旅游
雪球取样
社会心理学
政府(语言学)
身份(音乐)
大陆
心理学
社会认同理论
独创性
情感(语言学)
社会团体
政治学
地理
医学
沟通
语言学
哲学
物理
考古
病理
创造力
声学
法学
作者
Ben Haobin Ye,Hanqin Qiu Zhang,Huawen Shen,Carey Goh
出处
期刊:International Journal of Contemporary Hospitality Management
[Emerald (MCB UP)]
日期:2014-08-05
卷期号:26 (6): 907-929
被引量:46
标识
DOI:10.1108/ijchm-01-2013-0041
摘要
Purpose – The aim of this study is to examine the roles of social identity and perceived cultural distance in forming the attitude of Hong Kong residents toward the relaxation of the individual visit scheme (IVS). Design/methodology/approach – Face-to-face interviews with local Hong Kong residents were conducted. A total of 24 respondents’ interviews were qualified for qualitative analysis using the snowball sampling technique. Findings – The perceived positive and negative impacts, social identity and perceived cultural distance of Hong Kong residents were important in explaining their attitude toward tourism development. Perceived cultural distance influenced both the perceived negative impacts and social identity of residents, which, in turn, affected their attitude toward mainland Chinese tourists and tourism development. Research limitations/implications – The sample size for the interviews was relatively small; however, it was acceptable for qualitative studies. Practical implications – First, the Hong Kong Government should enhance civic education among mainland Chinese tourists to reduce their cultural conflicts with Hong Kong residents. Second, the Hong Kong Government should enhance national education among Hong Kong residents to mitigate the negative influence of the relaxation of the IVS. Originality/value – This study sheds light on the roles of perceived cultural distance and social identity in the attitude of residents toward tourism development, thus narrowing research gaps. Moreover, the current study applies an intercultural-interaction perspective, social identity theory, common in-group identity theory and social distance theory to understand resident attitude toward tourism development.
科研通智能强力驱动
Strongly Powered by AbleSci AI