| 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 |
| Appears in Collections: | Journal/Magazine Article |
Access
View full-text via PolyU eLinks 
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.