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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers in Human B...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers in Human Behavior
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2017
Data sources: DBLP
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An integral model of e-loyalty from the consumer's perspective

Authors: M. Jesús López-Miguens; Encarnación González-Rufino;

An integral model of e-loyalty from the consumer's perspective

Abstract

The purpose of this study is to develop a model which explains how the loyalty of individual users of online banking is formed. In order to do this, first, the variables that contribute to the e-loyalty have been identified and subsequently have been validated, considering their reflective or formative character. The literature review leads us to consider the customers e-satisfaction and e-trust, the switching barriers and the perceived quality of the website as main antecedents of the e-loyalty. Then, a model has been estimated using structural equation modeling (SEM). Results show that e-satisfaction, e-trust and switching barriers have a direct effect on e-loyalty. Also, e-trust creates e-loyalty with e-satisfaction as a mediator; and quality of the website creates e-loyalty mediated by e-satisfaction and/or e-trust. The developed model helps improve the understanding of the creation of loyalty from an individual in a virtual context. Development of a model that explains the loyalty of online banking individuals.The developed model considers cognitive, affective and behavioral elements.This model explains 86.6% of the e-loyalty, well above previous research.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
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