Health and medical tourism is considered one of the fastest growing segments of the tourism industry. Recently, research on health resorts has been gaining academic attention in tandem with the positive contribution of the health and medical segments to the tourism industry. The purpose of this study is to better conceptualize how the behavioral intentions of health tourists are shaped in the emerging context of the health resort. This study illuminates the likely perceptions of prospective tourists about the attractions of health resorts, and endeavors to examine the response of health tourists using data from 359 international health tourists/travelers, comprising of Thai, Indian, and Chinese nationalities. The study also uses the partial least square structural equation modeling (PLS-SEM) technique in order to analyze the responses of international tourists gathered at two international airports in China. The present study shows that tourists' expectations and their behavioral intentions are generally associated indicators of perceived health resort attractions. Expectations play a significant mediating role, while culture impacts the overall phenomenon of proposed associations in a moderating way. Moreover, sustainable tourism attractions also play a significant role in shaping Thai travelers' behavioral responses, while medical facilities and risk levels are considered significant in determining Indian and Chinese travelers' behaviors. By developing theoretical and empirical grounds, this study offers implications for further research and development in health resorts and other niches of health tourism.
This study presents the interacting phenomena of perceptions of tourist destination online content (TDOC) and tourists' behavioral intentions with a mediating role of tourists' satisfaction, which is as yet under-explored in hospitality and tourism research. A model based on three main constructs, namely TDOC (with sub-constructs of online information quality and user-friendly accessibility), satisfaction, and tourists' behavioral intentions [with sub-constructs of intentions to visit a tourist destination and electronic word-of-mouth (eWOM)], is presented to determine the growth of tourism business with the internet. Data were collected via a questionnaire-based survey from 413 tourists staying at hotels in Lahore city in Pakistan. Partial least square structural equation modeling was used to statistically analyze the gathered data. The findings indicate that tourists' perceptions of TDOC directly influence their behavioral intentions, while tourists' satisfaction exerts a mediating influence between tourists' perceptions of TDOC and their behavioral intentions. Taking advantage of an economical and widespread online environment, destination marketing organizations could attract more tourists by fostering confidence in TDOC and positive eWOM to remain competitive in the long run. Important theoretical and practical implications are discussed.
A wide difference of opinion exists about the content and composition of emotions. Advertising may influence an audience and their buying decisions about products and services. The objective of this study is to better conceptualize how women emotionally respond to emotional advertisements (EAs). The variant views are integrated into an ACE model, composed of subordinate levels of emotions (E), celebrity endorsements (C), and appeal drivers (A). This empirical study examines women's emotional response using data from 240 Chinese women respondents. The study participants were invited to develop ACE mix based advertisements and fill out questionnaires. PLS-SEM analysis, a novel approach in ACE advertisement development and its applicability to consumer behavior, was used. The results show that showbiz celebrities expressing the emotion of happiness with music and color make the most effective ACE mix to influence the consumption behavior of women. The results are significantly mediated by attention levels and are widely applicable in the burgeoning advertising industry. The study also calls for further research with different ACE mixes in different contexts and on different audiences. It also opens doors for policy making and an appropriate understanding of women's consumption behavior in the Chinese context.
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