Continuous Intention to Use Mobile Banking Apps: Empirical Study in Iraq

Al Laheebi Ghayth Ali Jarad ()
Additional contact information
Al Laheebi Ghayth Ali Jarad: UNIVERSITY OF MISKOLC

Theory Methodology Practice (TMP), 2022, vol. 18, issue 01, 61-74

Abstract: Mobile banking on applications is increasingly becoming an effective channel in the development of banking services. The increase in smartphone penetration globally and customers spending more time on business applications raise questions for bank managers on how to entice customers to continue using mobile banking applications. This study examines factors influencing the continuous intention to use mobile banking applications by combining, the technology acceptance model TAM model and trust factor. Research indicates that perceived usefulness and trust directly influence continuous intention to use mobile banking apps, while perceived ease-of-use and perceived risk indirectly influence continuance intention to use mobile banking apps through the trust factor. the moderating effect of demographics factors found that higher age will negatively affect the relationship between trust and continuous intention to use mobile banking apps.

Keywords: Technology acceptance model (TAM); Mobile banking; Iraq (search for similar items in EconPapers)
JEL-codes: G20 G29 O10 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://tmp.gtk.uni-miskolc.hu/volumes/2022/01/TMP_2022_01_5_k.pdf (application/pdf)

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:mic:tmpjrn:v:18:y:2022:i:01:p:61-74

Access Statistics for this article

Theory Methodology Practice (TMP) is currently edited by Zoltan Bartha

More articles in Theory Methodology Practice (TMP) from Faculty of Economics, University of Miskolc Contact information at EDIRC.
Bibliographic data for series maintained by ().