The Role of Habit and Trust in Driving the Continuance of QR Code Payment Usage: A Study of QRIS Consumers in Indonesia
DOI:
https://doi.org/10.35313/jmi.v5i2.273Keywords:
Technology Continuance Theory (TCT), Continuance Use, QRIS (Quick Response Indonesian Standard)Abstract
Sustaining the ongoing use of digital payment systems is a key challenge in financial innovation. This research tackles the problem by examining the factors that influence the continuance intention of the Quick Response Code Indonesian Standard (QRIS), expanding the Technology Continuance Theory (TCT) through the inclusion of trust and habit as mediating factors. Employing a quantitative methodology with a non-probability purposive sampling technique, data were collected from 938 active QRIS users and analyzed using PLS-SEM. The results demonstrate that confirmation, perceived ease of use, and satisfaction significantly cultivate trust and habit. These constructs, in turn, function as essential mediators, with habits being the principal predictor of users' continuance intention. Notably, perceived usefulness and price benefits did not exhibit a strong direct effect. This study offers two main implications. From a theoretical perspective, it enhances post-adoption models by emphasizing the significant mediating effects of trust and habit. From a practical standpoint, it recommends that providers prioritize cultivating user trust and encouraging habitual use to support long-term adoption, rather than depending solely on functional features.
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References
Aditya, R., & Ekyawan, F. (2021). Consumer Behavior Analysis in Using the Digital Payment Application. https://doi.org/10.2991/aebmr.k.210831.102
Alraimi, K. M., Zo, H., & Ciganek, A. P. (2015). Understanding the MOOCs continuance: The role of openness and reputation. Computers & Education, 80, 28–38. https://doi.org/https://doi.org/10.1016/j.compedu.2014.08.006
Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702. https://doi.org/10.1016/j.ijinfomgt.2017.05.003
Ansori, A. D., & Nugroho, S. S. (2024). The Role of Trust on the Continuance Usage Intention of Indonesian Mobile Payment Application. Gadjah Mada International Journal of Business, 26(2). https://doi.org/10.22146/gamaijb.70452
Ariffin, S. K., Rahman, M. F. R. A., Muhammad, A. M., & Zhang, Q. (2021). Understanding the Consumer’s Intention to Use the E-Wallet Services. Spanish Journal of Marketing - Esic, 25(3), 446–461. https://doi.org/10.1108/sjme-07-2021-0138
Atsbaha, A. H., Berhane, A., Ketema, B., Gebrehiwot, T., Teame, H., Alemseged, E. A., Angaw, Y., Gebremedhin, H., Gebremeskel, F., Hidru, H. D., & Gufue, Z. H. (2025). Intention to Khat Chewing Among Youths in Raya-Azebo District, Southern Zone of Tigray, Ethiopia: Application of the Theory of Planned Behavior. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1417874
Bailey, A. A., Pentina, I., Mishra, A. S., & Ben Mimoun, M. S. (2017). Mobile payments adoption by US consumers: an extended TAM. International Journal of Retail & Distribution Management, 45(6), 626–640. https://doi.org/10.1108/IJRDM-08-2016-0144
Bain and Company. (2023). Country Spotlight: Indonesia. Temasek, 1–14. https://economysea.withgoogle.com/report/
Bank Indonesia. (2019). Bank Indonesia: Navigating the National Payment Systems in Digital Era. In https://www.bi.go.id/en/publikasi/kajian/Documents/Indonesia-Payment-Systems-Blueprint-2025.pdf. www.bi.go.id
Bergmann, M., Maçada, A. C. G. A. C. G., de Oliveira Santini, F., Rasul, T., Santini, F. d. O., & Rasul, T. (2023). Continuance intention in financial technology: a framework and meta-analysis. International Journal of Bank Marketing, 41(4), 749–786. https://doi.org/10.1108/IJBM-04-2022-0168
Beura, D., Naveen, L., Prusty, S. K., Nanda, A. P., & Rout, C. K. (2023). Digital Payment Continuance Intention Using Mecm: The Role of Perceived Experience. International Journal of Professional Business Review, 8(6), e02145. https://doi.org/10.26668/businessreview/2023.v8i6.2145
Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201–214. https://doi.org/10.1016/S0167-9236(01)00111-7
Bhattacherjee, A. (2001b). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly: Management Information Systems, 25(3), 351–370.
Bitner, M., Brown, S., & Meuter, M. (2000). Technology Infusion in Service Encounters. Journal of The Academy of Marketing Science - J ACAD MARK SCI, 28, 138–149. https://doi.org/10.1177/0092070300281013
Cao, X., Yu, L., Liu, Z., Gong, M., & Luqman, A. (2018). Understanding Mobile Payment Users’ Continuance Intention: A Trust Transfer Perspective. Internet Research, 28(2), 456–476. https://doi.org/10.1108/intr-11-2016-0359
Chaw, L. Y., Tang, C. M., & Ali, M. (2024). Driving Factors Behind Mobile Payment App Users’ Continuance Intention: Insights for Service Providers in Malaysia. Journal of Systems and Information Technology, 26(2), 212–233. https://doi.org/10.1108/jsit-03-2023-0043
Chawla, D., & Joshi, H. (2019). Consumer Attitude and Intention to Adopt Mobile Wallet in India – An Empirical Study. The International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/ijbm-09-2018-0256
Chen, Y., & Barnes, S. J. (2007). Initial Trust and Online Buyer Behaviour. Industrial Management & Data Systems, 107(1), 21–36. https://doi.org/10.1108/02635570710719034
Coning, J. A. D., Rothmann, S., & Stander, M. W. (2019). Do Wage and Wage Satisfaction Compensate for the Effects of a Dissatisfying Job on Life Satisfaction? Sa Journal of Industrial Psychology, 45. https://doi.org/10.4102/sajip.v45i0.1552
Dang, V. T., Nguyen, N., Nguy?n, H. V., Nguyen, H., Huy, L. Van, Tran, V. T., & Nguyen, T. H. (2021). Consumer Attitudes Toward Facial recognition Payment: An examination of Antecedents and Outcomes. The International Journal of Bank Marketing, 40(3), 511–535. https://doi.org/10.1108/ijbm-04-2021-0135
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. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Effendy, F., Hurriyati, R., & Hendrayati, H. (2021). Perceived Usefulness, Perceived Ease of Use, and Social Influence: Intention to Use E-Wallet. https://doi.org/10.2991/aebmr.k.210831.060
Eren, B. A. (2022). QR code m-payment from a customer experience perspective. Journal of Financial Services Marketing, Bunmark 2017. https://doi.org/10.1057/s41264-022-00186-5
Fan, J., Shao, M., Li, Y., & Huang, X. (2018). Understanding users’ attitude toward mobile payment use. Industrial Management & Data Systems, 118(3), 524–540. https://doi.org/10.1108/IMDS-06-2017-0268
Febriyanti, M., Ulza, E., Salma, U., & Azizah, A. (2024). DATASET ON DETERMINANTS OF USE MOBILE PAYMENT ( QRIS ) AMONGST GENERATION Z t 1 INTRODUCTION 2 THEORETICAL BASIS Value of the Data 1 . The data set describes Financial Innovation , Ease of Use , and Financial Risk in mobile payment ( QRIS ) adoption as da. 1–9.
Fitriyah, F., Hermawan, A., & Sudarsono, N. (2023). The Impact of Financial Literacy, Financial Attitudes and Financial Behaviour on MSMEs Growth. International Journal of Science Technology & Management, 4(6), 1560–1566. https://doi.org/10.46729/ijstm.v4i6.979
Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015–1033. https://doi.org/10.1108/JEIM-10-2018-0237
Frost, J. (2020). The economic forces driving fintech adoption across countries. The Technological Revolution in Financial Services: How Banks, FinTechs, and Customers Win Together, 838, 70–89. https://doi.org/10.2139/ssrn.3515326
Guo, Z., Liu, G., Zhi-guo, L., & Khan, A. (2023). Evaluating the Determinants of Young Runners’ Continuance Intentions Toward Wearable Devices. Hightech and Innovation Journal, 4(4), 720–738. https://doi.org/10.28991/hij-2023-04-04-02
Ha, M. T., Tran, K. T., Sakka, G., & Ahmed, Z. U. (2023). Understanding Perceived Risk Factors Toward Mobile Payment Usage by Employing Extended Technology Continuance Theory: A Vietnamese Consumers’ Perspective. Journal of Asia Business Studies, 18(1), 158–182. https://doi.org/10.1108/jabs-01-2023-0025
Habib, A., Pramana, E., Junaedi, H., & Ronando, E. (2025). Extending the Expectation Confirmation Model to Examine Continuous Use Mobile Banking: Security, Trust, and Convenience. Intensif Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 9(1), 76–96. https://doi.org/10.29407/intensif.v9i1.23751
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027
Hair, J. F., Hult, G. T. M. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. In Practical Assessment, Research and Evaluation (Vol. 21, Issue 1). https://doi.org/10.1007/978-3-030-80519-7
Hair, J. F., 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
Hair Jr, J., Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2023). Advanced issues in partial least squares structural equation modeling. saGe publications.
Halim, N. A. A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., & Nawaser, K. (2022). Understanding the determinants of e-wallet continuance usage intention in Malaysia. Quality and Quantity, 56(5), 3413–3439. https://doi.org/10.1007/s11135-021-01276-7
Hamzah, M. I., Ramli, F. A. A., & Shaw, N. (2023). The moderating influence of brand image on consumers’ adoption of QR-code e-wallets. Journal of Retailing and Consumer Services, 73(March), 103326. https://doi.org/10.1016/j.jretconser.2023.103326
Hanafiah?, M. H. (2020). Formative vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research. International Journal of Analysis and Applications. https://doi.org/10.28924/2291-8639-18-2020-876
Handarkho, Y. D., Harjoseputro, Y., Samodra, J. E., & Irianto, A. B. P. (2021). Understanding proximity mobile payment continuance usage in Indonesia from a habit perspective. Journal of Asia Business Studies, 15(3), 420–440. https://doi.org/10.1108/JABS-02-2020-0046
Hassan, M. A., Shukur, Z., & Hasan, M. K. (2021). Electronic Wallet Payment System in Malaysia BT - Data Analytics and Management (A. Khanna, D. Gupta, Z. Pólkowski, S. Bhattacharyya, & O. Castillo (eds.); pp. 711–736). Springer Singapore.
He, L., & Li, C. (2023). Continuance Intention to Use Mobile Learning for Second Language Acquisition Based on the Technology Acceptance Model and Self-Determination Theory. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1185851
Henseler, J., Hubona, G. S., & Ray, P. A. (2016). Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/imds-09-2015-0382
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). 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
Hoehle, H., Huff, S., & Goode, S. (2012). The Role of Continuous Trust in Information Systems Continuance. Journal of Computer Information Systems, 52(4), 1–9. https://doi.org/10.1080/08874417.2012.11645571
Huang, C., Huang, S.-F., Chen, Y.-T., Chang, C.-H., Chien, H.-C., Chang, Y., Huang, K., & Guo, J. (2025). Applicability of the Decomposed Theory of Planned Behavior for the Evaluation of Community-Dwelling Older Adults’ Acceptance in Continuous Usage of Robot-Assisted Board Games for Cognitive Training. Digital Health, 11. https://doi.org/10.1177/20552076241312576
Istijanto, & Handoko, I. (2022). Customers’ Continuance Usage of Mobile Payment During the COVID-19 Pandemic. Spanish Journal of Marketing - Esic, 26(3), 345–362. https://doi.org/10.1108/sjme-02-2022-0016
Jensen, J. M. (2012). Shopping orientation and online travel shopping: The role of travel experience. International Journal of Tourism Research, 14(1), 56–70. https://doi.org/https://doi.org/10.1002/jtr.835
Jeong, H. (2023). Exploring Learner Acceptance of ChatGPT for Educational Utilization: Focusing on the Structural Relationships Among Perceived Ease of Use, Perceived Usefulness, Attitude, and Intention to Continuously Use. Korea University Institute of Educational Research, 89, 1–26. https://doi.org/10.24299/kier.2023.364.1
Jun, J., Cho, I., & Park, H. (2018). Factors influencing continued use of mobile easy payment service: an empirical investigation. Total Quality Management & Business Excellence, 29(9–10), 1043–1057. https://doi.org/10.1080/14783363.2018.1486550
Kang, J.-W., & Namkung, Y. (2019). The Role of Personalization on Continuance Intention in Food Service Mobile Apps. International Journal of Contemporary Hospitality Management, 31(2), 734–752. https://doi.org/10.1108/ijchm-12-2017-0783
Kar, A. K. (2020). What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model.” Information Systems Frontiers, 23(5), 1341–1361. https://doi.org/10.1007/s10796-020-10045-0
Karjaluoto, H., Jayawardhena, C., Leppäniemi, M., & Pihlström, M. (2012). How value and trust influence loyalty in wireless telecommunications industry. Telecommunications Policy, 36(8), 636–649. https://doi.org/https://doi.org/10.1016/j.telpol.2012.04.012
Kerlinger, F. N., & Lee, H. B. (2011). Foundations of Behavioral Research: The Most Sustainable Popular Textbook By Kerlinger & Lee (2000). Journal of Social Development, 13(2), 131–144.
Khahar, H. H., Zadeh, A. V., Hanifah, H., & Ramayah, T. (2025). Exploring Factors Influencing the Continued Use of Personal Cloud Computing Services: An Extended Expectation-Confirmation Model. Journal of Science and Technology Policy Management. https://doi.org/10.1108/jstpm-02-2024-0061
Khayer, A., & Bao, Y. (2019). The Continuance Usage Intention of Alipay. The Bottom Line Managing Library Finances, 32(3), 211–229. https://doi.org/10.1108/bl-07-2019-0097
Kim, B. (2012). The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents. Telecommunications Policy, 36(1), 69–81. https://doi.org/https://doi.org/10.1016/j.telpol.2011.11.011
Kim, B., Choi, M., & Han, I. (2009). User behaviors toward mobile data services: The role of perceived fee and prior experience. Expert Systems with Applications, 36(4), 8528–8536. https://doi.org/10.1016/j.eswa.2008.10.063
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
Kumar, R., Singh, R., Kumar, K., Khan, S., & Corvello, V. (2023). How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India. Sustainability (Switzerland), 15(5), 1–22. https://doi.org/10.3390/su15054053
Kutza, J.-O., Hannemann, N., Hübner, U., & Babitsch, B. (2023). The Representation of Trust in Artificial Intelligence Healthcare Research. https://doi.org/10.3233/shti230409
Lafley, A. G., & Martin, R. L. (2017). Customer loyalty is overrated. Harvard Business Review, 95(1), 45–54.
Laksamana, P., Suharyanto, S., & Cahaya, Y. F. (2022). Determining Factors of Continuance Intention in Mobile Payment: Fintech Industry Perspective. Asia Pacific Journal of Marketing and Logistics, 35(7), 1699–1718. https://doi.org/10.1108/apjml-11-2021-0851
Laurence, S., & Candiwan, C. (2020). The Role of Trust Toward Continuance Usage Intention: Of Mobile Payment With Gender as Moderation. E-Bisnis Jurnal Ilmiah Ekonomi Dan Bisnis, 13(1), 64–73. https://doi.org/10.51903/e-bisnis.v13i1.170
Li, J., & Liang, W. (2025). Exploring the Factors Influencing Continuance Intention to Use Simulation Software in Mechatronic Engineering by Integrating the TAM and TTF Model. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-90585-0
Liao, C., Palvia, P., & Chen, J. L. (2009). Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT). International Journal of Information Management, 29(4), 309–320. https://doi.org/10.1016/j.ijinfomgt.2009.03.004
Lin, K. Y., Wang, Y. T., & Huang, T. K. (2018). What drives continued intention for mobile payment? — An expectation cost benefit theory with habit. Proceedings of the Annual Hawaii International Conference on System Sciences, 2018-Janua, 1442–1451. https://doi.org/10.24251/hicss.2018.179
Lin, T.-C., Huang, S.-L., & Hsu, C.-J. (2015). A dual-factor model of loyalty to IT product – The case of smartphones. International Journal of Information Management, 35(2), 215–228. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2015.01.001
Liu, R., Wu, J., & Yu-Buck, G. F. (2021). The influence of mobile QR code payment on payment pleasure: evidence from China. International Journal of Bank Marketing, 39(2), 337–356. https://doi.org/10.1108/IJBM-11-2020-0574
Maishita, C. B., & Abas, N. I. (2025). Factors Influencing Continuance Intention of GoFood Healthy Food Customers. 106–117. https://doi.org/10.23917/iseth.5332
Makarem, S. C., Mudambi, S. M., & Podoshen, J. S. (2009). Satisfaction in technology-enabled service encounters. Journal of Services Marketing, 23(3), 134–144. https://doi.org/10.1108/08876040910955143
Malaquias, F. F. de O., & Malaquias, R. F. (2022). The Use of Digital Financial Services and Business Performance Satisfaction in the Context of Female Entrepreneurship. Journal of Technology Management & Innovation, 17(3), 3–11. https://doi.org/10.4067/s0718-27242022000300003
Mittal, V., & Kamakura, W. A. (2001). Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics. Journal of Marketing Research, 38(1), 131–142. https://doi.org/10.1509/jmkr.38.1.131.18832
Muna, N., Sukresna, I. M., & Muna, N. (2024). Post-Adoption Model of Mobile Payment in Indonesia: Integration of UTAUT2 and the Dedication-Constraint Perspective. International Journal of Data and Network Science, 8(2), 967–976. https://doi.org/10.5267/j.ijdns.2023.12.010
Nandru, P., Senthilkumar, S., & Madhavaiah, C. (2023). Adoption Intention of Mobile QR Code Payment System Among Marginalized Street Vendors: An Empirical Investigation From an Emerging Economy. Journal of Science and Technology Policy Management, 15(6), 1709–1733. https://doi.org/10.1108/jstpm-03-2023-0035
Naz, S., Li, C., Zaman, U., & Rafiq, M. (2020). Linking Proactive Personality and Entrepreneurial Intentions: A Serial Mediation Model Involving Broader and Specific Self-Efficacy. Journal of Open Innovation Technology Market and Complexity, 6(4), 166. https://doi.org/10.3390/joitmc6040166
Nguyen, N., Cao, T. K., Dang, P. L., & Nguyen, H. A. T. (2016). Predicting Consumer Intention to Use Mobile Payment Services: Empirical Evidence From Vietnam. International Journal of Marketing Studies, 8(1), 117. https://doi.org/10.5539/ijms.v8n1p117
Ong, D. (2019). Analisis Penggunaan Sistem Barcode Untuk Mendukung Paperless Dalam Meningkatkan Keuntungan Finansial Dan Operasional. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 5(1), 1–6. https://doi.org/10.33480/jitk.v5i1.587
Pal, A., Herath, T., De’, R., & Rao, H. R. (2020a). Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: insights from adopters in India. Information Technology for Development, 26(2), 394–420. https://doi.org/10.1080/02681102.2019.1701969
Pal, A., Herath, T., De’, R., & Rao, H. R. (2020b). 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
Pan, M.-Y., Choi, P.-H., & Jun, J. (2023). A Study on Continuous Use Intention of Travel Platform in China: Application of Extended Technology Acceptance Model. Asia-Pacific Journal of Convergent Research Interchange, 9(8), 123–136. https://doi.org/10.47116/apjcri.2023.08.11
Patil, P. P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding Consumer Adoption of Mobile Payment in India: Extending Meta-Utaut Model With Personal Innovativeness, Anxiety, Trust, and Grievance Redressal. International Journal of Information Management, 54, 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144
Patnaik, A., Kudal, P., Dawar, S., Inamdar, V., & Dawar, P. (2023). Exploring User Acceptance of Digital Payments in India: An Empirical Study Using an Extended Technology Acceptance Model in the Fintech Landscape. International Journal of Sustainable Development and Planning, 18(8), 2587–2597. https://doi.org/10.18280/ijsdp.180831
Phipps, D. J., Saarinen, M., Green, W. T., Lintunen, T., Knittle, K., & Hagger, M. S. (2025). Predicting Physical Activity Intentions, Habits, and Action Plans in Finnish Parent–Child Dyads. Scandinavian Journal of Medicine and Science in Sports, 35(2). https://doi.org/10.1111/sms.70028
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. In Journal of Applied Psychology (Vol. 88, Issue 5, pp. 879–903). American Psychological Association. https://doi.org/10.1037/0021-9010.88.5.879
Pradana, F. A., & Marsasi, E. G. (2024). Footwear Industry Investigation: The Impact of Attitude and Habits on Use Intention in Generation Z Based on Theory of Planned Behavior. Jurnal Aplikasi Manajemen, 22(4), 1113–1134. https://doi.org/10.21776/ub.jam.2024.022.04.13
Pratiwi, R. E., & Saefullah, K. (2022). The Use of Payment Technology Through Financial Literacy. 42–51. https://doi.org/10.24198/digits.v1i1.38516
Putra, R. A., Ahmad, S., & Rahman, F. M. (2023). The Influence of Perceived Usefulness and Perceived Ease of Use on Behavioral Intention on Brimo Application Users in Bengkulu City. Journal of Economics Finance and Management Studies, 06(12). https://doi.org/10.47191/jefms/v6-i12-18
Rabaa’i, A. A., Maati, S. A. Al, & Muhammad, N. B. (2024). Understanding Mobile Payments Through the Lens of Innovation Resistance and Planned Behavior Theories. Uncertain Supply Chain Management, 12(1), 45–64. https://doi.org/10.5267/j.uscm.2023.10.018
Rachmawati, Y., & Suyatno, S. (2021). The Effect of Principals’ Competencies on Teachers’ Job Satisfaction and Work Commitment. Participatory Educational Research, 8(1), 362–378. https://doi.org/10.17275/per.21.21.8.1
Raees, U., Shah, S. A., Khan, I. A., Elrayah, M., Albarq, A. N., Moustafa, M. A., Falah, K. A. Al, & Afaneh, J. A. A. (2025). Examining UTAUT Model for Mobile Food Ordering Applications (MOFAs): A Case Study of Food-Panda Application. International Journal of Data and Network Science, 9(1), 97–114. https://doi.org/10.5267/j.ijdns.2024.9.018
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the Acceptance of Mobile Library Applications With an Extended Technology Acceptance Model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
Rahman, S. ur, Nguyen?Viet, B., Nguyen, Y. T. H., & Kamran, S. (2024). Promoting Fintech: Driving Developing Country Consumers’ Mobile Wallet Use Through Gamification and Trust. The International Journal of Bank Marketing, 42(5), 841–869. https://doi.org/10.1108/ijbm-01-2023-0033
Ramadhan, I. F., Zulkarnain, Z., & Ananda, F. (2023). The Effect of Consumer Satisfaction on Reuse Intention of Digital Wallet Services (E-Wallet) in Indonesia. International Journal of Progressive Sciences and Technologies, 38(2), 262. https://doi.org/10.52155/ijpsat.v38.2.5323
Raza, S. A., Umer, A., & Shah, N. (2017). New Determinants of Ease of Use and Perceived Usefulness for Mobile Banking Adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44. https://doi.org/10.1504/ijecrm.2017.10007744
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
Sahriana, D. Y.?;, & Rokan, M. K. (2022). Analisis Efektivitas Penggunaan QRIS (Quick Response-Code Indonesian Standard) Untuk Mendukung Paperless Di PT. Bank Syariah Indonesia KCP Medan Padang Bulan. Journal Economy and Currency Study (JECS), 4(2), 1–11. https://doi.org/10.51178/jecs.v4i2.664
Salem, S. F., & Alanadoly, A. B. (2023). Driving Customer Engagement and Citizenship Behaviour in Omnichannel Retailing: Evidence From the Fashion Sector. Spanish Journal of Marketing - Esic, 28(1), 98–122. https://doi.org/10.1108/sjme-10-2022-0220
Santo, P. E., Cardoso, P. A., Augusto, L., Santos, S., & Oliveira, A. (2022). Influence of Age on Relationship With Websites. Journal of Information Systems Engineering & Management, 7(4), 18230. https://doi.org/10.55267/iadt.07.12567
Setiawan, B., Nugraha, D. P., Irawan, A., Nathan, R. J., & Zoltan, Z. (2021). User innovativeness and fintech adoption in indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 7(3). https://doi.org/10.3390/joitmc7030188
Shankar, A., & Datta, B. (2018). Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective. Global Business Review, 19(3_suppl), S72–S89. https://doi.org/10.1177/0972150918757870
Sharma, S. K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65–75. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2018.09.013
Sholihah, E., & Ariyani, D. (2023). Generation Z Cashless Preferences in the Post Covid-19 Pandemic Era: Identifying the Continuity of Digital Payment Usage. Business Management Analysis Journal (Bmaj), 6(2), 203–225. https://doi.org/10.24176/bmaj.v6i2.11046
Sidanti, H., Kadi, D. C. A., Purwanto, H., & Lestari, W. S. (2022). The Effect of Easy Perception and Security Perception on the Intention of Using Shopeepay Through Attitude as Intervening Variables in Madiun. International Journal of Science Technology & Management, 3(1), 215–228. https://doi.org/10.46729/ijstm.v3i1.430
Sihombing, A. P., Bangsawan, S., & Pandjaitan, D. R. H. (2024). Analysis of QRIS Users in Indonesia Society in the Cashless. Journal of Economics Finance and Management Studies, 07(04). https://doi.org/10.47191/jefms/v7-i4-17
Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What Drives FinTech Adoption? A Multi-Method Evaluation Using an Adapted Technology Acceptance Model. Management Decision, 58(8), 1675–1697. https://doi.org/10.1108/md-09-2019-1318
Soelasih, Y., & Sumani, S. (2022). The Factors of Millennials’ Continuance Intention to Use Digital Wallets in Indonesia. Binus Business Review, 13(3), 315–323. https://doi.org/10.21512/bbr.v13i3.8561
Sreelakshmi, C. C., & Prathap, S. K. (2020). Continuance Adoption of Mobile-Based Payments in Covid-19 Context: An Integrated Framework of Health Belief Model and Expectation Confirmation Model. International Journal of Pervasive Computing and Communications, 16(4), 351–369. https://doi.org/10.1108/ijpcc-06-2020-0069
Su, Y.-Y., Paradis, K., & Kuo, Y. (2023). Indonesian Generation Z Embrace Digital Payments for Convenience and Discounts. 671–683. https://doi.org/10.2991/978-2-38476-052-7_73
Sulistyaningsih, H., & Hanggraeni, D. (2021). The Impact of Technological, Organisational, Environmental Factors on The Adoption of QR Code Indonesian Standard and Micro Small Medium Enterprise Performance. Turkish Journal of Computer and Mathematics Education, 12(14), 5325–5341.
Syah, D. H., Dongoran, F. R., Nugrahadi, E. W., & 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
To, A. T., & Tr?nh, T. H. M. (2021). Understanding Behavioral Intention to Use Mobile Wallets in Vietnam: Extending the Tam Model With Trust and Enjoyment. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2021.1891661
Tsai, H.-T., Chien, J.-L., & Tsai, M.-T. (2014). The influences of system usability and user satisfaction on continued Internet banking services usage intention: empirical evidence from Taiwan. Electronic Commerce Research, 14(2), 137–169. https://doi.org/10.1007/s10660-014-9136-5
Ulle, R. S. (2025). Impact of Demonetization (2016) on Digital Payment Growth in India. Interantional Journal of Scientific Research in Engineering and Management, 09(02), 1–9. https://doi.org/10.55041/ijsrem41678
U?akl?, A., & Küçükergi?n, K. G. (2018). Using Partial Least Squares Structural Equation Modeling in Hospitality and Tourism. International Journal of Contemporary Hospitality Management, 30(11), 3462–3512. https://doi.org/10.1108/ijchm-11-2017-0753
Venkatesh, V., & Davis, F. D. . (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46?2?(May 2014), 186–204.
Venkatesh, V. Y. L. J. X. X. (2016). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. 36(1), 1–23.
Wu, Y.-L., Li, E. Y., & Chang, W.-L. (2016). Nurturing user creative performance in social media networks. Internet Research, 26(4), 869–900. https://doi.org/10.1108/IntR-10-2014-0239
Yadav, P., Jain, A., Pathak, N., & Sharma, N. (2024). Investigating the Behavior of Consumers Using Digital Payment: Comparative Study Between Rural and Urban Areas. Intelligent Decision Technologies, 18(3), 2353–2370. https://doi.org/10.3233/idt-240659
Yan, L.-Y., Tan, G. W., Loh, X.-M., Hew, J.-J., & Ooi, K. (2021). QR Code and Mobile Payment: The Disruptive Forces in Retail. Journal of Retailing and Consumer Services, 58, 102300. https://doi.org/10.1016/j.jretconser.2020.102300
Zhang, H., Lu, Y., Gupta, S., & Gao, P. (2015). Understanding group-buying websites continuance. Internet Research, 25(5), 767–793. https://doi.org/10.1108/IntR-05-2014-0127
Zhao, G., Cheng, Y., Liu, X., & Meng, W. (2022). Sustaining eSports Industry and Regulatory Focus: Empirical Evidence From Chinese Universities. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.907050
Zhou, T. (2011). An empirical examination of users’ post-adoption behaviour of mobile services. Behaviour & Information Technology, 30(2), 241–250. https://doi.org/10.1080/0144929X.2010.543702
Zhou, W., Tsiga, Z., Li, B., Zheng, S., & Jiang, S. (2018). What influence users’ e-finance continuance intention? The moderating role of trust. Industrial Management & Data Systems, 118(8), 1647–1670. https://doi.org/10.1108/IMDS-12-2017-0602
Zhu, D., 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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