Analisis Faktor-Faktor yang Mempengaruhi Niat untuk Menggunakan Mobile Payment pada Masyarakat Kota Batam
Abstract
Mobile payment sebagai sistem pembayaran baru dengan teknologi membuat calon pengguna mempertimbangkan berbagai faktor sebelum berniat menggunakan. Penelitian bertujuan untuk mengetahui apakah faktor-faktor berupa persepsi biaya, persepsi resiko keuangan, usia, persepsi kemudahan penggunaan, dan persepsi keamanan mempengaruhi niat menggunakan mobile payment. Sebanyak 414 responden masyarakat Kota Batam digunakan sebagai subjek penelitian melalui penyebaran kuesioner. Penelitian menggunakan pendekatan kuantitatif dengan pengujian data primer melalui SEM-PLS. Hasil menunjukkan bahwa resiko keuangan, keamanan, serta kemudahan penggunaan menjadi faktor penentu niat penggunaan mobile payment. Namun, persepsi biaya tidak ditemukan hubungan yang signifikan. Usia juga tidak ditemukan hubungan yang signifikan terhadap kemudahan penggunaan mobile payment.
References
Aydin, G. (2016). Adoption of mobile payment systems: a study on mobile wallets. Pressacademia, 5(1), 73–73. https://doi.org/10.17261/pressacademia.2016116555
Badan Pusat Statistik Kota Batam. (2019). Retrieved from www.batamkota.bps.go.id
Bank Indonesia. (2019). Retrieved from bi.go.id
Busu, S., Karim, N. A., & Haron, H. (2018). Factors of adoption intention for near field communication mobile payment. Indonesian Journal of Electrical Engineering and Computer Science, 11(1), 98–104. https://doi.org/10.11591/ijeecs.v11.i1.pp98-104
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. https://doi.org/10.1287/mnsc.35.8.982
de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146(October 2017), 931–944. https://doi.org/10.1016/j.techfore.2018.09.018
Denaputri, Annisa; Usman, O. (2019). Effect of Perceived Trust, Perceived Security, Perceived Usefulness and Perceived Ease of use on Customers’ Intention to Use Mobile Payment. Harvard Business Review, 1.
Dwi. (2021). Sepanjang Pandemi, Pengguna LinkAja Capai 61 Juta Orang. Retrieved from https://rm.id/baca-berita/ekonomi-bisnis/60740/sepanjang-pandemi-pengguna-linkaja-capai-61-juta-orang
Fiedler, M., & Öztüren, A. (2014). Online behavior and loyalty program participation-parameters influencing the acceptance of contactless payment devices. Research Journal of Applied Sciences, Engineering and Technology, 7(15), 3188–3197. https://doi.org/10.19026/rjaset.7.660
Fitra, S. (2019). Perbankan dan Fintech Pembayaran, Bukan Lawan tapi Kawan. https://katadata.co.id/berita/2019/10/07/perbankan-dan-fintech-pembayaran-bukan-lawan-tapi-kawan
Gana, K. C., Mathew, A. O., Joseph, J., Rodrigues, L. L. R., & Sriram, K. V. (2018). An empirical study on customer adoption of mobile payment application in India. International Journal of Enterprise Network Management, 9(3/4), 363. https://doi.org/10.1504/ijenm.2018.10015851
Gia-Shie Liu, & Pham Tan Tai. (2016). A Study of Factors Affecting the Intention to Use Mobile Payment Services in Vietnam. Economics World, 4(6), 249–273. https://doi.org/10.17265/2328-7144/2016.06.001
Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24–53. https://doi.org/10.1108/14502191211225365
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. In Pearson custom library. https://doi.org/10.1038/259433b0
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580. https://doi.org/10.1007/s00180-012-0317-1
Jannah, S. M. (2020). Transaksi OVO Tembus 1 Miliar di Tahun 2019. Retrieved from https://tirto.id/transaksi-ovo-tembus-1-miliar-di-tahun-2019-eroV
Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111–122. https://doi.org/10.1016/j.chb.2017.10.035
Kabata, D. (2015). Determinants of Mobile Payment Use by Consumers in Kenya. International Journal of Computer Applications & Information Technology, 8(I), 8(I), 152–159.
Kurniawan, D. (2020). Pengguna Aplikasi Jenius Capai 2,4 Juta. Retrieved from https://voi.id/berita/3988/pengguna-aplikasi-jenius-capai-2-4-juta#:~:text=Tak hanya itu%2C kredit juga,8 persen dari tahun sebelumnya.
Lau, M. M., Lam, A. Y. C., Cheung, R., & Leung, T. F. (2019). Understanding determinants of customer behavioral intention in using mobile payment at convenience stores. ACM International Conference Proceeding Series, 357–362. https://doi.org/10.1145/3306500.3306549
Lema, A. (2017). Factors influencing the adoption of mobile financial services in the unbanked population. Inkanyiso: Journal of Humanities and Social Sciences, 9(1), 37-51–51.
Liébana-Cabanillas, F., de Luna, I. R., & Montoro-Ríosa, F. (2017). Intention to use new mobile payment systems: A comparative analysis of SMS and NFC payments. Economic Research-Ekonomska Istrazivanja 30(1), 892–910. https://doi.org/10.1080/1331677X.2017.1305784
Liu, Y., Wang, M., Huang, D., Huang, Q., Yang, H., & Li, Z. (2019). The impact of mobility, risk, and cost on the users’ intention to adopt mobile payments. Information Systems and E-Business Management, 17(2–4), 319–342. https://doi.org/10.1007/s10257-019-00449-0
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. https://doi.org/10.1016/j.chb.2004.03.003
Ma, L., Su, X., Yu, Y., Wang, C., Lin, K., & Lin, M. (2018). What Drives the Use of M-Payment? An Empirical Study about Alipay and WeChat Payment. 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018, 71471118, 1–6. https://doi.org/10.1109/ICSSSM.2018.8465029
Moorthy, K., Chun T’ing, L., Chea Yee, K., Wen Huey, A., Joe In, L., Chyi Feng, P., & Jia Yi, T. (2020). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance and Economics, 25(3), 349–364. https://doi.org/10.1002/ijfe.1756
Musa, A., Khan, H. U., & AlShare, K. A. (2015). Factors influence consumers’ adoption of mobile payment devices in Qatar. International Journal of Mobile Communications, 13(6), 670–689. https://doi.org/10.1504/IJMC.2015.072100
Nguyen, T. D., & Huynh, P. A. (2018). The roles of perceived risk and trust on E–payment adoption. Studies in Computational Intelligence, 760, 926–940. https://doi.org/10.1007/978-3-319-73150-6_68
Pauchard, L. (2019). A Comparison of the Different Types of Risk Perceived by Users that Are Hindering the Adoption of Mobile Payment. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 285). Springer International Publishing. https://doi.org/10.1007/978-3-030-
Pham, T. T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172. https://doi.org/10.1016/j.techsoc.2015.05.004
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016). An investigation of mobile payment (mpayment) services in Thailand. Asia-Pacific Journal of Business Administration, 5(2). https://doi.org/http://dx.doi.org/10.1108/APJBA-10-2014-0119
Pusparisa, Y. (2019). LinkAja, OVO, atau Go-Pay: Mana yang Anda Pilih? Retrieved from https://katadata.co.id/ariayudhistira/infografik/5e9a50d90e74e/linkaja-ovo-atau-go-pay-mana-yang-anda-pilih
PwC. (2016). Mobile Payment: Repräsentative Bevölkerungsumfrage 2016. Retrieved from https://www.pwc.de/de/digitale-transformation/assets/pwc-bevoelkerungsbefragung-mobile- payment-2016.pdf
Ramos-de-Luna, I., Montoro-Ríos, F., Liébana-Cabanillas, F., & Luna, J. G. de. (2017). NFC technology acceptance for mobile payments: A Brazilian Perspective. Review of Business Management, 19(63), 82–103. https://doi.org/10.7819/rbgn.v0i0.2315
Reith, R., Buck, C., Walther, D., Lis, B., & Eymann, T. (2019). How Privacy Affects the Acceptance of Mobile Payment Solutions. 0–19. https://aisel.aisnet.org/ecis2019_rp/146
Rusydi Ananda, M. F. (2018). STATISTIKA PENDIDIKAN : Teori dan Praktik Dalam Pendidikan. In Journal of Visual Languages & Computing, CV. WIDYA PUSPITA (Vol. 11, Issue 3).
Safitri, K. (2020). Per April, Jumlah Pengguna DANA Tembus 40 Juta User Per April 2020. Retrieved from https://money.kompas.com/read/2020/06/19/170609726/per-april-jumlah-pengguna-dana-tembus-40-juta-user-per-april-2020
Saunders, M., Lewis, P., & Thornhill, A. (2013). A playbook for Research Methods.
Shin, D. H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428–438. https://doi.org/10.1016/j.intcom.2010.05.001
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(March 2019), 101894. https://doi.org/10.1016/j.jretconser.2019.101894
Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2016). Mobile payment adoption: Classification and review of the extant literature. Journal Customer Behaviour, 14(2), 127–146.
Soodan, V., & Rana, A. (2020). Modeling customers’ intention to use e-wallet in a developing nation: Extending UTAUT2 with security, privacy and savings. Journal of Electronic Commerce in Organizations, 18(1), 89–114. https://doi.org/10.4018/JECO.2020010105
Sugiyono. (2007). Statistika Untuk Penelitian (pp. 1–370). https://doi.org/10.1016/S0969-4765(04)00066-9
Suhartanto, D. (2020). Analisa Data untuk Riset Bisnis: SPSS, AMOS, PLS (2nd ed.). Politeknik Negeri Bandung.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144
Teng, P. K., Ling, T. J., & Seng, K. W. K. (2018). Understanding Customer Intention to Use Mobile Payment Services in Nanjing,China. International Journal of Community Development & Management Studies, 2, 49–60. https://www.informingscience.org/Articles/v2p049-060Teng4446.pdf
Teo, A. C., Tan, G. W. H., Cheah, C. M., Ooi, K. B., & Yew, K. T. (2012). Can the demographic and subjective norms influence the adoption of mobile banking? International Journal of Mobile Communications, 10(6), 578–597. https://doi.org/10.1504/IJMC.2012.049757
Tingari, W. M., & Sanhori, M. M. (2016). Assessing the acceptance of mobile payment in sudan - using tam. International Journal of Engineering Sciences & Research Technology, 5(2), 8–19. Retrieved from http://www.ijesrt.com/issues pdf file/Archive-2016/February-2016/2_ASSESSING THE ACCEPTANCE OF MOBILE PAYMENT IN SUDAN - USING TAM.pdf
Wong, W. H., & Mo, W. Y. (2019). A Study of Consumer Intention of Mobile Payment in Hong Kong , Based on Perceived Risk , Perceived Trust , Perceived Security and Technological Acceptance Model. Journal of Advanced Management Science, 7(2), 33–38. https://doi.org/10.18178/joams.7.2.33-38
Yadav, P. (2020). ACTIVE DETERMINANTS FOR ADOPTION OF MOBILE WALLET. Authentic Assessment in Social Studies, 12(1), 85–95. https://doi.org/10.4324/9780429261114-6
Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management and Data Systems, 115(2), 253–269. https://doi.org/10.1108/IMDS-08-2014-0243
Zhao, H., Anong, S. T., & Zhang, L. (2019). Understanding the impact of financial incentives on NFC mobile payment adoption: An experimental analysis. International Journal of Bank Marketing, 37(5), 1296–1312. https://doi.org/10.1108/IJBM-08-2018-0229
Ziwei, F., Tham, J., Azam, S. M. F., & Vocational, T. (2019). Determinants of Users’ Willingness To Use Mobile Payment: an Empirical Study in Tongren Univerisity, China. European Journal of Management and Marketing Studies, 4(4), 16–38. https://doi.org/10.5281/zenodo.3560323
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