DETERMINANTS OF INTENTION TO USE ISLAMIC MOBILE BANKING: EVIDENCE FROM MILLENNIAL GENERATION
Muamar Nur Kholid
Jurnal Ekonomi dan Keuangan Islam, 2019, vol. 5, issue 2, 53-62
Abstract:
This research aims to identify factors affecting the intention of millennial customers to use the Islamic Mobile Banking (IMB). This research applies the Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables namely perceived risk and perceived financial cost. The data of the research are from 142 respondents of the millennial generation. The research uses SmartPLS 2.0. The results reveal that the perceived risk and perceived financial cost significantly and negatively affect the intention to use the IMB. Meanwhile, the performance expectancy and effort expectancy significantly and positively affect the intention to use the IMB. The other two variables namely social influence and facilitating condition do not show any significant effect on the intention to use the IMB. Furthermore, this research discusses the impact of the results of the research, both in the theoretical and practical contexts.
Keywords: UTAUT; Perceived Risk; Perceived Financial Cost; Islamic Mobile Banking (search for similar items in EconPapers)
JEL-codes: C10 G21 Z12 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://journal.uii.ac.id/JEKI/article/download/12510/9319 (application/pdf)
https://journal.uii.ac.id/JEKI/article/view/12510/9319 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:uii:jekife:v:5:y:2019:i:2:p:53-62
DOI: 10.20885/jeki.vol5.iss2.art2
Access Statistics for this article
More articles in Jurnal Ekonomi dan Keuangan Islam from Universitas Islam Indonesia, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Ana Yuliani ().