Students’ use of Internet-Based Payment Applications: An Extension of the Technology Acceptance Model Theory

Authors

  • Muchamad Syafruddin Diponegoro University, Semarang

DOI:

https://doi.org/10.55927/ajae.v5i2.16472

Keywords:

Perceived Organizational Innovation (POI), Internet-Based Payment Applications (IPA), Resource-Based Theory (RBT) as an extension of the Technology Acceptance Model (TAM)

Abstract

The main objective of this study is to identify and examine whether perceived organizational innovation (POI) moderates the relationship between perceived trust (PT), perceived risk (PR), social influence (SI), perceived ease of use (PEU), and perceived usefulness (PU) with the use of internet-based payment applications by students (IPA). The analysis is grounded in the Resource-Based Theory (RBT) as an extension of the Technology Acceptance Model (TAM). Data were collected using a survey method through questionnaires distributed to students who use internet-based payment systems. A total of 468 student respondents were obtained using a non-probability sampling method, specifically convenience (accidental) sampling. SPSS 25 was used to conduct descriptive statistical analysis and regression testing for all hypotheses. The results indicate that four factors—PT, SI, PEU, and PU—have a significant positive effect on the use of internet-based payment systems, while PR has a significant negative effect. Another finding shows that perceived organizational innovation (POI) significantly strengthens the relationship between all independent variables (PT, PR, SI, PEU, and PU) and the dependent variable (IPA).

Downloads

Download data is not yet available.

References

Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22(1), 15–29.

Arvidsson, N. (2014). Consumer attitudes on mobile payment services. International Journal of Bank Marketing, 32(2), 150–170.

Barney, J., Wright, M., & Ketchen, D. J. (2001). The resource-based view of the firm: Ten years after 1991. Journal of Management, 27(6), 625–641.

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

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

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.

Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109–122.

Karahanna, E., & Limayem, M. (2000). E-mail and v-mail usage: Generalizing across technologies. Journal of Organizational Computing and Electronic Commerce, 10(1), 49–66.

Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption: An extension of the technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322.

Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322.

Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services. Information & Management, 48, 393–403.

Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432.

Michaelidou, N., Siamagka, N. T., & Christodoulides, G. (2011). Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands. Industrial Marketing Management, 40(7), 1153–1159.

Teece, D. J., & Pisano, G. (1994). The dynamic capabilities of firms: An introduction. Industrial and Corporate Change, 3(3), 537–556.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

Wamba, S. F., & Carter, L. (2013). Twitter adoption and use by SMEs: An empirical study. Proceedings of the 46th Hawaii International Conference on System Sciences.

Published

2026-05-02

How to Cite

Muchamad Syafruddin. (2026). Students’ use of Internet-Based Payment Applications: An Extension of the Technology Acceptance Model Theory. Asian Journal of Applied Education (AJAE), 5(2), 373–390. https://doi.org/10.55927/ajae.v5i2.16472

Issue

Section

Articles