Determinan Perilaku Penggunaan Mobile Payment: Pendekatan Technology Acceptance Model dan Theory Reasoned Action


  • Emi Boki * Mail Universitas Pattimura, Ambon, Indonesia
  • Pranatalindo Simanjuntak Universitas Pattimura, Ambon, Indonesia
  • (*) Corresponding Author
Keywords: Perceived Ease of Use; Perceived Usefulness; Perceived Risk; Subjective Norm; Mobile Payment; Behavioral Intention

Abstract

The Covid 19 pandemic has caused various changes, one of which is the payment process which has had a significant impact. The payment system has changed from using cash or through direct transactions to an online system without direct face-to-face contact using mobile devices or better known as mobile payment. This study uses the Technology Acceptance Model and Theory Reasoned Action approaches to test the relationship between perceived ease of use, perceived usefulness, perceived risk, and subjective norms on mobile payment usage behavior with behavioral intention as a mediating variable. This study was conducted at Hasanuddin University with 273 respondents from the postgraduate students of the Faculty of Economics and Business who were still active and using mobile payments. Data were analyzed using Analysis of Moment Structure (AMOS). The results showed that perceived ease of use, and behavioral intention had a significant effect on mobile payment usage behavior, and perceived usefulness, perceived risk, and subjective norms did not have a significant effect on mobile payment usage behavior. Other findings showed that behavioral intention mediated the influence of perceived ease of use, perceived usefulness, perceived risk and subjective norms on mobile payment usage behavior. This shows that the behavior of using mobile payments is quite easy for some students so that they feel confident that using mobile payments is easier and more effective than the direct payment process, while their intentions and behavior in using mobile payments are maximized.

Downloads

Download data is not yet available.

References

Ajzen, I. & F. M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall.

Boki, E., Pontoh, G. T., & Rashid, S. (2023). Analysis of Factors Influencing Mobile Payment Usage Behavior with Behavioral Intention as Moderating Variable. https://doi.org/10.33826/ijmras/v06i05.1

Candy, & Rudyanto. (2022). Faktor-Faktor Yang Mempengaruhi Niat Dalam Penggunaan Sistem Pembayaran Seluler. Jurnal Ekonomi & Ekonomi Syariah, 5(2), 2599–3410.

Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32. https://doi.org/10.1016/j.jbef.2021.100574

Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8). https://doi.org/10.1016/j.heliyon.2021.e07807

Horner dan Cunnane. (2017). Edge Of Page Margin Crop Marks Margin About The City Of London Corporation. https://www.cityoflondon.gov.uk/business/economic-research-and-

Jogiyanto. (2007). Sistem Informasi Keperilakuan. Andi.

Kang, J. (2018). Mobile payment in Fintech environment: trends, security challenges, and services. Human-Centric Computing and Information Sciences, 8(1). https://doi.org/10.1186/s13673-018-0155-4

Karsen, M., Chandra, Y. U., & Juwitasary, H. (2019). Technological factors of mobile payment: A systematic literature review. Procedia Computer Science, 157, 489–498. https://doi.org/10.1016/j.procs.2019.09.004

Le, M. T. H. (2021). Examining factors that boost intention and loyalty to use Fintech post-COVID-19 lockdown as a new normal behavior. Heliyon, 7(8). https://doi.org/10.1016/j.heliyon.2021.e07821

Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018a). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130. https://doi.org/10.1016/j.techfore.2017.12.015

Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018b). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130. https://doi.org/10.1016/j.techfore.2017.12.015

Rathinam Karthikeyan, S. (2013). Mobile Payments A Comparative study between European and Non-European Market. http://www.diva-portal.org/smash/search.jsf?dswid=3878&searchType=UNDERGRADUATE&faces-redirect=true&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aqe=%5B%5D&aq2=%5B%5B%5D%5D

Senyo, P. K., & Osabutey, E. L. C. (2020). Unearthing antecedents to financial inclusion through FinTech innovations. Technovation, 98. https://doi.org/10.1016/j.technovation.2020.102155

Shankar, A., & Datta, B. (2018). Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective. Global Business Review, 19(3_suppl), S72–S89. https://doi.org/10.1177/0972150918757870

Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022

Statista. (2022, June). Number of users of selected mobile wallets in Indonesia in 2020, with forecasts from 2021 to 2025. Https://Www.Statista.Com/Statistics/1271296/Mobile-Wallet-User-Forecast-in-Indonesia/.

Toader, E., Firtescu, B. N., Roman, A., & Anton, S. G. (2018). Impact of information and communication technology infrastructure on economic growth: An empirical assessment for the EU countries. Sustainability (Switzerland), 10(10). https://doi.org/10.3390/su10103750

Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Determinan Perilaku Penggunaan Mobile Payment: Pendekatan Technology Acceptance Model dan Theory Reasoned Action

Dimensions Badge
Article History
Submitted: 2025-01-26
Published: 2025-02-06
Abstract View: 39 times
PDF Download: 46 times
How to Cite
Boki, E., & Simanjuntak, P. (2025). Determinan Perilaku Penggunaan Mobile Payment: Pendekatan Technology Acceptance Model dan Theory Reasoned Action. Ekonomi, Keuangan, Investasi Dan Syariah (EKUITAS), 6(3), 212-220. https://doi.org/10.47065/ekuitas.v6i3.6857
Section
Articles