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Title: Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model
Authors: Manosuthi, N 
Lee, JS 
Han, H
Issue Date: 2020
Source: Journal of travel & tourism marketing, 2020, v. 37, no. 4, p. 510-532
Abstract: Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power.
Keywords: Bayes factor (BF)
Latent growth curve modeling (LGCM)
Meta-analysis structural equation modeling (MASEM)
Norm activation model (NAM)
Temporal effects
Theory of planned behavior (TPB)
Volunteer tourism
Publisher: Routledge, Taylor & Francis Group
Journal: Journal of travel & tourism marketing 
ISSN: 1054-8408
EISSN: 1540-7306
DOI: 10.1080/10548408.2020.1784364
Rights: © 2020 Informa UK Limited, trading as Taylor & Francis Group
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Travel & Tourism Marketing on 23 Jul 2020 (Published online), available online: http://www.tandfonline.com/10.1080/10548408.2020.1784364.
Appears in Collections:Journal/Magazine Article

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