Impact Of Digital Technostress On Interest In Using Fintech E-Wallets Among Generation Z Consumers In Lampung Province

Gayuh Rizki Utomo; Endang Asliana; Lihan Rini Puspo Wijaya

doi:10.61132/keat.v1i3.366

Authors

Gayuh Rizki Utomo Politeknik Negeri Lampung
Endang Asliana Politeknik Negeri Lampung
Lihan Rini Puspo Wijaya Politeknik Negeri Lampung

DOI:

https://doi.org/10.61132/keat.v1i3.366

Keywords:

E-Wallet, Fintech, Fintech Intention, Gen Z

Abstract

This research aims to find out how digital technostress influences interest in using fintech e-wallets among millennial generation consumers in Lampung Province. The population in this research is generation Z consumers in Lampung Province. The sampling technique was carried out using purposive sampling. Data collection in this study was carried out by distributing questionnaires to 100 respondents. The method used in this research is quantitative research and uses primary data. In this research there are four independent variables, namely complexity, overload, invasion, and uncertainty, while the dependent variable used is intention. This study uses multiple linear regression analysis tools with the help of the SPSS version 23 program. The results of the research show that complexity and overload have a positive and significant effect on interest in using fintech e-wallets among generation Z consumers in Lampung Province, whereas invasion and uncertainty have no effect on interest in using fintech e-wallets. Fintech e-wallet for generation Z consumers in Lampung Province.

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References

APJII. (2023). Laporan Survei Internet APJII. Jakarta Selatan. Diakses dari https://survei.apjii.or.id/survei.

Alkhwaldi, A. F., Alharasis, E. E., Shehadeh, M., Abu-alsondos, I. A., Oudat, M. S., Ahmad, A., & Atta, B. (2022). Towards an Understanding of FinTech Users Adoption : Intention and e-Loyalty Post-COVID-19 from a Developing Country Perspective. Artikel Aspek Ekonomi dan Bisnis, 14(19).

Bitner, M. J., Ostrom, A. L., & Meuter, M. L. (2002). Menerapkan layanan mandiri yang sukses teknologi. Akademi Eksekutif Manajemen,16(4), 96–109. https://doi.org/10.5465/ame.2002.8951333.

Davis, F. (1989). A Technology Acceptance Model for Empirically Testing New-End User Information Systems: Theory and Results. Disertasi. Massachusetts Institute of Technology, 8(1), 233-250.

Farah, N., Zainun, H., Johari, J., dan Adnan, Z. (2019). Technostress and Commitment to Change : The Moderating Role of Internal Communication Technostress and Commitment to Change : The Moderating Role of Internal. International Journal of Public Administration. https://doi.org/10.1080/01900692.2019.1672180/.

Farmania, A., dan Elsyah, R., D. (2022). Fenomena Technostress di Masa Pandemi COVID-19 Akibat Work From Home di Indonesia. Universitas Bina Nusantara,14(14).

Fintach Indonesia, 2022. Annual Members Survey. Asosiasi Fintech Indonesia 78 hal.

Ghozali, I. (2021). Aplikasi Analisi Multivariate dengan Program IBM SPSS 26. Badan Penerbit Universitas Diponegoro. Semarang. 506 hal.

Komisi Pemilihan Umum, (2023). Daftar Pemilih Tetap. Diakses pada https://lampung.antaranews.com/berita/690174/generasi-milenial-dominasi -dpt-pemilu-2024-di-lampung.

Rabaa'i. (2021). Menjelajahi Faktor Penentu Keberlanjutan Pengguna Niat Menggunakan Layanan Mobile Banking di Kuwait: Memperluas Model Ekspektasi-Konfirmasi. Jurnal Sistem Informasi Asia Pasifik, 31(2), 141-184. https://doi.org/10.14329/apjis/.

Ragu, N. Tarafdar, M., dan Tu, Q. (2008). Konsekuensinya technostress untuk pengguna akhir dalam organisasi: Pengembangan dan validasi konseptual. Penelitian Sistem Informasi, 19(4), 417-433. https://doi.org/10.1287/isre.1070.0165/.

Schneier, B. (2000). Secrets and Lies: Digital Security in a Networked World. Business Weekly Publications Inc.

Safitri, T. A. (2021). Kontribusi Fintech Payment Terhadap Perilaku Manajemen Keuangan di Masa Pandemi COVID-19. Jurnal Ekonomi Manajemen Sumber Daya, 23(2), 140-145.

Sugiyono, (2017). Metode penelitian Kuantitatif, Kualitatif, dan R&D. Bandung CV. Alfabeta.

Tu, Q., Wang, K., dan Shu, Q. (2011). The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress : A Social Cognitive Theory Perspective. International Journal of Human, 27(10), 923-939. https://doi.org/10.1080/10447318.2011.555313/.

Xie, J., Ye, L., Huang, W., dan Ye, M. (2021). Understanding FinTech Platform Adoption : Impacts of Perceived Value and Perceived Risk, 16(5), 1893-1911.

Yoon et al. (2020). An empirical study on factors affecting customers acceptance of internet-only banks in Korea. Cogent Business & Management, 7(1), 179-259. https://doi.org/10.1080/23311975.2020.1792259.