, -,,,.,,,. 6.. (LIRUIYAO),, E-mail : ruiyao24@hotmail.com :,, 26 E-mail : taehee@khu.ac.kr
2014 1400 180 6.. 2014 6,126,865 43% (, 2015).,.....,..,.,,,,,,. 1963 (AMA) Lazer(1963)..,. 1977, 1990. (1992)
, (1993),,,,. & & (2008) () (), (). (2010),,,,,,,,., AIO (Activity), (Interests), (Opinion), (Pattern). AIO(Activities, Interests and Opinions) RVS(Rokeach Value Survey), VALS(Values and Lifestyles) LOV(List of Value) (, 1992). (tourism satisfaction)..,.. (, 2009). Noe(1987),,,,,,. Westbrook & Oliver, Van Raail & Francken(1986) (),,.,,,, (Noe, 1987).. 4. 5.
,,,. & (2004).,,... (2008),,. (2006),.,,. 3. 5. 1954 Fortune Whyte,. (, 2010).. (, 2008)..,.,., (, 2013).. 3 (, 2013). (2012)
. 3. 5.,. (N=308) % 67 21.8 241 78.2 20 9 2.9 20 193 62.7 30 57 18.5 40 29 9.4 50 20 6.5 193 62.7 29 9.4 84 27.3 2.6 6 1.9 Qunar, Ctrip, Mafengwo Qiongyou. 2015 4. 2015 4 15 4 30 16. 350, 308.. 1. 2.6 16 5.2 38 12.3 153 49.7 92 29.9 1.3 21 6.8 / 114 37.0 / / 39 12.7 6 1.9 89 28.9 6 1.9 3 1.0 30 9.7 1000 7 2.3 1000-3000 40 13.0 3000-5000 92 29.9 5000-7000 64 20.8 7000 105 34.1
.,,,, 5 32,, 4, 3 3.,,,,, 6. SPSS 21.0.,.,., K-,,, (One-way ANOVA).,. 32.400. 5, 5 61.871%, KMO.893 27 5. 2. 1.0 1 3. 82.516%, KMO.812Bartlett Chi-Square=978.397, p<.001. 3.301, Cronbach s Alpha.929 0.6. 1.0 1 4. 81.354%, KMO.695, Bartlett Chi-Square= 581.303, p<.001. 2.441, Cronbach s Alpha.884 0.6
( ) % 7...792.667 6...787.629 3...779.623 4...745.638 5...691.513 8.294 30.719 16.465.870 9...624.540 10...616.506 2...566.545 26...786.665 27...766.702 25...707.620 3.895 14.427 29.710.851 24...697.644 21...785.723 17...736.620 22...723.774 18...661.648 20...556.463 1.818 6.732 42.274.838 19...552.417 14...811.793 13...791.707 12...760.745 1.561 5.783 52.939.847 11...713.646 28...659.637 31...649.635 30...605.527 32...598.436 1.137 4.211 61.871.767 29...557.643 KMO=0.893, Bartlett Chi-Square=4176.654, p<.001
( ) % 1...916.840 3..914.820 2...905.835 3.301 82.516 82.516.929 4...898.806 KMO=0.812 Bartlett Chi-Square=978.397, p<.001 ( ) % 2...935.874 1...932.869 2.441 81.354 81.354.884 3...835.698 KMO=0.695 Bartlett Chi-Square=581.303, p<.001 ( ) % 2...958.917 1...952.906 2.619 87.285 87.285.927 3...892.795 KMO=0.722 Bartlett Chi-Square=800.260, p<.001
. 1.0 1 5. 87.285%, KMO.722, Bartlett Chi- Square=800.260, p<.001. 2.619, Cronbach s Alpha 0.927 0.6. 1 63, //. 2 77, /. 3 14 /, 4 76 // 1 N=63 2 N=77 3 N=14 4 N=76 5 N=69 F 2.89 2.25 2.79 3.72 2.58 M L M H L 53.131.000 4.35 4.22 1.70 4.56 3.41 H H L H M 131.749.000 3.79 3.23 2.19 4.24 3.03 H M L H M 66.410.000 3.34 4.24 1.75 4.55 3.05 M H L H M 139.397.000 3.94 3.02 2.27 4.09 3.15 H M L H M 66.468.000 / / -- / -- / -- / / -- / -- p<.001
, 5 69 /. 5 H(High)>M(Middle)>L(Low). 6.,,,,, p<.05, p<.01. 1:. 2:. 3:.,, 7 F=19.769, p<.001 N=63 N=77 N=14 N=76 N=69 F 3.7222 3.3279 2.3036 4.1414 3.25 0.86032 0.97692 1.03858 0.75646 0.84453 19.769.000 3.6984 3.3896 2.3571 4.0789 3.2029 0.94417 1.10871 0.96489 0.80161 0.95694 14.314.000 3.7354 3.2554 2.5238 4.1711 3.0821 0.84488 1.10276 1.05987 0.83709 0.96237 18.634.000 p<.001
.,,,. 1. F=14.314, p<.01.,,,. 2. F=18.634, p<.01.,,,. 3. 4:. 5:. 8. β t.123-2.769.006 R=.843 R 2 =.711.033.843 27.022.000 R 2 =.710 (4) F=730.181,p=.000.136-2.874.004 R=.811 R 2 =.657.037.811 23.876.000 R 2 =.656 (5) F=570.080,p=.000.123-4.453.000 R=.826 (6).033.826 25.260.000 R 2 =.682 R 2 =.681 F=638.073,p=.000 p<.001
t 27.022, p=.000 4.,. t 23.876, p=.000 5.,. 6:. 8. t 25.260, p=.000 6.,. F p=.000 638.073, R2==.682 68.2%.,.,.,,,. 1.,.,,,. 2.,.,,,. 3.. 4 5. 4.,.. 5.,
... 6. 6.,...,.,,,..,.., 20 30. (2010). (, ). (2008).,. (2009).,. (2012). (FIT). (2), pp.89-109. (2006).,
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cross-cultural analysis of values. Social Behavior & Personality 27, no. 5: pp. 467-473. (2004)., pp.705-714.,,, 2004 (2009).,, pp131-134 : 2015. 07. 10 1 : 2015. 08. 01 : 2015. 08. 12
Analysis on the Difference of Tourist Satisfaction and Intention of Revisiting and Recommendation to the Clusters of the FIT s Life Style - Focused on Chinese Tourists into Visiting Korea Ruiyao Li Tae Hee Lee Kyung Hee University This study looks into different life styles of Chinese FITs and how their life styles might cause differences in tourist satisfation, intention of revisiting and recommendation. Based on the analyses of the life styles of Chinese FITs who visited Korea, the final result concluded 27 questions and 5 causes. In total, 6 hypotheses were accepted through confidence analysis, correlational analysis of variables, life style cluster analysis and analysis of differences between life style clusters. So the study expects to make a positive contribution, providing useful information to create strategies to intrigue more Chinese FITs and develop better tourist product. Key words : FIT, Life Style, Tourist Satisfaction, Intention of Revisiting and Recommendation