Adoption of digital wallet: Influencing factors among undergraduates in Malaysia
List of Authors
  • Logeswary Maheswaran , Nuraishah Raimee

Keyword
  • Digital Wallet, Smartphone, Malaysia, Adoption, Undergraduate

Abstract
  • In the present world, smartphones play an essential role in the daily life of many people. The technological advancement has made smartphones as devices for digital users to make money transactions or payments by using applications installed in the smartphone. Therefore, the article focuses on the adoption of digital wallet among undergraduates. Our paper also discusses some of the risks and challenges faced by the undergraduates in using a digital wallet. This study methodology is based on the qualitative method. Focus group interview will be conducted with undergraduate students. The study revealed that device compatibility, convenient to use, ease of use, cashback and reward, and strongly influence the use the digital wallet. use the digital wallet. This paper presents the findings of this study by suggesting and providing some implication on how service providers could improve their product and service to ensure alignment with students' preferences.

Reference
  • 1. Apanasevic, T. (2013). Factors Influencing the Slow Rate of Penetration of NFC Mobile Payment in Western Europe. ICMB, (pg. 8). Western Europe.

    2. Aydin, G. (2016). Adoption of mobile payment systems: a study on mobile wallets. Journal of Business, Economics and Finance.

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

    4. Barnes and Noble College. (n.d.). Getting to know Gen Z: Exploring middle and High Schoolers' expectation for higher education.

    5. Barton, C., Fromm, J., & Egan, C. (2012). The Millennial Consumer: Debunking Stereotypes. The Boston Consulting Group.

    6. Burns, A., & Bush, R. (2014). Marketing Research, 7th Edition. Pearson.

    7. Chauhan, M., & Shingari, I. (2017). Future of e- Wallets: A Perspective from Graduates. International Journal of Advanced Research in Computer Science and Software Engineering.

    8. Chauhan, S. (2017). A meta-analysis of the impact of technology on learning effectiveness of elementary students. Computers & Education, 105.

    9. Commision, M. C. (2017). Hand Phone Users Survey 2017. Cyberjaya, Selangor: Malaysian Communications and Multimedia Commission.

    10. Commission, M. C. (n.d.). Malaysian Communications and Multimedia Commission. Retrieved from https://www.mcmc.gov.my/en/home

    11. Deci, E., Vallerand, R., Pelletier, L., & Ryan, R. (1991). Motivation and education: The self- determination perspective. Educational Psychologist, 325-346.

    12. Farag, S., Schwanen, T., Dijst, M., & Faber, J. (2007). Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping. Transportation Research Part A: Policy and Practice, 41(2), 125-141.

    13. Fishbein, M., & Ajzen , I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley.

    14. Fraenkel, J., & Wallen, N. (2006). How to Design and Evaluate Research in Education. McGraw- Hill.

    15. Hu, T., Poston, R., & Kettinger, W. (2011). Nonadopters of Online Social Network Services: Is It Easy to Have Fun Yet? Communications of the Association for Information Systems, 29.

    16. Kane, G. (2017). Modern Elementary Partice Physics: Explaning and Extending the Standard Model. Cambridge University Press.

    17. Erickson, K. (2013). The Mobile Wallet: What it Does and Why it Matters. Retrieved October 2014.

    18. Kim, Y., & Han, J. (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior.

    19. Malaysian Communications and Multimedia Commission. (2018). e-Commerce Consumers Survey 2018. Cyberjaya, Selangor: Malaysian Communications and Multimedia Commission.

    20. Menendez, M.-d., Diaz, C., & Menendez, R. (2020). Educational expriences with Generation Z. International Journal on Interactive Design and Manufacturing, 847 - 859.

    21. Our Statista Research Department. (2020, March 12). Smartphones - Stastistics & Facts. Retrieved from Statista: https://www.statista.com/topics/840/smartphones/

    22. Puiu, S. (2017). Generation Z—an educational and managerial perspective. Young Economists Journal / Revista Tinerilor Economisti, 14(29), 62-72.

    23. PWC. (2018). Banking on the e-wallet in Malaysia.

    24. Rogers, E. (2003). Diffusion of Innovations. New York: Free Press.

    25. Rowland, K., & Shrauger, K. (2013). The coming new way to pay. Aba Bank Marketing.

    26. Ryan , R., & Connell, J. (1989). Perceived locus of causality and internalization: Examining reasons for acting in two domains. Journal of personality and social psychology, 57(5), 749.

    27. Ryan, R., & Deci, E. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78.

    28. Schierz, G. P., Schilke, O., & Wirtz, B. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications , 209-216.

    29. Schoeneman, F., Mahapatra, S., Chandola, V., Napp, N., & Zola, J. (2017). Error metrics for learning reliable manifolds from streaming data. Proceedings of the 2017 SIAM International Conference on Data Mining (pp. 750-758). Society for Industrial and Applied Mathematics.

    30. Seam, A., Reddy, R. S., Agrawal, S., Chaitanya, B. K., Bist , H., Safdar, S., . . . Rao, P. H. (2017). Factors affecting consumer's choice to use mobile watllet to access m-commerce industry in India. International Journal on Customer Relations, 14-21.

    31. Varnali, K., Yilmaz, C., & Toker, A. (2011). Predictors of attitudinal and behavioral outcomes in mobile advertising: A field experiment. Electronic Commerce Research and Applications, 570-581.

    32. Venketesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.