Model Perilaku Niat Berkelanjutan Adopsi Mobile Payment UMK di Jawa Timur
DOI:
https://doi.org/10.28926/briliant.v8i4.1547Keywords:
Perilaku, UMK, Niat Berkelanjutan, Mobile PaymentAbstract
Pesatnya perkembangan teknologi di berbagai aspek kehidupan dapat terlihat salah satunya dari kemunculan berbagai aplikasi, termasuk aplikasi mobile payment. Hal ini sangat menunjang perkembangan perekonomian digital Indonesia. Maka pemerintah mendorong pelaku pelaku UMK untuk ikut memperkuat para pelaku usaha agar siap bersaing secara global, sehingga ekonomi yang dijalankan dengan berbasis go digital. Penelitian ini akan mengkaji perilaku niat berkelanjutan adopsi mobile payment UMK di Jawa Timur. Jenis penelitian ini adalah penelitian kuantitatif dengan metode survey. Populasi pada penelitian ini adalah Pemilik UMK di Jawa Timur yang berjumlah 191.312 UMK dengan jumlah sampel 400 UMK. Teknik sampling penelitian ini adalah teknik proportionate stratified random sampling. Metode pengumpulan data dalam penelitian ini menggunakan kuesioner yang disebar ke responden dan dihitung dengan skala likert. Alat analisis menggunakan alat analisis SEM-PLS. Hasil penelitian ini adalah bahwa semua memiliki pengaruh positif dan signifikan, kecuali Confirmation memiliki pengaruh negatif dan tidak signifikan terhadap variabel Satisfaction.
References
Al-Emran, M., Alkhoudary, Y. A., Mezhuyev, V., & Al-Emran, M. (2019). Students and educators attitudes towards the use of M-Learning: Gender and smartphone ownership differences. International Journal of Interactive Mobile Technologies, 13(1), 127–135. https://doi.org/10.3991/ijim.v13i01.9374
Al-Emran, M., Arpaci, I., & Salloum, S. A. (2020). An empirical examination of continuous intention to use m-learning: An integrated model. Education and Information Technologies, 25(4), 2899–2918. https://doi.org/10.1007/s10639-019-10094-2
Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32, 201–214. https://doi.org/10.1016/S0167-9236(01)00111-7
Chen, G., & Campbell-bush, E. M. (2013). Teams as Innovative Systems : Multilevel Motivational Antecedents of Innovation in R & D Teams, 98(6), 1018–1027. https://doi.org/10.1037/a0032663
Chiu, W., Cho, H., & Chi, C. G. (2020). Consumers’ continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model. Information Technology and People, 34(3), 978–998. https://doi.org/10.1108/ITP-09-2019-0463
Company, G. (2018). “Easier payment with gopay,.â€
Joo, Y. J., Kim, N., & Kim, N. H. (2016). Factors predicting online university students’ use of a mobile learning management system (m-LMS). Educational Technology Research and Development, 64(4), 611–630. https://doi.org/10.1007/s11423-016-9436-7
Karjaluoto, H., Mattila, M., & Pento, T. (2002). Factors underlying attitude formation towards online banking in Finland. International Journal of Bank Marketing, 20(6), 261–272. https://doi.org/10.1108/02652320210446724
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. https://doi.org/10.1016/j.chb.2009.10.013
Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43(August 2017), 157–169. https://doi.org/10.1016/j.jretconser.2018.03.017
Park, J. K., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47(September 2018), 140–149. https://doi.org/10.1016/j.jretconser.2018.11.015
Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant’s intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52(June 2019), 101894. https://doi.org/10.1016/j.jretconser.2019.101894
Sivathanu, B. (2019). Adoption of digital payment systems in the era of demonetization in India: An empirical study. Journal of Science and Technology Policy Management, 10(1), 143–171. https://doi.org/10.1108/JSTPM-07-2017-0033
Sobti, N. (2019). Impact of demonetization on diffusion of mobile payment service in India: Antecedents of behavioral intention and adoption using extended UTAUT model. Journal of Advances in Management Research, 16(4), 472–497. https://doi.org/10.1108/JAMR-09-2018-0086
Ting, H., Yacob, Y., Liew, L., & Lau, W. M. (2016). Intention to Use Mobile Payment System: A Case of Developing Market by Ethnicity. Procedia - Social and Behavioral Sciences, 224(August 2015), 368–375. https://doi.org/10.1016/j.sbspro.2016.05.390
Venkatesh, V., & Hall, R. H. S. S. of B. U. of M. V. M. (2003). User Acceptance Of Information Technology: Toward A Unified View. Microvascular Research. https://doi.org/10.1006/mvre.1994.1019
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance And Use Of Information Technology: Extending The Unified Theory Of Acceptance And Use Of Technology. MIS Quarterly, 36(1), 157–178.
Widayani, A., Fiernaningsih, N., & Herijanto, P. (2022). Barriers to digital payment adoption: micro, small and medium enterprises. Management and Marketing, 17(4), 528–542. https://doi.org/10.2478/mmcks-2022-0029