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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 Journal of Hospitali...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
Journal of Hospitality and Tourism Technology
Article . 2020 . Peer-reviewed
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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
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Article . 2020
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Predictors of e-trust for Web-based travel intermediaries: a survey on Istanbul visitors

Authors: Çiftçi, Şükrü Fırat; Çizel, Beykan;

Predictors of e-trust for Web-based travel intermediaries: a survey on Istanbul visitors

Abstract

PurposeThe main purpose of this study is to investigate the factors affecting e-trust perception of tourists using Web-based travel intermediaries (WBTIs). Cognitive and affective attitude components are believed to be important in assessing the e-trust perception of tourists. However, this paper aims to investigate if self-efficacy would be an important predictor for e-trust in the context of WBTIs.Design/methodology/approachThe quantitative research method is used in this study. Data were collected by the survey method from the tourists who visited Istanbul/Turkey and made their bookings via Web-based travel intermediaries. Hierarchical linear regression analysis is used to investigate to which extent age/gender/years of usage, self-efficacy, cognitive and affective components are affecting tourists’ e-trust perception.FindingsAccording to the study results, self-efficacy, the attitude components, in addition to the demographic variables, predict a significant amount of variance (45%) in e-trust for Web-based travel intermediaries. Besides attitude components, self-efficacy is put forward as significantly important in the perception of e-trust.Originality/valueThe novelty of the current study is that it uses hierarchical regression to test if self-efficacy would be an important predictor for e-trust while examining the effect of various predictive variables in sequential order. Therefore, the relative importance of this e-trust predictor can be evaluated based on how much it contributes to the prediction over and above other important antecedents of e-trust according to the literature. This study provides evidence that the social cognitive theory may be useful in understanding e-trust in online tourist behavior.

Country
Turkey
Related Organizations
Keywords

Web-based travel intermediaries, Cognitive and affective attitude, ?????, ????, Hierarchical linear regression, ???????, Self-efficacy, e-trust

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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!
3
Average
Average
Average
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