Determinants of the Use of E-Wallet for Transaction Payment among College Students
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Keywords

perceived usefulness
perceived ease of use
attitude toward usage
behavioral intention to use

How to Cite

Kustono, A. S., Nanggala, A. Y. A., & Mas’ud, I. (2020). Determinants of the Use of E-Wallet for Transaction Payment among College Students. Journal of Economics, Business, and Accountancy Ventura, 23(1), 85-95. https://doi.org/10.14414/jebav.v23i1.2245
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Abstract

This study aims to determine the factors that influence behavioral intentions to use E-wallet. The factors tested include application quality, perceived usefulness, perceived ease of use, and attitude toward using. The population in this study is college students in Jember Regency, Indonesia. Data analysis is carried out using Variance-based Partial Least Square. The number of samples used is 180 college students as users of the e-wallet application. Six hypotheses are tested, and four hypotheses are successfully accepted. Perceived ease of use has a positive effect on perceived usefulness. Perceived usefulness has a positive effect on attitude toward using e-wallet applications. Attitude plays a vital role in behavioral intentions to use e-wallets. The quality of the e-wallet application does not affect the level of perceived usefulness. The perceived ease of use of the application has no direct effect on attitude. This study's results are beneficial for e-wallet providers to increase the level of the use of e-wallet.

References

Adhiputra, M. W. (2015). Aplikasi Technology Acceptance Model terhadap pengguna layanan internet banking. Kalbisocio, 2(1), 52–63.

Aggorowati, M. A., Iriawan, N., Suhartono, and Gautama, N. (2012). Restructuring and expanding Technology Acceptance Model Structural Equation Model and Bayesian Approach. American Journal of Applied Sciences, 9(4), 496–504.

Alambaigi, A. & Ahangari, I. (2016). Technology Acceptance Model (TAM) as a predictor model for explaining agricultural experts behavior in acceptance of ICT. International Journal of Agricultural Management and Development, 6(2), 235–247.

Amoroso, D. L. & Magnier-Watanabe, R. (2012). Building a research model for mobile wallet consumer adoption: The case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94–110.

Bach, M. P., Čeljo, A. & Zoroja, J. (2016). Technology Acceptance model for business intelligence systems: preliminary research. Procedia Computer Science. The Author(s), 100, 995–1001.