Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/90425
| 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| a0951-n03_2195_Volunteer Tourists.pdf | Pre-Published version | 1.24 MB | Adobe PDF | View/Open |
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