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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국호텔관광학회 호텔관광연구 호텔관광연구 제18권 제3호 (통권 제66권)
발행연도
2016.5
수록면
169 - 187 (19page)

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This study has conducted surveys with customers who have used tea houses that have different characteristics from other conventional and popularized coffeehouses to segment the customers into groups and to analyze group-specific characteristics. This study performed analysis from 316 surveys. The results of this study are as follows. First, 5 factors which are ‘quality’, ‘service’, ‘atmosphere’, ‘promotion’, and ‘brand’ were derived from the result of performing the factor analysis to identify the selection factors for the tea houses. Second, after performing the group analysis based on the result from the selection factors for the tea houses, the market was categorized into 2 segmented markets of ‘active lovers’, and ’simple visitors’. Thirdly, to secure the validity of the group analysis and to reveal the factors that determine the group among the selection attribute factors, this study performed differentiation analysis. As the result, we found that five factors has high contribution to the cluster analysis in the order of ‘brand’, ‘service’, ‘promotion’, ‘atmosphere’, and ‘quality’. In addition, the higher factor value means the more ‘active lovers’. Lastly, according to the result of performing the cross analysis to analyze the group-specific characteristics, it was found that males were found more than females in ‘simple visitors’ group and the males tend to have lower frequency of drinking tea than female and to visit various tea houses for just drinking tea. On the other hand, females were found more than males in ‘active lovers’ group and also, it was found that the females tend to have higher frequency of drinking tea than males and to visit tea houses for enjoying ‘atmosphere’ of the tea houses. The females mainly visit ‘Osulloc’ Tea house brand. This study is limited because it has not considered every characteristic of each tea houses. Further studies should be performed considering various variables based on life styles, satisfaction and etc.

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