2016 International Conference on Computational Intelligence and Applications (ICCIA) 2016
DOI: 10.1109/iccia.2016.14
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Estimation of the Market Size of Medical Tourism Industry Using Grey Models -- Case Study in South Korea

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Cited by 10 publications
(3 citation statements)
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“…Furthermore, beside Thailand-Singapore, Malaysia, and South Korea are the major competitive providers for Taiwan in the recent period. The market share for plastic surgeries are expected increase for South Korea due to competitive pricing and marketing effectiveness as discussed in [43]. However, Thailand has placed as the top destination with the largest number of foreign patients in Asia-Pacific as noted above.…”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, beside Thailand-Singapore, Malaysia, and South Korea are the major competitive providers for Taiwan in the recent period. The market share for plastic surgeries are expected increase for South Korea due to competitive pricing and marketing effectiveness as discussed in [43]. However, Thailand has placed as the top destination with the largest number of foreign patients in Asia-Pacific as noted above.…”
Section: Discussionmentioning
confidence: 99%
“…With the strengths on non-functional series for model construction and simple calculation, Grey system theory has been utilized for factor analyzing, optimization theorem, forecasting or numerical analyzing in different research fields [37][38][39][40]. Grey generating, Grey relational analysis, Grey model construction, Grey forecasting, Grey decision making and Grey control are major sections of Grey system theory, which was widely used for academic studies and practical industries such as engineering [41,42], tourism [43], and service industries [44], etc.…”
Section: Literatures Review On Grey System Theorymentioning
confidence: 99%
“…Rahman and Zailani (2017) report trust as an important determinant in generating medical tourism demand. There are studies in medical tourism literature focusing on increasing demand for halal medical tourism services (Medhekar & Haq, 2015;Rahman & Zailani, 2017), and studying various host countries' demand patterns (Lin et al, 2009;Genc, 2012;Johnson & Garman, 2015;Loh, 2015;Vetitnev, Kopyirin & Kiseleva, 2016;Dang, Huang, Wang & Nguyen, 2016;Tang & Lau, 2017;Tang & Abdullah, 2018).…”
Section: Demand Managementmentioning
confidence: 99%