Developments in digital finance help vulnerable communities access financial services, particularly in developing countries. Financial technology innovation offers advancements to the financial industry and consumers that make their transactions less complex and more convenient. E-wallet is a great platform that will have a favorable impact on the economy and the nation's social fabric to achieve the government's goal of becoming a cashless society, contactless payment, digital economy, and in line with Sustainable Development Goal (SDG 9). Covid-19 has expedited the usage of digital payments, and the move to contactless transactions has highlighted inequities. The level of consumer acceptance of e-wallet for the low-income group in Malaysia is still low. To realize the inspiration of a cashless nation and sustainable development, therefore, the study aims to identify the factors affecting electronic wallet acceptance among the Malaysian low-income group in Melaka. Three determinants are identified which are as follows: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Social Influences. Questionnaires were distributed to the 109 respondents (employees and students in Universiti Teknologi MARA, Melaka) using an online survey platform. The data obtained were analyzed using SPSS v26 which involves frequency analysis, descriptive analysis, reliability tests, Pearson correlation, and multiple regression analysis. Based on the findings, Social Influences (SI) are discovered to have a substantial impact on e- wallet acceptance. The study's findings will be of interest in insisting the government establish the cashless society and helps to improve the financial technology infrastructure that guides to the successful implementation of SDG9.
Abdullah, N., Redzuan, F., & Daud, N. A. (2020). E-wallet: Factors influencing user acceptance towards cashless society in Malaysia among public universities. Indonesian Journal of Electrical Engineering and Computer Science, 20(1), 67–74. https://doi.org/10.11591/ijeecs.v20.i1.pp67-74
Abu Daqar, M. A. M., Arqawi, S., & Karsh, S. A. (2020). Fintech in the eyes of Millennials and Generation Z (the financial behavior and Fintech perception). Banks and Bank Systems, 15(3), 20–28. https://doi.org/10.21511/bbs.15(3).2020.03
Aji, H. M., Berakon, I., & Husin, M. (2020). COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia. Cogent Business and Management, 7(1). https://doi.org/10.1080/23311975.2020.1804181
Ajzen, I., & Fishbein, M. (1975). Understanding attitudes and predicting social behavior. Englewood Cliffs, N.J.?: Prentice-Hall, ©1980.
Ajzen, I. (2012). The theory of planned behavior. In Handbook of Theories of Social Psychology: Volume 1 (pp. 438–459). https://doi.org/10.4135/9781446249215.n22
AlKubaisi, M. M., & Naser, N. (2020). A quantative approach to identifying factors that affect the use of E-wallets in Bahrain. Journal of Siberian Federal University - Humanities and Social Sciences, 13(11), 1819–1839. https://doi.org/10.17516/1997-1370-0687
Alshurideh, M. T., Al Kurdi, B., Masa’deh, R., & Salloum, S. A. (2021). The moderation effect of gender on accepting electronic payment technology: a study on United Arab Emirates consumers. Review of International Business and Strategy. https://doi.org/10.1108/RIBS-08-2020-0102
Alwi, S., Nadia, M., Salleh, M., Alpandi, R. M., Ya’acob, F., Mariam, S., & Abdullah, M. (2021). Fintech As Financial Inclusion: Factors Affecting Behavioral Intention To Accept Mobile E-Wallet During Covid-19 Outbreak. Turkish Journal of Computer and Mathematics Education, 12(7), 2130–2141. https://turcomat.org/index.php/turkbilmat/article/view/3356
Argo, J. J., & Dahl, D. W. (2020). Social Influence in the Retail Context: A Contemporary Review of the Literature. Journal of Retailing, 96(1), 25–39. https://doi.org/10.1016/j.jretai.2019.12.005
Balakrishnan, V., & Shuib, N. L. M. (2021). Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia. Technology in Society, 65(March), 101554. https://doi.org/10.1016/j.techsoc.2021.101554
Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human-Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
Chandra, S., & Kumar, K. N. (2018). Exploring factors influencing organizational adoption of augmented reality in e-commerce: Empirical analysis using technology-organization-environment model. Journal of Electronic Commerce Research, 19(3), 237–265.
Chaouali, W., Ben Yahia, I., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007
Collin-Lachaud, I., & Diallo, M. F. (2020). Smartphone use during shopping and store loyalty: the role of social influence. International Journal of Retail and Distribution Management, 49(5), 678–697. https://doi.org/10.1108/IJRDM-03-2020-0109
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571. https://doi.org/10.1016/j.jbusres.2008.06.016
Hair, J. F., Page, M., & Brunsveld, N. (2020). Essentials of Business Research Methods Fourth Edition. In Routledge Taylor & Francis Group. Routledge.
Hariguna, T., Adiandari, A. M., & Ruangkanjanases, A. (2020). Assessing customer intention use of mobile money application and the antecedent of perceived value, economic trust and service trust. International Journal of Web Information Systems, 16(3), 331–345. https://doi.org/10.1108/IJWIS-12-2019-0055
He, Y., Chen, Q., & Kitkuakul, S. (2018). Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy. Cogent Business and Management, 5(1). https://doi.org/10.1080/23311975.2018.1459006
Ishak, N. (2020). Overview of Cashless Payment in Malaysia. International Journal of Accounting, Finance and Business (IJAFB), 5(27), 11–18. http://www.ijafb.com/PDF/IJAFB-2020-27-06-02.pdf
Kamis, R., Ismail, S., & Rahman, N. H. (2022). Go Cashless?: A Proposed Conceptual Framework for e- Wallet Acceptance. International Journal of Academic Research in Business and Social Sciences, 12(11), 1797–1808. https://doi.org/10.6007/IJARBSS/v12-i11/15264
Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/02642069.2015.1043278
Lai, P. (2017). the Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21–38. https://doi.org/10.4301/s1807-17752017000100002
Latupeirissa, J. J. P., Gorda, A. A. N. O. S., & Subanda, I. N. (2020). Antecedents of intention to use e-wallet: The development of acceptance model with pls-sem approach. Journal of Advanced Research in Dynamical and Control Systems, 12(7 Special Issue), 1416–1429. https://doi.org/10.5373/JARDCS/V12SP7/20202244
Lee, J. N., Morduch, J., Ravindran, S., Shonchoy, A., & Zaman, H. (2021). Poverty and Migration in the Digital Age: Experimental Evidence on Mobile Banking in Bangladesh. American Economic Journal: Applied Economics, 13(1), 38–71. https://doi.org/10.1257/app.20190067
Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2020). Predicting mobile network operators users m-payment intention. European Business Review. https://doi.org/10.1108/EBR-10-2019-0263
Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile Payment with Alipay: An Application of Extended Technology Acceptance Model. IEEE Access, 7, 50380–50387. https://doi.org/10.1109/ACCESS.2019.2902905
Lisana, L. (2021). Factors influencing the adoption of mobile payment systems in Indonesia. International Journal of Web Information Systems. https://doi.org/10.1108/IJWIS-01-2021-0004
Martins, C., Oliveira, T., & Popovic, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Ardiansah, N. M., Chariri, A., Rahardja, S., & Udin. (2020). The effect of electronic payments security on e-commerce consumer perception: An extended model of technology acceptance. Management Science Letters, 10(7), 1473–1480. https://doi.org/10.5267/j.msl.2019.12.020
Odoom, R., & Kosiba, J. P. (2020). Mobile money usage and continuance intention among micro enterprises in an emerging market – the mediating role of agent credibility. Journal of Systems and Information Technology, 22(4), 97–117. https://doi.org/10.1108/JSIT-03-2019-0062
Sekaran, U., & Bougie, R. (2019). Reasearch Methods for Business?: A Skill-Building Approach Eighth Edition. John Wiley & Sons.
Shankar, A., & Datta, B. (2018). Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective. Global Business Review, 19(3_suppl), S72–S89. https://doi.org/10.1177/0972150918757870
Sharma, J. (2018). Importance of E-Wallets in Cashless Economy (A Post Demonetisation Study with Special Reference to Ahmedabad City). Global Business Research Journal, 1–13.
Singh, S., & Srivastava, R. K. (2020). Understanding the intention to use mobile banking by existing online banking customers: an empirical study. Journal of Financial Services Marketing, 25(3–4), 86–96. https://doi.org/10.1057/s41264-020-00074-w
Soegoto, D. S., & Tampubolon, M. P. (2020). E-Wallet as a Payment Instrument in the Millennial Era. IOP Conference Series: Materials Science and Engineering, 879(1). https://doi.org/10.1088/1757-899X/879/1/012139
Tran Le Na, N., & Hien, N. N. (2021). A study of user’s m-wallet usage behavior: The role of long-term orientation and perceived value. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2021.1899468
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Vincent, F. M., & Sengupta, A. (2019). Factors affecting the use of mobile payments among educated urban population: An indian perspective. International Journal of Innovative Technology and Exploring Engineering, 8(6), 531–537.
Wamba, S. F., Queiroz, M. M., Blome, C., & Sivarajah, U. (2021). Fostering Financial Inclusion in a Developing Country: Predicting User Acceptance of Mobile Wallets in Cameroon. Journal of Global Information Management, 29(4), 195–220. https://doi.org/10.4018/JGIM.20210701.oa9
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
