Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7
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pISSN : 1226-0533 / eISSN : 2713-6388
- https://journal.kci.go.kr/JTS
KJCKorea
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Analysis of Revisiting Patterns for Korea Inbound Market: A CHAID Algorithm
- Journal of Tourism Sciences
- Abbr : JTS
- 2019, 43(3), pp.143-158
- DOI : 10.17086/JTS.2019.43.3.143.158
- Publisher : The Tourism Sciences Society Of Korea
- Research Area : Social Science > Tourism
- Received : February 10, 2019
- Accepted : March 20, 2019
- Published : May 1, 2019
1(재) 한국문화관광연구원
Excellent Accredited
ABSTRACT
This study is to analyze the patterns of revisit foreign tourists in trip planning, activity and, post trip phase by using the analysis of the decision Tree technique; a CHAID algorithm. The increase in the revisit ratio of foreign tourists visiting Korea is an important market for reducing the cost of enterprises and increasing the efficiency and effectiveness of finances. According to the results of the analysis, there were 20 terminal nodes in the planning stage, 11 terminal nodes in the trip stage, and 11 terminal nodes in the post-trip stage, which were statistically significant at each of stages of revisiting foreign tourists. The major factors influencing the root node by a CHAID algorithm were the country of residence, the purpose of the visit, the decision point of the trip (one month), the number of companions, the occupation, the travel information acquisition route, the age and gender in the planning state. And there were he country of residence, occupation, and age in the trip stage. In the post-trip stage, it was influenced the revisiting behavior and recommendation to travel to Korea within 3 years depending on the country of residence and age.
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[journal]
감재원
/ 2013
/
Meta Analysis on Determinants of Tourist Destination Revisit Intention
/ 관광학연구
/ 한국관광학회
37(9)
: 111~128
[journal]
김진후
/ 2017
/
The Determinants of Foreign Tourists’ Revisit Intention to Korea
/ 관광학연구
/ 한국관광학회
41(5)
: 141~154
[journal]
류시영
/ 2009
/
The Reexamination of the Relationship between Tourist Satisfaction and Revisit Intention: The Mediating Effect of Changed Attitude
/ 관광레저연구
/ (사)한국관광레저학회
21(2)
: 89~104
[journal]
서용건
/ 2004
/
The Effect of Korean Fever in Influcing the Image of Korea as a Prime Destination, and the Tourist Decision-Making Process
/ 관광학연구
/ 한국관광학회
28(3)
: 47~64
[confproc]
윤유희
/ 2016
/ 방한 외국인의 재방문영향요인 연구: 절단된 포아송(TP)모형의 적용
/ 제80차 강원평창국제학술대회
/ 한국관광학회
: 61~68
[journal]
이돈재
/ 2017
/
A Longitudinal Study of Foreign Tourists Visiting Korea in terms of Overall Satisfaction, Intention to Revisit and Recommend, and the Degree of Image Change: A Comparison by Continent and Country in 2007, 2011 and 2015
/ 관광학연구
/ 한국관광학회
41(8)
: 237~256
[journal]
이충기
/ 2008
/
The Effect of Perceived Value for Japanese Tourists on Their Satisfaction and Revisit Intention to Korean Tourism
/ 관광레저연구
/ (사)한국관광레저학회
20(4)
: 69~85
[journal]
이화인
/ 1999
/ 외래관광객의 국내 관광행동이 재방문 의사결정에 미치는 영향
/ 관광학연구
22(3)
: 262~276
[journal]
이희정
/ 2017
/
An Analysis of the Revisit Intention and Behaviors of Foreign Package Tourists to Jeju
/ 관광학연구
/ 한국관광학회
41(2)
: 203~220
[journal]
전효재
/ 2017
/
Expanding the Model of Tourist’s e-Complaints Management(TeCM) by Tourists based on Social Networks Reviews
/ 관광학연구
/ 한국관광학회
41(1)
: 65~80
[journal]
최종후
/ 1999
/ 데이터마이닝 의사결정나무의 응용
/ 통계분석연구
4(1)
: 61~83
[report]
문화체육관광부
/ 2017
/ 2017년 외래관광객 실태조사
[report]
한국문화관광연구원
/ 2017
/ 숫자로 읽는 문화관광 : (韓)외래관광객 실태조사와(日)방일외국인 소비동향조사 주요지표 비교분석(2015년)
[journal]
Apte, C.
/ 1997
/ Data mining with decision trees and decision rules
/ Future Generation Computer Systems
13
: 197~210
[journal]
Bargeman, B.
/ 1999
/ Correlates of tourist vacation behavior : A combination of CHAID and loglinear logit analysis
/ Tourism Analysis
4(2)
: 83~94
[journal]
Berry, L.
/ 2002
/ Relationship marketing of services-perspectives from 1983 and 2000
/ Journal of Relationship Marketing
1(1)
: 59~78
[book]
Berry, M. J.
/ 2000
/ Mastering data mining: The art and science of customer relationship management
/ Wiley Computer publishing, John Wiley & Sons, Inc
: 7~8
[book]
Campon, A. M.
/ 2013
/ Quantitative Methods in Tourism Economics
/ Springer-Verlag
: 13~40
[journal]
Chen, Joseph S.
/ 2003
/ Developing a travel segmentation methodology : A criterionbased approach
/ Journal of Hospitality and Tourism Research
27(3)
: 310~327
[journal]
Chen, Joseph S.
/ 2003
/ Market segmentation by tourists sentiments
/ Annals of Tourism Research
30(1)
: 178~193
[journal]
Fuchs, M.
/ 2014
/ Big data analytics for knowledge generation in tourism destinations: A case from sweden
/ Journal of Destination Marketing and Management
3(4)
: 198~209
[journal]
Geol, A.
/ 2015
/ Customer purchasing behavior using sequential pattern mining technique
/ International Journal of Computer Applications
119(1)
: 24~31
[journal]
Gyte, Douglas M.
/ 1989
/ Patterns of destination repeat business : British tourists in mallorca, spain
/ Journal of Travel Research
28(1)
: 24~28
[journal]
Hendrik, H.
/ 2014
/ Trip guidance : A linked data based mobile tourists guide
/ Advanced Science Letters
20(1)
: 75~79
[journal]
Hsu, Cathy H. C.
/ 2007
/ Profiling asian and western family independent travelers(FITs) : An exploratory study
/ Asia Pacific Journal of Tourism Research
8(1)
: 58~71
[journal]
Jani, D.
/ 2014
/ Big five factors of personality and tourists’ internet search behavior
/ Asia Pacific Journal of Tourism Research
19(5)
: 600~615
[confproc]
Jung, Dooseon
/ 2015
/ A discovery of the positive travel experience in Pre-Trip, On-Site and Post-Trip stage, in Travel and Tourism Research Association: Advancing Tourism Research Globally
/ 2015 TTRA International Conference
[journal]
Kass, G.
/ 1980
/ An exploratory technique for investigating large quantities of categorical data
/ Applied Statistics
29(2)
: 119~129
[journal]
Kozak, M.
/ 2000
/ Comparative assessment of tourist satisfaction with destinations across two nationalities
/ Tourism Management
22(4)
: 391~401
[journal]
Kozak, M.
/ 2001
/ Repeaters’ behaviour at two distinct destinations
/ Annals of Tourism Research
28(3)
: 784~807
[journal]
Manon, van M.
/ 2003
/ Inducing heuristic principles of tourist choice of travel mode : A rule-based approach
/ Journal of Travel Research
42(1)
: 75~83
[journal]
Nawijn, J.
/ 2010
/ The holiday happiness curve : A preliminary investigation into mood during a holiday abroad
/ International Journal of Tourism Research
12
: 281~290
[journal]
Nawijn, J.
/ 2011
/ Determinants of daily happiness on vacation
/ Journal of Travel Research
50(5)
: 559~566
[journal]
Nawijn, J.
/ 2011
/ Happiness through vacationing : Just a temporary boost or longterm benefits?
/ Journal of Happiness Study
12
: 651~665
[journal]
Oliver, R.
/ 1999
/ Whence consumer loyalty?
/ Journal of Marketing
63(4)
: 33~44
[journal]
Oppermann, M.
/ 1998
/ Predicting destinations choice : A discussion of destination loyalty
/ Journal of Vacation Marketing
5(1)
: 51~65
[journal]
Oppermann, M.
/ 2000
/ Tourism destinations loyalty
/ Journal of Travel Research
39(11)
: 78~84
[journal]
Palmer, A. J.
/ 1994
/ Relationship marketing : Back to basics?
/ Journal of Marketing Management
10(7)
: 571~579
[journal]
Pritchard, M. P.
/ 2003
/ The attitudinal and behavioral consequences of destination performance
/ Tourism Analysis
8
: 61~73
[journal]
Reichheld, F. F.
/ 1990
/ Zero defections: Quality comes to services
/ Harvard Business Review
68(5)
: 105~111
[journal]
Szymanski, D. M.
/ 2001
/ Customer satisfaction : A meta-analysis of the empirical evidence
/ Journal of the Academy of Marketing Science
29(1)
: 16~35
[journal]
Um, S
/ 1997
/ Estimating annual visitation of initial visitors and re-visitors to amusement parks : An application of bass model of the diffusion process to tourism settings
/ Asia Pacific Journal of Tourism Research
2(1)
: 43~50
[journal]
Welte, John W.
/ 2004
/ Gambling participation and pathology in the united states : A sociodemographic analysis using classification trees
/ Addictive Behaviors
29(5)
: 983~989