Linking self-congruity, perceived quality and satisfaction to brand loyalty in a tourism destination: the moderating role of visit frequency

结构方程建模 旅游 心理学 忠诚 独创性 背景(考古学) 概念模型 情感(语言学) 质量(理念) 认知 社会心理学 目的地 概念框架 营销 业务 社会学 计算机科学 创造力 沟通 政治学 社会科学 法学 神经科学 古生物学 哲学 机器学习 认识论 生物 数据库
作者
Phuong Thi Kim Tran,Phong D. Nguyen,Angelina Hanh Nhat Le,Tran Trung Vinh
出处
期刊:Tourism Review [Emerald (MCB UP)]
卷期号:77 (1): 287-301 被引量:75
标识
DOI:10.1108/tr-04-2020-0143
摘要

Purpose This study aims to examine the direct and indirect relationship between self-congruity and destination brand loyalty (DBL) based on the conceptual linkages of cognition, affect and conation. A multiple-step, multiple mediator model is investigated to explain the indirect effect of self-congruity on DBL through perceived destination quality (PDQ) and tourist satisfaction (TS). The moderating impact of visit frequency in these relationships is also proposed and empirically evaluated. Design/methodology/approach The conceptual model and research hypotheses were assessed by applying covariance-based structural equation modeling (SEM), mediating and multi-group analysis. An online survey was used to collect data from 347 domestic tourists visiting a destination in Vietnam. Findings The results support the link from self-congruity to PDQ, TS and then to DBL. Visit frequency was found to moderate the links between the research concepts. Research limitations/implications Future research would benefit from considering other self-congruity components (e.g. social self-congruity and ideal social self-congruity) and moderating variables (e.g. cultural distance). This would provide insights into the relationships between self-congruity and tourist behaviors and could be based on comparisons in different destinations to achieve more wide-ranging results. Originality/value The effect of self-congruity on DBL that evolves from linking self-congruity to PDQ and TS to increase DBL was examined within a tourism destination context. This study is valuable to destination managers as it provides suggestions to improve DBL.
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