Determinants of e-wallets continued usage intention
DOI:
https://doi.org/10.29352/mill0220e.40060Keywords:
Keywords: e-wallets; performance expectancy; effort expectancy; facilitating conditions; continued user intentionAbstract
Introduction: E-wallets streamline transactions for consumers by consolidating credit cards, cash, and various payment platforms into one convenient device; thus, these contactless payment transactions have seen a notable surge in Portugal in recent years.
Objective: The purpose of this paper is to empirically examine the determinants that influence a consumer´s continued usage intention to use E-wallets in Portugal.
Methods: Data were analyzed by employing exploratory and confirmatory analysis, and a Structural Equation Model was extracted from 185 Portuguese respondents.
Results: Data revealed that performance expectancy, effort expectancy, facilitating conditions, and perceived trust are important determinants of behavioral intention and will positively impact continued intention to use E-Wallets. Perceived reputation and perceived security are also determinants of perceived trust.
Conclusion: Therefore, continuous improvement in these areas is imperative to enhance the e-wallet’s performance and competitiveness over alternative transactions.
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Aji, H. M., Sfenrianto, & Wibowo, N. A. (2020). The determinants of e-wallet adoption in Indonesia: An extended UTAUT2 model. Journal Komunikasi: Malaysian Journal of Communication, 36(3), 195–211. https://doi.org/10.1109/ICOIACT46704.2019.8938415
Arning, K., & Ziefle, M. (2009). Different perspectives on technology acceptance: The role of technology type and age. In HCI and Usability for e-Inclusion: 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2009, Linz, Austria, November 9-10, 2009, Proceedings 5 (pp. 20-41). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-10308-7_2
Barómetro E-commerce (2022). Marketest. Retrieved April 2, 2024. https://www.marktest.com/wap/a/n/id~2985.aspx.
Capgemini (2021). World Payments Report 2021. Capgemini Research Institute.
Christian, A., Santoso, H. B., & Kusumastuti, D. L. (2024). Factors Influencing the Adoption and Usage of E-Wallets. In 2024 3rd International Conference on Digital Transformation and Applications (ICDXA) (pp. 103-108). IEEE. https://ieeexplore.ieee.org/document/10470869
Cimperman, M., Brenčič, M. M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model. International journal of medical informatics, 90, 22-31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
Daragmeh, A., Lentner, C., & Halalmeh, Z. (2021). The effect of convenience, perceived ease of use, and perceived usefulness on intention to use e-wallet. In Proceedings of the 2021 7th International Conference on Finance and Economics (ICFE 2021) (pp. 235–241). Atlantis Press. https://doi.org/10.2991/aebmr.k.220602.051
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covid-19 pandemic: Integrating the health belief model (HBM) and technology continuous theory (TCT). Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 132. https://doi.org/10.3390/joitmc7020132
Daştan, İ., & Gürler, C. (2016). Factors affecting the adoption of mobile payment systems: An empirical analysis. Emerging Markets Journal (EMAJ), 6(1), 17-24. https://org.doi/10.5195/emaj.2016.95.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Donan, H., Negara, E. S. N. S., Sutabri, T., & Firdaus, F. (2023). Analysis of behavioral use of academic information systems with the implementation of UTAUT 2 integration at the Muhammadi-Palembang Institute of Health Science and Technology. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 12(3), 462–470. https://doi.org/10.32736/sisfokom.v12i3.1978
Donald, L. A., & Remy, M.-W. (2012). Building a research model for mobile wallet consumer adoption: The case of Mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94-110. https://doi.org/10.4067/S0718-18762012000100008
Dinheiro Vivo. (2020). Portugueses trocam pagamento em dinheiro por cartão. https://encurtador.com.br/axhE.
European Central Bank. (2022). Study on the payment attitudes of consumers in the euro area (SPACE). European Central Bank.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.2307/3151312
George, A., & Sunny, P. (2021). Developing a research model for mobile wallet adoption and usage. IIM Kozhikode Society & Management Review, 10(1), 82-98. https://doi.org/10.1177/227797522096535
Hair Jr, J. F., Anderson, R. E., & Tatham, R. L. (1986). Multivariate data analysis with readings. Macmillan Publishing.
Kasirye, F., & Masum, S. M. H. (2021). The effects of e-wallet among various types of users in Malaysia: A comparative study. Asian Journal of Research in Business and Management, 3(2), 26-41. https://encurtador.com.br/TCgx
Kaushik, A.K., Mohan, G., & Kumar, V. (2020). Examining the antecedents and consequences of customers’ trust toward mobile retail apps in India. Journal of Internet Commerce, 19(1), 1–31. https://doi.org/10.1080/15332861.2019.1686333
Kaushik, A. K., Mohan, G., & Kumar, V. (2020). Examining the antecedents and consequences of customers’ trust toward mobile retail apps in India. Journal of Internet Commerce, 19(1), 1-31. https://doi.org/10.1080/15332861.2019.1686333
Leong, L. Y., Lim, K. S., Ooi, K. B., Weng, X. L., & Yeoh, K. C. (2022). Mobile wallet continuance intention: A socio-technical perspective. Journal of Retailing and Consumer Services, 66, 102946. https://doi.org/10.58729/1941-6679.1570
Lim, F. W., Ahmad, F., & Talib, A. N. B. A. (2019). Behavioural intention towards using electronic wallet: A conceptual framework in the light of the unified theory of acceptance and use of technology (UTAUT). Imperial Journal of Interdisciplinary Research, 5(1), 79-86. https://encurtador.com.br/RTyq
Ly, H. T. N., Khuong, N. V., & Son, T. H. (2022). Determinants affecting mobile wallet continuous usage in COVID 19 pandemic: Evidence from Vietnam. Cogent Business & Management, 9(1), 2041792. https://doi.org/10.1080/23311975.2022.2041792
Miao, M., Jalees, T., Qabool, S., & Zaman, S. I. (2020). The effects of personality, culture and store stimuli on impulsive buying behavior: Evidence from emerging market of Pakistan. Asia Pacific Journal of Marketing and Logistics, 32(1), 188-204. DOI: https://doi.org/10.1108/APJML-09-2018-0377
Mohd Thas Thaker, H., Subramaniam, N. R., Qoyum, A., & Iqbal Hussain, H. (2023). Cashless society, e-wallets and continuous adoption. International Journal of Finance & Economics.28(3),3349–3369. https://doi.org/10.1002/ijfe.2596
Nguyen, L. T., Phan, T. T. C., Dang, D. V. T., & Tran, T. T. T. (2023). Mobile payment adoption in Vietnam: A two-staged SEM-ANN approach. In Current and Future Trends on Intelligent Technology Adoption: Volume 1 (pp. 209-228). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-48397-4_11
Nguyen, P. T., Phung, M. T., Pham, T. M. L., Vo, T. L. T., & Tran, L. B. T. (2024). Factors affecting Vietnamese consumers’ intention to continue using e-wallet: A case study of MoMo. The VMOST Journal of Social Sciences and Humanities, 66(1), 29-44. https://doi.org/10.31276/VMOSTJOSSH.66(1).29-44
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144
Peñarroja, V., Sánchez, J., Gamero, N., Orengo, V., & Zornoza, A. M. (2019). The influence of organisational facilitating conditions and technology acceptance factors on the effectiveness of virtual communities of practice. Behaviour & Information Technology, 38(8), 845-857. https://doi.org/10.1080/0144929X.2018.1564070
Phan, H., Tran, M., Hoang, V., & Dang, T. (2020). Determinants influencing customers' decision to use mobile payment services: The case of Vietnam. Management Science Letters, 10(11), 2635-2646. https://doi.org/10.5267/j.msl.2020.3.029.
Rao, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 61–73. https://doi.org/10.3390/jtaer2020014
Revathy, C., & Balaji, P. (2020). Determinants of behavioural intention on e-wallet usage: an empirical examination in amid of COVID-19 lockdown period. International Journal of Management, 11(6), 92-104. https://doi.org/10.34218/IJM.11.6.2020.008
Saraswati, D. A., Desvi, P. S., Putra, N. S., & Hendriana, E. (2021). Examination of the extended UTAUT model in mobile wallet continuous usage intention during the COVID-19 outbreak. Turkish Online Journal of Qualitative Inquiry, 12(6). https://doi.org/10.13140/RG.2.2.14102.06723
Sedigheh, M., X.M. Tan, S.W. Phoong, & S.Y. Phoong. (2020). Drivers and barriers of mobile payment adoption: Malaysian merchants’ perspective. Journal of Retailing and Consumer Services 59: 1–12. https://doi.org/10.1016/j.jretconser.2020.102364
Sfenrianto, S., Junadi, J., & Saragih, M. H. (2017). The analysis of consumer's intention model for using E-payment system in Indonesia. In 2017 international Conference on Sustainable Information Engineering and Technology (SIET) (pp. 78-82). IEEE. https://doi.org/10.1109/SIET.2017.8304113
Silalahi, P. R., Salwa Daulay, A., Siregar, T. S., Ridwan, A., Islam, E., Ekonomi, F., & Islam, B. (2022). Analisis keamanan transaksi e-commerce dalam mencegah penipuan online. Journal Manajemen, Bisnis Dan Akuntansi, 1(4), 224–235. https://doi.org/10.1016/j.jjimei.2024.100254
Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209-223. https://doi.org/10.1080/0965254X.2014. 914075
Tan, S. H., Chong, L. L., & Ong, H. B. (2024). Continuance usage intention of e-wallets: Insights from merchants. International Journal of Information Management Data Insights, 4(2), 100254. https://doi.org/10.1016/j.jjimei.2024.100254
Tamima, A., Qarni, W., & Dharma, B. (2024). The effect of security and benefits of using digital wallets (e-wallets) on payment interest in online transactions. JHSS (Journal of Humanities and Social Studies), 8(3), 665-672. https://journal.unpak.ac.id/index.php/jhss/article/view/10803
Tan, S. H., Chong, L. L., & Ong, H. B. (2024). Continuance usage intention of e-wallets: Insights from merchants. International Journal of Information Management Data Insights, 4(2), 100254.https://doi.org/10.1016/j.jjimei.2024.100254
Tran, V. D. (2020). The relationship among product risk, perceived satisfaction and purchase intentions for online shopping. The Journal of Asian Finance, Economics and Business, 7(6), 221-231. https://doi.org/10.13106/jafeb.2020.vol7.no6.221
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
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 Technological Acceptance Model. Journal of Advanced Management Science, 7(2), 33-38. https://www.joams.com/uploadfile/2019/0613/20190613033705452.pdf
Wu, C. S., Cheng, F. F., Yen, D. C., & Huang, Y. W. (2011). User acceptance of wireless technology in organizations: A comparison of alternative models. Computer Standards & Interfaces, 33(1), 50-58. https://doi.org/10.1016/j.csi.2010.03.002
Yang, M., Mamun, A. A., Mohiuddin, M., Nawi, N. C., & Zainol, N. R. (2021). Cashless transactions: A study on intention and adoption of e-wallets. Sustainability, 13(2), 831. https://doi.org/10.3390/su13020831
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