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Abdinoor, A. & Mbamba, U. O. L. (2017). Factors influencing consumers’ adoption of mobile financial services in Tanzania. Cogent Bus. Manage., 4(1), 1392273. [Google Scholar] [Crossref]
Ajzen, I. (1980). Understanding attitudes and predictiing social behavior. Englewood Cliffs, 10008400723. [Google Scholar]
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. J. Enterp. Inf. Manage., 29(1), 118–139. [Google Scholar] [Crossref]
Alpert, H. K. (2008). The self-service ‘buy-and-pay’ market: Kiosk, vending and foodservice trends in the US. Accessed on June, 6, 2023. [Google Scholar]
Beauchamp, M. B. & Ponder, N. (2010). Perceptions of retail convenience for in-store and online shoppers. Marketing Manage. J., 20(1), 49–65. [Google Scholar]
Bộ thông tin và truyền thông. (2024). Việt Nam lọt top đầu thế giới thanh toán qua POS di động. https://mic.gov.vn/mic_2020/Pages/TinTuc/tinchitiet.aspx?tintucid=156205 [Google Scholar]
Castronovo, C. & Huang, L. V. (2012). Social media in an alternative marketing communication model. J. Marketing Dev. Competitiveness, 6, 117–134. [Google Scholar]
Chhonker, M. S., Verma, D., & Kar, A. K. (2017). Review of technology adoption frameworks in mobile commerce. Procedia Comput. Sci., 122, 888–895. [Google Scholar] [Crossref]
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Mod. Methods Bus. Res., 295(2), 295–336. [Google Scholar]
Comrey, A. L. & Lee, H. (1992). A first course in factor analysis. Sci. Res. [Google Scholar]
Cooper, B., Eva, N., Zarea Fazlelahi, F., Newman, A., Lee, A., & Obschonka, M. (2020). Addressing common method variance and endogeneity in vocational behavior research: A review of the literature and suggestions for future research. J. Vocational Behav., 121, 103472. [Google Scholar] [Crossref]
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q., 13(3), 319–340. [Google Scholar] [Crossref]
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci., 35(8), 982–1003. [Google Scholar] [Crossref]
Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Marketing Res., 18(1), 39–50. [Google Scholar] [Crossref]
Francisco, L. C., Francisco, M. L., & Juan, S. F. (2015). Payment systems in new electronic environments: Consumer behavior in payment systems via SMS. Int. J. Inf. Technol. Decis. Making, 14(2), 421–449. [Google Scholar] [Crossref]
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and tam in online shopping: An integrated model. MIS Q., 27(1), 51–90. [Google Scholar] [Crossref]
Ha, D., Şensoy, A., & Phung, A. (2023). Empowering mobile money users: The role of financial literacy and trust in Vietnam. Borsa Istanbul Rev., 23(6), 1367–1379. [Google Scholar] [Crossref]
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Plan., 46(1–2), 1–12. [Google Scholar]
Hong, C. & Slevitch, L. (2018). Determinants of customer satisfaction and willingness to use self-service kiosks in the hotel industry. J. Tourism Hospitality, 7(5), 1–7. [Google Scholar] [Crossref]
Hsiao, C. H. & Tang, K. Y. (2015). Investigating factors affecting the acceptance of self-service technology in libraries: The moderating effect of gender. Lib. Hi Tech, 33(1), 114–133. [Google Scholar] [Crossref]
Kazancoglu, I. & Yarimoglu, E. K. (2018). How food retailing changed in Turkey: Spread of self-service technologies. Br. Food J., 120(2), 290–308. [Google Scholar] [Crossref]
Kelly, A. E. & Palaniappan, S. (2023). Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana. J. Innov. Entrepreneurship, 12(1), 34. [Google Scholar] [Crossref]
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Comput. Hum. Behav., 26(3), 310–322. [Google Scholar] [Crossref]
Lee, H. J., Cho, H. J., Xu, W., & Fairhurst, A. (2010). The influence of consumer traits and demographics on intention to use retail self‐service checkouts. Marketing Intell. Plann., 28(1), 46–58. [Google Scholar] [Crossref]
Lee, J. H. & Song, C. H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Soc Behav Pers, 41(4), 587–597. [Google Scholar] [Crossref]
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Q., 27(4), 657–678. [Google Scholar] [Crossref]
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. [Google Scholar] [Crossref]
McKinsey & Company. (2020). Share of retail occupations expected to be replaced by technology in the United Kingdom (UK) by 2030. Statista. https://www.statista.com/statistics/1193981/retail-occupations-jobs-expected-to-be-replaced-by-technology-uk/ [Google Scholar]
Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. J. Marketing, 64(3), 50–64. [Google Scholar] [Crossref]
Nguyên, L. (2019). Từ hàng dài người xếp hàng chờ tại quầy thanh toán đến cuộc đua giải pháp ở lối ra các siêu thị. Cafebiz. https://cafebiz.vn/tu-hang-dai-nguoi-xep-hang-cho-tai-quay-thanh-toan-den-cuoc-dua-giai-phap-o-loi-ra-cac-sieu-thi-20190315154703929.chn [Google Scholar]
Nicolaou, A. I. & McKnight, D. H. (2006). Perceived information quality in data exchanges: Effects on risk, trust, and intention to use. Inf. Syst. Res., 17(4), 332–351. [Google Scholar] [Crossref]
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Comput. Hum. Behav., 61, 404–414. [Google Scholar] [Crossref]
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. Int. J. Electron. Commerce, 7(3), 101–134. [Google Scholar] [Crossref]
Peng, M. Y. P. & Yan, X. (2022). Exploring the influence of determinants on behavior intention to use of multiple media kiosks through technology readiness and acceptance model. Front. Psychology, 13, 852394. [Google Scholar] [Crossref]
Penney, E. K., Agyei, J., Abrokwah, E., & Ofori-Boafo, R. (2021). Understanding factors that influence consumer intention to use mobile money services: An application of UTAUT2 with perceived risk and trust. Sage Open, 11(3), 215824402110231. [Google Scholar] [Crossref]
Richter, F. (2023). Services no longer required: The fastest-shrinking jobs. Statista. https://www.statista.com/chart/30161/decline-in-employment-levels-in-selected-occupations-by-2031/ [Google Scholar]
Shankar, A. & Datta, B. (2018). Factors affecting mobile payment adoption intention: An Indian perspective. Global Bus. Rev., 19(3_suppl), S72–S89. [Google Scholar] [Crossref]
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. Eur. J. Marketing, 53(11), 2322–2347. [Google Scholar] [Crossref]
Singh, N. & Sinha, N. (2020). How perceived trust mediates merchant’s intention to use a mobile wallet technology. J. Retailing Consum. Serv., 52, 101894. [Google Scholar] [Crossref]
Sleiman, K. A. A., Jin, W., Juanli, L., Lei, H. Z., Cheng, J., Ouyang, Y., & Rong, W. (2022). The factors of continuance intention to use mobile payments in Sudan. Sage Open, 12(3), 215824402211143. [Google Scholar] [Crossref]
Statista. (2022). Estimated value of the global self-checkout systems market size in 2021, with a forecast from 2022 to 2030 (in billion U.S. dollars). [Google Scholar]
To, A. T. & Trinh, T. H. M. (2021). Understanding behavioral intention to use mobile wallets in Vietnam: Extending the tam model with trust and enjoyment. Cogent Bus. Manage., 8(1), 1891661. [Google Scholar] [Crossref]
Venkatesh, V., Ramesh, V., & Massey, A. P. (2003). Understanding usability in mobile commerce. Commun. ACM, 46(12), 53–56. [Google Scholar] [Crossref]
Vũ, Q. (2021). Quầy thanh toán tự động của một siêu thị Nhật gây ấn tượng mạnh cho khách hàng. Kenhl4. https://kenh14.vn/quay-thanh-toan-tu-dong-cua-mot-sieu-thi-nhat-gay-an-tuong-manh-cho-khach-hang-20210120125338676.chn [Google Scholar]
Wang, C., Harris, J., & Patterson, P. G. (2012). Customer choice of self‐service technology: The roles of situational influences and past experience. J. Serv. Manage., 23(1), 54–78. [Google Scholar] [Crossref]
Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT‐based innovations: Comparative analyses of models and measures. Decis. Sci., 37(3), 393–426. [Google Scholar] [Crossref]
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