ISSN: 2225-8329
Open access
E-wallet was an innovative payment instrument that arises under financial technology. E-wallet helps to ease the user’s daily life, in which users can make their daily transactions without using the notes or coins. Indirectly, E-wallet also helps to reduce the risk of cash being stolen. Undeniably, E-wallet brings more benefits than disadvantages. The primary aim of this study is to examine the factors affecting the adoption of E-wallet services in Sarawak. The questionnaire, which consisted of 26 questions were distributed to the respondents and successfully collected 450 feedbacks. Firstly, this study applied factor analysis to construct all the variables. Also, Cronbach’s ? coefficient was computed to determine internal consistency reliabilities. Then, this study used regression analysis to test the relationship between the variables. The results of the regression analysis showed that the users would adopt E-wallet when they perceive that the E-wallet is useful and easy to be used. Meanwhile, the findings of this study also showed that rewards tend to attract users to use E-wallet. Besides that, this study also found that higher perceived risk may act as a barrier to stop users from using E-wallet. These results help the E-wallet service providers to identify the significant factors that influence the user’s intention to use E-wallet services. Lastly, this study recommended the E-wallet service providers to take the security systems and rewards into consideration for the enhancement of their payment system.
1. Ahmed, M. S., & Sajid, S. A. (2019). E-Wallet Awareness and Its Benefit among the People with Special Reference to Vellore District of Tamil Nadu – India. Vidyabharati International Interdisciplinary Research Journal 9(2): 25-31.
2. Ajzen, I. (1985). Attitudes, Personality and Behavior. USA: Open University Press
3. Ajzen, I., & Madden, T. J. (1986). Prediction of Goal-Directed Behavior: Attitudes, Intentions and Perceived Behavioral Control. Journal of Experimental Social Psychology 22(5): 453-474.
4. Alaeddin, O., Rana, A., Zainuddin, Z., & Kamarudin, F. (2018). From Physical to Digital: Investigating Consumer Behaviour of Switching to Mobile Wallet. Polish Journal of Management Studies 17(2): 18-30
5. Aransyah, M. F., Roy, J., & Aprianti, Y. (2019). Innovation Resistance and Perceive Novelty on E-Wallet Services. Paper presented at the 2nd Mulawarman International Conference on Economics and Business, 5-6 November, Samarinda, East Kalimantan, Indonesia.
6. Ibrahim, M. H., & Said, R. (2011). Disaggregated consumer prices and oil prices pass-through: evidence from Malaysia. Proceedings of the VI Malaysian National Economics Conference: Vol. 1, edited by Mansor Jusoh, Nor Aini Idris, Tamat Sarmidi, Mohd. Adib Ismail & Ahmad Mohd Yusof, 5-7 June. Malacca, Malaysia, 296-305. Che
7. 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.
8. Bauer, H. H., Barnes, S. J., Reichardt, T., & Neumann, M. M. (2005). Driving Consumer Acceptance of Mobile Marketing: A Theoretical Framework and Empirical Study. Journal of Electronic Commerce Research 6(3): 181-192.
9. Dalimunte, I., Miraja, B. A., Persada, S. P., & Prasetyo, Y. (2019). Comparing Generation Z’s Behavior Intention in Using Digital Wallet for Online and In-Store Transaction: A Unified Theory of Acceptance and Use of Technology 2 Approach. Journal of Applied Economic Studies 3(65): 660-672.
10. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13(3): 319-340.
11. Demoulin, N. T. M., & Zidda, P. (2009). Drivers of Customers’ Adoption and Adoption Timing of a New Loyalty Card in the Grocery Retail Market. Journal of Retailing 85(3): 391-405.
12. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Science 59: 451-474.
13. Fishbein, M. A., & Ajzen, I. (1992). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Canda: Addison-Wesley Publishing Company
14. Frame, W. S., & White, L. J. (2014). Technological Changes, Financial Innovation, and Diffusion in Banking.https://www.nst.com.my/news/government-public-policy/2020/01/556304/e-tunai-rakyat-application-period-starts-jan-15-free (assessed 20 February 2020).
15. Friadi, H., Sumarwan, U. & Kirbrandoko (2013). Integration of Technology Acceptance Model and Theory of Planned Behaviour of Intention to Use Electronic Money. International Journal of Science and Research 7(2): 711-716.
16. Gbongli, K., Xu, Y., & Amedjonekou, M. K. (2019). Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modelling and Neural Network Approach. Sustainability 11: 1-33.
17. Hamid, N. R. A., & Cheng, A. Y. (2013). A Risk Perception Analysis on the use of Electronic Payment Systems by Young Adult. WSEAS Transactions on Information Science and Applications 1(10): 26-35.
18. Hassan, H. (2020). Malaysia Targets Half Its Population in E-Wallet Push. https://world-news-monitor.com/money/finance/2020/01/28/malaysia-targets-half-its-population-in-e-wallet-push/ (assessed 20 February 2020).
19. Ion, M., & Alexandra, M. (2016). Financial Technology (Fintech) and Its Implementation on the Romanian Non-Banking Capital Market. SEA – Practical Application of Science 4(2): 379-384.
20. 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 Malaysia Young Adults. Journal of International Business and Management 3(2): 1-12.
21. Ker, N. (2019). These are the Top 5 E-Wallets in Malaysia in 2019. https://www.soyacincau.com/ 2019/10/31/ewallet-malaysia-best-grab-boost-touch-n-go-fave-maybank-bigpay-alipay-vcash/ (assessed 20 February 2020).
22. Khairul, A. M. D., Khidzir, N. Z., Ismail, A. R., & Abdullah, F. A. (2018). Validity and Reliability of Instrument to Measure Social Media Skills among Small and Medium Entrepreneurs at Pengkalan Datu River. International Journal of Development and Sustainability 7(3): 1026-1037.
23. Kim, D. J., & Ferrin, D. L. (2008). A Trust Based Consumer Decision-Making Model in Electronic Commerce: The Role of Trust, Perceived Risk, and Their Antecedents. Decision Support System 44(2): 1-29.
24. Lai, P. C. (2015). Perceived Risk as Extension to TAM Model: Consumers’ Intention to Use a Single Platform E-Payment. Australian Journal of Basic and Applied Sciences 9(2): 323-331.
25. Lee, M. C. (2009). Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB with Perceived Risk and Perceived Benefit. Electronic Commerce Research and Applications 8(3): 130-141.
26. Liu, G. S., & Tai, M. (2016). A Study of Factors Affecting the Intention to Use Mobile Payment Services in Vietnam. Economics World 4(6): 249-273.
27. Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action. Personality and Social Psychology Bulletin 18(1): 3-9.
28. Manikandan, S., & Jayakodi, M. (2017). An Empirical Study on Consumer Adoption of Mobile Wallet with Special Reference to Chennai City. International Journal of Research – Granthaalayah 5(5): 107-115.
29. Nag, A. K., & Gilitwala, B. (2019). E-Wallet-Factors Affecting Its Intention to Use. International Journal of Recent Technology and Engineering 8(4): 3411-3415.
30. Punwatkar, S., & Verghese, M. (2018). Adoption of E-Wallet Payment: An Empirical Study on Consumers’ Adoption Behavior in Central India. International Journal of Advanced in Management, Technology and Engineering Sciences 8(3): 1147-1156.
31. Ryu, H.S. (2018). What Makes Users Willing or Hesitant to Use Fintech? The Moderating Effect of User Type. https://doi.org/10.1108/IMDS-07-2017-0325 (assessed 19 February 2020).
32. Seetharaman, A., Kumar, K. N., Palaniappan, S., & Weber, G. (2017). Factors Influencing Behavioural Intention to Use the Mobile Wallet in Singapore. Journal of Applied Economics and Business Research 7(2): 116-136.
33. Singh, N., Sinha, N., & Liebana-Cabanillas, F. J. (2020). Determining Factors in the Adoption and Recommendation of Mobile Wallet Services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management 50: 191-205.
34. Subaramaniam, K., Kolandaisamy, R., Jalil, A., & Kolandaisamy, I. (2020). The Impact of E-Wallets for Current Generation. Journal of Advance Research in Dynamical and Control Systems 12(1): 751-759.
35. Tan, R. (2019). Leaders in e-wallet emerge. https://www.thestar.com.my/business/business-news/2019/12/02/leaders-in-e-wallet-emerge (assessed 18 February 2020)
36. Taufan, A., & Yuwono, R. T. (2019). Analysis of Factors That Affect Intention to Use E-Wallet Through the Technology Acceptance Model Approach (Case Study: GO-PAY). International Journal of Science and Research 8(7), 413-419.
37. Trivedi, J. (2016). Factors Determining the Acceptance of E-Wallets. International Journal of Applied Marketing and Management 1(2): 42-53.
38. Varsha, R., & Thulasiram, M. (2016). Acceptance of E-Wallet Services: A Study of Consumer Behavior. International Journal of Innovative Research in Management Studies 1(4): 133-141.
39. Wiese, M., & Humbani, M. (2019). Exploring Technology Readiness for Mobile Payment App User. The International Review of Retail, Distribution and Consumer Research 30: 123-142.
40. Wong, W. H., & Mo, W. Y. (2019). A Study of Consumer Intention of Mobile Payment in Hong Kong, based on Perceived Risk, Perceived Trust, Perceived Security and Perceived Trust, Perceived Security and Technological Acceptance Model. Journal of Advanced Management Sciences 7(2): 33-38.
41. Yang, Y. Q., Liu, Y., Li, H. X., & Yu, B. (2015). Understanding Perceived Risks in Mobile Payment Acceptance. Industrial Management and Data System 115(2): 253-269.
42. Yen, N. D. H. (2017). Factors Influencing Mobile Banking Adoption in Ho Chi Minh City Based on The Technology Acceptance Model. Paper presented at International Conference for Young Researchers in Economics and Business, ICYREB 2017, 30 October, Da Nang, Vietnam.
43. Yunus, R. (2018). E-wallet platforms to create ‘tsunami’ of cashless payment this year. http://themalaysianreserve.com/2018/01/23/e-wallet-platforms-createtsunami-cashless-payment-year/ (assessed 18 February 2020)
44. Zavolokina, L., Dolata, M., & Schwabe, G. (2016). FinTech – What’s in a Name? Paper presented at Thirty Seventh International Conference on Information Systems, 11-14 December 2016, Dublin, Ireland.
To cite this article: Ming, K. L. Y., Jais, M., Wen, C. C., Zaidi, N. S. (2020). Factor Affecting Adoption of E-Wallet in Sarawak, International Journal of Academic Research in Accounting, Finance and Management Sciences 10 (2): 244-256.
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