Determinants of Millennial's Continuance Intention for Mobile Banking Services in Johor
DOI:
https://doi.org/10.24191/jibe.v8i1.23138Keywords:
mobile banking, continuance intention, perceived ease of use, security, trustAbstract
Mobile banking services usage increasing in recent years, especially during the COVID-19 pandemic. The long-term development of mobile banking depends on the continuous usage of users. Therefore, the purpose of this study was to investigate the determinants that can influence the millennial generation’s continuance intention (CI) to use mobile banking services, including perceived ease of use (PEOU), security (SEC), and trust (TRU). Besides, the researchers also evaluated the level of millennials’ continuance intention for using these services. This study utilised quantitative methods by distributing the online questionnaires in Google form to the millennial users in Johor, Malaysia, by applying convenience sampling. The respondents are millennials born from 1981 until 1996 (between 27 to 42 years old in 2023). Multiple regression analyses were performed to investigate the relationship between the dependent and independent variables. The findings showed that PEOU, SEC, and TRU positively impacted CI and proved that mobile services play significant roles in customer continuance intention in service sectors, and banks are no exception. This study also intended to develop an informative idea for financial institutions to develop and enhance their performance.
References
Adrutdin, K. F., Gadar, K., Rahim, N. S. A., & Hasim, M. A. (2020). Customer Education in Islamic Banking in Malaysia. Journal of Critical Reviews, 7(8), 127–131. https://doi.org/10.31838/jcr.07.08.26
Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370–387. https://doi.org/10.1016/j.tele.2015.09.005
Akhlaq, A., & Ahmed, E. (2013). The effect of motivation on trust in the acceptance of Internet banking in a low- income country. International Journal of Bank Marketing, 31(2), 115–125. https://doi.org/10.1108/02652321311298690
Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence and Planning, 30(4), 444–459. https://doi.org/10.1108/02634501211231928
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2016). Examining adoptionof mobile Internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110. https://doi.org/10.1016/j.techsoc.2016.06.007
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
Al-ajam, A. S., & Nor, K. (2013). Internet Banking Adoption: Integrating Technology Acceptance Model and Trust. 5(3), 207–215.
Alex Rad. (2021, December 19). Technology is a double-edged sword for financial fraud risk management. The Asian Banker. https://www.theasianbanker.com/updates-and-articles/technology-a-double-edged-sword- for-financial-fraud-risk-management
Arenas-Gaitán, J., Peral-Peral, B., & Ramón-Jerónimo, M. A. (2015). Elderly and Internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce, 20(1), 1–23.
Bank Negara Malaysia (2021, October 7). Noticeable rise in mobile banking and internet banking subscribers. The Edge Markets. https://www.theedgemarkets.com/article/noticeable-rise-mobile-banking-internet- banking-subscribers
Baptista, G., & Oliveira, T. (2016). A weight and a meta-analysis on mobile banking acceptance research. Computers in Human Behavior, 63, 480–489. https://doi.org/10.1016/j.chb.2016.05.074
Barry, M., Jan, M. T., & Islamic, I. (2018). Factors Influencing the Use of M-Commerce: An Extended Technology Acceptance Model Perspective. International Journal of Economics, Management and Accounting, 26(1), 157–183.
Bhatnagar, R., Kim, J., & E. Many, J. (2014). Candidate Surveys on Program Evaluation: Examining Instrument Reliability, Validity, and Program Effectiveness. American Journal of Educational Research, 2(8), 683– 690. https://doi.org/10.12691/education-2-8-18
Brunjes, K. (2021, October 14). Age Range by Generation. Beresford Research. Retrieved from https://www.beresfordresearch.com/age-range-by-generation/
Byrne, B. M. (2013). Structural Equation Modeling with Mplus. Structural Equation Modeling with Mplus. https://doi.org/10.4324/9780203807644
Chiu, C. M., Huang, H. Y., & Yen, C. H. (2010). Antecedents of trust in online auctions. Electronic Commerce Research and Applications, 9(2), 148–159. https://doi.org/10.1016/j.elerap.2009.04.003
Chong, A. Y. L. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40(4), 1240–1247. https://doi.org/10.1016/j.eswa.2012.08.067
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165–181. https://doi.org/10.1016/j.elerap.2007.02.001
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. 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
Federation of Malaysian Consumers. (2021, April 2). Consumer alert – Scam cases are rising. FOMCA. https://www.fomca.org.my/v1/index.php/fomca-di-pentas-media/fomca-di-pentas-media-2021-21/1314- consumer-alert-scam-cases-are-rising
Goh, J. (2020, October 7). Noticeable rise in mobile banking, and internet banking subscribers. The Edge Markets. https://www.theedgemarkets.com/article/noticeable-rise-mobile-banking-internet-banking-subscribers
Goyal, V., Batra, S., Learning, O., & Suica, M. (2012). Mobile Banking in India: Practices , Challenges and Security Issues (DATABSE ACADEMIS, SEMINTIC). International Journal of Advanced Trends in Computer Science and Engineering, 1(June), 56–66.
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/10.1016/j.eswa.2009.03.024
Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps: An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 48–62. https://doi.org/10.1108/JHTT-02-2017-0013
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2010). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications. European Journal of Tourism Research, 6(2), 211– 213.
Hasim, M. A., Mahmud, K. N., Shamsudin, M. F., Hussain, H. I., & Salem, M. A. (2015). Loyalty Program and Customer Loyalty in the Banking Industry. Global Journal of Interdisciplinary Social Sciences, 15, 16-21. https://www.longdom.org/abstract/loyalty-program-customer-loyalty-in-banking-industry-2594.html
Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention. European Journal of Marketing, 37(11/12), 1762–1800. https://doi.org/10.1108/03090560310495456
Jabatan Perangkaan Malaysia (2021, November 1). Population Quick Info. Population Quick Info. Retrieved from http://pqi.stats.gov.my/searchBI.php
Kang, H., Lee, M. J., & Lee, J. K. (2012). Are You Still with Us? A Study of the Post-Adoption Determinants of Sustained Use of Mobile-Banking Services. Journal of Organizational Computing and Electronic Commerce, 22(2), 132–159. https://doi.org/10.1080/10919392.2012.667710
Karim, M. W., Ulfy, M. A., & Huda, M. N. (2020). Determining intention to use smartphone banking application among millennial cohort in Malaysia. International Journal of Management and Sustainability, 9(1), 43–53. https://doi.org/10.18488/journal.11.2020.91.43.53
Karson, M. (1968). Handbook of Methods of Applied Statistics. Volume I: Techniques of Computation Descriptive Methods, and Statistical Inference. Volume II: Planning of Surveys and Experiments. I. M. Chakravarti, R. G. Laha, and J. Roy, New York, John Wiley; 1967. Journal of the American Statistical Association, 63(323), 1047–1049. https://doi.org/10.1080/01621459.1968.11009335
Kim, B. (2010). An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model. Expert Systems with Applications, 37(10), 7033–7039. https://doi.org/10.1016/j.eswa.2010.03.015
Laukkanen, T. (2007). Internet vs mobile banking: Comparing customer value perceptions. Business Process Management Journal, 13(6), 788–797. https://doi.org/10.1108/14637150710834550
Lin, H. F. (2013). Determining the relative importance of mobile banking quality factors. Computer Standards and Interfaces, 35(2), 195–204. https://doi.org/10.1016/j.csi.2012.07.003
Ling, E. Y. Y., Sng, W., Leong, C., & Ho, S. (2021). Determinants of Mobile Banking Services Continuance Intention in Malaysia. Journal of Marketing Advances and Practices, 3(1), 2021.
Nettleton, D. (2014). Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects (The Savvy Manager's Guides) (1st ed.). Morgan Kaufmann.
Neuman, S. (2014). Bayesian analysis of data-worth considering model and parameter uncertainties. Advances in Water Resources, 36, 75–85. https://doi.org/10.1016/j.advwatres.2011.02.007
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
Singh, S., & Srivastava, R. K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357–378. https://doi.org/10.1108/IJBM-12-2016-0186
Suoranta, A. (2003). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142. https://doi.org/10.1016/j.tele.2003.05.003
Tarawneh, M., Nguyen, L. T. P., & Fie, Y. (2021). Mobile banking adoption and usage among Generation Y Malaysians. F1000Research, 10, 1170. https://doi.org/10.12688/f1000research.73459.1
Teo, A. C., Tan, G. W. H., Ooi, K. B., Hew, T. S., & Yew, K. T. (2015). The effects of convenience and speed in m-payment. Industrial Management and Data Systems, 115(2), 311–331. https://doi.org/10.1108/IMDS- 08-2014-0231
Venkatesh, V. (2000). Determinants of perceived ease of use: integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11(1), 3–11. Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh; Viaswanath, & Davis; Fred D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://www.jstor.org/stable/pdf/2634758.pdf
Venkatesh, V., Morris, M. G., Speier, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
Wang, J. H., & Lin, S. C. (2017). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719–729. https://doi.org/10.1016/j.im.2004.07.001
Xie, Y., Batra, R., & Peng, S. (2015). An extended model of preference formation between global and local brands: The roles of identity expressiveness, trust, and affect. Journal of International Marketing, 23(1), 50–71.
Yuan, S., Liu, Y., Yao, R., & Liu, J. (2016). An investigation of users’ continuance intention towards mobile banking in China. Information Development, 32(1), 20–34. https://doi.org/10.1177/0266666914522140
Yusuf Dauda, S., & Lee, J. (2015). Technology adoption: A conjoint analysis of consumers’ preference on future online banking services. Information Systems, 53, 1–15. https://doi.org/10.1016/j.is.2015.04.006
Zhao, W., & Othman, M. N. (2010). Predicting and explaining complaint intention and behaviour of Malaysian consumers: An application of the planned behaviour theory. In Advances in International Marketing (Vol. 21). Emerald. https://doi.org/10.1108/S1474-7979(2011)0000021013
Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 21(5), 527–540. https://doi.org/10.1108/10662241111176353
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
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