FACTORS INFLUENCING THE INTENTION OF BEHAVIOR IN USING GOPAY MOBILE PAYMENT

Main Article Content

Joyce A. Turangan
Herman Ruslim

Abstract

At present, the development of technology and the internet is advancing rapidly and continues to grow from year to year. The number of smartphone and internet users is also increasing, leading to more frequent use of mobile payment applications. The use of mobile payment applications has several advantages, such as accelerating transactions and facilitating cashless payments. One of the applications used for mobile payment is GoPay, alongside other options such as OVO, Shopee, Dana, and other mobile payment platforms. The researcher aims to analyze the perception of the community towards GoPay as an electronic payment method using the Unified Theory of Acceptance and Use of Technology (UTAUT) approach, which explains user behavior toward information technology based on social influence, performance expectancy, effort expectancy, and facilitating conditions. Each determinant is then tested against behavioral intention. This study has four hypotheses that will be tested, and the data collected for this research is obtained through respondent answers from questionnaires. The data is analyzed using Partial Least Square (PLS) analysis with Smart-PLS software, and the research results indicate that all variables have a positive and significant influence on behavioral intention.

Article Details

Section
Articles

References

Chen, L. D. (2013). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, vol. 6. no,1, 32-52.

Choi, G, Chung, H (2013) Applying the Technology Acceptance Model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human-Computer Interaction 29(10): 619–628.

Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European business review, 26(2), 106-121.

Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.

Hayashi, Fumiko., dan Terri Bradford. 2014. Mobile Payments: Merchants’ Perspectives. Economic Review, Issue Q II, pp. 33-58.

Karahanna, E., Straub, D. W., and Chervany, N. L. (1999). Information Technology Adoption across Time: A cross-sectional comparison of preadoption and post-adoption beliefs, MIS Quarterly 23(2): 183–213.

Kim, C., Jahng, J., and Lee, J. (2007). An Empirical Investigation into the Utilization-Based Information Technology Success Model: Integrating task-performance and social influence perspective, Journal of Information Technology 22(2): 152–160.

Lu, J., Yao, J. E., and Yu, C. (2005). Personal Innovativeness, Social Influences and Adoption of Wireless Internet Services via Mobile Technology, Journal of Strategic Information Systems 14(3): 245–268.

Puspita, Yuanita Candra. (2019). Analisis kesesuaian teknologi penggunaan digital payment pada aplikasi OVO. Jurnal Manajemen Informatika. Vol. 9(2): 121-128.

qwords.com. Jumlah Pengguna Internet di Indonesia. (2018). Retrived from qwords.com, https://qwords.com/blog/jumlah-pengguna-internet-di-indonesia/

Safitri, Ernita Oktiviana, Yusi Tyroni Musityo, & Niken Hendrakusma Wardhani (2019). Analisis perilaku penggunaan mobile payment aplikasi OVO menggunakan technology acceptance model (TAM) termodifikasi. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer.Vol.3(8):8184-8189.

Sagayarani, Dorothy. (2017). Digital Payments in India. IOSR Journal of Business and Management (IOSRJBM. Vol.1(2):28-33.

Thakur, R. (2018). Customer engagement and online reviews. Journal of Retailing and Consumer Services, 41, 48-59.

Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392.

Tren Perkembangan Mobile Payment di Indonesia. (2018). Retrieved from dailysocial.id: https://dailysocial.id/post/perkembangan-mobile-payment-indonesia.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, pp. 425-478.