MODEL PENERIMAAN TEKNOLOGI MOBILE PAYMENT PADA DIGITAL NATIVE DAN DIGITAL IMMIGRANT DI INDONESIA
Abstract
Penelitian ini merupakan penelitian survei pada pada pengguna mobile payment di Indonesia yang terbagi menjadi 2 kelompok yaitu kelompok generasi digital native dan digital immigrant. Tujuan dari penelitian ini yaitu untuk mengetahui pengaruh perceived usefullness, perceived ease of use, trust, perceived risk, social influence terhadap behavioral intention to reuse pada generasi digital native dan generasi digital immigrant. Jumlah responden dalam penelitan ini adalah 214 responden. Dalam penelitian ini sampel diambil dengan cara nonprobability sampling yaitu dengan teknik purposive sampling. Pengumpulan data yang digunakan dalam penelitian ini adalah dengan menggunakan kuesioner secara daring melalui Google Form. Sedangkan alat analisis dalam penelitan ini menggunakan Structural equation modeling (SEM). Berdasarkan hasil penelitian dan analisis data menunjukan bahwa : (1) Perceived usefullness berpengaruh positif terhadap behavioral intention to reuse (2) Pengaruh perceived usefullness terhadap behavioral intention to reuse mobile payment pada digital native lebih kuat daripada digital immigrant (3) Perceived ease of use berpengaruh positif terhadap perceived usefullness (4) Perceived ease of use berpengaruh positif terhadap behavioral intention to reuse (5) Perceived ease of use berpengaruh positif terhadap trust (6) Perceived ease of use terhadap behavioral intention to reuse mobile payment pada digital native lebih kuat daripada digital immigrant (7) Trust berpengaruh positif terhadap perceived usefullness (8) Trust berpengaruh positif terhadap behavioral intention to reuse (9) pengaruh trust terhadap behavioral intention to reuse mobile payment pada digital native lebih kuat daripada digital immigrant (10) Perceived risk berpengaruh negatif terhadap trust (11) Perceived risk berpengaruh negatif terhadap behavioral intention to reuse mobile payment (12) Perceived risk terhadap behavioral intention to reuse mobile payment pada digital native lebih kuat daripada digital immigrant (13) Social influence berpengaruh positif terhadap behavioral intention to reuse (14) pengaruh social influence terhadap behavioral intention to reuse mobile payment pada digital native lebih kuat daripada digital immigrant.
Kata Kunci: Technology Acceptance Model (TAM), Perceived Usefullness, Perceived Ease of Use, Trust, Perceived Risk Social Influence Behavioral Intention to Reuse, Digital Native, Digital Immigrant
Keywords
Full Text:
PDF (Bahasa Indonesia)References
Bank Indonesia. (2015). Statistik Metadata Sistem Pembayaran E-Money. [Online].http://www.bi.go.id/id/statistik/metadata/sistempembayaran/DocumentMetadataEMoney.pdf. [22 September 2016].
Bank Indonesia. (2016). Payment System License Information. [Online] http://www.bi.go.id/en/sistempembayaran/informasiperizinan/uangelektronik/Contents/Default.aspx [13 Oktober 2016]
Dahlberg, T., Mallat, N. and Oorni, A. (2003). Trust Enhanced Technology Acceptance Model-Consumer Acceptance of Mobile Payment Solutions: Tentative Evidence. Stockholm Mobility Roundtable, Stockholm, pp. 22-23.
Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly (13:3),319-339.
Davis, F., Bagozzi, R., & Warshaw, P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science (35:8), 982-1002.
Davis, F., Bagozzi, R., & Warshaw, P. (1992). Extrinsic and Intrinsic Motivation to Use Computers in The Worksplace. Journal of Applied Social Psychology (22:14), 1111-1132.
Djarwanto PS, dan Subagyo, Pangestu. (2005). Statistik Induktif. Edisi Kelima. BPFE. Yogyakarta.
Featherman, M. S., dan Pavlou, P. A. (2003). Predicting E-Services Adoption: A Perceived Risk Facets Perspective. International Journal of Human-Computer Studies, 59(4), 451-474
Gefen, D., dan Straub, D. W. (2004). Consumer Trust in B2C E-commerce and The Importance of Social Presence: Experiments in E-products and Eservices. Omega, 32(6), 407-424.
Guhr, N., Lou, T., Wiegard, R dan Breitner, M. (2013). Technology Readiness in Customers’ Perception and Acceptance of Mobile Payment: An Empirical Study in Finland, Germany, the USA and Japan. 11th International Conference. Wirtschafts Informatik Proceedings. Jerman. 2013.
Jakpat. (2018). “Mobile Payment in Indonesia”. Jakpat Free Survey Report.
Jogiyanto. (2007). Sistem Informasi Keperilakuan. Edisi Revisi. Andi Offset. Yogyakarta.
Koenig, L., Marquet, M., Palmer, A dan Zhao, L. Enjoyment and Social Influence: Predicting Mobile Payment Adoption. (2015). The Service Industries Journal.
Lai, Y. H. (2012). The Study of Technology Acceptance For E-wallets Application of Clinic Fees Payment. Health Journal (1949-4998), 4(11).
Lee, T. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165-180.
Li, R., Kim, J., dan Park, J. (2007). The Effects of Internet Shoppers' Trust on Their Purchasing Intention in China. Journal of Information Systems and Technology Management, 4(3), 269-286.
Lu, J., Yao, J. E., dan Yu, C. S. (2005). Personal Innovativeness, Social influences and Adoption of Wireless Internet Services Via Mobile Technology. The Journal of Strategic Information Systems, 14(3), 245-268.
Lu, Y., Yang, S., Chau, P. Y., dan Cao, Y. (2011). Dynamics Between The Trust Transfer Process and Intention To Use Mobile Payment Services: A Crossenvironment Perspective. Information & Management, 48(8), 393-403.
Luo, X., Li, H., Zhang, J., dan Shim, J. P. (2010). Examining Multi-dimensional Trust and Multi-faceted Risk in Initial Acceptance of Emerging Technologies: An empirical study of mobile banking services. Decision support systems, 49(2), 222- 234.
Malhotra, N. K., Kim, S. S., dan Agarwal, J. (2004). Internet Users' Information Privacy Concerns (IUIPC): The Construct, The Scale, and A Causal Model. Information Systems Research, 15(4), 336-355.
MasterCard,. “Mobile payments Readiness Index” (2012). [Online]. Available: http://mobilereadiness.mastercard.com/the-index/. 2012
MDI Ventures., dan Mandiri Sekuritas. “Mobile Payments in Indonesia: Race to Big Data Domination”. 2017.
Moore, G., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information System Research (2:3), 192-222.
Mun, P.Y., Khalid, H dan Nadarajah, D. (2017). Millennials’ Perception on Mobile Payment Services in Malaysia. Procedia Computer Science 124.397–404
Munoz, F., Climent , S dan Cabanillas S. (2016). Determinants of Intention to Use the Mobile Banking Apps: An Extension of The Classic TAM Model. Spanish Journal of Marketing. SJME vol 14.
Nguyen, N., Cao, K., Dang, L., dan Nguyen A. (2016). Predicting Consumer Intention to Use Mobile Payment Services: Empirical Evidence from Vietnam. International Journal of Marketing Studies; Vol. 8, No. 1.
Nysveen, H., Pedersen dan Thorbjørnsen. (2005). Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons. Journal of the Academy of Marketing Science. Volume: 33 No: 3, 330-346
Pavlou, P. A., Liang, H., dan Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31(1), 105-136.
Phonthanukitithaworn, C. (2016). User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand. Journal of Internet Banking and Commerce. Vol. 20, no. 1.
Sangadji., Etta Mamang., dan Sopiah. (2013). Perilaku Konsumen : Pendekatan Praktis Disertai Himpunan Jurnal Penelitian. Edisi pertama. Andi Offset. Yogyakarta
Shin, D. H. (2009). Towards an Understanding of The Consumer Acceptance of Mobile Wallet. Computers in Human Behavior, 25(6), 1343-1354.
Shin, D. H., dan Kim, W. Y. (2008). Applying The Technology Acceptance Model and Flow Theory to Cyworld User Behavior: Implication of The Web 2.0 User Acceptance. Cyber Psychology & Behavior, 11(3), 378-382
Suliyanto. (2018). Metode Penelitian Bisnis. Andi Offset. Yogyakarta.
Suresh, A.M., dan Shashikala, R. (2011). Identifying Factors of Consumer Perceived Risk towards Online Shopping in India”, IPEDR, 12, p.336-341.
Teo, H dan Pok, H. (2003). Adoption of the Internet and WAP-Enabled Phones in Singapore. Behaviour & Information.Vol: 22, No: 4, 281–289
Venkatesh, V., & Davis, F. (2000). A Theoritical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science (45:2), 186-204.
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly (27:3), 425-478.
DOI: https://doi.org/10.32424/jeba.v21i4.1542
Refbacks
- There are currently no refbacks.
View My Stats
Indexed by :
Partnership with Professional Association :