Published date: Dec 07 2023

Journal Title: KnE Social Sciences

Issue title: The International Conference on Environmental, Social and Governance (ICESG 2022)

Pages: 125–141

DOI: 10.18502/kss.v8i20.14598

Do Gia HuyLa Trobe University

Ai-Van Huynhvanha4@fe.edu.vnFPT University, Hoa Lac High-tech Park, Km29, Thang Long Boulevard, Thach That, Hanoi, Vietnam

This research endeavors to identify and assess the determinants influencing the intention to use Momo e-wallet in Ho Chi Minh City, establishing connections between these factors. The research methodology involved the design of a questionnaire based on the UTAUT model, tailored to evaluate the determinants affecting the intention to use e-wallets in Vietnam, with a specific focus on Momo. A total of 388 respondents, all Momo users, participated in the study. The results of the regression analysis revealed that all four determinants significantly impact the intention to use the Momo e-wallet, with varying levels of significance: Effort Expectancy (β=0.45), Promotional Benefits (β=0.379), Performance Expectancy (β=0.13), and Facilitating Conditions (β=0.072). Understanding these factors that influence usage intention and gaining insights into user preferences can facilitate the development of e-wallet systems that support e-wallet providers in penetrating the market and retaining their existing user base.

Keywords: intention to use, e-wallets, Momo, Vietnam

[1] Andrew JV, Tan KE. A model of factors influencing consumers’ intention to use ewallet system in Malaysia: A systematic review. Malaysian Journal of Business and Economics. MJBE; 2020. pp. 53–53.

[2] Alam MM, Awawdeh AE, Muhamad AI. Using e-wallet for business process development: Challenges and prospects in Malaysia. Business Process Management Journal. 2021;27(4):1142–1162.

[3] Amin MK, Azhar A, Amin A, Akter A. 2015. Applying the technology acceptance model in examining Bangladeshi consumers’ behavioral intention to use mobile wallet: PLS-SEM approach. Paper presented at the 2015 18th International Conference on Computer and Information Technology (ICCIT).

[4] Abushamleh H, Al-Hiyari N, Qusef A. 2021, May. The intention to use e-wallet during covid-19 pandemic in developing country. In 2021 12th International Conference on Information and Communication Systems (ICICS) (pp. 310-316). IEEE.

[5] Al-Herwi FH, Munerah S, Lau SL. 2021, November. Positive Factors Influencing the Behavioural Intention to Use Mobile Wallets Among University Students. In 2021 IEEE International Conference on Computing (ICOCO) (pp. 303-308). IEEE.

[6] Alvi M. A manual for selecting sampling techniques in research. 2016.

[7] Bhatiasevi V. An extended UTAUT model to explain the adoption of mobile banking. Information Development. 2016;32(4):799–814.

[8] Che Nawi N, Mamun AA, Hayat N, Seduram L. Promoting sustainable financial services through the adoption of ewallet among Malaysian working adults. SAGE Open. 2022;12(1):21582440211071107.

[9] Chuang LM, Liu CC, Kao HK. The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences. 2016;3(7):1–15.

[10] Cimigo. E-payments, e-wallets and the future of payments. 2019. Retrieved from: https://www.cimigo.com/wpcontent/ uploads/woocommerce_uploads/2019/02/Vietnam-e-payments-andmobile- e- wallets-Q1-2019

[11] Cuong DT. The optimal model for consumers’ e-wallets usage intention. In Proceedings of the Computational Methods in Systems and Software (pp. 76-85). Springer, Cham. 2021 Oct.

[12] Chandon P, Wansink B, Laurent G. A benefit congruency framework of sales promotion effectiveness. Journal of Market Research. 2000;64(4):65–81.

[13] Chawla D, Joshi H. Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing. 2019;37(7):1590–1618.

[14] Chawla D, Joshi H. The moderating role of gender and age in the adoption of mobile wallet. Foresight. 2020;22(4):483–504.

[15] Deka PK. Intention to use mobile wallet by youths in northeast India

[Online Only]. Journal of Management in Practice. 2020;5(1).

[16] Davis FD. 1985. A technology acceptance model for empirically testing new enduser information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).

[17] Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly. 1989;13(3):319– 340.

[18] Duy NB, Giang NT. 2022, January. Contactless Payments through E-wallets on Mobile Devices in the Context of Covid 19 at VietNam. In 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0385-0392). IEEE.

[19] Escobar-Rodríguez T, Carvajal-Trujillo E. Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tour Management. 2014;43:70–88.

[20] Ejiobih C, Oni AA, Ayo CK, Bishung J, Ajibade A, Koyejo O, et al. Empirical review of the challenges of the cashless policy implementation in Nigeria: a crosssectional research [). IOP Publishing.]. Journal of Physics: Conference Series. 2019 Aug;1299(1):012056.

[21] Fam KS, Brito PQ, Gadekar M, Richard JE, Jargal U, Liu W. Consumer attitude towards sales promotion techniques: a multi-country study. Asia Pacific Journal of Marketing and Logistics. 2019;31(2):437–463.

[22] Fabrigar LR, Wegener DT. Exploratory factor analysis. Oxford University Press; 2011. https://doi.org/10.1093/acprof:osobl/9780199734177.001.0001.

[23] Farrokhi F, Mahmoudi-Hamidabad A. Rethinking convenience sampling: defining quality criteria. Theory and Practice in Language Studies. 2012;2(4). https://doi.org/10.4304/tpls.2.4.784-792.

[24] Gomber P, Kauffman RJ, Parker C, Weber BW. On the fintech revolution: interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems. 2018;35(1):220–265.

[25] Gupta K, Arora N. Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies. 2019;9(1):88–114.

[26] Goodman R, Kish L. Controlled selection—A technique in probability sampling. Journal of the American Statistical Association. 1950;45(251):350–372.

[27] Hoang H, Le TT. The Role of Promotion in Mobile Wallet Adoption – A Research in Vietnam. Advances in Science. Technology and Engineering Systems Journal. 2020;5(6):290–298.

[28] Han JH. The effects of personality traits on subjective well-being and behavioral intention associated with serious leisure experiences. The Journal of Asian Finance. Economics and Business. 2020;7(5):167–176.

[29] Hoang T, Chu NM. Data analysis with SPSS. Hanoi: Hong Duc Publication House; 2008.

[30] Huterska A, Piotrowska AI, Szalacha-Jarmuzek J. Fear of the COVID-19 pandemic and social distancing as factors determining the change in consumer payment behavior at retail and service outlets. Energies. 2021;14(14):4191.

[31] Intarot P, Beokhaimook C. Influencing factor in e-wallet acceptant and use. International Journal of Business and Administrative Studies. 2018;4(4):167–175.

[32] Jeong N, Yoo Y, Heo TY. Moderating effect of personal innovativeness on mobile- RFID services: based on Warshaw’s purchase intention model. Technological Forecasting and Social Change. 2009;76(1):154–164.

[33] Kosim KP, Legowo N. Factors affecting consumer intention on QR payment of mobile banking: A case study in Indonesia. The Journal of Asian Finance. Economics and Business. 2021;8(5):391–401.

[34] Kalina K, Marina M. 2017. Applying TAM to study online shopping adoption among youth in the Republic of Macedonia. Paper presented at the Venice: Management International Conference.

[35] Kim YJ, Han J. Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior. 2014;33:256– 269.

[36] Khalilzadeh J, Ozturk AB, Bilgihan A. Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior. 2017;70:460–474.

[37] Khatimah H, Halim F. Consumers’ intention to use e-money in Indonesia based on Unified Theory of Acceptance and Use of Technology (UTAUT). American-Eurasian Journal of Sustainable Agriculture. 2014;8(12):34–40.

[38] Koenig-Lewis N, Marquet M, Palmer A, Zhao AL. Enjoyment and social influence: Predicting mobile payment adoption. Service Industries Journal. 2015;35(10):537– 554.

[39] Kwateng KO, Atiemo KA, Appiah C. Acceptance and use of mobile banking: An application of UTAUT2. Journal of Enterprise Information Management. 2019;32(1):118–151.

[40] Kadilar C, Cingi H. A new ratio estimator in stratified random sampling. Communications in Statistics - Theory and Methods. 2005;34(3):597–602.

[41] Li C, Shen J. Examining the Factors Affecting the Choice of Mobile Payments: An Empirical Study Based on Survey Data in Shanghai. Journal of economics business administration, 220(6), 73-90. Moorthy, K., Chiang, O.Y., Kamarudin, A.A., T’ing, L.C., Mei, C.Y. and Johanthan, S., 2021. Factors That Influence the Adoption of E-Wallets by the Malaysians [IJEA]. International Journal of E-Adoption. 2019;13(2):78–95.

[42] Moons I, De Pelsmacker P. Emotions as determinants of electric car usage intention. J Mark Manage. 2012;28(3-4):195–237.

[43] Manjunath TN, Hegadi RS, Archana RA. A study on sampling techniques for data testing. International Journal of Computer Science and Communication. 2012;3(1):13– 16.

[44] Madan K, Yadav R. Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research. 2016;8(3):227–244.

[45] Nguyen TH. 2021. Factors Affecting Intention To Use Mobile Wallet In VietNam (Doctoral dissertation). Nisa, U.K., Solekah, N.A. and Solekah, N.A., 2022. The Influence of TAM, Social influence, Security Relationship toward Intention to Use E Wallet through Attitude and Trust. IQTISHODUNA, 18(1), pp.35- 50.

[46] Nguyen KH. Overview on Ngu che tieu binh Bac ky nghich phi and Ngu che tieu binh Nam ky tac khau poetry by King Minh Menh. Science and Technology Development Journal. 2014;17(3):69–87.

[47] Ojo AO, Arasanmi CN, Raman M, Tan CN. Ability, motivation, opportunity and sociodemographic determinants of Internet usage in Malaysia. Information Development. 2019;35(5):819–830.

[48] OpenGov Asia. 2022. Vietnamese mobile transactions forecast to increase by 400% by 2025. [online] Available at: [Accessed 9 April 2022].

[49] PWC. 2022. [online] Available at: [Accessed 9 April 2022].

[50] Phan TN, Ho TV, Le-Hoang PV. Factors affecting the behavioral intention and behavior of using e-wallets of youth in Vietnam. The Journal of Asian Finance. Economics and Business. 2020;7(10):295–302.

[51] Puasa S, Tan J, Gazali HM, Ayub N. Consumers’ behavioural ntention to use e-wallet during the pandemic of covid-19: applying the Unified Theory of Acceptance and Use of Technology (UTAUT). Labuan Bulletin of International Business and Finance. LBIBF; 2021. pp. 64–78.

[52] Peñarroja V, Sánchez J, Gamero N, Orengo V, Zornoza AM. The influence of organisational facilitating conditions and technology acceptance factors on the effectiveness of virtual communities of practice. Behaviour & Information Technology. 2019;38(8):845–57.

[53] Purohit S, Arora R, Paul J. The bright side of online consumer behavior: Continuance intention for mobile payments. Journal of Consumer Behaviour. 2022;21(3):523–542.

[54] Perri C, Giglio C, Corvello V. Smart users for smart technologies: investigating the intention to adopt smart energy consumption behaviors. Technol Forecast Soc Change. 2020;155:119991.

[55] Peng S, Yang A, Cao L, Yu S, Xie D. Social influence modeling using information theory in mobile social networks. Information Sciences. 2017;379:146–159.

[56] Rigopoulos G, Askounis D. A TAM Framework to Evaluate Usersà Perception towards Online Electronic Payments. Journal of Internet Banking and Commerce. 1970;12(3):1–6.

[57] Riza AF. Customer acceptance of digital banking in Islamic bank: Study on millennial generation. Paper presented at the Proceeding of Conference on Islamic Management, Accounting, and Economics. Singh, S., 2003. Simple random sampling. In advanced sampling theory with applications (pp. 71-136). Springer, Dordrecht. 2019.

[58] Statista. Vietnam: reasons for using MoMo e-wallets 2021 | Statista. 2021. [online] Available at: [Accessed 3 July 2022]

[59] Schierz PG, Schilke O, Wirtz BW. Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications. 2010;9(3):209–216.

[60] Slade EL, Dwivedi YK, Piercy NC, Williams MD. Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: Extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing. 2015;32(8):860–873.

[61] Sunny P, George A. Determinants of behavioral intention to use mobile wallets-a conceptual model. Journal of Management. 2018;5(5):52–62.

[62] Sarika P, Vasantha S. Impact of mobile wallets on cashless transaction. International Journal of Recent Technology and Engineering. 2019;7(6):1164–1171.

[63] Syifa N, Tohang V. 2020, August. The use of e-wallet system. In 2020 International Conference on Information Management and Technology (ICIMTech) (pp. 342-347). IEEE.

[64] Tedja RT, Tjong Y, Deniswara K. 2021. Factors Affecting The Behavioral Intention of E-Wallet Use during Covid-19 Pandemic in DKI Jakarta. International Conference on Information Management and Technology (ICIMTech) 2021 Aug 19 (Vol. 1, pp. 574-579). IEEE.

[65] Ta K. 2021. MoMo Wallet Vietnam: The Super App Reaches 20 Million Users. [online] AgileTech Vietnam. Available at: [Accessed 10 April 2022].

[66] Teng S, Khong KW. Examining actual consumer usage of E-wallet: A case study of big data analytics. Comput Human Behav. 2021;121:106778.

[67] Tamilmani K, Rana NP, Wamba SF, Dwivedi R. The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation. Int J Inf Manage. 2021;57:102269.

[68] Tusyanah T, Wahyudin A, Khafid M. Analyzing factors affecting the behavioral intention to use e-wallet with the UTAUT model with experience as moderating variable. J Econ Educ. 2021;10(1):113–23.

[69] Tedja RT, Tjong Y, Deniswara K. 2021, August. Factors Affecting The Behavioral Intention of E- Wallet Use during Covid-19 Pandemic in DKI Jakarta. In 2021 International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 574-579). IEEE.

[70] Uddin MS, Akhi AY. E-wallet system for Bangladesh an electronic payment system. International Journal of Modeling and Optimization. 2014;4(3):216–9.

[71] Venkatesh V, Davis FD. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Manage Sci. 2000;46(2):186–204.

[72] Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. Manage Inf Syst Q. 2003;27(3):425–78.

[73] Venkatesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions. Decis Sci. 2008;39(2):273–315.

[74] Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. Manage Inf Syst Q. 2012;36(1):157–78.
[75] Vietnamnews.vn. 2022. MoMo closes its series E funding, becomes a unicorn. [online] Available at: [Accessed 10 April 2022].

[76] Williams MD, Rana NP, Dwivedi YK. The unified theory of acceptance and use of technology (UTAUT): a literature review. J Enterp Inf Manag. 2015;28(3):443–88.

[77] Yadav KM. Behavioural intentions to adopt mobile wallets: a developing country’s prespective. J Indian Bus Res. 2016;8(3):227–44.

[78] Yang M, Mamun AA, Mohiuddin M, Nawi NC, Zainol NR. Cashless transactions: A study on intention and adoption of e-wallets. Sustainability (Basel). 2021;13(2):831.