Islamic Financial Technology Usage: An Investing Perspectives On Generation Z

Tri Wahyu Oktavendi(1*)

(1) Universitas Muhammadiyah Malang
(*) Corresponding Author

Abstract

Today, in Sharia Finance Sector, there was some a new model of sharia finance based on Financial Technology, it is called Islamic Financial Technology (I-Fintech). In other side, A Generation Z comes up as consumer of I-Fintech in the future. There is a big question like “do Generation Z accept I-Fintech in the future?”. Using Technology Acceptance Model with 3 proxy, it is Perceived Usefulness, Perceived Ease of Use, and Attitude Toward Using. The result of this research show that Perceived Usefulness and Perceived Ease of Use affect on Attitude Toward Using I-Fintech. The conclusion is Generation Z’s perceived on I-Fintech are depend on its usefulness and ease of use. This result implied on the development focus of I-Fintech in the future. 

Full Text:

PDF

References

Bencsik, A., & Machova, R. (2016). Knowledge sharing problems from the viewpoint of intergeneration management. Paper presented at the ICMLG2016-4th International Conference on Management,

Leadership and Governance: ICMLG2016.

Chesney, T. (2006). An acceptance model for useful and fun information systems. Human Technology: An Interdisciplinary Journal on Humans in ICT Environments.

Chuang, L.-M., Liu, C.-C., & Kao, H.-K. (2016). The adoption of fintech service: TAM perspective.

International Journal of Management and Administrative Sciences, 3(7), 1-15.

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.

Febrianti, D., Hariadi, B., & Baridwan, Z. (2019). Technology Acceptance Model Sebagai Prediktor Penggunaan SIMDA. Jurnal Reviu Akuntansi dan Keuangan, 9(1), 42-57.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and> Foa, U., Converse. J. Jr., Tornblom, KY, & Foa, EB (Eds.)(1993). Resource theory: Explorations and applications. San Diego: Academic Press.

Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS quarterly, 21(3).

Iqbal, S., & Ahmed Bhatti, Z. (2015). An investigation of university student readiness towards m-learning using technology acceptance model. International Review of Research in Open and Distributed

Learning, 16(4), 83-103.

Jurkiewicz, C. L. (2000). Generation X and the public employee. Public Personnel Management, 29(1), 55-74.

Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.

Mustakini, J. (2007). Sistem Informasi Keperilakuan. Yogyakarta: Andi.

Putra, Y. S. (2017). Theoritical review: Teori perbedaan generasi. Jurnal Ilmiah Among Makarti, 9(18).

Setyaningsih, T., Murti, N. W., & Nugrahaningsih, P. (2019). Fintech Based Peer to Peer Lending: An Opportunity or a Threat? Riset Akuntansi dan Keuangan Indonesia, 4(3), 122-133.

Sidlo, K. (2017). Islamic finance 2017: State of the art and outlook for the future.

Triandis, H. (1979). (1980). Values, attitudes, and interpersonal behavior. In H. Howe and M. Page (Eds.).

Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.

Article Metrics

Abstract view(s): 667 time(s)
PDF: 694 time(s)

Refbacks