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Journal : Sisforma: Journal of Information Systems

Investigating Fintech Service Adoption using Extended-ECM Bernardinus Harnadi; Albertus Dwiyoga Widiantoro; FX Hendra Prasetya
SISFORMA Vol 9, No 1: May 2022
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.746 KB) | DOI: 10.24167/sisforma.v9i1.4143

Abstract

This paper aims to investigate the Fintech Service Acceptance on Student in Indonesia. The investigating of the acceptance employs extended-ECM to reveal the student’s perception of usefulness, confirmation, and satisfaction in using fintech service.  The extend of Expectation–confirmation model (ECM) using technological self-efficacy (TSE) and perceived ease of use is used in this research to investigate the adoption study in fintech area. This research also adds trust factor to fit up the investigation in the area. The 302 questionnaires from respondents are tested using SmartPLS to point significantly factors in the proposed model. The results reveal that the factors in ECM and trust are most powerful in fintech service acceptance study. The interesting result came from TSE as a predicted factor for confirmation and perceived ease of use and not for perceived usefulness. The results have recommendation to developer of fintech application. They must aware to technological self-efficacy of users.
Investigating Factors Associating with Online Shoping Behavior on TikTok Live Streaming in Generation Z Salomo Chandra Gupta Winarno; Bernardinus Harnadi; Berta Bekti Retnawati
SISFORMA Vol 11, No 1: May 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i1.10844

Abstract

TikTok is an application that is currently very popular with the public. This research aims to study the behavior of users/consumers from Generation Z in using the live streaming feature on TikTok which leads to the desire and interest in making online purchases/shopping. The research was carried out using a purposive sampling method and collected data from 300 respondents from Generation Z. The research analysis was directed at the correlation between factors and the technology acceptance factors studied to gain insight regarding the activity of using live streaming technology on TikTok for online shopping activities. The expected output from this research is factors that influence the acceptance of live streaming technology on TikTok for online shopping activities among Generation Z and the correlation between these factors and acceptance factors. The output of this research will help uncover the factors causing the increase in the use of the live streaming feature on TikTok in attracting online shopping interest from Generation Z. The elements found can be helpful for business people, online shopping consumers, and parties interested in increasing shopping interest online which is caused by the availability of technological features added to social media applications.