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EXPLORING THE MEDIATING EFFECT OF PERCEIVED EASE OF USE AND PERCEIVED USEFULNESS ON ACTUAL ADOPTION OF MOBILE WALLETS IN MALAYSIA

Authors

  • Yee-Lee Chong
  • Tze-Kiat Lui
  • You-How Go

DOI:

https://doi.org/10.51200/mjbe.v11i1.5290

Keywords:

m-wallet, e-wallet, mobile payment, emerging markets, technology acceptance model

Abstract

Our study examines the actual adoption of mobile wallets (m-wallets) in Malaysia, with a particular emphasis on addressing the factors influencing the selection and efficient utilization of this payment method. We concentrate on the globally recognized Alipay and the locally established GrabPay. Based on the Technology Acceptance Model (TAM), the study investigates consumer-centric and technology-related factors and explores the role of Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as mediators in influencing the actual adoption of m-wallets. To compare Alipay and GrabPay, the data collection is through a survey of 632 responses and utilizing PLS-SEM and Welch's t-test for analysis. Our findings highlight the significant impact of compatibility on actual adoption, mediated by both PEOU and PU. However, personal innovativeness, mobile payment knowledge, and self-efficacy are found to have a relatively minor effect on actual adoption. GrabPay exhibits higher convenience and compatibility compared to Alipay, while personal innovativeness shows similar patterns for both platforms. Self-efficacy consistently influences adoption for both m-wallets. As compatibility is identified as the most crucial factor leading to m-wallet adoption, it is advisable for m-wallet service providers to offer a variety of services tailored to accommodate the diverse lifestyles of consumers.

Author Biographies

Yee-Lee Chong

Faculty of Business and Finance,
Universiti Tunku Abdul Rahman, Malaysia

Tze-Kiat Lui

Faculty of Business & Law,
School of Accounting & Finance
Taylor's University Lakeside Campus, Malaysia

You-How Go

Faculty of Business and Finance,
Universiti Tunku Abdul Rahman, Malaysia

References

Abrams, K. (2018). The Global Media Intelligence Report, 2018 - Insider Intelligence Trends, Forecasts & etatistics. Insider Intelligence. Retrieved from https://www.emarketer.com/content/global-media-intelligence-2018.

Amoroso, D. L., & Magnier-Watanabe, R. (2012). Building a research model for mobile wallet consumer adoption: the case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94-110.

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.

Aydin, G., & Burnaz, S. (2016). Adoption of mobile payment systems: a study on mobile wallets. Journal of Business Economics and Finance, 5(1), 73-92.

Azhar, K. (2022). etories Of The Year: Malaysia should learn from missing out on Grab. Retrieved from https://www.theedgemarkets.com/article/stories-year-malaysia-should-learn-missing-out-grab.

Aziz, A. (2019). One-time RM30 e-wallet stimulus from Govt will greatly drive adoption — Boost. Retrieved from https://www.theedgemarkets.com/article/onetime-rm30-ewallet-stimulus-govt-will-greatly-drive-adoption-%E2%80%94-boost#:~:text=KUALA%20LUMPUR%20(Oct%2011)%3A,to%20increase%20e%2Dwallet%20usage.

Bandura, A. (2006). Guide for constructing self-efficacy scales. Self-efficacy Beliefs of Adolescents, 5(1), 307-337.

Banerji, R., & Singh, A. (2022). An empirical study on consumer attitude and behavioural intention to adopt mobile wallet in India. International Journal of Electronic Banking, 3(2), 83-99.

Chaw, L. Y., Chu, A., Thong, C. L., & Tee, M. (2022). Technology Acceptance Before and After Covid Pandemic. In International Conference on Human-Computer Interaction (pp. 119-132). Springer, Cham.

Cheng, E. (2019). Millions of Chinese tourists are spurring the growth of mobile pay overseas. Retrieved from https://cnbc.com/2019/01/21/millions-of-chinese-tourists-spur-growth-of-mobile-pay-overseas.html.

Cohen, J. (1992). Quantitative methods in psychology: A power primer. In Psychological bulletin.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.

DeMers, J. (2016). New Technologies Shaping Online Marketing for the Better. Forbes. Retrieved from https://www.forbes.com/sites/jaysondemers/2016/08/15/7-new-technologies-shaping-online-marketing-for-the-better-wehope.

Digitalasia. (2018). Latest Digital in 2018 Global Report. Retrieved from https://digitalinasia.com/2018/01/31/latest-digital-in-2018-global-report/.

Fintech News Malaysia. (2019). How Cashless is Malaysia Right Now? - Fintech News Malaysia. Fintech News Malaysia. Retrieved from https://fintechnews.my/19964/payments-remittance-malaysia/cashless-malaysia-credit-debit-card-e-wallet-money/.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 1-78.

Goh, S. (2019). Grab Primed to Drive Digital Economy in Malaysia through e-Tunai Rakyat Programme. Retrieved from. https://www.grab.com/my/press/business/grab-e-tunai-rakyat-programme/.

Gomes, V. (2022). E-Wallet: Digital payments pivotal to Malaysia’s financial services industry. Retrieved from https://www.theedgemarkets.com/article/ewallet-digital-payments-pivotal-malaysias-financial-services-industry.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLe-eEM). Sage publications.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.

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.

Kaissi, N. (2021). Mobile wallets will reach 2.6 billion users in Asia Pacific by 2025 - The Asian Banker. Mobile Wallets Will Reach 2.6 Billion Users in Asia Pacific by 2025 - The Asian Banker. Retrieved from https://www.theasianbanker.com/updates-and-articles/mobile-wallet-will-reach-2.6-billion-users-in-asia-pacific-by-2025.

Kassambara, A. (2019). Comparing groups: Numerical variables (Vol. 192). Datanovia.

Kazan, E., Tan, C. W., Lim, E. T., Sørensen, C., & Damsgaard, J. (2018). Disentangling digital platform competition: The case of UK mobile payment platforms. Journal of Management Information Eystems, 35(1), 180-219.

Kenton, W. (2021). Understanding Payments. Retrieved from https://www.investopedia.com/terms/p/payment.asp.

Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.

Kline, R. B. (2011). Convergence of structural equation modeling and multilevel modeling.

Kumar, M. S., & Krishnan, D. S. G. (2020). Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioural Intension to Use (BIU): Mediating effect of Attitude toward Use (AU) with reference to Mobile wallet Acceptance and Adoption in Rural India.

Kumari, P. R., & Lodha, A. (2021). Moderating effect of self-efficacy and social influence on e-payments adoption among Indian millennials. International Journal of Technology Marketing, 15(2-3), 203-222.

Lee, Z. W., & Daniel, K. P. T. (2018). Transforming Mobile Phones into E-Wallets in Malaysia. Retrieved from https://www.bnm.gov.my/documents/20124/767010/p7.pdf.

Mitra, S. (2019). Buy, eell or Wind Up – emall Digital Payments Firms Face Harsh Reality. Retrieved from https://www.moneycontrol.com/news/business/startup/buy-sell-or-wind-up-small-digital-payments-firms-face-harsh-reality-4575021.html.

Moghavvemi, S., Mei, T. X., Phoong, S. W., & Phoong, S. Y. (2021). Drivers and barriers of mobile payment adoption: Malaysian merchants' perspective. Journal of Retailing and Consumer Services, 59, 1-12.

Mohd Sah, N. F., Mat Shah, N. S., Azmi, F. S., & Hassan, N. D. (2021). A study on the acceptance of e-wallet apps usage amidst mobile phone users in Klang Valley. Advances in Business Research International Journal, 7(3), 65-72.

Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.

Moorthy, K., Chun T'ing, L., Chea Yee, K., Wen Huey, A., Joe In, L., Chyi Feng, P., & Jia Yi, T. (2020). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance & Economics, 25(3), 349-364.

Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of E-wallet among the Y generation in Surabaya based on technology acceptance model. Jurnal Teknik Industri, 22(1), 17-24.

PYMNTS. (2018). Today In Data: Ending 2018, Predicting 2019. Today In Data: Ending 2018, Predicting 2019. Retrieved from https://www.pymnts.com/today-in-data/2018/payments-commerce-retail-predictions-new-year/.

Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. Die diffusion von Innovationen in der Telekommunikation, 25-38.

Shin, D. H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428-438.

Sinha, M., Majra, H., Hutchins, J., & Saxena, R. (2019). Mobile payments in India: the privacy factor. International Journal of Bank Marketing, 37(1), 192-209.

Statista. (2020). emartphone penetration rate as share of the population in Malaysia from 2010 to 2020 and a forecast up to 2025. Retrieved from https://www.statista.com/statistics/625418/smartphone-user-penetration-in-malaysia/.

Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967.

Tan, J. Y. (2019). Nielsen sees security concerns as main barrier to e-wallet adoption | Digital News Asia. Digital News Asia; www.digitalnewsasia.com. Retrieved from https://www.digitalnewsasia.com/digital-economy/nielsen-sees-security-concerns-main-barrier-e-wallet-adoption.

The Edge Markets. (2021). E-Wallet Trends in Malaysia. The Edge Markets; https://www.theedgemarkets.com/content/advertise/ewallet-trends-malaysia.

Vodus. (2021). Malaysian eWallet Landscape in 2021. Retrieved from https://vodus.com/article/malaysian-ewallet-landscape-in-2021#:~:text=eWallet%20Usage%20in%20Malaysia&text=From%20the%20ethnicity%20standpoint%2C%202,than%20the%20older%20age%20groupsWorld Population Review. (2022). Kuala Lumpur Population 2022 (Demographics, Maps, Graphs). Kuala Lumpur Population 2022 (Demographics, Maps, Graphs); worldpopulationreview.com. Retrieved from https://worldpopulationreview.com/world-cities/kuala-lumpur-population.

Yang, K. (2010). The effects of technology self-efficacy and innovativeness on consumer mobile data service adoption between American and Korean consumers. Journal of International Consumer Marketing, 22(2), 117-127.

Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.

Published

2024-06-30 — Updated on 2024-09-12

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How to Cite

Yee-Lee Chong, Tze-Kiat Lui, & You-How Go. (2024). EXPLORING THE MEDIATING EFFECT OF PERCEIVED EASE OF USE AND PERCEIVED USEFULNESS ON ACTUAL ADOPTION OF MOBILE WALLETS IN MALAYSIA. Malaysian Journal of Business and Economics (MJBE), 11(1). https://doi.org/10.51200/mjbe.v11i1.5290 (Original work published June 30, 2024)
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