PUKYONG

A Study of the Choice Attributes Affecting to Medical Tourism in Korea Using Big data

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Alternative Title
빅데이터를 활용한 한국의 의료관광 선택속성의 구성 분석
Abstract
Medical tourism defines as a travel with aim of improving health. Korean medical tourism which has the highest growth rate and the most number of foreigners for the last few years. This study examined the choice attributes affecting to the medical tourism in Korea, using big data. Data in this study are collected from major portal sites in Korea.
The results are summarized as follow.
In this study, the texts related to national image and medical reliability and medical service were found on the top of the ranking. The greatest influence to the choice has a national image of the country. Texts showed the political, economic, and statistical image of the country. Further, the texts related to geographical location, accommodation, tourist attraction and marketing impact showed low rank.
To be competitive in the healthcare industry, hospitals and agencies that are promoting medical tourism, need to emphasize marketing. It can be suggested that an effective marketing policy will influence future customers choice.
Author(s)
Cholpon Osmonova
Issued Date
2019
Awarded Date
2019. 2
Type
Dissertation
Keyword
Korean Medical Tourism Choice Attributes Big Data
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/23064
http://pknu.dcollection.net/common/orgView/200000183286
Affiliation
부경대학교 대학원
Department
대학원 경영학과
Advisor
설훈구
Table Of Contents
I. NTRODUCTION 1
1.1 Background 1
1.2 Study Purpose 10
II. THEORETICAL BACKGROUND 11
2.1 Medical Tourism Choice Attributes Concept 11
2.2 Medical Tourism Choice Attributes Composition 12
2.3 Big Data Appearance and Definition 20
2.4 Big Data Types and Characteristics 22
2.5 Big Data in Tourism 24
III. RESEARCH METHODOLOGY 28
3.1 Research Subject 28
3.2 Research Procedure 29
3.3 Data Collection Object and Scope Selectio 31
3.3.1 Data Collection Subject and Keyword Selection 31
3.3.2 Choice of Classification Category of Collected Data 31
3.4 Data Collection and Analysis Methods 33
3.4.1 Text Mining 33
3.4.2 Semantic Network Analysis 35
IV. RESULTS AND ANALYSIS 40
4.1 Data Collection Results 40
4.2 Research Subject 1 Analysis Result 42
4.2.1 Analysis of Actual Text Affecting Medical Tourism Choice 43
4.2.2 Analysis of Attributes Affecting Medical Tourism Choice 47
4.3 Research Subject 2 Analysis Result 50
4.3.1 Medical Tourism Choice Attribute Semantic Network Structure Analysis 51
4.3.2 Analysis of Influence Degree of Related Word of Medical Tourism Choice ttributes 55
4.3.3 Similar Cluster Analysis of Related Texts of Medical Tourism Choice Attributes 59
V. CONCLUSION AND IMPLICATIONS 63
References 66
Degree
Master
Appears in Collections:
경영대학원 > 경영학과
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