.
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least square. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). Sage Publications.
Dailysocial. (2021). Fintech report 2021: The convergence of (digital) financial services. Dailysocial.id. Retrieved from https://dailysocial.id/research/fintech-report-2021
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307–319. https://doi.org/10.2307/3172866
Fawzy, S., & Esawai, N. (2017). Internet banking adoption in Egypt: Extending technology acceptance model. Journal of Business Research and Marketing Review, 12(1). https://doi.org/10.24052/jbrmr/v12is01/ibaieetam
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
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Gefen, D., Straub, D. W., & Boudreau, M.-C. (2000). Structural equation modeling techniques and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–77.
Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: A UTAUT2 perspective of smart travellers. Tourism and Hospitality Management, 23(2), 145–161. https://doi.org/10.20867/thm.23.2.6
Hair, J. F. J., Huflt, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM) (1st ed.). Sage.
Hair, J. F. J., Huflt, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Hair, J. F. J., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203
Harseno, D. F. (2021). Analisis faktor-faktor yang memengaruhi penggunaan e-wallet di Indonesia. Accounting and Business Information Systems Journal, 9(4). https://journal.ugm.ac.id/abis/article/view/70384
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hidayat, M. T., Aini, Q., & Fetrina, E. (2020). Penerimaan pengguna e-wallet menggunakan UTAUT 2 (studi kasus): User acceptance of e-wallet using UTAUT 2 - A case study. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 9(3), 239–247.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.
Iskandar. (2023). Penetrasi bank digital di Indonesia terbesar kedua dunia, Bank Jago genjot inovasi baru. Liputan6.com. Retrieved from https://www.liputan6.com
Jayani, D. H. (2021). Pemilik rekening bank digital di Indonesia terbanyak kedua di dunia. Databoks.Katadata.co.id. Retrieved from https://databoks.katadata.co.id
Kompas. (2021a). Bagaimana brand bank digital mendekati kalangan milenial dan Gen Z? Money.Kompas.com. Retrieved from https://money.kompas.com
Kompas. (2021b). Penggunaan bank digital di tangan milenial. Money.Kompas.com. Retrieved from https://money.kompas.com
Kwateng, K. O., Afo, K., Atiemo, O., & Appiah, C. (2019). Acceptance and use of mobile banking: An application of UTAUT2. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-03-2018-0055
Lidwina, A. (2021). Jumlah unduhan aplikasi bank digital meningkat 7% pada 2020. Databoks.Katadata.co.id. Retrieved from https://databoks.katadata.co.id
Lubis, M. F. T., & Rahmiati, F. (2019). User acceptance of online travel agents for millennials and Gen Z. Jurnal Muara Ilmu Ekonomi dan Bisnis, 3(2), 375. https://doi.org/10.24912/jmieb.v3i2.7347
Maulidina, P. R., & Sungkono, K. R. (2020). Using extended UTAUT2 model to determine factors influencing the use of Shopee e-commerce. Proceedings - 2020 International Seminar on Application for Technology of Information and Communication: IT Challenges for Sustainability, Scalability, and Security in the Age of Digital Disruption, ISemantic 2020, 493–498.
Nguyen, O. (2020). Factors affecting the intention to use digital banking in Vietnam. Journal of Asian Finance, Economics and Business, 7(3), 303–310. https://doi.org/10.13106/jafeb.2020.vol7.no3.303
OJK. (2021a). Cetak biru transformasi digital bank. Otoritas Jasa Keuangan. Retrieved from https://www.ojk.go.id
OJK. (2021b). Peraturan Otoritas Jasa Keuangan Republik Indonesia Nomor 12/POJK.03/2021 tentang Bank Umum. Otoritas Jasa Keuangan. Retrieved from https://www.ojk.go.id
Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703. https://doi.org/10.1016/j.ijinfomgt.2014.06.004
Otoritas Jasa Keuangan. (2022). Transformasi digital perbankan: Wujudkan bank digital. Sikapi Uangmu. Retrieved from https://sikapiuangmu.ojk.go.id
Penney, E. K., Agyei, J., Boadi, E. K., Abrokwah, E., & Ofori-Boafo, R. (2021). Understanding factors that influence consumer intention to use mobile money services: An application of UTAUT2 with perceived risk and trust. SAGE Open, 11(3). https://doi.org/10.1177/21582440211023188
Piarna, R., Fathurohman, F., & Purnawan, N. N. (2020). Understanding online shopping adoption: The unified theory of acceptance and use of technology with perceived risk in millennial consumers' context. JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen, 17(1), 51. https://doi.org/10.31106/jema.v17i1.5050
Pratama, R. R. D., & Renny, R. (2022). The role of behavioral intentions to use mobile banking: Application of the UTAUT2 method with security, trust, and risk factors. Dinasti International Journal of Management Science, 3(4), 728–741.
Respati, I. B. S., & Mahyuni, L. P. (2022). Bagaimana respon masyarakat terhadap super apps kelistrikan? Sebuah model penerimaan super apps baru. Journals of Economics and Business Mulawarman (JEBM), 24(1), 162–169. https://doi.org/10.29264/jfor.v24i1.10435
Ringle, C. M., Wende, S., & Becker, J.-M. (2022). SmartPLS 4. Retrieved from https://www.smartpls.com
Sandria, F. (2021). Berani beri bunga hingga 8%, bagaimana prospek bank digital? CNBC Indonesia. Retrieved from https://www.cnbcindonesia.com
Sekaran, U., & Bougie, R. (2019). Metode penelitian untuk bisnis. Salemba Empat.
Statista. (2021). Digital economy in Southeast Asia - Statistics & facts. Retrieved from https://www.statista.com
Statista. (2023). E-commerce in Indonesia – Statistics & facts. Retrieved from https://www.statista.com
Tan, E., & Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers Insight and Ideas for Responsible Marketers, 17(1), 18–31. https://doi.org/10.1108/yc-07-2015-00537
Thusi, P., & Maduku, D. K. (2020). South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective. Computers in Human Behavior, 111(July 2019). https://doi.org/10.1016/j.chb.2020.106405
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory. MIS Quarterly, 36(1), 157–178.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Verkijika, S. F. (2018). Factors influencing the adoption of mobile commerce applications in Cameroon. Telematics and Informatics, 35(6), 1665–1674. https://doi.org/10.1016/j.tele.2018.04.012
Wareza, M. (2021). Resmi! Ini perincian peraturan baru OJK soal bank digital. CNBC Indonesia. Retrieved from https://www.cnbcindonesia.com
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
World Bank. (2020). Global Findex Database 2020: Financial inclusion. Retrieved from https://www.worldbank.org
Yaseen, S. G., & El Qirem, I. A. (2018). Intention to use e-banking services in the Jordanian commercial banks. International Journal of Bank Marketing, 36(3), 557–571. https://doi.org/10.1108/IJBM-05-2017-0082
Copyright (c) 2025 Mahendra Adhi Nugroho, Retno Sulistyani, Budi Tiara Novitasari, Richard Chinomona
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Nominal Barometer Riset Akuntansi dan Manajemen allows readers to read, download, copy, distribute, print, search, or link to its articles' full texts and allows readers to use them for any other lawful purpose. The journal allows the author(s) to hold the copyright without restrictions. Finally, the journal allows the author(s) to retain publishing rights without restrictions
- Authors are allowed to archive their submitted article in an open access repository
- Authors are allowed to archive the final published article in an open access repository with an acknowledgment of its initial publication in this journal
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 Generic License.
Terjemahan.png)
