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1.
Hwasung Song 《Asia Pacific Journal of Tourism Research》2018,23(2):133-145
This study examined the travel motivation of international students in Korea using the theory of travel career pattern (TCP). In particular, latent profile analysis (LPA) was applied to identify latent classes within international students. Based on the results, four latent profiles were derived and named “Core,” “Longing,” “Middle,” and “Veteran.” The results described the travel motivation and patterns across these four profiles to enhance the understanding of international students in the context of tourism. There were significant differences in travel patterns (i.e. travel companion and information sources) among the profiles segmented by motivation. This study has expanded travel motivation research by (a) applying TCP to an understudied population (i.e. international students in a non-English-speaking country); (b) comparing travel careers between the home country, Korea (i.e. a study abroad destination), and the third countries; and (c) highlighting LPA as a clustering tool to understand travel motivation. 相似文献
2.
Dominic Skerritt 《Asia Pacific Journal of Tourism Research》2013,18(1):23-43
The expansion of international tourism in developing countries is generally considered to promote their economic development. In this paper, the impact of international tourism on economic development is modelled using an aggregate production function framework. It specifically investigates intersectoral externalities and marginal factor productivity differences between the international tourism sector and the rest of the economy. The net effect of international tourism on GDP per capita is examined via an empirical analysis of 37 developing economies. The results indicate that international tourism may positively affect economic development in these countries. 相似文献
3.
Junghyun Lee Tae-Yoon Kim Joon-Shik Shin Jinho Lee Ha-Neul Kim Yoon Jae Lee 《Asia Pacific Journal of Tourism Research》2018,23(7):703-713
This study analyzed advertisement images targeting international audiences of South Korean medical facilities (traditional Korean and conventional medicine) participating in Medical Korea 2015 using thematic content analysis. The image categories most often used in conventional medicine were medical procedures, facilities, and staff photos, while those for traditional Korean medicine were medical procedures, staff photos, and images. Conventional medicine consistently presented high SERVQUAL tangibility scores, whereas Korean medicine displayed distinct associations between SERVQUAL categories and image size. Analyses suggested specialty preference by language. These findings may be used to recognize key messages in medical tourism and contribute to its systematic promotion.
Abbreviations: KHIDI: Korea health industry development institute; SERVQUAL: service quality 相似文献
4.
ABSTRACTIn the big data era, destination images have played an increasingly important role in tourism development. However, seldom tourism research has utilised big data analytics to examine destination images from travel blogs. Therefore, this study proposes and evaluates a big data analytical approach using latent Dirichlet allocation to extract attributes of online destination images from 140,286 travel blogs about 20 cities in China. Results reveal 14 dimensions with 54 attributes of destination images of the studied cities. Interesting findings are discovered between online destination images and tourism cities. This study also summarises the implications for tourism research and practice. 相似文献