International Journal of Academic Research in Business and Social Sciences

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Sustained Interest in E-Wallet Adoption among Malaysian Consumers

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The surging prevalence of digital payment systems has heightened the curiosity to discern factors influencing the persistent inclination of Malaysian consumers towards e-wallet adoption. Consequently, this research aims to elucidate the catalysts underpinning this enduring inclination within the Malaysian context. Using a quantitative approach, data was garnered from a representative cohort of Malaysian consumers via a meticulously structured questionnaire. The investigation encompasses pivotal factors affecting e-wallet adoption, such as privacy concerns, favourable circumstances, social influence, perceived ubiquity, and customer satisfaction from the perspective of the Unified Theory of Acceptance and Use of Technology (UTAUT). By comprehensively analysing the 203 valid respondents, this research aspires to furnish profound insights into the rationale behind the sustained adoption intent of Malaysian consumers towards e-wallets. All the variables in this research showed a positive and significant effect on the continuous adoption intention of e-wallets. The findings of this research endeavour are projected to augment the extant knowledge reservoir about e-wallet acceptance and proffer pragmatic implications for e-wallet providers, policymakers, and pertinent stakeholders, thereby enhancing the advocacy and assimilation of e-wallets in Malaysia.
Abbasi, G. A., Sandran, T., Ganesan, Y., & Iranmanesh, M. (2022). Go cashless! Determinants of continuance intention to use E-wallet apps: A hybrid approach using PLS-SEM and fsQCA. Technology in Society, 68, 101937.
https://doi.org/https://doi.org/10.1016/j.techsoc.2022.101937
Al-Amri, R., Maarop, N., Jamaludin, R., Samy, G., Magalingam, P., Hassan, N. H., Ten, D. W. H., & Daud, S. M. (2018). Correlation analysis between factors influencing the usage intention of NFC mobile wallet payment. Journal of Fundamental and Applied Sciences, 10(2S), 215-228.
Al-Natour, S., Cavusoglu, H., Benbasat, I., & Aleem, U. (2020). An Empirical Investigation of the Antecedents and Consequences of Privacy Uncertainty in the Context of Mobile Apps. Information Systems Research, 31(4), 1037-1063.
https://doi.org/10.1287/isre.2020.0931
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/https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Alraimi, K. M., Zo, H., & Ciganek, A. P. (2015). Understanding the MOOCs continuance: The role of openness and reputation. Computers & Education, 80, 28-38. https://doi.org/https://doi.org/10.1016/j.compedu.2014.08.006
Bélanger, F., & James, T. L. (2020). A Theory of Multilevel Information Privacy Management for the Digital Era. Information Systems Research, 31(2), 510-536.
https://doi.org/10.1287/isre.2019.0900
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
Boonsiritomachai, W., & Pitchayadejanant, K. (2019). Determinants affecting mobile banking adoption by generation Y based on the Uni?ed Theory of Acceptance and Use of Technology Model modi?ed by the Technology Acceptance Model concept. Kasetsart Journal of Social Sciences, 40(2), 349-358.
Brick, J. M. (2011). The Future of Survey Sampling. Public Opinion Quarterly, 75(5), 872-888. https://doi.org/10.1093/poq/nfr045
Burkhardt, M. E., & Brass, D. J. (1990). Changing Patterns or Patterns of Change: The Effects of a Change in Technology on Social Network Structure and Power. Administrative Science Quarterly, 35(1), 104-127. https://doi.org/10.2307/2393552
Chawla, D., & Joshi, H. (2020). The moderating role of gender and age in the adoption of mobile wallet. foresight, 22(4), 483-504. https://doi.org/10.1108/FS-11-2019-0094
Cho, J. (2016). The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87, 75-83. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2015.12.016
Clarke III, I. (2001). Emerging value propositions for m-commerce. Journal of business strategies, 18(2), 133-148.
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous Intention to Use E-Wallet in the Context of the COVID-19 Pandemic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 132. https://www.mdpi.com/2199-8531/7/2/132
Davis, F. D. (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
de Kerviler, G., Demoulin, N. T. M., & Zidda, P. (2016). Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? Journal of Retailing and Consumer Services, 31, 334-344.
https://doi.org/https://doi.org/10.1016/j.jretconser.2016.04.011
de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931-944. https://doi.org/https://doi.org/10.1016/j.techfore.2018.09.018
Ding, Y., & Chai, K. H. (2015). Emotions and continued usage of mobile applications. Industrial Management & Data Systems, 115(5), 833-852. https://doi.org/10.1108/IMDS-11-2014-0338
Enck, W., Ongtang, M., & McDaniel, P. (2009). On lightweight mobile phone application certification Proceedings of the 16th ACM conference on Computer and communications security, Chicago, Illinois, USA.
https://doi.org/10.1145/1653662.1653691
Flavián, C., Guinaliu, M., & Lu, Y. (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
Gomes, V. (2022). Digital payments pivotal to Malaysia’s financial services industry. PwC.com. https://www.pwc.com/my/en/assets/media/pwc-in-the-news/2022/220228-theedge-digital-payments-pivotal-to-malaysias-financial-services-industry-yennie-tan.pdf
Hamzah, M. I., Ramli, F. A. A., & Shaw, N. (2023). The moderating influence of brand image on consumers' adoption of QR-code e-wallets. Journal of Retailing and Consumer Services, 73, 103326.
https://doi.org/https://doi.org/10.1016/j.jretconser.2023.103326
Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111-122.
https://doi.org/https://doi.org/10.1016/j.chb.2017.10.035
Jung, J.-H., Kwon, E., & Kim, D. H. (2020). Mobile payment service usage: U.S. consumers’ motivations and intentions. Computers in Human Behavior Reports, 1, 100008. https://doi.org/https://doi.org/10.1016/j.chbr.2020.100008
Karim, M. W., Haque, A., Ulfy, M. A., Hossain, M. A., & Anis, M. Z. (2020). Factors influencing the use of E-wallet as a payment method among Malaysian young adults. Journal of International Business and Management, 3(2), 1-12.
Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474. https://doi.org/https://doi.org/10.1016/j.chb.2017.01.001
Khan, U., & Haleem, A. (2015). Improving to Smart Organization. Journal of Manufacturing Technology Management, 26(6), 807-829. https://doi.org/10.1108/JMTM-05-2014-0062
Khechine, H., Raymond, B., & Augier, M. (2020). The adoption of a social learning system: Intrinsic value in the UTAUT model. British Journal of Educational Technology, 51(6), 2306-2325. https://doi.org/https://doi.org/10.1111/bjet.12905
Kow, Y. M., Gui, X., & Cheng, W. (2017). Special Digital Monies: The Design of Alipay and WeChat Wallet for Mobile Payment Practices in China. In R. Bernhaupt, G. Dalvi, A. Joshi, D. K. Balkrishan, J. O’Neill, & M. Winckler, Human-Computer Interaction – INTERACT 2017 Cham.
Le, X. C. (2021). What triggers mobile application-based purchase behavior during COVID-19 pandemic: evidence from Vietnam. International Journal of Emerging Markets, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJOEM-12-2020-1594
Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. J. (2015). User behaviour in QR mobile payment system: the QR Payment Acceptance Model. Technology Analysis & Strategic Management, 27(9), 1031-1049.
https://doi.org/10.1080/09537325.2015.1047757
Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: a developing country perspective. Journal of Indian Business Research, 8(3), 227-244. https://doi.org/10.1108/JIBR-10-2015-0112
Makanyeza, C., & Mutambayashata, S. (2018). Consumers’ acceptance and use of plastic money in Harare, Zimbabwe. International Journal of Bank Marketing, 36(2), 379-392. https://doi.org/10.1108/IJBM-03-2017-0044
Malik, A. N. A., & Annuar, S. N. S. (2021). The Effect of Perceived Usefulness, Perceived Ease of Use, Reward, and Perceived Risk toward E-Wallet Usage Intention. In M. H. Bilgin, H. Danis, & E. Demir, Eurasian Business and Economics Perspectives Cham.
Meena, R., & Sarabhai, S. (2023). Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps. Journal of Retailing and Consumer Services, 71, 103228. https://doi.org/https://doi.org/10.1016/j.jretconser.2022.103228
Munikrishnan, U. T., Mamun, A. A., Xin, N. K. S., Chian, H. S., & Naznen, F. (2022). Modelling the intention and adoption of cashless payment methods among the young adults in Malaysia. Journal of Science and Technology Policy Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JSTPM-04-2022-0077
Namahoot, K. S., & Jantasri, V. (2023). Integration of UTAUT model in Thailand cashless payment system adoption: the mediating role of perceived risk and trust. Journal of Science and Technology Policy Management, 14(4), 634-658. https://doi.org/10.1108/JSTPM-07-2020-0102
Okazaki, S., & Mendez, F. (2013). Perceived Ubiquity in Mobile Services. Journal of Interactive Marketing, 27(2), 98-111. https://doi.org/10.1016/j.intmar.2012.10.001
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.
https://doi.org/https://doi.org/10.1016/j.chb.2016.03.030
Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460-469.
https://doi.org/10.1177/002224378001700405
Pal, D., Vanijja, V., & Papasratorn, B. (2015). An Empirical Analysis towards the Adoption of NFC Mobile Payment System by the End User. Procedia Computer Science, 69, 13-25. https://doi.org/https://doi.org/10.1016/j.procs.2015.10.002
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2020.102144
Peng, S., Yang, A., Cao, L., Yu, S., & Xie, D. (2017). Social influence modeling using information theory in mobile social networks. Information Sciences, 379, 146-159.
https://doi.org/https://doi.org/10.1016/j.ins.2016.08.023
Qasim, A., & Abu-Shanab, E. (2016). Drivers of mobile payment acceptance: The impact of network externalities. Information Systems Frontiers, 18(5), 1021-1034. https://doi.org/10.1007/s10796-015-9598-6
Rahman, M., Ismail, I., & Bahri, S. (2020). Analysing consumer adoption of cashless payment in Malaysia. Digital Business, 1(1), 100004.
https://doi.org/https://doi.org/10.1016/j.digbus.2021.100004
Sekaran, U., & Bougie, R. (2003). Research Methods For Business, A Skill Building Approach, John Willey & Sons. Inc. New York.
Shaw, N., Eschenbrenner, B., & Brand, B. M. (2022). Towards a Mobile App Diffusion of Innovations model: A multinational study of mobile wallet adoption. Journal of Retailing and Consumer Services, 64, 102768.
https://doi.org/https://doi.org/10.1016/j.jretconser.2021.102768
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/https://doi.org/10.1016/j.chb.2009.06.001
Sivathanu, B. (2019). Adoption of digital payment systems in the era of demonetization in India. Journal of Science and Technology Policy Management, 10(1), 143-171. https://doi.org/10.1108/JSTPM-07-2017-0033
Teng, S., & Khong, K. W. (2021). Examining actual consumer usage of E-wallet: A case study of big data analytics. Computers in Human Behavior, 121, 106778.
https://doi.org/https://doi.org/10.1016/j.chb.2021.106778
Teoh Teng Tenk, M., Yew, H. C., & Heang, L. T. (2020). E-wallet Adoption: A case in Malaysia. International Journal of Research In Commerce and Management Studies (ISSN: 2582-2292), 2(2), 216-233.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
Yang, M., Mamun, A. A., Mohiuddin, M., Nawi, N. C., & Zainol, N. R. (2021). Cashless Transactions: A Study on Intention and Adoption of e-Wallets. Sustainability, 13(2), 831. https://www.mdpi.com/2071-1050/13/2/831
Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902-1911. https://doi.org/https://doi.org/10.1016/j.chb.2012.05.008
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767.
https://doi.org/https://doi.org/10.1016/j.chb.2010.01.013