Analysis of shopeepay usage intention among Bekasi high school students
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Abstract
The development of financial technology (fintech) has fundamentally transformed societal transaction patterns from conventional systems to digital platforms, including among high school students who constitute part of Generation Z. Despite their high level of technological adaptability, the intention to utilize fintech services such as ShopeePay is influenced by various determining factors. The purpose of this study is to examine how high school students in Bekasi City's intention to use ShopeePay is influenced by perceived benefit, perceived risk, ease of use, and trust. Employing a quantitative approach with an associative research design, this study utilized a survey method through the distribution of Likert-scale questionnaires to high school students who are ShopeePay users. Multiple linear regression was used to analyze the data following validity, reliability, and traditional assumption tests. The results show that while perceived risk has a negative and significant impact on ShopeePay usage intention, trust, ease of use, and perceived benefit have a positive and significant impact. Ease of use emerged as the most dominant variable influencing usage intention, whereas perceived risk constituted the strongest inhibiting factor. These findings indicate that increasing ShopeePay usage intention among students necessitates strengthening security aspects, enhancing digital financial literacy, and providing accessible and beneficial services. This study provides empirical contributions to the development of technology acceptance models in the fintech sector among adolescent users.
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How to Cite
Anggraini, A., Sudarno, S., Wardhani, A., Farhani, N. H., & Harmuzan, H. (2026). Analysis of shopeepay usage intention among Bekasi high school students. Indonesia Auditing Research Journal, 15(1), 64–74. https://doi.org/10.35335/arj.v15i1.619
References
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Djafarova, E., & Bowes, T. (2020). Journal of Retailing and Consumer Services ‘ Instagram made Me buy it ’ : Generation Z impulse purchases in fashion industry. Journal of Retailing and Consumer Services, xxxx, 102345. https://doi.org/10.1016/j.jretconser.2020.102345
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59, 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Guizani, M. (2017). The Financial Determinants of Corporate Cash Holdings in an Oil Rich Country: Evidence from Kingdom of Saudi Arabia. Borsa Istanbul Review, 17(3), 133–143. https://doi.org/10.1016/j.bir.2017.05.003
Johnson, V. L., Kiser, A., Washington, R., Torres, R., Kiser, A., & Torres, R. (2017). Limitations to the Rapid Adoption of M-payment Services: Understanding the Impact of Privacy Risk on M-Payment Services. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.10.035
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61, 35–46. https://doi.org/10.1016/j.bushor.2017.09.003
Liébana, F., Nidhi, C., Zoran, S., Elena, K., & Trujillo, C. (2021). Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments : a multi ‑ analytical approach. Information Technology and Management. https://doi.org/10.1007/s10799-021-00328-6
Lusardi, A., Michaud, P.-C., & Mitchell, O. S. (2017). Optimal Financial Knowledge and Wealth Inequality. Journal OfPolitical Economy, 125(2).
Martins, C., & Oliveira, T. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34, 1–13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Maulidatinisa, S., Zulaihati, S., & Respati, D. K. (2025). Pengaruh Literasi Keuangan, Pengendalian Diri, Dan Penggunaan Fintech Berbasis Shopeepay Terhadap Perilaku Konsumtif Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Negeri Jakarta. Ekopedia: Jurnal Ilmiah Ekonomi, 1(3), 776–791.
Mawardani, F., & Dwijayanti, R. (2021). Pengaruh Persepsi Kemudahan Penggunaan dan Promosi Cashback Terhadap Minat Mahasiswa Dalam Menggunakan Dompet Digital Shopeepay pada Aplikasi Shopee. Jurnal Pendidikan Tata Niaga (JPTN), 9(3), 1455–1463.
Noreen, M., Ghazali, Z., & Mia, S. (2021). The Impact of Perceived Risk and Trust on Adoption of Mobile Money Services : An Empirical Study in Pakistan *. 8(6), 347–355. https://doi.org/10.13106/jafeb.2021.vol8.no6.0347
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
Priporas, C., Stylos, N., & Fotiadis, A. K. (2017). Computers in Human Behavior Generation Z consumers ’ expectations of interactions in smart retailing : A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
Ryu, H. (2018). Understanding Benefit and Risk Framework of Fintech Adoption : Comparison of Early Adopters and Late Adopters. 3864–3873.
Setiawan, M., Effendi, N., Santoso, T., & Dewi, V. I. (2020). Digital financial literacy, current behavior of saving and spending and its future foresight. Economics of Innovation and New Technology, 1–19. https://doi.org/10.1080/10438599.2020.1799142
Shaikh, A. A., & Karjaluoto, H. (2014). Telematics and Informatics Mobile banking adoption : A literature review. TELEMATICS AND INFORMATICS. https://doi.org/10.1016/j.tele.2014.05.003
Sharma, S. K., Mangla, S. K., Luthra, S., & Al-Salti, Z. (2018). Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model. Journal of Retailing and Consumer Services, 45, 52–63. https://doi.org/10.1016/j.jretconser.2018.08.008
Singh, N., Srivastava, S., & Sinha, N. (2017). Consumer preference and satisfaction of M-wallets: a study on North Indian consumers. International Journal of Bank Marketing, 35(6), 944–965. https://doi.org/10.1108/IJBM-06-2016-0086
Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2014). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 37–41. https://doi.org/10.1080/0965254X.2014.914075
Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538–562. https://doi.org/10.1108/IntR-05-2016-0117
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Xiao, J. J., & Porto, N. (2017). Financial education and financial satisfaction: Financial literacy, behavior, and capability as mediators. International Journal of Bank Marketing, 35(5). https://doi.org/10.1108/IJBM-01-2016-0009
Yang, Y., Hongxiu, Y. L., & Yu, L. B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253–269. https://doi.org/10.1108/IMDS-08-2014-0243
Zhu, D. H., Lan, L. Y., & Chang, Y. P. (2017). Understanding the Intention to Continue Use of a Mobile Payment Provider \: An Examination of Alipay Wallet in China. International Journal of Business and Information, 12(4), 369–390. https://doi.org/10.6702/ijbi.2017.12.4.2
Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-09-2018-0256
Dahlberg, T., Guo, J., & Ondrus, J. (2015). Electronic Commerce Research and Applications A critical review of mobile payment research. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, July. https://doi.org/10.1016/j.elerap.2015.07.006
Djafarova, E., & Bowes, T. (2020). Journal of Retailing and Consumer Services ‘ Instagram made Me buy it ’ : Generation Z impulse purchases in fashion industry. Journal of Retailing and Consumer Services, xxxx, 102345. https://doi.org/10.1016/j.jretconser.2020.102345
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59, 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Guizani, M. (2017). The Financial Determinants of Corporate Cash Holdings in an Oil Rich Country: Evidence from Kingdom of Saudi Arabia. Borsa Istanbul Review, 17(3), 133–143. https://doi.org/10.1016/j.bir.2017.05.003
Johnson, V. L., Kiser, A., Washington, R., Torres, R., Kiser, A., & Torres, R. (2017). Limitations to the Rapid Adoption of M-payment Services: Understanding the Impact of Privacy Risk on M-Payment Services. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.10.035
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61, 35–46. https://doi.org/10.1016/j.bushor.2017.09.003
Liébana, F., Nidhi, C., Zoran, S., Elena, K., & Trujillo, C. (2021). Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments : a multi ‑ analytical approach. Information Technology and Management. https://doi.org/10.1007/s10799-021-00328-6
Lusardi, A., Michaud, P.-C., & Mitchell, O. S. (2017). Optimal Financial Knowledge and Wealth Inequality. Journal OfPolitical Economy, 125(2).
Martins, C., & Oliveira, T. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34, 1–13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Maulidatinisa, S., Zulaihati, S., & Respati, D. K. (2025). Pengaruh Literasi Keuangan, Pengendalian Diri, Dan Penggunaan Fintech Berbasis Shopeepay Terhadap Perilaku Konsumtif Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Negeri Jakarta. Ekopedia: Jurnal Ilmiah Ekonomi, 1(3), 776–791.
Mawardani, F., & Dwijayanti, R. (2021). Pengaruh Persepsi Kemudahan Penggunaan dan Promosi Cashback Terhadap Minat Mahasiswa Dalam Menggunakan Dompet Digital Shopeepay pada Aplikasi Shopee. Jurnal Pendidikan Tata Niaga (JPTN), 9(3), 1455–1463.
Noreen, M., Ghazali, Z., & Mia, S. (2021). The Impact of Perceived Risk and Trust on Adoption of Mobile Money Services : An Empirical Study in Pakistan *. 8(6), 347–355. https://doi.org/10.13106/jafeb.2021.vol8.no6.0347
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
Priporas, C., Stylos, N., & Fotiadis, A. K. (2017). Computers in Human Behavior Generation Z consumers ’ expectations of interactions in smart retailing : A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
Ryu, H. (2018). Understanding Benefit and Risk Framework of Fintech Adoption : Comparison of Early Adopters and Late Adopters. 3864–3873.
Setiawan, M., Effendi, N., Santoso, T., & Dewi, V. I. (2020). Digital financial literacy, current behavior of saving and spending and its future foresight. Economics of Innovation and New Technology, 1–19. https://doi.org/10.1080/10438599.2020.1799142
Shaikh, A. A., & Karjaluoto, H. (2014). Telematics and Informatics Mobile banking adoption : A literature review. TELEMATICS AND INFORMATICS. https://doi.org/10.1016/j.tele.2014.05.003
Sharma, S. K., Mangla, S. K., Luthra, S., & Al-Salti, Z. (2018). Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model. Journal of Retailing and Consumer Services, 45, 52–63. https://doi.org/10.1016/j.jretconser.2018.08.008
Singh, N., Srivastava, S., & Sinha, N. (2017). Consumer preference and satisfaction of M-wallets: a study on North Indian consumers. International Journal of Bank Marketing, 35(6), 944–965. https://doi.org/10.1108/IJBM-06-2016-0086
Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2014). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 37–41. https://doi.org/10.1080/0965254X.2014.914075
Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538–562. https://doi.org/10.1108/IntR-05-2016-0117
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Xiao, J. J., & Porto, N. (2017). Financial education and financial satisfaction: Financial literacy, behavior, and capability as mediators. International Journal of Bank Marketing, 35(5). https://doi.org/10.1108/IJBM-01-2016-0009
Yang, Y., Hongxiu, Y. L., & Yu, L. B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253–269. https://doi.org/10.1108/IMDS-08-2014-0243
Zhu, D. H., Lan, L. Y., & Chang, Y. P. (2017). Understanding the Intention to Continue Use of a Mobile Payment Provider \: An Examination of Alipay Wallet in China. International Journal of Business and Information, 12(4), 369–390. https://doi.org/10.6702/ijbi.2017.12.4.2
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