How to cite this paper
Hashim, N., Chan, T & Li, P. (2023). Factors affecting the adoption of e-wallets to enter cashless society: An integration approach.International Journal of Data and Network Science, 7(4), 1849-1860.
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Abdul-Halim, N. A., Vafaei-Zadeh, A., Hanifah, H. et al. (2022). Understanding the determinants of e-wallet continuance usage intention in Malaysia. Quality & Quantity, 56, 3413–3439. https://doi.org/10.1007/s11135-021-01276-7
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Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), 379-391.
Akib, M. E., Hamid, S. N. A., & Hamid, R. A. (2022). Factors influencing Malaysian intention to use E-Wallets. Interna-tional Journal of Academic Research in Business and Social Sciences, 12(11), 1772 – 1782. http://dx.doi.org/10.6007/IJARBSS/v12-i11/15354
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AlRefai, Z. A., Muda, H., & Karim, F. (2022). E-wallet adoption, innovative behaviour and technology readiness in Jor-dan: The mediating effect of customer awareness. International Journal of Academic Research in Business and Social Sciences, 12(9), 896-917. http://dx.doi.org/10.6007/IJARBSS/v12-i9/14913
Apuke, O. D. (2017). Quantitative research methods: A synopsis approach. Kuwait Chapter of Arabian Journal of Business and Management Review, 33(5471), 1-8.
Aransyah, M. F., Roy, J., & Aprianti, Y. (2019). Innovation resistance and perceive novelty on e-wallet services. In the 2nd Mulawarman International Conference on Economics and Business, 115-122.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
Boonsiritomachai, W., & Pitchayadejanant, K. (2019). Determinants affecting mobile banking adoption by generation Y based on the unified theory of acceptance and use of technology model modified by the technology acceptance model concept. Kasetsart Journal of Social Sciences, 40(2), 349-358. https://doi.org/10.1016/j.kjss.2017.10.005
Campbell, D., & Singh, C. B. (2017). A study of customer innovativeness for the mobile wallet acceptance in Rajasthan. Pacific Business Review International, 10(6), 7-15.
Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10. https://doi.org/10.21512/tw.v13i2.656
Chang, H. Y., Friesner, D., Chu, T. L., Huang, T. L., Liao, Y. N., & Teng, C. I. (2018). The impact of burnout on self-efficacy, outcome expectations, career interest and nurse turnover. Journal of Advanced Nursing, 74(11), 2555-2565. doi: 10.1111/jan.13776.
Che Nawi, N., Mamun, A. A., Hayat, N., & Seduram, L. (2022). Promoting sustainable financial services through the adop-tion of eWallet among Malaysian working adults. SAGE Open, 12(1). https://doi.org/10.1177/21582440211071107
Coskun, M., Saygili, E., & Karahan, M. O. (2022). Exploring online payment system adoption factors in the age of COVID-19—Evidence from the Turkish banking industry. International Journal of Financial Studies, 10(2), 39. https://doi.org/10.3390/ijfs10020039
Daragmeh, A., Sagi, J., & Zeman, Z. (2021). Continuous intention to use e-wallet in the context of the COVID-19 pandem-ic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of Open Innova-tion: Technology, Market, and Complexity, 7(2), 132. https://doi.org/10.3390/joitmc7020132
Dongsen, S. (2022). E-wallet, convenient or complicated?. Journal of Digitainability, Realism & Mastery (DREAM), 1(1), 18-22.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Fron-tiers, 21, 719–734. https://doi.org/10.1007/s10796-017-9774-y
Esawe, A. T. (2022). Understanding mobile e-wallet consumers’ intentions and user behavior. Spanish Journal of Market-ing - ESIC, 26(3), 363-384. https://doi.org/10.1108/SJME-05-2022-0105
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.
Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. doi: 10.1108/EBR-11-2018-0203
Hanafizadeh, P., Behboudi, M., Abedini Koshksaray, A., & Jalilvand Shirkhani Tabar, M. (2014). Mobile-banking adop-tion by Iranian bank clients. Telematics and Informatics, 31 (1), 62-78. doi: https://doi.org/10.1016/j.tele.2012.11.001
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. doi: https://doi.org/10.1007/s11747-014-0403-8
Hettiarachchi, H. (2014). Factors affecting to customer adoption of internet banking. Kelaniya Journal of Management, 2(2), 68-87. doi: https://doi.org/10.4038/kjm.v2i2.6551
Hidayat-ur-Rehman, I., Alzahrani, S., Rehman, M. Z., & Akhter, F. (2022). Determining the factors of m-wallets adoption. A twofold SEM-ANN approach. PLoS ONE, 17(1), e0262954. https://doi. org/10.1371/journal.pone.0262954
Hong, H., & Le, T. T. (2020). The role of promotion in mobile wallet adoption – A research in Vietnam. Advances in Sci-ence, Technology and Engineering Systems Journal, 5(6), 290-298. DOI: 10.25046/aj050635
Hoque, M. R. (2016). An empirical study of mHealth adoption in a developing country: The moderating effect of gender concern. BMC Medical Informatics and Decision Making, 16 51. doi: https://doi.org/10.1186/s12911-016-0289-0
Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: An empirical investigation. International Journal of Bank Marketing, 37(1), 362-381. https://doi.org/10.1108/IJBM-01-2018-0013
Kaewratsameekul, W. (2018). An examination of behavioral intention to use contactless mobile payment: Rapid transit system in Thailand. Science, Engineering and Health Studies, 12(2), 85–101. https://doi.org/10.14456/sehs.2018.2
Karimi, S. (2016). Do learners’ characteristics matter? An exploration of mobile-learning adoption in self-directed learn-ing. Computers in Human Behavior, 63, 769-776. doi: https://doi.org/10.1016/j.chb.2016.06.014
Kumar, J. A., & Bervell, B. (2019). Google classroom for mobile learning in higher education: Modelling the initial per-ceptions of students. Education and Information Technologies, 24, 1793–1817. doi: https://doi.org/10.1007/s10639-018-09858-z
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Mazman Akar, S. G. (2019). Does it matter being innovative: Teachers’ technology acceptance. Education and Infor-mation Technologies, 24(3), 3415-3432. doi: https://doi.org/10.1007/s10639-019-09933-z
Mew, J., & Millan, E. (2021). Mobile wallets: key drivers and deterrents of consumers’ intention to adopt. The Interna-tional Review of Retail, Distribution and Consumer Research, 31(2), 182–210. https://doi.org/10.1080/09593969.2021.1879208©
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Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), 379-391.
Akib, M. E., Hamid, S. N. A., & Hamid, R. A. (2022). Factors influencing Malaysian intention to use E-Wallets. Interna-tional Journal of Academic Research in Business and Social Sciences, 12(11), 1772 – 1782. http://dx.doi.org/10.6007/IJARBSS/v12-i11/15354
Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., & Aljeraiwi, A. A. (2019). Integrating technology acceptance model with innovation diffusion theory: An empirical investigation on students’ in-tention to use e-learning systems. IEEE Access, 7, 26797 - 26809. doi: https://doi.org/10.1109/ACCESS.2019.2899368
AlRefai, Z. A., Muda, H., & Karim, F. (2022). E-wallet adoption, innovative behaviour and technology readiness in Jor-dan: The mediating effect of customer awareness. International Journal of Academic Research in Business and Social Sciences, 12(9), 896-917. http://dx.doi.org/10.6007/IJARBSS/v12-i9/14913
Apuke, O. D. (2017). Quantitative research methods: A synopsis approach. Kuwait Chapter of Arabian Journal of Business and Management Review, 33(5471), 1-8.
Aransyah, M. F., Roy, J., & Aprianti, Y. (2019). Innovation resistance and perceive novelty on e-wallet services. In the 2nd Mulawarman International Conference on Economics and Business, 115-122.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
Boonsiritomachai, W., & Pitchayadejanant, K. (2019). Determinants affecting mobile banking adoption by generation Y based on the unified theory of acceptance and use of technology model modified by the technology acceptance model concept. Kasetsart Journal of Social Sciences, 40(2), 349-358. https://doi.org/10.1016/j.kjss.2017.10.005
Campbell, D., & Singh, C. B. (2017). A study of customer innovativeness for the mobile wallet acceptance in Rajasthan. Pacific Business Review International, 10(6), 7-15.
Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10. https://doi.org/10.21512/tw.v13i2.656
Chang, H. Y., Friesner, D., Chu, T. L., Huang, T. L., Liao, Y. N., & Teng, C. I. (2018). The impact of burnout on self-efficacy, outcome expectations, career interest and nurse turnover. Journal of Advanced Nursing, 74(11), 2555-2565. doi: 10.1111/jan.13776.
Che Nawi, N., Mamun, A. A., Hayat, N., & Seduram, L. (2022). Promoting sustainable financial services through the adop-tion of eWallet among Malaysian working adults. SAGE Open, 12(1). https://doi.org/10.1177/21582440211071107
Coskun, M., Saygili, E., & Karahan, M. O. (2022). Exploring online payment system adoption factors in the age of COVID-19—Evidence from the Turkish banking industry. International Journal of Financial Studies, 10(2), 39. https://doi.org/10.3390/ijfs10020039
Daragmeh, A., Sagi, J., & Zeman, Z. (2021). Continuous intention to use e-wallet in the context of the COVID-19 pandem-ic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of Open Innova-tion: Technology, Market, and Complexity, 7(2), 132. https://doi.org/10.3390/joitmc7020132
Dongsen, S. (2022). E-wallet, convenient or complicated?. Journal of Digitainability, Realism & Mastery (DREAM), 1(1), 18-22.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Fron-tiers, 21, 719–734. https://doi.org/10.1007/s10796-017-9774-y
Esawe, A. T. (2022). Understanding mobile e-wallet consumers’ intentions and user behavior. Spanish Journal of Market-ing - ESIC, 26(3), 363-384. https://doi.org/10.1108/SJME-05-2022-0105
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.
Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. doi: 10.1108/EBR-11-2018-0203
Hanafizadeh, P., Behboudi, M., Abedini Koshksaray, A., & Jalilvand Shirkhani Tabar, M. (2014). Mobile-banking adop-tion by Iranian bank clients. Telematics and Informatics, 31 (1), 62-78. doi: https://doi.org/10.1016/j.tele.2012.11.001
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. doi: https://doi.org/10.1007/s11747-014-0403-8
Hettiarachchi, H. (2014). Factors affecting to customer adoption of internet banking. Kelaniya Journal of Management, 2(2), 68-87. doi: https://doi.org/10.4038/kjm.v2i2.6551
Hidayat-ur-Rehman, I., Alzahrani, S., Rehman, M. Z., & Akhter, F. (2022). Determining the factors of m-wallets adoption. A twofold SEM-ANN approach. PLoS ONE, 17(1), e0262954. https://doi. org/10.1371/journal.pone.0262954
Hong, H., & Le, T. T. (2020). The role of promotion in mobile wallet adoption – A research in Vietnam. Advances in Sci-ence, Technology and Engineering Systems Journal, 5(6), 290-298. DOI: 10.25046/aj050635
Hoque, M. R. (2016). An empirical study of mHealth adoption in a developing country: The moderating effect of gender concern. BMC Medical Informatics and Decision Making, 16 51. doi: https://doi.org/10.1186/s12911-016-0289-0
Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: An empirical investigation. International Journal of Bank Marketing, 37(1), 362-381. https://doi.org/10.1108/IJBM-01-2018-0013
Kaewratsameekul, W. (2018). An examination of behavioral intention to use contactless mobile payment: Rapid transit system in Thailand. Science, Engineering and Health Studies, 12(2), 85–101. https://doi.org/10.14456/sehs.2018.2
Karimi, S. (2016). Do learners’ characteristics matter? An exploration of mobile-learning adoption in self-directed learn-ing. Computers in Human Behavior, 63, 769-776. doi: https://doi.org/10.1016/j.chb.2016.06.014
Kumar, J. A., & Bervell, B. (2019). Google classroom for mobile learning in higher education: Modelling the initial per-ceptions of students. Education and Information Technologies, 24, 1793–1817. doi: https://doi.org/10.1007/s10639-018-09858-z
Kumar, V., Anand, A., & Song, H. (2017). Future of retailer profitability: An organizing framework. Journal of Retailing, 93(1), 96–119. doi:10.1016/j.jretai.2016.11.003.
Lonare, A., Yadav, A., & Sindhu, S. (2018). E-Wallets: Diffusion and adoption in Indian economy. Indian Journal of Commerce & Management Studies. 9(2), 09-16. https://doi.org/10.18843/ijcms/v9i2/02
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for co-variance structure modeling. Psychological Methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130
Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227-244. doi: https://doi.org/10.1108/JIBR-10-2015-0112
Mater, W., Matar, N., Alismaiel, O. A., Al Moteri, M. A., Al Youssef, I. Y., & Al-Rahmi, W. M. (2021). Factors influenc-ing the intention behind mobile wallet adoption: Perceptions of university students. Entrepreneurship and Sustainabil-ity Issues, 9(1), 447-461. http://doi.org/10.9770/jesi.2021.9.1(28)
Mazman Akar, S. G. (2019). Does it matter being innovative: Teachers’ technology acceptance. Education and Infor-mation Technologies, 24(3), 3415-3432. doi: https://doi.org/10.1007/s10639-019-09933-z
Mew, J., & Millan, E. (2021). Mobile wallets: key drivers and deterrents of consumers’ intention to adopt. The Interna-tional Review of Retail, Distribution and Consumer Research, 31(2), 182–210. https://doi.org/10.1080/09593969.2021.1879208©
Mehta, P. (2019). The number of mobile wallet users grows by 140 million per year. Retrieved January 3, 2020, from http://technologymagazine.org/mobile-wallet-usage-mapped/
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