Please use this identifier to cite or link to this item: https://kkbsrs.kku.ac.th/jspui/handle/123456789/246
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dc.contributor.authorNoppadol, Manosuthi-
dc.contributor.authorJin-Soo, Lee-
dc.contributor.authorHeesup, Han-
dc.date.accessioned2021-11-10T08:07:17Z-
dc.date.available2021-11-10T08:07:17Z-
dc.date.issued2020-
dc.identifier.urihttps://kkbsrs.kku.ac.th/jspui/handle/123456789/246-
dc.description.abstractDespite 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.en_US
dc.description.urihttps://doi.org/10.1080/10548408.2020.1784364en_US
dc.language.isoenen_US
dc.publisherJournal of Travel & Tourism Marketingen_US
dc.subjectVolunteer tourismen_US
dc.subjecttheory of planned behavior (TPB)en_US
dc.subjectnorm activation model (NAM)en_US
dc.subjectmeta-analysis structural equation modeling (MASEM)en_US
dc.subjectBayes factor (BF)en_US
dc.subjectlatent growth curve modeling (LGCM)en_US
dc.subjecttemporal effectsen_US
dc.titlePredicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation modelen_US
dc.typeArticleen_US
dc.email.authornoppma@kku.ac.then_US
dc.skill.authorTourism Industry Managementen_US
Appears in Collections:Tourism



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