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Understanding Tourists’ Behavioral Intention and Destination Support in Post-pandemic Recovery: The Case of the Vietnamese Domestic Market
Many countries have recently strived to accelerate the tourism recovery process by restarting their tourism industry despite the unprecedented risks of the COVID-19 crisis. Noticeably, several tourism destinations have experienced an impressive revitalization of both domestic and international tourist arrivals right after lifting all social distance restrictions. However, little is known about how a tourist destination may revive from the pandemic and to what extent tourists are willing to support a destination recovery. This study, therefore, aims to examine factors influencing the travel demand of domestic tourism and tourists’ willingness to support a destination recovery in new normal conditions. The Partial Least Square-Structural Equation Modeling was employed to predict the structural model derived from a sample size of 695 valid questionnaires. The results indicate that there is a significant improvement in domestic tourists’ travel intention and their willingness to support the post-pandemic destination revival. It is interesting to learn that the destination health risk image is no longer a critical determinant to tourists’ travel plans, while other factors including attitude, monetary promotion, and social media significantly influence their travel intention and support of tourism destination re-opening in new normal conditions. Theoretically, this study generates important contributions to post-disaster crisis management and predicting tourists’ behavioral intentions that may influence tourism destination recovery prospects. Practically, the study also provides several important implications to rebuild the domestic tourism industry in a more resilient way against future pandemic challenges.
Understanding Tourists’ Behavioral Intention and Destination Support in Post-pandemic Recovery: The Case of the Vietnamese Domestic Market
Many countries have recently strived to accelerate the tourism recovery process by restarting their tourism industry despite the unprecedented risks of the COVID-19 crisis. Noticeably, several tourism destinations have experienced an impressive revitalization of both domestic and international tourist arrivals right after lifting all social distance restrictions. However, little is known about how a tourist destination may revive from the pandemic and to what extent tourists are willing to support a destination recovery. This study, therefore, aims to examine factors influencing the travel demand of domestic tourism and tourists’ willingness to support a destination recovery in new normal conditions. The Partial Least Square-Structural Equation Modeling was employed to predict the structural model derived from a sample size of 695 valid questionnaires. The results indicate that there is a significant improvement in domestic tourists’ travel intention and their willingness to support the post-pandemic destination revival. It is interesting to learn that the destination health risk image is no longer a critical determinant to tourists’ travel plans, while other factors including attitude, monetary promotion, and social media significantly influence their travel intention and support of tourism destination re-opening in new normal conditions. Theoretically, this study generates important contributions to post-disaster crisis management and predicting tourists’ behavioral intentions that may influence tourism destination recovery prospects. Practically, the study also provides several important implications to rebuild the domestic tourism industry in a more resilient way against future pandemic challenges.
Understanding Tourists’ Behavioral Intention and Destination Support in Post-pandemic Recovery: The Case of the Vietnamese Domestic Market
Long Hai Duong (Autor:in) / Quyet Dinh Phan (Autor:in) / Tung Thanh Nguyen (Autor:in) / Da Van Huynh (Autor:in) / Thong Tri Truong (Autor:in) / Khanh Quoc Duong (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
DOAJ | 2020
|DOAJ | 2020
|Microeconometric models of tourists' destination choice
Online Contents | 1997
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