Why use internet banking? An irrational imitation model

Weihua Shi and Kenneth Zantow

International Journal of Banking, Accounting and Finance, 2010, vol. 2, issue 2, 156-175

Abstract: Technology adoptions are not always rational. Adoption herding, the adoption that occurs because many others have made the adoption, often occurs due to various reasons (Li, 2004). Traditional rational choice theories cannot accommodate herding and other irrational behaviours associated with technology adoption. Based on imitation theory, this study proposes a model to examine irrational imitation factors underlying the adoption of internet banking (IB). Three imitation factors (frequency-based, outcome-based and trait-based) are incorporated into the model which is tested using survey data from 173 IB users. The results reveal that outcome-based and frequency-based imitations are significant determinants of IB adoption. This study pioneers an analysis of irrational imitations for technology acceptance, in particular the IB adoption, and provides valuable insights for bank managers. The findings suggest that IB adoption is subject to frequency-based and outcome-based imitation.

Keywords: internet banking; technology adoption; irrational imitation models; modelling; bandwagon; herding; online banking; e-banking; electronic banking; technology acceptance. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=32851 (text/html)
Access to full text is restricted to subscribers.

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:ids:injbaf:v:2:y:2010:i:2:p:156-175

Access Statistics for this article

More articles in International Journal of Banking, Accounting and Finance from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().