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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Factors Influencing Malaysian Intention to Use E-Wallets

Mohd Effendi Bin Akib, Siti Ngayesah Ab Hamid, Roshayati Abdul Hamid

http://dx.doi.org/10.6007/IJARBSS/v12-i11/15354

Open access

The study aims to determine the factors influencing Malaysian consumers to use e-wallets. Based on Roger’s diffusion of innovation theory, the conceptual framework has been developed. Five factors were hypothesised to influence intention which are relative advantage, compatibility, complexity, trialability and observability. Data were collected using a self-administered survey method. Data from 318 respondents were obtained and analysed using multiple regression. The result shows that compatibility, trialability and observability have a significant relationship with a consumer’s intention to use an e-wallet. The findings enable e-wallet service providers, marketers and policymakers to plan a suitable strategy to ensure continued usage of e-wallets among the target market.

Ajzen, I. (1988). Attitudes, personality, and behaviour. McGraw-Hill Education.
Basaruddin, N. (2019). E-Dompet Mula Diterima. Harian Metro. https://www.hmetro.com.my/bisnes/2019/07/473185/e-dompet-mula-diterima
Best, R. de. (2021). Mobile payments worldwide - statistics & facts. Statista. https://www.statista.com/topics/4872/mobile-payments-worldwide/#topicHeader__wrapper
Best, R. de. (2022). Global mobile wallet market size in 2020 with forecasts to 2025, by region. Statista. https://www.statista.com/statistics/1227576/mobile-wallet-transactions-worldwide/
Chang, S. C., & Tung, F. C. (2008). An empirical investigation of students’ behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71–83.
Cheung, W., Chang, M. K., & Lai, V. S. (2000). Prediction of internet and world wide web usage at work: A test of an extended Triandis model. Decision Support Systems, 30(1), 83–100.
Chung, K. C. (2014). Gender, culture and determinants of behavioural intents to adopt mobile commerce among the y Generation in transition economies: Evidence from Kazakhstan. Behaviour and Information Technology, 33(7), 743–756.
Dawkins, C. E., & Frass, J. W. (2005). Decision of union workers to participate in employee involvement: An application of the theory of planned behaviour. Employee Relations, 27(5), 511–531. https://doi.org/10.1108/01425450510612031
Donner, J., & Tellez, C. A. (2008). Mobile banking and economic development: Linking adoption, impact, and use. Asian Journal of Communication, 18(4), 318–322.
Duan, Y., He, Q., Feng, W., Li, D., & Fu, Z. (2010). A study on e-learning take-up intention from an innovation adoption perspective: A case in China. Computers and Education, 55(1), 237–246. https://doi.org/10.1016/j.compedu.2010.01.009
Duane, A., O’Reilly, P., & Andreev, P. (2014). Realising M-payments: Modelling consumers’ willingness to M-pay using smart phones. Behaviour and Information Technology, 33(4), 318–334.
Dutta, S., & Omolayole, O. (2016). Are there differences between men and women in information technology innovation adoption behaviors: A theoretical study. The Journal of Business Diversity, 16(1), 106–114.
Effendy, F., Hurriyati, R., & Hendrayati, H. (2021). Perceived Usefulness, Perceived Ease of Use, and Social Influence: Intention to Use e-Wallet. Proceedings of the 5th Global Conference on Business, Management and Entrepreneurship (GCBME 2020), 187(Gcbme 2020), 311–315. https://doi.org/10.2991/aebmr.k.210831.060
Ghani, E. K., & Khalil, N. A. (2021). Adoption intention of e-wallet services among small medium enterprises in retail industry: An application of the diffusion of innovation theory factors influencing. Universidad y Sociedad, 13(5), 53–64.
Hair, J. F., Bush, R. P., & Ortinau, D. J. (2009). Marketing research: In a digital information environment (4th edn.). McGraw-Hill.
He, Q., Duan, Y., Fu, Z., & Li, D. (2006). An innovation adoption study of online e-payment in Chinese companies. Journal of Electronic Commerce in Organizations, 4(1), 48–69.
Hirschmann, R. (2022). Share of people who used digital wallets Malaysia Q1 2019-Q1 2022. Statista. https://www.statista.com/statistics/1327192/malaysia-e-wallet-usage-rate/
Hsu, C. L., Lu, H. P., & Hsu, H. H. (2007). Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). Omega, 35(6), 715–726.
Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014). Rogers’ Innovation Adoption Attributes: A Systematic Review and Synthesis of Existing Research. Information Systems Management, 31(1), 74–91.
Knudsen, H. K., & Roman, P. M. (2015). Innovation attributes and adoption decisions: Perspectives from leaders of a national sample of addiction treatment organizations. Journal of Substance Abuse Treatment, 49, 1–7.
Liao, H. L., & Lu, H. P. (2008). The role of experience and innovation characteristics in the adoption and continued use of e-learning websites. Computers and Education, 51(4), 1405–1416. https://doi.org/10.1016/j.compedu.2007.11.006
Mahdzan, N. S., Zainudin, R., & Au, S. F. (2017). The adoption of Islamic banking services in Malaysia. Journal of Islamic Marketing, 8(3), 496–512.
Menzli, L. J., Smirani, L. K., Boulahia, J. A., & Hadjouni, M. (2022). Investigation of open educational resources adoption in higher education using Rogers’ diffusion of innovation theory. Heliyon, 8(7), e09885. https://doi.org/10.1016/j.heliyon.2022.e09885
Moneycompass. (2018). Huge advantages of mobile wallet. https://moneycompass.com.my/2018/11/15/huge-advantages-of-mobile-wallet/
Noordin, K. A., & Subramaniam, P. (2019). The great e-wallet war. The Edge. https://www.pwc.com/my/en/assets/press/2019/20190513-the-edge-digital-payments-story-featuring-clarence.pdf
Ooi, K. B., Sim, J. J., Yew, K. T., & Lin, B. (2011). Exploring factors influencing consumers’ behavioral intention to adopt broadband in Malaysia. Computers in Human Behavior, 27(3), 1168–1178.
Pallant, J. (2005). SPSS survival manual (2nd edn.). Allen & Unwin.
Park, Y., & Chen, J. V. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management and Data Systems, 107(9), 1349–1365. https://doi.org/10.1108/02635570710834009
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Ramdan, A. F. (2020). E-Dompet: Aspirasi Kerajaan ke Arah Warga Tanpa Tunai. Melaka Kini. https://melakakini.my/e-dompet-aspirasi-kerajaan-kearah-warga-tanpa-tunai/
Robinson, L. (2009). Understanding diffusion of innovations: A summary of diffusion of innovations. Energy Policy, 4–6.
Rogers, E. M. (1983). Diffusion of innovations (3rd Editio). The Free Press.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216.
Tan, M., & Teo, T. S. H. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1(1), 1–44.
Tusyanah, T., Wahyudin, A., & Khafid, M. (2021). Analyzing Factors Affecting the Behavioral Intention to Use e-Wallet with the UTAUT Model with Experience as Moderating Variable. Et Al / Journal of Economic Education, 10(2), 113–123. http://journal.unnes.ac.id/sju/index.php/jeec
Wong, C. Y., & Mohamed, M. I. P. (2021). Understanding the Factors That Influence Consumer Continuous Intention to Use E-Wallet in Malaysia. Research in Management of Technology and Business, 2(1), 561–576.
http://publisher.uthm.edu.my/periodicals/index.php/rmtb
Yang, M., Al Mamun, A., Mohiuddin, M., Nawi, N. C., & Zainol, N. R. (2021). Cashless transactions: A study on intention and adoption of e-wallets. Sustainability (Switzerland), 13(2), 1–18. https://doi.org/10.3390/su13020831
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.

In-Text Citation: (Akib et al., 2022)
To Cite this Article: Akib, M. E. Bin, Hamid, S. N. A., & Hamid, R. A. (2022). Factors Influencing Malaysian Intention to Use E-Wallets. International Journal of Academic Research in Business and Social Sciences, 12(11), 1772 – 1782.