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Platform Home Sharing on Jeju Island

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Abstract
The sharing economy has been heralded as a social movement that is transforming consumer behavior norms. The purpose of this study was to empirically define the presence of platform home sharing on Jeju Island and to analyze this new market within the theory of revealed preferences to see if platform home sharing is driven by economic or social-experiential considerations. Are platform home sharing guests on Jeju Island exhibiting social or utilitarian consumer behavior through their purchase decisions? Web scraping and data mining techniques were employed to obtain a reliable data set, and multivariate regression analysis was employed to estimate the most important determinants in platform home sharing businesses in the local context. In order to further explore the relationships between property listing characteristics and the number of reviews as the dependent variable, classification and regression trees were employed to account for the nonlinearity of the data. The results show that platform home sharing on Jeju Island is widespread across the entire island with heavier concentrations on the northeast side and a thinner distribution on the south west side. Consequently, latitudinal coordinates were more effective determinants of demand than longitudinal. Among the 31 listing property types. "houses" which are priced below 140,000 KRW per night are more likely to be rented than any other type. Furthermore, the host speaking additional languages to Korean is perceived as an asset in terms of the number of reviews. English and Russian are better determinants of demand than other foreign languages. The platform home sharing guests are most strongly motivated by low cost and entire properties, rather than shared spaces. Shared rooms were revealed as least preferred among the guests with less than 10% of the total listings. Entire homes, however, occupied more than 50% of the entire population in terms of listings and 60% of the number of reviews. This shows that the new market of platform home sharing on Jeju Island is driven by traditional economic forces of maximizing satisfaction and minimizing cost, and not the alternative social and or experiential collaborative consumption motivations commonly associated with the Sharing Economy. Further inferential analyses on hosts who list multiple properties as well as sensitivity analyses on the efficacy of satisfaction as a determinant of demand were performed. The analysis yielded that hosts who list multiple properties did not directly receive a higher average number of reviews, however, they did receive a lower overall level of satisfaction. As the presence of platform home sharing on Jeju island continues to grow, policy makers and hoteliers would benefit from understanding a new potential source of competition in the market for tourism accommodation. Several implications are discussed in terms of the analyses as well as limitations and directions for future research on platform home sharing.
Author(s)
바르제이콥
Issued Date
2018
Awarded Date
2018. 2
Type
Dissertation
URI
http://dcoll.jejunu.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000008328
Alternative Author(s)
Barr, Jacob Charles
Affiliation
제주대학교 일반대학원
Department
대학원 관광경영학과
Advisor
최병길
Table Of Contents
I. INTRODUCTION 1
1. Background 1
2. Research Purpose and Methods 6
3. Research Constructs 8
II. LITERATURE REVIEW 9
1. Platform Business Model 9
1) Four main categories of innovation 10
2) Disruptive Innovation's Essential Elements 13
3) Issues with Disruptive Innovation 14
4) Platforms 16
5) Traditional and Platform Accommodation 18
6) Three Pillars of Platforms 20
7) Platform Disruption 21
8) Moving Towards Open Innovation 25
2. Smart Tourism 27
1) Smart Tourism on Jeju 28
2) Phenomenon-based Research 30
3) User-Generated Content 33
4) Transitions of the Web 33
(1) Web 2.0 33
(2) Towards a Cooperative Web 34
(3) Web 3.0 36
3. The Sharing Economy 37
1) Motivational Factors in the Sharing Economy 37
2) Theories of Consumer Behavior and Revealed Preferences 44
3) Decision Trees used in Predictive Statistical Modeling 52
4) Airbnb on Jeju 53
5) Literature End Note 54
III. METHODOLOGY 55
1. Research Analysis 55
2. Hypothesis 56
1) Research Model 56
3. Data 57
1) Description of Data 58
4. Data Collection 64
1) Geographic Parameters 65
2) Scraping 66
(1) Configuring the Scraper 67
(2) Implementing the Scraper 69
(3) Adding a Survey and collecting information 70
(4) Exporting Room Information 73
5. Methods of Analysis 73
IV. ANALYSIS OF DATA 75
1. Descriptive Analysis 75
1) Hypothesis Test 83
2. Inferential Analysis 93
1) Stepwise Regression 93
2) CHIAD Regression Trees 102
3) Summary of Results 110
V. CONCLUSION 112
1. Conclusion 112
1) Findings 112
2) Discussion 113
(1) Satisfaction and Accommodation 114
(2) Multi-Listers 115
2. Implications 116
3. Limitations and Future Research 119
REFERENCES 122
APPENDIX A 134
APPENDIX B 143
APPENDIX C 146
APPENDIX D 149
APPENDIX E 164
APPENDIX F 184
APPENDIX G 191
Degree
Doctor
Publisher
제주대학교 일반대학원
Citation
바르제이콥. (2018). Platform Home Sharing on Jeju Island
Appears in Collections:
General Graduate School > Tourism Management
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