Banphot Vatanasombut
Information systems continuance intention of web-based applications customers : the case of online banking
Vatanasombut, Banphot; Igbaria, Magid; Stylianou, Antonis C.; Rodgers, Waymond
Authors
Magid Igbaria
Antonis C. Stylianou
Waymond Rodgers
Abstract
The proliferation of the Internet has not only allowed businesses to offer their products and services through web-based applications, but it has also undermined their ability to retain their customers. It has reduced search costs, opened up barriers to entry, and diminished distinctiveness of firms. Effective retention of customers allows firms to grow in size and popularity, thereby increasing their profitability. We extended Commitment–Trust theory, an expectation–confirmation model, and technology acceptance theory to develop a model of IS continuance intention of customers of web-based applications. Relationship commitment and trust were found to be central to IS continuance intention. Also, perceived empowerment influenced relationship commitment, while perceived security influenced trust. Our findings thus supported traditional intention factors, highlighting the role of trust as a stronger predictor of intention than commitment but, contradicting findings from marketing research, trust was found to be a stronger predictor of retention in the e-commerce context.
Citation
Vatanasombut, B., Igbaria, M., Stylianou, A. C., & Rodgers, W. (2008). Information systems continuance intention of web-based applications customers : the case of online banking. Information and Management, 45(7), 419-428. https://doi.org/10.1016/j.im.2008.03.005
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 6, 2008 |
Online Publication Date | Aug 15, 2008 |
Publication Date | 2008-11 |
Deposit Date | Nov 13, 2014 |
Journal | Information & Management |
Print ISSN | 0378-7206 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 45 |
Issue | 7 |
Pages | 419-428 |
DOI | https://doi.org/10.1016/j.im.2008.03.005 |
Keywords | Retention; Web-based application; Commitment; Trust; End-user relationship; Relationship marketing; Commitment–Trust theory |
Public URL | https://hull-repository.worktribe.com/output/473207 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0378720608000827 |
Contract Date | Nov 13, 2014 |
You might also like
Protocol analysis data collection technique implemented for artificial intelligence design
(2023)
Journal Article
Modelling credit and investment decisions based on AI algorithmic behavioral pathways
(2023)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search