心理学
结构方程建模
目的地
独创性
人格
验证性因素分析
感知
社会心理学
广告
旅游
业务
创造力
数学
统计
神经科学
法学
政治学
作者
Ahmed Hamdy,Jian Zhang,Riyad Eid
出处
期刊:Marketing Intelligence & Planning
[Emerald (MCB UP)]
日期:2023-12-13
卷期号:42 (1): 120-148
被引量:4
标识
DOI:10.1108/mip-05-2023-0211
摘要
Purpose The main purposes of this article are twofold: (1) to investigate the unexplored connections among destination gender personality, destination stereotypes, brand attachment and destination brand love and (2) to examine the moderating role of destination involvement in the association between destination stereotypes and destination brand attachment (DBA). Design/methodology/approach The conceptual model is evaluated using qualitative methods (i.e. three focus groups, six academic experts and a pilot study). In addition, using an empirical study with 610 international travelers who visited Egypt selected by systematic random sampling, 8 hypotheses were analyzed and tested using structural equation modeling (SEM) by AMOS 23, confirmatory factor analyses and exploratory factor analyses. Findings The study’s results suggest that destination gender plays a vital role in enhancing stereotypes, stereotypes positively affect attachment and DBA positively affects destination brand love. Finally, the results show that destination involvement moderates the dual influence of the warmth and competence of stereotypes on destination attachment. Practical implications The research supports the contention that social perception mechanisms are crucial in destination brand perception. It offers new understandings of the association between customers' destination brand perceptions and their responses to destinations. Originality/value This paper contributes to the travel literature by analyzing a novel model of destination gender personality, stereotypes, DBA and destination brand love using both social role (SR) theory and a stereotype content model (SCM). Besides attempting this task, it explores the moderating role of destination involvement in the association between stereotypes and destination attachment using the elaboration likelihood model.
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