旅游
适度
目的地图像
背景(考古学)
结构方程建模
服务质量
心理学
营销
独创性
质量(理念)
价值(数学)
服务(商务)
广告
实证研究
业务
社会心理学
目的地
地理
计算机科学
数学
哲学
机器学习
考古
认识论
统计
创造力
作者
Tat‐Huei Cham,Jun‐Hwa Cheah,Hiram Ting,Mumtaz Ali Memon
标识
DOI:10.1108/ijsms-02-2021-0040
摘要
Purpose Despite being a popular topic in sports tourism research, limited studies have focused on golf tourism in relation to destination image. The present study aimed to examine the impact of country-related factors on the destination image among golf tourists as well as the interrelationships between perceived service quality, perceived value, satisfaction and behavioural intention in this context in the Malaysian context. Excitement was also examined as a moderator of the relationship between satisfaction and behavioural intention. Design/methodology/approach Data was collected from 360 golf tourists using a self-administered questionnaire at the two largest airports (KLIA and KLIA2) in Malaysia. Data analysis was performed using the partial least squares structural equation modelling (PLS-SEM) technique. Findings The findings present the significance of country-related factors (i.e. accessibility, safety and security and golf course setting) in determining the image of Malaysia as a golf tourism destination. Destination image, in turn, is found to influence golf tourists' perceived service quality, perceived value and satisfaction; with both perceived service quality and perceived value acting as mediators between destination image and satisfaction. Moreover, the moderation assessment confirms that the level of excitement about golfing in Malaysia strengthens the relationship between their satisfaction and behavioural intention. Originality/value This study is one of the few that focuses on the consequential importance of destination image within the golf tourism setting. It highlights the mediating role of perceived service quality and perceived value as well as the moderating role of excitement in understanding the effect of destination image on satisfaction and behavioural intention of golf tourists.
科研通智能强力驱动
Strongly Powered by AbleSci AI