THE INFLUENCE OF PERCEIVED EASE OF USE AND PERCEIVED USEFULNESS ON FINTECH USER LOYALTY MODERATED BY TRUST
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Abstract
The rapid growth of financial technology (fintech) in Indonesia has changed the landscape of financial services, particularly among younger generations, with 78% of Millennials and Gen Z using fintech applications daily. However, retaining customer loyalty remains a challenge due to growing competition and concerns about security, privacy, and reliability. This study looks at how perceived ease of use, perceived usefulness, and trust affect Fintech user loyalty in Indonesia. This study examines the influence of perceived ease of use, perceived usefulness, and trust on Fintech user loyalty in Indonesia. A quantitative research method was used, using a structured questionnaire that was distributed online to 121 active Fintech payment services users. SmartPLS 4.0 software was used for Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze data. The results show that while perceived usefulness greatly increases loyalty, perceived ease of use has a positive but insignificant effect on Fintech user loyalty. As expected, trust has no moderating effect on the association between these parameters and user loyalty, indicating that loyalty is shaped independently by them. These results highlight the importance of perceived usefulness in fostering Fintech user loyalty and emphasize the need for providers to focus on delivering tangible benefits to enhance user retention. Future studies should broaden the demographic focus and investigate other factors affecting user behavior in order to offer more comprehensive insights into Fintech uptake and loyalty.
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References
Abdullah, W. R. W., & Hisamudin, I. N. A. B. (2024). Adoption of Fintech in Malaysia: An Analysis of Security, Innovation, and Perceived Benefits. International Journal of Research and Innovation in Social Science, VII(2454), 1175–1189. https://doi.org/10.47772/IJRISS
Al Nawayseh, M. K. (2020). Fintech in COVID-19 and beyond: What factors are affecting customers’ choice of fintech applications? Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 1–15. https://doi.org/10.3390/joitmc6040153
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Alkhwaldi, A. F., Alharasis, E. E., Shehadeh, M., Abu-AlSondos, I. A., Oudat, M. S., & Bani Atta, A. A. (2022). Towards an Understanding of FinTech Users’ Adoption: Intention and e-Loyalty Post-COVID-19 from a Developing Country Perspective. Sustainability (Switzerland), 14(19), 1–23. https://doi.org/10.3390/su141912616
Alnsour, I. R. (2022). Impact of fintech over consumer experience and loyalty intentions: an empirical study on Jordanian Islamic Banks. Cogent Business and Management, 9(1). https://doi.org/10.1080/23311975.2022.2141098
Bregashtian, B., & S.E., M.M., CFP2, D. C. H. (2021). The Effect of Perceived Ease of Use, Usefulness and Risk on Intention to Use the Go-Food Application in Surabaya and Sidoarjo. KnE Social Sciences, 2021, 169–183. https://doi.org/10.18502/kss.v5i5.8807
Cahyadi, H., Tarigan, R. P., Masman, R. R., Trisnawati, E., & Wijaya, H. (2024). Exploring the dynamics of fintech usage behavior moderated by customer characteristics in Indonesia. International Journal of Innovative Research and Scientific Studies, 7(3), 997–1008. https://doi.org/10.53894/ijirss.v7i3.2993
Çelik, H. (2008). What determines Turkish customers’ acceptance of internet banking? International Journal of Bank Marketing, 26(5), 353–370. https://doi.org/10.1108/02652320810894406
Chau, V. S., & Ngai, L. W. L. C. (2010). The youth market for internet banking services: Perceptions, attitude and behaviour. Journal of Services Marketing, 24(1), 42–60. https://doi.org/10.1108/08876041011017880
Chen, S. C. (2003). Interpreting Dimensions of Consumer Trust in E-Commerce. 303–318.
Dang, R. (2018). Effect of Determinants of E-Retailing on Customer Satisfaction: Empirical evidences from India. International Journal of Management Studies, V(Special Issue 3), 43. https://doi.org/10.18843/ijms/v5is3/05
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, 13(3), 319–340. https://doi.org/10.5962/bhl.title.33621
Fintech.id. (2024). Asosiasi Fintech Indonesia (AFTECH).
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 1(1), 51–90.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). In SAGE Publications, Inc. (Third, Issue 1).
Hapsoro, B. B., & Kismiatun. (2022). The Effect of Perceived Ease of Use , Perceived Usefulness , and Perceived Security on E-Wallet Continuance Intention of Shopeepay Through E-Satisfaction.
Huang, S. Y. B., Lee, C. J., & Lee, S. C. (2021). Toward a unified theory of customer continuance model for financial technology chatbots. Sensors, 21(17), 1–10. https://doi.org/10.3390/s21175687
Karim, R. Al, Sobhani, F. A., Rabiul, M. K., Lepee, N. J., Kabir, M. R., & Chowdhury, M. A. M. (2022). Linking Fintech Payment Services and Customer Loyalty Intention in the Hospitality Industry: The Mediating Role of Customer Experience and Attitude. Sustainability (Switzerland), 14(24). https://doi.org/10.3390/su142416481
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283–311. https://doi.org/10.1111/j.1365-2575.2007.00269.x
Kumar, S., Li, A., Wong, H., Chauhan, H., & Shubhankar, Shobhit Oetama, I. (2023). Indonesia’s Fintech Industry is Ready to Rise. BCG Publications, March. https://www.bcg.com/publications/2023/fintech-industry-indonesia-growth
Mamonov, S. (2020). The Role of Information Technology in Fintech Innovation: Insights from the New York City Ecosystem. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12066 LNCS, 313–324. https://doi.org/10.1007/978-3-030-44999-5_26
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81
Mutambik, I. (2023). Customer Experience in Open Banking and How It Affects Loyalty Intention: A Study from Saudi Arabia. Sustainability (Switzerland), 15(14). https://doi.org/10.3390/su151410867
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275
Rahman, M. H., Das, A. C., Shak, M. S., Uddin, M. K., Alam, M. I., Anjum, N., Bony, M. N. V. Al, Alam, M., & Hassan, M. M. (2024). Research Article Transforming Customer Retention In Fintech Industry Through Predictive Analytics And Machine Learning. The American Journal Of Engineering And Technology, 06(10), 150–163.
Riyanto, G. P., & Pertiwi, W. K. (2024). Milenial dan Gen Z Dominasi Penggunaan Fintech di Indonesia. https://tekno.kompas.com/read/2024/10/16/19010047/milenial-dan-gen-z-dominasi-penggunaan-fintech-di-indonesia?lgn_method=google&google_btn=onetap
Ruslim, T. S., Wijaya, H., Siswanto, H. P., & Cahyadi, H. (2020). Pengaruh Service Quality, Satisfaction, Dan Perceived Switching Cost Terhadap Customer Loyalty Operator Seluler. Jurnal Bina Manajemen, 9(1), 1–16. https://doi.org/10.52859/jbm.v9i1.111
Shahzad, A., Zahrullail, N., Akbar, A., Mohelska, H., & Hussain, A. (2022). COVID-19’s Impact on Fintech Adoption: Behavioral Intention to Use the Financial Portal. Journal of Risk and Financial Management, 15(10). https://doi.org/10.3390/jrfm15100428
Shaw, N. (2014). The mediating influence of trust in the adoption of the mobile wallet. Journal of Retailing and Consumer Services, 21(4), 449–459. https://doi.org/10.1016/j.jretconser.2014.03.008
Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354. https://doi.org/10.1016/j.chb.2009.06.001
Skvarciany, V., & Jurevičiene, D. (2018). Factors influencing individual customers trust in internet banking: Case of Baltic states. Sustainability (Switzerland), 10(12). https://doi.org/10.3390/su10124809
Su, B. C., Wu, L. W., & Yen, Y. C. (2021). Antecedents and consequences of trust and loyalty in physical banks affecting mobile payments. Sustainability (Switzerland), 13(22). https://doi.org/10.3390/su132212368
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage : A Test of Competing Models. Information System Research.
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Wen, C., & Prybutok, V. R. (2011). An Integrated Model For Customer Online Repurchase Intention. Journal of Computer Information Systems, February 2011, 14–23. https://www.researchgate.net/publication/261510555%0AAn
Wijaya, E., & Susilawati, R. (2022). Pengaruh Persepsi Risiko dan Kepercayaan (Trust) pada Adopsi Layanan Fintech (Studi Kasus pada Layanan Pembayaran Digital Gopay). Indonesian Accounting Literacy Journal, 2(1), 202–209. https://doi.org/10.35313/ialj.v2i1.3355
Wilson, N. (2019). the Impact of Perceived Usefulness and Perceived Ease-of-Use Toward Repurchase Intention in the Indonesian E-Commerce Industry. Jurnal Manajemen Indonesia, 19(3), 241. https://doi.org/10.25124/jmi.v19i3.2412
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034