The Digital Shift: COVID-19 as a Catalyst for Mobile Payment Adoption in Malaysia

Authors

DOI:

https://doi.org/10.37075/FABA.2025.2.03

Keywords:

Mobile payment, Technology Acceptance Model, Perceived usefulness, Perceived COVID-19 risk, Subjective norms, Malaysia, Digital finance, Behavioural intention

Abstract

Purpose: This study aims to investigate the underlying factors influencing the behavioural intention of Malaysians to adopt mobile payment during the COVID-19 pandemic, focusing specifically on the effect of both technological and situational variables, namely perceived usefulness, perceived ease of use, subjective norms, and perceived COVID-19 risk.

Design/Methodology/Approach: A quantitative research design was employed using a structured online survey to gather data from 393 Malaysian respondents. The study extends the Technology Acceptance Model (TAM) by integrating constructs from the Theory of Reasoned Action (TRA) and situational risk factors related to COVID-19. Multiple regression analysis was used to test the influence of each variable on the behavioural intention to adopt mobile payment.

Findings: The results show that all four variables- perceived usefulness, perceived ease of use, subjective norms, and perceived COVID-19 risk - significantly influence the behavioural intention to adopt mobile payment. Among these, perceived usefulness exhibited the strongest effect. These findings suggest that Malaysians' adoption of mobile payment is driven more by functional utility and ease of use, with situational awareness of health risk also contributing positively.

Practical Implications: The findings imply that banks and e-wallet providers should focus on enhancing the perceived usefulness and ease of use of their platforms while also highlighting the health and safety benefits of cashless transactions. Policymakers and stakeholders may also use these insights to promote broader digital payment adoption as part of national financial inclusion and health safety agendas.

Originality/Value: This study contributes to the field by including situational risk variable, perceived COVID-19 risk, into the extended TAM framework. It offers timely insights into consumer technology adoption behaviour under public health crises, specifically within the Malaysian context.

Keywords: Mobile payment; Technology Acceptance Model; Perceived usefulness; Perceived COVID-19 risk; Subjective norms; Malaysia; Digital finance; Behavioural intention

Paper Type: Research Paper.

Downloads

Download data is not yet available.

References

AGC. 2006. Age of Majority Act 1957 (Act 21) Incorporating all amendments up to 1 January 2006: The Commissioner of Law Revision, Malaysia. http://www.commonlii.org/my/legis/consol_act/aoma1971153/

Ahmad Adzri, A. H. S., B. M. Anuar Shah, M. A. Rana, and R. Y. Raja Nerina. 2019. The Role of Technology Acceptance Model on RHB Mobile Banking. International Journal of Scientific & Technology Research, 8(11): 493-495. https://www.researchgate.net/publication/338065863

Ahmad Iqbal, H. S., and A. H. Mohd Shahrulnizam. 2018. Determinants of Branchless Digital Banking Acceptance Among Generation Y in Malaysia. 2018 IEEE Conference on e-Learning, e-Management and e-Services (IC3e), 103-108. https://doi.org/10.1109/IC3e.2018.8632626.

Ajibade, P. 2018. Technology Acceptance Model Limitations and Criticisms: Exploring the Practical Applications and Use in Technology-related Studies, Mixed-method, and Qualitative Researches. Library Philosophy and Practice (e-journal). https://core.ac.uk/download/pdf/189486068.pdf

Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2): 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Al-Qudah, A. A., A. M. Al-Okaily, A. A. Shiyyab, O. Taha, D. A. Almajali, R. Masa’deh, and T. Warrad. 2024. Determinants of digital payment adoption among Generation Z, evidence from Malaysia. Journal of Risk and Financial Management, 17(11), 521. https://doi.org/10.3390/jrfm17110521

Baber, H. 2021. Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea. The International Journal of Management Education, 19(2): 100503. https://doi.org/10.1016/j.ijme.2021.100503

Balakrishnan, V. S. 2023. Going cashless? Elucidating predictors for mobile payment readiness and intention to adopt among Malaysians. SAGE Open, 13(4): 1–17. https://doi.org/10.1177/21582440231215111

Balakrishnan, V., and M. S. Nor Liyana. 2021. Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia. Technology in Society, 65: 101554. https://doi.org/10.1016/j.techsoc.2021.101554

Bank Negara Malaysia. 2021. Annual Report 2020. https://www.bnm.gov.my/bnm-annual-report

Bank Negara Malaysia. 2022. Financial Sector Blueprint 2022–2026: Building the future of finance. Bank Negara Malaysia. bnm.gov.my/documents/20124/5915429/fsb3_en_book.pdf

Bank Negara Malaysia. December 23, 2019. Interoperable Credit Transfer Framework. https://www.bnm.gov.my/-/interoperable-credit-transfer-framework-ictf-3

Bank Negara Malaysia. (n.d.a). List of Non-Bank E-Money Issuers. https://www.bnm.gov.my/non-bank-e-money-issuers.

Bauer, R. A. 1960. ‘Consumer behavior as risk taking’. In Marketing: Critical Perspectives on Business and Management by Baker, M. J., 2001. Routlegde, London.

Bernama. “COVID-19 Pandemic Accelerates Adoption of Cashless Transactions.” Bernama, 2020. https://www.bernama.com/en/general/news_covid-19.php?id=1869084

Daragmeh, A., C. Lentner, and J. Sági. 2021. FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32: 100574. https://doi.org/10.1016/j.jbef.2021.100574

Davis, F. R. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3): 319-340. https://doi.org/10.2307/249008

Deloitte. 20 April, 2022. Impact of COVID-19 crisis on short- and medium-term consumer behavior: Will the COVID-19 crisis have a lasting effect on consumption?

Drost, E. 2011. Validity and Reliability in Social Science Research. Education Research and Perspectives, 38: 105–124. https://www.researchgate.net/publication/261473819

Faramarzi, A., S. Norouzi, H. Dehdarirad, S. Aghlmand, H. Yusefzadeh, and J. Javan-Noughabi. 2024. The global economic burden of COVID-19 disease: a comprehensive systematic review and meta-analysis. Systematic reviews, 13(1), 68. https://doi.org/10.1186/s13643-024-02476-6

Flavián, C., M. Guinaliu, and Y. Lu. 2020. Mobile payments adoption – introducing mindfulness to better understand consumer behavior. International Journal of Bank Marketing, 38(7): 1575-1599. https://doi.org/10.1108/IJBM-01-2020-0039

George, D., and P. Mallery. 2003. “SPSS for Windows Step by Step: A Simple Guide and Reference”, 11.0 Update (4th Edition) (4th ed.). Allyn & Bacon.

Hajazi, M. U. A., S. S. Chan, S. A. Ya’kob, F. Siali, and H. Abdul Latip. 2021. Usage Intention of QR Mobile Payment System Among Millennials in Malaysia. International Journal of Academic Research in Business and Social Sciences, 11(1): 645–661. http://dx.doi.org/10.6007/IJARBSS/v11-i1/8494

Hill, R. J. 1977. Review: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research by Martin Fishbein and Icek Ajzen. Contemporary Sociology, 6(2): 244-245. https://doi.org/10.2307/2065853

Intarot, P., and C. Beokhaimook. 2018. Influencing Factor in E-Wallet Acceptant and Use. International Journal of Business and Administrative Studies, 4(4): 167-175. https://dx.doi.org/10.20469/ijbas.4.10004-4

Irianto, A. B. P., and Chanvarasuth, P. 2025. Drivers and barriers of mobile payment adoption among MSMEs: Insights from Indonesia. Journal of Risk and Financial Management, 18(5), 251. https://doi.org/10.3390/jrfm18050251

Ishak, N. 2020. Overview of Cashless Payment in Malaysia. International Journal of Accounting, Finance and Business (IJAFB), 5(27): 11-18. http://www.ijafb.com/PDF/IJAFB-2020-27-06-02.pdf

Karim, M., W. A. Haque, M. A. Ulfy, M. A. Hossain, and M. Z. Anis. 2020. Factors Influencing the Use of E-wallet as a Payment Method among Malaysian Young Adults. Journal of International Business and Management, 3(2): 01-12.

Krejcie, R. V., and D. W. Morgan. 1970. Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3): 607-610. https://doi.org/10.1177/001316447003000308

Kusumawati, N., and A., A. Rinaldi. 2020. Trust Role in Acceptance of Digital Banking in Indonesia. International Journal of Trade, Economics and Finance, 11(1): 13-18. https://doi.org/10.18178/ijtef.2020.11.1.659

Lim, F. W., A. Fakhrorazi, A. and I. Rabiul. 2019. Consumers’ Parsimony of Mobile Internet Banking Usage in Malaysia. Humanities & Social Sciences Reviews, 7(1): 239-248. https://doi.org/10.18510/hssr.2019.7128

Malay Mail. August 27, 2020. Deputy minister: RM495m in e-Penjana funds paid out to 9.9 million Malaysians. https://www.malaymail.com/news/malaysia/2020/08/27/deputy-minister-rm495m-in-e-penjana-funds-paid-out-to-9.9-million-malaysian/1897638

Mohamad, S. A., & S. Kassim S. 2017. An Overview of E-Payment Adoption Among Muslim Micro-Entrepreneurs in Malaysia. International Journal of Accounting, 2(5): 49-59. http://www.ijafb.com/PDF/IJAFB-2017-05-09-05.pdf

Mohd Reza, M. D. S., S. H. Tan, L. L. Chong, and H. B. Ong. 2024. Continuance usage intention of e-wallets: Insights from merchants. International Journal of Information Management Data Insights, 4(2), 100254. https://doi.org/10.1016/j.jjimei.2024.100254

Natarajan, T., S. A. Balasburamanian, and D. L. Kasilingam. 2018. The moderating role of device type and age of users on the intention to use mobile shopping applications. Technology in Society, 53: 79-90. https://doi.org/10.1016/j.techsoc.2018.01.003

New Straits Times. March 16, 2020. 14-day Movement Control Order begins nationwide on Wednesday. https://www.nst.com.my/news/nation/2020/03/575180/14-day-movement-control-order-begins-nationwide-wednesday

Nguyen, M. T., N. Nguyen-Thanh, and D. T. Duy. 2025. Exploring mobile money adoption in Vietnam: Insights from payment technology and demographic dynamics. Social Sciences & Humanities Open, 15(1), 101421. https://doi.org/10.1016/j.ssaho.2025.101421

Nguyen, O. T. 2020. Factors Affecting the Intention to Use Digital Banking in Vietnam. Journal of Asian Finance, Economics and Business, 7(3): 303-310. https://doi.org/10.13106/jafeb.2020.vol7.no3.303

Norulhuda, A., R. Fauziah, and A. D. Nor. 2020. E-wallet: factors influencing user acceptance towards cashless society in Malaysia among public universities. Indonesian Journal of Electrical Engineering and Computer Science, 20(1): 67-74. https://doi.org/10.11591/ijeecs.v20.i1.pp67-74

Osman, S., and T. P. Leng. 2020. Factors influencing behavioural intention for mobile banking adoption among students of Universiti Putra Malaysia. Malaysian Journal of Consumer and Family Economics, 24: 79-100.

Owais, A. G. 2020. Predictors of E-banking Service Adoption in Malaysia Using an Extended Technology Acceptance Model. International Journal of Contemporary Management and Information Technology, 1(1): 23-29. https://ijcmit.com/wp-content/uploads/2020/12/Owais-G.pdf

PayNet. (n.d.). Retail Payments Platform (RPP). https://paynet.my/fi-rpp.html

Pearson, K. 1895. VII. Note on regression and inheritance in the case of two parents. Proceedings of the royal society of London, 58(347-352), 240-242. https://doi.org/10.1098/rspl.1895.0041

Phuong, N. N. D., L. T. Luan, V. V. Dong, and N. L. N. Khanh. 2020. Examining Customers' Continuance Intentions towards E-wallet Usage: The Emergence of Mobile Payment Acceptance in Vietnam. The Journal of Asian Finance, Economics and Business, 7(9): 505-516. https://doi.org/10.13106/jafeb.2020.vol7.no9.505

Popkova, E., P. DeLo, and B. S. Sergi. 2021. Corporate Social Responsibility Amid Social Distancing During the COVID-19 Crisis: BRICS vs. OECD Countries. Research in International Business and Finance, 55: 101315. https://doi.org/10.1016/j.ribaf.2020.101315

Rahman, M. T., A. F. Khafaga, A. A. Shehata, E. I. Azhar, H. M. Hafez, F. Bovera, Y. A. Attia, M.S. Islam, and S. Basiouni. 2022. Influence of COVID-19 on the sustainability of livestock performance and welfare on a global scale. Tropical Animal Health and Production, 54(5). https://doi.org/10.1007/s11250-022-03256-x

Ramos De Luna, I., F. Montoro-Ríos, S. Molinillo, and F. Liébana-Cabanillas. 2023. Consumer Behaviour and Mobile Payments in the Point of Sale: Exploring the Determinants of Intention to Adopt It. International Journal of Human–Computer Interaction, 40(18), 5350–5372. https://doi.org/10.1080/10447318.2023.2233135

Riddell, S., S. Goldie, A. Hill, D. Eagles, and W. Drew. 2020. The effect of temperature on persistence of SARS-CoV-2 on common surfaces. Virology Journal, 17: 145. https://doi.org/10.1186/s12985-020-01418-7

Rogers, E. M. 1995. Diffusion of Innovations: Modifications of a Model for Telecommunications. In: Stoetzer MW., Mahler A. (eds) Die Diffusion von Innovationen in der Telekommunikation. Springer Online Journal. https://doi.org/10.1007/978-3-642-79868-9_2

Sukendro, S., A. Habibi, K. Khaeruddin, B. Indrayana, S. Syahruddin, F. A. Makadada, and H. Hakim. 2020. Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon, 6(11): e05410. https://doi.org/10.1016/j.heliyon.2020.e05410

Syed, S. A., O. Nor Asiah, M. A. Ahmad Azmi, and N. H. Nik Mohd Hazrul. 2018. Integrating TPB, TAM and DOI Theories: An Empirical Evidence for the Adoption of Mobile Banking among Customers in Klang Valley, Malaysia. International Journal of Business and Management Science, 8(2): 385-403. https://www.researchgate.net/publication/331501885

Syuhaili, O., and P. L. Tan. 2020. Factors Influencing Behavioural Intention for Mobile Banking Adoption Among Students of Universiti Putra Malaysia. Malaysian Journal of Consumer and Family Economics, 24 (1). 79 - 100. ISSN 1511-2802.

Tang, C.-S., E. K. Paleologos, C. Vitone, Y.-J. Du, J.-S. Li, N.-J. Jiang, Y.-F. Deng, J. Chu, Z. Shen, E. Koda, A. Dominijanni, X. Fei, M. D. Vaverková, P. Osiński, X. Chen, A. Asadi, M. R. H. Takeuchi, M. W. Bo, H. Abuel-Naga, E.-C. Leong, A. Farid, T. Baser, B. C. O’Kelly, B. Jha, V. S. N. S. Goli, and D. N. Singh. “Environmental Geotechnics: Challenges and Opportunities in the Post-Covid-19 World.” Environmental Geotechnics, 2021, 8(3): 172–192. https://doi.org/10.1680/jenge.20.00054

Teoh, T., T., C. Y. Hoo, and T. H. Lee. 2020. E-Wallet Adoption: A Case in Malaysia. International Journal of Research in Commerce and Management Studies, 2(2): 216-233.

Tian, Y., and K. Y. Chan. 2024. Predictors of mobile payment use applications from the extended Technology Acceptance Model, does self-efficacy and trust matter. SAGE Open, 14(4): 1–15. https://doi.org/10.1177/21582440241292525

Tiong, W. N. 2020. Factors Influencing Behavioural Intention Towards Adoption of Digital Banking Services in Malaysia. International Journal of Asian Social Science, 10(8): 450-457. http://dx.doi.org/10.18488/journal.1.2020.108.450.457

Trivedi, J. 2016. Factors Determining the Acceptance of E-Wallet. International Journal of Applied Marketing, 1(2): 42-53. https://www.researchgate.net/publication/312198449

Ventakesh, V. and F. R. Davis. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2): 169-332. https://doi.org/10.1287/mnsc.46.2.186.11926

World Economic Forum. May 6, 2020. How digital payments can help countries cope with COVID-19, other pandemics: Lessons from China. https://www.weforum.org/agenda/2020/05/digital-payments-cash-and-covid-19-pandemics/

World Population Review. 2021. Malaysia Population 2021 (Live). https://worldpopulationreview.com/countries/malaysia-population

Yeow, P. M., K. Haliyana, and D. Nadarajah. 2017. Millennials’ Perception on Mobile Payment Services in Malaysia. Procedia Computer Science, 124: 397-404. https://doi.org/10.1016/j.procs.2017.12.170

Zahoor, U. R., and A. S. Fazal. 2020. Critical Factors Influencing the Behavioral Intention of Consumers towards Mobile Banking in Malaysia. Engineering, Technology & Applied Science Research, 10(1): 5265-5269. https://doi.org/10.48084/etasr.3320

Zhang, T., C. Lu, and M. Kizildag. 2018. Banking “on-the-go”: examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences, 10(3): 279-295. https://doi.org/10.1108/IJQSS-07-2017-0067

Published

2025-12-06

How to Cite

Abdul Rahim, R., & Othman, J. (2025). The Digital Shift: COVID-19 as a Catalyst for Mobile Payment Adoption in Malaysia. Finance, Accounting and Business Analysis (FABA), 7(2), 166–180. https://doi.org/10.37075/FABA.2025.2.03

Issue

Section

Articles

Most read articles by the same author(s)

Similar Articles

1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.