In the advanced technology world, there is a noticeable increase in cashless transactions in our daily lives. Due to that, fintech products such as E-Wallets are mushrooming and well-known worldwide to replace from cash-based to cashless. Mostly, the user is coming from generation Y around 25 to 29 years old. This study examines the factor influencing E-Wallet adoption among Malaysian young adults. Extended Technology Acceptance Model has been used as a theory in this study. For the methodology, researchers use quantitative methods by distributing questionnaires to UiTM graduates via online platform. Data were analyzed using the Statistical Package Social Science (SPSS). The results of this study indicate that perceived usefulness, social agent, and privacy and security are significant factors influencing the adoption of E-Wallets among Malaysian young adults. This research aids digital marketplace service providers in better providing the benefits of using an E-Wallet for transactions.
Alswaigh, N. Y. (2021). Factors Affecting User Adoption of E-Payment Services Available in
Mobile Wallets in Saudi Arabia. IJCSNS International Journal of Computer Science and Network Security, 21(6), 222
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.
Batra, R., & Kalra, N. (2016). Are digital wallets the new currency?. Journal of Management
and Technology, 11(1), 29-30.
Barry, M., & Jan, M. T. (2018). Factors Influencing the Use of MCommerce: An Extended Technology Acceptance Model Perspective. International Journal of Economics, Management and Accounting, 26(1), 157-183.
Blockchains. (2018). Growing use of digital wallets [Summary of studies by country]. Retrieved June 02, 2021, from http://bcmy.io/blog/growing-use-of-digital-wallets-summary-of-studies-by-country/
Cliquet, G., Gonzalez, C., Hure, E., & Picot-Coupey, K. (2015). From Mobile Phone to Smartphone: What’s New About M-Shopping? Ideas in Marketing: Finding the New and Polishing the Old (pp. 199-202). Springer, Cham.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Shin, D. H. (2009). Towards and understanding of the consumer acceptance of mobile wallet, Computers in Human Behavior, 25(6), 1343-1354.
Digital Wallet. (2019). Retrieved from Wikipedia: https://en.wikipedia.org/wiki/Digital_wallet
Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
Ganeshwaran, K. (2019). CEO: Time for e-wallet environment to consolidate. The Star. https://www.thestar.com.my/business/business-news/2019/06/19/ceo-time-for-ewallet-environment-to-consolidate.
Gokilavani, R., Kumar, D. V., Durgarani, M., & Mahalakhsmi, R. (2018). Can India Move Towards Digital Sovereign Currency? A Study on Perception of Consumers Towards. International Journal of Pure and Applied Mathematics, 119(17), 2167-2175.
Hu, P. J., Chau, P. Y. K., Sheng, O. L. R., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.
Junadi, & Sfenrianto. (2015). A model of factors influencing consumer’s intention to use E- payment system in Indonesia. Procedia Computer Science, 59, 214-220.
Kabir, M. A., Saidin, S. Z., & Ahmi, A. (2017). Analysis of factors that influence electronic payment adoption. Journal of Engineering and Applied Science, 12(3).
Karim, M. W., Haque, A., Ulfy, M. A. and Hossain, M. A. and 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.
Kaur, H. (2020). Forget ‘social distancing’. The WHO prefers we call it ‘physical distancing’ because social connections are more important than ever. CNN. Retrieved October 10, 2020.
Khatimah, H., Susanto, P., & Abdullah, N. L. (2019). Hedonic Motivation and Social Influence on Behavioral Intention of E-Money: The Role of Payment Habit as A Mediator. International Journal of Entrepreneurship, 23(1), 1-9.
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610.
Krisna, M. (2017). Product adoption life cycle for Mobile wallets in India. Noteworthy
- The Journal Blog.
Kumar, A., & Lim, H. (2008). Age Differences in Mobile Service Perceptions: Comparison of Generation Y and Baby Boomers. Journal of Services Marketing, 22(7), 568-577. https://doi.org/10.1108/08876040810909695
Kumari, K., & Yadav, S. (2018). Linear Regression Analysis Study. Journal of The Practice of Cardiovascular Sciences, 4(1), 33.
Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of enterprise information management, 32(1), 118-151.
Laywilla, E., Kartar Singh, J. S., & Yin Fah, B. C. (2020). Drivers of Intention to Adopt Mobile Wallet: A Quantitative Study Among Females in Jakarta. International Journal of Academic Research in Business and Social Sciences, 10(11).
Leng, G., & Lada, S. (2011). An Exploration of Social Networking Sites (SNS) Adoption in Malaysia Using Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) And Intrinsic Motivation. Journal of Internet Banking & Commerce, 16(2), 1-27.
Lwoga, E. T., & Lwoga, N. B. (2017). User acceptance of mobile payment: The effects of user-centric security, system characteristics and gender. The Electric Journal of Information Systems in Developing Countries, 81(3), 1-24.
Madan, K., & Yadav, R. (2016). Behavioral Intention to Adopt Mobile Wallet: A Developing Country Perspective. Journal of Indian Business Research, 8(3), 227-244.
Mastor, H. (2021). Factors that Affect the Usage of E-wallet Among Youth: A Study at a Public Institution of Higher Learning in South Sarawak. Advanced International Journal of Business, Entrepreneurship and SMEs, 3(7), 40-48.
Megadewandanu, S., Suyoto, & Pranowo. (2017). Exploring mobile wallet adoption in Indonesia using UTAUT2: An approach from consumer perspective. Proceedings - 2016 2nd International Conference on Science and Technology-Computer, ICST 2016, 11-16. https://doi.org/10.1109/ICSTC.2016.7877340
Milberg, S. J., Smith, H. J., & Bruke, S. J. (2000). Information privacy: Corporate management and national regulation. Organization science, 11(1), 35-57.
Nizam, F., Hwang, H. J., & Valaei, N. (2018). Measuring the Effectiveness of E-Wallet in Malaysia. 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering (pp. 59-69). Springer, Cham.
Our Statista Research Department. (2020). Smartphones - Statistics & Facts.Retrieved from Statista: https://www.statista.com/topics/840/smartphones/
Prabhakaran, S., Vasantha, D. S., & Sarika, P. (2020). Effect of social influence on intention to use mobile wallet with the mediating effect of promotional benefits. Journal of Xi'an University of Architecture & Technology, 12, 3003-3019.
Raimee, N., Maheswaran, L., Santhini Appannan, J., & Radzi, N. M. (2021). Adoption of Digital Wallet: Influencing Factors among Undergraduates in Malaysia, International Journal of Business and Technology Management, 3(2).
Rathore, H. S. (2016). Adoption of digital wallet by consumers. Journal of Management Research, 8(1), 69-75.
Ray, A. (2017). What are the different types of e-commerce payment systems? Retrieved on May 25, 2018.
Schwartz, W. (2019). Descriptive Psychology and the Person Concept: Essential Attributes of Persons and Behavior. Academic Press.
Sekaran, U., & Bougie, R. (2010). Research methods for business: A skill building approach. (5th ed.). New York: John Wiley & Sons, Inc.
Slade, E., Williams, M. D., Dwivedi, Y., & Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209-223.
Sudeep, S. (2007). Internet banking and customer acceptance: The Indian scenario, PhD thesis, Cochin University of Science and Technology.
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston: Pearson.
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.
Teo, S. C., Law, P. L., & Koo, A. C. (2020). Factors Affecting Adoption Of E- Wallets Among Youths In
Malaysia. Journal of Information System and Technology Management, 5(19), 39-50. https://doi.org/10.35631/jistm.519004
Uddin, M. S., & Akhi, A. Y. (2014). E-wallet system for Bangladesh an electronic payment system. International Journal of Modeling and Optimization, 4(3), 216-226.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Wulantika, L., & Zein, S. R. (2020). E-Wallet Effects on Community Behavior. IOP Conference Series: Materials Science and Engineering, 879(1). https://doi.org/10.1088/1757-899X/879/1/012121
Yang, S. Q., Lu, Y. B., Gupta, S., Cao, Y. Z., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioural beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.
Yaokumah, W., Kumah, P., & Okai, E. A. (2017). Demographic influences on e-payment services. Journal of E-Business Research, 13(1), 44-65.
Yeh, M. L., & Tseng, Y. L. (2017). The College Students' Behavior Intention of Using Mobile Payments in Taiwan: An Exploratory Research. Singapore, Semantic Scholar Org.
Yennie, T. (2018). Banking on the e-wallet in Malaysia. PwC Malaysia.
https://www.pwc.com/my/en/perspective/deal-strategy/181003-banking-on-the-e-wallet-in-malaysia.html
Yi, M., and Hwang, Y. (2003). Systems: self-efficacy, enjoyment, learning goal orientation and the technology acceptance model, International Journal of Human-Computer Studies, 59, 431-449.
Yong, C., Kong, X., Lee, Y., Lim Sin, V. A., Ong, Y. I., Ping, C., Tunku, U., & Rahman, A. (2018). Moving into Cashless Society: Factors Affecting Adoption of E-wallet.
Zhao, W., & Othman, M. N. (2010). Predicting and Explaining Complaint Intention and Behavior of Malaysian Consumers: An Application of the Planned Behavior Theory. Advances in International Marketing, 9(1), 229-2
