ANALYSIS OF GENERATION Z INTEREST IN DONATING THROUGH FINTECH: A TECHNOLOGY ACCEPTANCE MODEL (TAM) THEORY APPROACH WITH THE SEM-PLS MODEL OF MEDIATION EFFECTS
Abstract
The acceleration of digital transformation in the financial sector is growing so rapidly which is marked by the growth of Financial Technology (FinTech) and the high public interest in using FinTech services. This development also propagates to the digital philanthropy movement, one of which is through online donation platforms (E-Donation) where young people are a group that has considerable potential in accumulating donations digitally in Indonesia in the period leading up to the demographic bonus. This study aims to analyze the factors that influence the interest of the younger generation in donating to the e-donation platform with a Technology Acceptance Model (TAM) theory approach using the Structural Equation Model-Partial Least Square (SEM-PLS) model analysis method of mediation effects in Langsa City. The variables used in this study are Knowledge, Perception of Usability, Ease of Use, Web Security Trust as an independent variable, Attitude as a mediating variable. The respondents who are the focus of this study are people who fall into the relevant generation Z category that have used Fintech services (17-26 years) which were randomly taken with a total of 79 samples. The results showed that the variables Perception of Usability and Ease of Use influenced interest both directly and through the mediation effect with a stronger influence with the mediation effect. While the perception of web security has not affected interest, which means it implies that generation Z is still hesitant about web security on e-donation platforms which can occur due to the rampant fraud through digital platforms widely. The results of this study imply that the improvement of the cyber security system, especially on financial platforms specifically on e-donation, to get more attention related to the level of security so that public trust and interest in donating is maintained.
References
Arisandi, G, and A Hayati. 2023. “Determinasi Minat Membayar Zakat Masyarakat Milenial Melalui Mobile Banking Syariah Di Kota Bandung.” Jurnal Ekonomi Dan Bisnis Islami XIII (2): 51–71. https://journal.feb.unpad.ac.id/index.php/jebi/article/viewFile/2098/276.
Davis, Fred D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–40.
Ghazali, Imam. 2014. Structural Equation Modeling, Metode Alternatif Dengan. Partial Least Square (PLS). 4th ed. Semarang: Badan Penerbit Universitas.
———. 2016. Aplikasi Analisis Multivariete Dengan Program. 8th ed. Semarang: Badan Penerbit. Universitas Diponegoro.
Ghazali, Imam, and Hengky Latan. 2015. Konsep, Teknik, Aplikasi Menggunakan Smart PLS 3.0 Untuk Penelitian Empiris. Semarang: BP Undip.
Hair, J., Ringle, C. and Sarstedt, M. 2011. “PLS-SEM: Indeed a Silver Bullet.” Journal of Marketing Theory and Practice, no. 19: 139–51. https://doi.org/10.2753/MTP1069-6679190202.
Hair Jr., J.F., et al. 2014. “Partial Least Squares Structural Equation Modeling (PLS-SEM) An Emerging Tool in Business Research.” European Business Review, no. 26: 106–21. https://doi.org/10.1108/EBR-10-2013-0128.
Hamid, Sofyan, and Heri Kurniawan. 2009. Metode Penelitian Kuantitatif Kualitatif Dan R & D. Bandung: Alfabeta.
Latan, Hengky, and Selva Temalagi. 2013. Analisis Multivariate Teknik Dan Aplikasi Menggunakan Program IBM SPSS 20,0. 1st ed. Bandung: Alfabeta.
PRESTAMA, FAWZI BHAKTI, MUHAMMAD IQBAL, and SELAMET RIYADI. 2019. “Potensi Finansial Teknologi Syariah Dalam Menjangkau Pembiayaan Non-Bank.” Al-Masraf : Jurnal Lembaga Keuangan Dan Perbankan 4 (2): 147. https://doi.org/10.15548/al-masraf.v4i2.264.
Putri, T M, and S Herman. 2022. “Pengaruh Model Penerimaan Teknologi Dan Literasi Keuangan Syariah Terhadap Niat Transaksi Zakat, Infaq, Dan Sedekah (ZIS) Berbasis Digital (Studi Kasus ….” Al-Istimrar: Jurnal Ekonomi Syariah 1: 186–214. https://jurnal.ishlahiyah.ac.id/index.php/istimrar/article/view/149%0Ahttps://jurnal.ishlahiyah.ac.id/index.php/istimrar/article/download/149/113.
Qalbi, A’yun, and Raditya Sukmana. 2022. “Determinants of Student’s Intention to Online Cash Waqf Using Modification of Technology Acceptance Model.” Jurnal Ekonomi Syariah Teori Dan Terapan 9 (1). https://doi.org/10.20473/vol9iss20221pp78-91.
Sofyan, Yamin, and Heri Kurniawan. 2011. Generasi Baru Mengolah Data Penelitian Dengan Partial Least Square Path Modeling. Jakarta: Penerbit Salemba Infotek.
Sugiyono. 2011. Metode Penelitian Kuantitatif, Kualitatif, Dan R&D. Bandung: Alfabeta.
Usman, H, D Mulia, C Chairy, and N Widowati. 2020. “Integrating Trust, Religiosity and Image into Technology Acceptance Model: The Case of the Islamic Philanthropy in Indonesia.” Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-01-2020-0020.
Wulannata, Adhitya Imanuel. 2017. “Analisis SWOT Implementasi Teknologi Finansial Terhadap Kualitas Layanan Perbankan Di Indonesia,.” Jurnal Ekonomi Dan Bisnis 20 (1): 133–44.
Zis, Sirajul Fuad, Nursyirwan Effendi, and Elva Ronaning Roem. 2021. “Perubahan Perilaku Komunikasi Generasi Milenial Dan Generasi Z Di Era Digital.” Satwika : Kajian Ilmu Budaya Dan Perubahan Sosial 5 (1): 69–87. https://doi.org/10.22219/satwika.v5i1.15550.
Copyright (c) 2024 Elsa Febriani
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.