FACTORS ASSOCIATING DIGITAL WALLET ADOPTION AMONG THAI SHOPPERS: AN INTEGRATION OF UTAUT AND PERCEIVED RISK THEORY
DOI:
https://doi.org/10.60101/rmuttgber.2026.297125Keywords:
Digital wallet, Digital payment, SEM, UTAUT model, Perceived risk theoryAbstract
This study examines the factors influencing Thai shoppers' behavioural intention to adopt digital wallet services, drawing on the UTAUT model and perceived risk theory. A quantitative survey method was employed in this study, conducted in Bangkok, Thailand and involved 347 respondents. Structural equation modelling (SEM) was utilized to analyze and test hypotheses. The empirical research revealed that performance expectancy, effort expectancy, and social influence significantly positively impacted Thai shoppers' behavioural intention to use a digital wallet. Additionally, perceived risk significantly negatively impacted Thai shoppers' behavioural intention to use a digital wallet.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the academy of marketing science, 40(1), 8-34.
Bank of Thailand. (2020). Volume of Payment Transactions processed through Payment Systems and Channels. Retrieved from https://www.bot.or.th/App/BTWS_STAT/statistics/BOTWEBSTAT.aspx?reportID=681&language=ENG
Chaveesuk, S., Khalid, B., & Chaiyasoonthorn, W. (2021). Digital payment system innovations: A marketing perspective on intention and actual use in the retail sector. Innovative Marketing, 17(3), 109.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Davis, F. D. (1989). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model. MIS Quarterly, 13, 319-340.
Dholakia, U. M. (2001). A motivational process model of product involvement and consumer risk perception. European Journal of marketing, 35(11/12), 1340-1362.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474.
Fishbein, M. (1979). A theory of reasoned action: some applications and implications.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol.7). In: Upper Saddle River, NJ: Pearson.
Hampshire, C. (2017). A mixed methods empirical exploration of UK consumer perceptions of trust, risk and usefulness of mobile payments. International Journal of Bank Marketing.
Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. Int J Med Inform, 101, 75-84. https://www.doi:10.1016/j.ijmedinf.2017.02.002
Islam, T., Abid, C. M. S., & Ahmer, Z. (2020). How perceptions about ease of use and risk explain intention to use mobile payment service in Pakistan? The mediating role of perceived trust. Pakistan Journal of Commerce and Social Sciences (PJCSS), 14(1), 34-48.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes.
Kaur, P., Dhir, A., Bodhi, R., Singh, T., & Almotairi, M. (2020). Why do people use and recommend m-wallets?. Journal of Retailing and Consumer Services, 56, 102091.
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model. Int J Med Inform, 78(6), 404-416. https://www.doi:10.1016/j.ijmedinf.2008.12.005
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.
KPMG. (2019). Fintech in India – Powering mobile payments. Retrieved from https://assets.kpmg.com/content/dam/kpmg/in/pdf/2019/08/Fintech-in-India%E2%80%93Powering-mobile-payments.pdf
Laroche, M., Ueltschy, L. C., Abe, S., Cleveland, M., & Yannopoulos, P. P. (2004). Service quality perceptions and customer satisfaction: evaluating the role of culture. Journal of international marketing, 12(3), 58-85.
LE, H. B. H., NGO, C. T., TRINH, T. T. H., & NGUYEN, T. T. P. (2020). Factor Affecting Customers' Decision to Use Mobile Banking Service: A Case of Thanh Hoa Province, Vietnam. The Journal of Asian Finance, Economics and Business, 7(2), 205-212.
Lin, W. R., Lin, C.-Y., & Ding, Y.-H. (2020). Factors affecting the behavioral intention to adopt mobile payment: An empirical study in Taiwan. Mathematics, 8(10), 1851.
Littler, D., & Melanthiou, D. (2006). Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: the case of internet banking. Journal of Retailing and Consumer Services, 13(6), 431-443.
Merhi, M., Hone, K., Tarhini, A., & Ameen, N. (2021). An empirical examination of the moderating role of age and gender in consumer mobile banking use: a cross-national, quantitative study. Journal of Enterprise Information Management, 34(4), 1144-1168.
Murray, K. B., & Schlacter, J. L. (1990). The impact of services versus goods on consumers’ assessment of perceived risk and variability. Journal of the academy of marketing science, 18, 51-65.
Namahoot, K. S., & Jantasri, V. (2022). Integration of UTAUT model in Thailand cashless payment system adoption: the mediating role of perceived risk and trust. Journal of Science and Technology Policy Management.
Niehaves, B., & Plattfaut, R. (2010). What is the issue with internet acceptance among elderly citizens? Theory development and policy recommendations for inclusive e-government. Paper presented at the International Conference on Electronic Government.
Nitzl, C. (2016). The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development. Journal of Accounting Literature.
Nuryasman, M., & Warningsih, S. (2021). Determining factors of digital wallet usage. Jurnal Manajemen, 25(2), 271-289.
PHAN, T. N., HO, T. V., & LE-HOANG, P. V. (2020). Factors Affecting the Behavioral Intention and Behavior of Using E–Wallets of Youth in Vietnam. The Journal of Asian Finance, Economics and Business (JAFEB), 7(10), 295-302.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Ponsree, K., Phongpaew, T., & Naruetharadhol, P. (2023). Study of Thai Youths in the Northeastern Region of Thailand on the Effectiveness of Digital Payment Behavior. Journal of Promotion Management, 29(4), 569-605.
Pradelski, B. S. (2023). Social influence: The Usage History heuristic. Mathematical Social Sciences, 123, 105-113.
Rahadi, R., Putri, N., Soekarno, S., Damayanti, S., Murtaqi, I., & Saputra, J. (2021). Analyzing cashless behavior among generation Z in Indonesia. International Journal of Data and Network Science, 5(4), 601-612.
Rahman, M., Ismail, I., & Bahri, S. (2020). Analysing consumer adoption of cashless payment in Malaysia. Digital Business, 1(1), 100004.
Rahman, M., Ismail, I., Bahri, S., & Rahman, M. K. (2022). An Empirical Analysis of Cashless Payment Systems for Business Transactions. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 213.
Savas, S. (2017). Perceived Risk and Consumer Adoption of Service Innovations: Florida Atlantic University.
Sharma, G., & Kulshreshtha, K. (2019). Mobile Wallet Adoption in India: An Analysis. IUP Journal of Bank Management, 18(1).
Stone, R. N., & Grønhaug, K.. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
Teo, S. C., Law, P. L., & Koo, A. C. (2020). Factors affecting adoption of e-wallets among youths in Malaysia. Journal of Information System and Technology Management, 5(19), 39-50.
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.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157-178.
Walker, L. S. (2007). Social influence. The Blackwell encyclopedia of sociology.
Wasiul, M., Arije, M., & Huda, M. N. (2020). Determining intention to use smartphone banking application among millennial cohort in Malaysia. Int. J. Manag, 9(1), 43-53.
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management, 28(3), 443-488. https://www.doi:10.1108/jeim-09-2014-0088
Yuan, K.-H., & Hayashi, K. (2010). Fitting data to model: Structural equation modeling diagnosis using two scatter plots. Psychological methods, 15(4), 335.
Zhang, Y.-Q., Tian, G.-L., & Tang, N.-S. (2016). Latent variable selection in structural equation models. Journal of Multivariate Analysis, 152, 190-205.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Chaichana Wongjunya, Norrasate Sritanee, Adisorn Chaysang

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The articles published in this journal are the intellectual property of their respective authors.
The views and opinions expressed in each article are solely those of the individual authors and do not reflect the positions of Rajamangala University of Technology Thanyaburi or any of its faculty members. All components and content of each article are the sole responsibility of the respective authors. In the event of any errors, the authors shall bear full responsibility for their own work.

