Skip to main content
SpringerLink
Log in

Determinants of USER’S Acceptance of Mobile Payment: A Study of Cambodia Context

  • Conference paper
  • First Online:
Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1 (FTC 2022 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 559))

Included in the following conference series:

  • 743 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Evolution of digital payment industry, https://financebuddha.com/blog/evolution-digital-payment-industry/. Accesed 04 Oct 2021

  2. Bezhovski, Z.: The future of the mobile payment as electronic payment system. Eur. J. Bus. Manage. 8(8), 127–132 (2016)

    Google Scholar 

  3. Tiwari, R., Buse, S.: The Mobile Commerce Prospects: A Strategic Analysis of Opportunities in the Banking Sector. Hamburg University Press, Hamburg (2007)

    Book  Google Scholar 

  4. National Bank of Cambodia: Project Bakong the next generation payment system. National Bank of Cambodia, Phnom Penh (2020)

    Google Scholar 

  5. Lerner, T.: Mobile payment. 1st ed. Springer Vieweg, Mainz (2013)

    Google Scholar 

  6. The Top Mobile Payment Systems in Cambodia, https://cryptoasia.co/news/top-mobile-payment-systems-cambodia/. Accessed 29 Sep 2021

  7. 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)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  11. 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)

    Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. 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

  14. 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)

    Article  Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. 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)

    Article  Google Scholar 

  17. 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)

    Article  Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. Zarmpou, T., Saprikis, V., Markos, A., Vlachopoulou, M.: Modeling users’ acceptance of mobile services. Electron. Commer Res. 12(2), 225–248 (2012)

    Article  Google Scholar 

  20. 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)

    Article  Google Scholar 

  21. 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)

    Article  Google Scholar 

  22. Midgley, D.F., Dowling, G.R.: Innovativeness: the concept and its measurement. J. Consumer Res. 4(4), 229–242 (1978)

    Article  Google Scholar 

  23. 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)

    Article  Google Scholar 

  24. 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

  25. National Institute of Statistics: General population census of the Kingdom of Cambodia 2019. Ministry of Planning, Phnom Penh (2020)

    Google Scholar 

  26. Bowerman, B.L., O’Connell, R.T., Murphree, E.: S: Business Statistics in Practice, 6th edn. McGraw-Hill/Irwin, New York (2011)

    Google Scholar 

  27. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis. 8th ed. Cengage Learning EMEA, Hampshire (2019)

    Google Scholar 

  28. Boslaugh, S., Watters, P.A.: Statistics in a Nutshell. 1st ed. O'Reilly Media (2008)

    Google Scholar 

  29. Bollen, K.A.: Indicator: methodology. Int. Encyclopedia Soc. Behav. Sci. 7282–7287 (2001)

    Google Scholar 

  30. 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)

    Article  Google Scholar 

  31. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservables variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Royal University of Phnom Penh, Russian Federation Blvd, Phnom Penh, Cambodia

    Sreypich Soun, Bunhov Chov & Phichhang Ou

Authors
  1. Sreypich Soun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bunhov Chov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Phichhang Ou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Phichhang Ou .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

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

Publish with us

Policies and ethics

Search

Navigation