Main Article Content
Abstract
Digital transformation in the financial sector encourages the use of payment systems rather than cash methods, such as QRIS (Quick Response Code Indonesian Standard). However, behavioral intentions to use QRIS routinely still face challenges, particularly regarding user perceptions and attitudes. This study aims to analyze the influence of perceived usefulness and perceived ease of use of QRIS (perceived ease of use) on the intention to use QRIS regularly (behavioral intention to use), with a positive attitude toward QRIS's benefits and ease (attitude toward using) as a mediating variable. A quantitative approach was used through a survey of 160 respondents who lived in one of the apartments in Tebet, South Jakarta, who were actively using QRIS. The analysis was carried out using SmartPLS software version 4.1.1.2 with the Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis method. The results showed that the benefits obtained and the ease of use of QRIS had a significant effect on positive attitudes and intentions to use QRIS regularly, and that positive attitudes mediated the relationship between the two. These findings reinforce the relevance of the Technology Acceptance Model (TAM) for cashless payments in urban areas.
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References
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- Davis, F. D. (2013). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
- Gaur, P., Dias, R., Irfan, M., Galvao, R., & Alexandre, P. (2025). Evaluation and Assessment of the Impact of the Adoption of Digital Payment in India through the Technology Acceptance Model ( TAM ). Journal of Posthumanism, 5(6), 752–777. https://doi.org/10.63332/joph.v5i6.2130
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- Usman, O. (2020). Structural Equation Modeling: Partial Least Squares. UNJ PRESS.
- Usman, O., & Marsofiyati. (2019). Research Methodology. PT. Expanding Management, 1.
- Yan, L., Tan, G. W., Loh, X., Hew, J., & Ooi, K. (2021). QR code and mobile payment: The disruptive forces in retail. Journal of Retailing and Consumer Services, 58(September 2020), 102300. https://doi.org/10.1016/j.jretconser.2020.102300
- Zhao, Y., & Bacao, F. (2021). How Does the Pandemic Facilitate Mobile Payment? An Investigation on Users' Perspective under the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18, 1016. https://doi.org/10.3390/ijerph18031016
References
Al-Qaysi, N., Mohamad Nordin, N., & Al-Emran, M. (2020). Employing the technology acceptance model in social media: A systematic review. Education and Information Technologies, 25. https://doi.org/10.1007/s10639-020-10197-1
Bakhitah, A., Indra, R., Halim, W., Ferbian, V., & Hidayat, Z. (2023). QRIS as a Driver of Product Distribution Flows in Indonesia: Factors of Consumer Purchasing Behavior in the Use of Fintech Payments. Journal of Distribution Science, 12, 59–69. https://doi.org/10.15722/jds.21.12.202312.59
Conner, M., & Norman, P. (2022). Understanding the intention-behavior gap: The role of intention strength. Frontiers in Psychology, 13, 923464. https://doi.org/10.3389/fpsyg.2022.923464
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. (2013). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
Gaur, P., Dias, R., Irfan, M., Galvao, R., & Alexandre, P. (2025). Evaluation and Assessment of the Impact of the Adoption of Digital Payment in India through the Technology Acceptance Model ( TAM ). Journal of Posthumanism, 5(6), 752–777. https://doi.org/10.63332/joph.v5i6.2130
George, A., & Sunny, P. (2022). Why do people continue to use mobile wallets? An empirical analysis amid the COVID-19 pandemic. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-022-00174-9
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).
Ishlahiyah, A. (2025). Growing 167 Percent, Jakarta Residents Increasingly Depend on QRIS.
Jati, A. G. N., Margono, F. P., Ardiyono, T. A., & Wulansari, A. (2023). The Technology Acceptance Model guides the use of Qris in MSMEs in Surabaya. Djtechno: Journal of Information Technology, 4(1), 141–153. https://doi.org/10.46576/djtechno
Lisana, L. (2021). Factors influencing the adoption of mobile payment systems in Indonesia. International Journal of Web Information Systems, ahead-of-print. https://doi.org/10.1108/IJWIS-01-2021-0004
Lolowang, T., Talake, H. H. D., & Gunawan, E. M. (2024). Unlocking The Qris Impact: An Analysis Of Mobile Payment Among SMEs Using Technology Acceptance Model (TAM). EMBA Journal, 9(2), 793–803.
Mulyati, Y., Alfian, A., & Asnimar, A. (2023). The Role of Attitude in Mediating the Influence of Perceived Usefulness on Intention to Use Nagari Mobile Banking. Journal of Economics, Finance and Management Studies, 6(05). https://doi.org/10.47191/jefms/v6-i5-02
Nurrokhim, I., Khamidah, Y. A., Maghfirah, I., & Syahrenny, N. (2025). Interoperability of Digital Payment Platforms ( QRIS ) and its Effect on Micro , Small , and Medium Enterprise ( MSME ) Transaction Costs. Journal of Perspectives on Advanced New Generations of Global and Local Economic Horizons (Panggaleh), 01(3), 11–21.
Raza, A., & Tursoy, T. (2025). Technology Acceptance Model and Fintech: Evidence from the Italian Banking Industry. Mexican Journal of Economics and Finance New Epoca, 20(1), 1–21. https://doi.org/10.21919/remef.v20i1.993
Sadok, H., & Elouaourti, Z. (2025). The cash vs. digital paradox: Why financial literacy matters in uncertain times. Borsa Istanbul Review, 25(S1), 45–52. https://doi.org/10.1016/j.bir.2025.08.001
Sari, A. E. M., & Bagana, B. Daniel. (2022). Analysis of Factors Influencing Interest in Using Mobile Banking. Compact: Scientific Journal of Computerized Accounting, 15(2), 299–307. https://doi.org/10.51903/kompak.v15i2.656
Setyawati, R. E. (2020). The Effect of Perceived Usefulness, Perceived Ease of Use on Behavioral Intention To Use with Attitude Towards Using as an Intervening Variable (Case Study on Gopay in Yogyakarta City). Journal of Equestrian Science, 3(1), 1–9.
Sugiyono. (2020). Qualitative Research Methods. Alphabet, CV.
Syah, D. H., Rahman Dongoran, F., Wahyu Nugrahadi, E., & Aditia, R. (2022). Understanding the technology acceptance model in the QRIS usage: Evidence from SMEs in Indonesia. International Journal of Research in Business and Social Science (2147– 4478), 11(6), 12–19. https://doi.org/10.20525/ijrbs.v11i6.1917
Thanigan, J., Reddy, N. S., Maity, M., Sethuraman, P., & Rajesh, J. I. (2025). An integrated framework for understanding innovative digital payment adoption and continued usage by small offline retailers. Cogent Economics & Finance, 13(1), 2462442. https://doi.org/10.1080/23322039.2025.2462442
Usman, O. (2020). Structural Equation Modeling: Partial Least Squares. UNJ PRESS.
Usman, O., & Marsofiyati. (2019). Research Methodology. PT. Expanding Management, 1.
Yan, L., Tan, G. W., Loh, X., Hew, J., & Ooi, K. (2021). QR code and mobile payment: The disruptive forces in retail. Journal of Retailing and Consumer Services, 58(September 2020), 102300. https://doi.org/10.1016/j.jretconser.2020.102300
Zhao, Y., & Bacao, F. (2021). How Does the Pandemic Facilitate Mobile Payment? An Investigation on Users' Perspective under the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18, 1016. https://doi.org/10.3390/ijerph18031016