Abstract
All transactions between buyers and sellers and businesses are done using payment systems. In the past, people made payments using traditional means such as cash and checks. However, due to advanced technology, e-commerce, the internet, and mobile devices, payment systems have transformed from cash-based to digital-based transactions. Mobile payment refers to modern payment practices via mobile devices such as cellphones, smartphones, or tablets. Mobile payment allows consumers to reduce the use of cash and offers efficient and fast performance as well as the secure transfer of information between consumers when conducting payments and transactions. Even though mobile payment provides these benefits, non-cash payment practices are still new among most consumers in Cambodia due to limited knowledge of digital-based payment. Some companies succeeded, while some failed due to limited insights into the success factors that predict users’ intention to use mobile payment. Therefore, the researchers decided to conduct this study by extending TAM with trust, innovativeness, and functionality, aiming to explore the user’s acceptance of mobile payment services. This study was conducted on 301 respondents who have experiences of using mobile payment applications. The collected data was analyzed using the Statistical Packages of SPSS 25 and AMOS 23. Based on the results, perceived usefulness and perceived ease of use have a positive effect on behavioral intention to use mobile payment services. Perceived usefulness is positively predicted by perceived ease of use, innovativeness, and functionality. Trust and innovativeness positively influence perceived ease of use.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Evolution of digital payment industry, https://financebuddha.com/blog/evolution-digital-payment-industry/. Accesed 04 Oct 2021
Bezhovski, Z.: The future of the mobile payment as electronic payment system. Eur. J. Bus. Manage. 8(8), 127–132 (2016)
Tiwari, R., Buse, S.: The Mobile Commerce Prospects: A Strategic Analysis of Opportunities in the Banking Sector. Hamburg University Press, Hamburg (2007)
National Bank of Cambodia: Project Bakong the next generation payment system. National Bank of Cambodia, Phnom Penh (2020)
Lerner, T.: Mobile payment. 1st ed. Springer Vieweg, Mainz (2013)
The Top Mobile Payment Systems in Cambodia, https://cryptoasia.co/news/top-mobile-payment-systems-cambodia/. Accessed 29 Sep 2021
Chav, T., Ou, P.: The factors influencing consumer intention to use internet banking and apps: a case of banks in Cambodia. Int. J. Soc. Bus. Sci. 15(1), 92–98 (2021)
Do, N.H., Tham, J., Khatibi, A.A., Azam, S.M.F.: An empirical analysis of Cambodian behavioral intention towards mobile payment. Manage. Sci. Lett. 9(12), 1941–1954 (2019)
Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic, motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Muñoz-Leiva, F., Climent-Climent, S., Liébana-Cabanillasa, F.: Determinants of intention to use the mobile banking apps: an extension of the classic TAM model. Spanish J. Marketing – ESIC 21(1), 25–38 (2017)
Oliveira, T., Thomas, M., Baptista, G., Campos, F.: Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology. Comput. Hum. Behav. 61, 404–414 (2016)
Ramos-de-Luna, I., Montoro-Ríos, F., Liébana-Cabanillas, F.: Determinants of the intention to use NFC technology as a payment system: an acceptance model approach. Inf. Syst. E-Bus. Manage. 14(2), 293–314 (2015)https://doi.org/10.1007/s10257-015-0284-5
Kim, C., Mirusmonov, M., Lee, I.: An empirical examination of factors influencing the intention to use mobile payment. Comput. Hum. Behav. 26(3), 310–322 (2010)
Schierz, P.G., Schilke, O., Wirtz, B.W.: Understanding consumer acceptance of mobile payment services: an empirical analysis. Electron. Commer. Res. Appl. 9(3), 209–216 (2010)
Hansen, J.M., Saridakis, G., Benson, V.: Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Comput. Hum. Behav. 80, 197–206 (2018)
Lu, J., Yao, J.E., Yu, C.-S.: Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. J. Strateg. Inf. Syst. 14(3), 245–268 (2005)
Saprikis, V., Markos, A., Zarmpou, T., Vlachopoulou, M.: Mobile shopping consumers’ behavior: an exploratory study and seview. J. Theor. Appl. Electron. Commer. Res. 13(1), 71–90 (2018)
Zarmpou, T., Saprikis, V., Markos, A., Vlachopoulou, M.: Modeling users’ acceptance of mobile services. Electron. Commer Res. 12(2), 225–248 (2012)
Dahlberg, T., Mallat, N., Ondrus, J., Zmijewska, A.: Past, present and future of mobile payments research: a literature review. Electron. Commer. Res. Appl. 7(2), 165–181 (2008)
Pavlou, P.A.: Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int. J. Electron. Commer. 7(3), 101–134 (2003)
Midgley, D.F., Dowling, G.R.: Innovativeness: the concept and its measurement. J. Consumer Res. 4(4), 229–242 (1978)
Agarwal, R., Prasad, J.: A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf. Syst. Res. 9(2), 204–215 (1998)
How Cambodia can capitalise on strides in financial inclusion, https://southeastasiaglobe.com/how-cambodia-can-capitalise-on-strides-in-financial-inclusion/. Accessed 02 Oct 2021
National Institute of Statistics: General population census of the Kingdom of Cambodia 2019. Ministry of Planning, Phnom Penh (2020)
Bowerman, B.L., O’Connell, R.T., Murphree, E.: S: Business Statistics in Practice, 6th edn. McGraw-Hill/Irwin, New York (2011)
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis. 8th ed. Cengage Learning EMEA, Hampshire (2019)
Boslaugh, S., Watters, P.A.: Statistics in a Nutshell. 1st ed. O'Reilly Media (2008)
Bollen, K.A.: Indicator: methodology. Int. Encyclopedia Soc. Behav. Sci. 7282–7287 (2001)
Anderson, J.C., Gerbing, D.W.: Structural equation modeling in practice: a review and recommended two-step approach. Psychol. Bull. 103(3), 411–423 (1988)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservables variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Soun, S., Chov, B., Ou, P. (2023). Determinants of USER’S Acceptance of Mobile Payment: A Study of Cambodia Context. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-031-18461-1_37
Download citation
DOI: https://doi.org/10.1007/978-3-031-18461-1_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-18460-4
Online ISBN: 978-3-031-18461-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)