CONTINUANCE INTENTION OF MOBILE BANKING SERVICES AMONG GENERATION Y

  • Muhammad Asyraf Hasim Universiti Tun Hussein Onn Malaysia

Abstract

In recent years, especially during the COVID-19 pandemic, more people have been using mobile banking services. Mobile banking will grow in the long run as long as people keep using it. Thus, the objective of this study was to investigate what factors affect Generation Y (Gen-Y) customers continuance intention to utilize mobile banking services. These factors include perceived usefulness, perceived risk, and security. The researcher also evaluated their level of intention to use these services. This study used quantitative methods by distributing online questionnaires in Google form to Gen-Y users who used mobile banking services in Johor, Malaysia. Respondents are Gen-Y born between 1981 and 1996 who are 26 and 41 years old in year 2022. Data were computed using Statistical Packages for Social Science software. Multiple regression analyses were done to determine how the dependent and independent variables were related. The results showed that perceived usefulness, security, and perceived risk have a positive relationship with continuance intention. There was a high level of Gen-Y intention to keep using mobile banking services in the future. This study could give financial institutions valuable ideas for improving and developing their services.

References

A case study of Zain-Kuwait. Computers in Human Behavior, 49, 648–657. https://doi.org/10.1016/j.chb.2015.03.035

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., Dwivedi, Y. K., Rana, N. P. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/JEIM-04-2015-0035

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

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

Al-Maroof, R. A. S., & Al-Emran, M. (2018). Students’ acceptance of google classroom: An exploratory study using PLS-SEM approach. International

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

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.

Aydin, G. (2016). Adoption of mobile payment systems: a study on mobile wallets. Pressacademia, 5(1), 73–73. https://doi.org/10.17261/pressacademia.2016116555

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Patil, P., & Dwivedi, Y. K. (2019). An integrated model for m-banking adoption in Saudi Arabia. International Journal of Bank Marketing, 37(2), 452–478. https://doi.org/10.1108/IJBM-07-2018-0183

Bakar, R. A., Aziz, N. A., Muhammud, A., & Muda, M. (2017). Perceived Ease of Use, Security and Privacy of Mobile Banking. International Journal of Business and Social Research, 2(1), 56–62.

Baker-Eveleth, L., & Stone, R. W. (2015). Usability, expectation, confirmation, and continuance intentions to use electronic textbooks. Behaviour and Information Technology, 34(10), 992–1004. https://doi.org/10.1080/0144929X.2015.1039061

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

Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers and Education, 63, 160–175. https://doi.org/10.1016/j.compedu.2012.12.003

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

Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3

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

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

Gitau, L., & Nzuki, D. (2014). Analysis of Determinants of M-Commerce Adoption by Online Consumers. International Journal of Business, Humanities and Technology, 4(3), 88–94.

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

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

Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571. https://doi.org/10.1016/j.jbusres.2008.06.016

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. (2013). 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

Jaradat, M.-I. R., & Al Rababaa, M. S. (2013). Assessing Key Factors that Influence the Acceptance of Mobile Commerce Based on Modified UTAUT. International Journal of Business and Management, 8(23), 102–112. https://doi.org/10.5539/ijbm.v8n23p102

Kailani, M., & Kumar, R. (2011). Investigating Uncertainty Avoidance and Perceived Risk for Impacting Internet Buying: A Study in Three National Cultures. International Journal of Business and Management, 6(5), 76–92. https://doi.org/10.5539/ijbm.v6n5p76

Kalakota, R., & Whinston, A. B. (1997). Electronic Commerce: A Manager’s Guide Table of Contents.

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

Lafraxo, Y., Hadri, F., Amhal, H., & Rossafi, A. (2018). The effect of trust, perceived risk and security on the adoption of mobile banking in Morocco. ICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems, 497–502. https://doi.org/10.5220/0006675604970502

Li, H., & Liu, Y. (2014). Understanding post-adoption behaviors of e-service users in the context of online travel services. Information and Management, 51(8), 1043–1052. https://doi.org/10.1016/j.im.2014.07.004

Lim, W. M. (2014). Sense of virtual community and perceived critical mass in online group buying. In Journal of Strategic Marketing (Vol. 22, Issue 3, pp. 268–283). Taylor & Francis. https://doi.org/10.1080/0965254X.2013.876068

Lin, W. S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70(7), 498–507. https://doi.org/10.1016/j.ijhcs.2012.01.006

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. Muk, A., & Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1–6. https://doi.org/10.1016/j.jbusres.2014.06.001

Muk, A., & Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1–6. https://doi.org/10.1016/j.jbusres.2014.06.001

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

Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118–127. https://doi.org/10.1016/j.chb.2014.05.048

Poon, W. C. (2008). Users’ adoption of e-banking services: The Malaysian perspective. Journal of Business and Industrial Marketing, 23(1), 59–69. https://doi.org/10.1108/08858620810841498

Rivat, C., Rodrigues, S., Bruyneel, E., Piétu, G., Robert, A., Redeuilh, G., Bracke, M., Gespach, C., & Attoub, S. (2005). Erratum: Implication of STAT3 signaling in human colonic cancer cells during intestinal trefoil factor 3 (TFF3)- and vascular endothelial growth factor-mediated cellular invasion and tumor growth (Cancer Research (January 1, 2005) 65 (195-202)). Cancer Research, 65(6), 2505. https://doi.org/10.1158/0008-5472.

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

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

Vakulenko, Y., Hellström, D., & Oghazi, P. (2018). Customer value in self-service kiosks: a systematic literature review. International Journal of Retail and Distribution Management, 46(5), 507–527. https://doi.org/10.1108/IJRDM-04-2017-0084

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

Wu, J. H., & Wang, S. C. (2005). 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

Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431–449. https://doi.org/10.1016/S1071-5819(03)00114-9

Zhou, T. (2012). Examining mobile banking user adoption from the perspectives of trust and flow experience. Information Technology and Management, 13(1), 27–37. https://doi.org/10.1007/s10799-011-0111-8
Published
2023-10-31
How to Cite
HASIM, Muhammad Asyraf. CONTINUANCE INTENTION OF MOBILE BANKING SERVICES AMONG GENERATION Y. Journal of Academia, [S.l.], v. 11, n. 2, p. 64-76, oct. 2023. ISSN 2289-6368. Available at: <https://myjms.mohe.gov.my/index.php/joa/article/view/23417>. Date accessed: 17 apr. 2024.
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