Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Modeling Perceptions About Destination Images and Intention to Re-Visit: A Mediating-Moderated Model of Tourists’ Behavior
International Journal of Hospitality & Tourism Administration Pub Date : 2023-07-13 , DOI: 10.1080/15256480.2023.2235702
Rajan Kumar Gangadhari 1 , Vodnala Shivalingam 2 , Pradeep Kumar Tarei 3 , Swathi Cherukuri 4
Affiliation  

ABSTRACT

The current study investigates the effect of the set of cognitive, affective, and conative destination images and tourist satisfaction on the intention to re-visit. The study gathered information from 384 tourists who traveled to northern India in the spring of 2021. Smart PLS was used to analyze data using a structural equation modeling (SEM) technique. The findings supported the hypothesis that cognitive destination image influenced the affective and conative destination images in a significant way. In addition, the cognitive destination image influenced the conative destination image significantly. Tourist satisfaction and a holistic image also had a significant impact on the intention to re-visit. The novelty of this study lies in the conceptual framework and in the investigation of novelty seeking and word of mouth to see if they modify the effect of tourist satisfaction and holistic image on intention to re-visit.



中文翻译:

对目的地形象和重游意愿的认知建模:游客行为的中介调节模型

摘要

目前的研究调查了认知、情感和意向目的地形象以及游客满意度对重游意愿的影响。该研究收集了 2021 年春季前往印度北部的 384 名游客的信息。Smart PLS 用于使用结构方程建模 (SEM) 技术来分析数据。研究结果支持了这样的假设:认知目的地形象对情感和意向目的地形象有显着影响。此外,认知目的地形象对意向目的地形象也有显着影响。游客满意度和整体形象也对重游意愿产生重大影响。

更新日期:2023-07-13
down
wechat
bug