This study purposed to examine how the window display of flower shops affects consumers' buying desire, and for this purpose, we surveyed flower buying customers' interest in window display according to their gender, age, and occupation. The survey was conducted using a questionnaire with flower shop customers in Seoul, Daegu, and Gyeongju. Interest in window display was over 1.5 times higher in women than in men. Among criteria for choosing a flower shop, window display was more important than other factors. With regard to experience of being stopped by unique window display, many of the respondents replied that they had such an experience, and the frequency was higher among women than among men. Among different types of window display, theme-type window display was most effective in stimulating customers' curiosity and buying desire. According to occupation, housewives showed particularly high interest in window display. The results of this study show that the window display of flower shops has a significant effect on consumers' buying desire.

본 연구는 여대생을 대상으로 라이프스타일에 따른 화장품충동구매와 성격특성 및 자아이미지에 대하여 살펴보았다. 라이프스타일에 따른 화장품충동구매와 성격특성 및 자아이미지를 비교분석한 결과는 다음과 같다. 여대생의 라이프스타일은 지적자아충실형, 활동적사회참여형, 서구적가치추구형, 생활장식선호형, 견실적가치추구형, 소극적타인지향형, 전통적 생활 추구형으로 도출되었고, 이 중 지적자아충실형, 활동적사회참여형, 서구적 가치추구형은 중요한 차원으로 나타났다. 이러한 라이프스타일의 요인을 유형화한 결과 견실적 서구 지향형,보수적 지식 추구형, 활동적 장식 선호형, 전통적 생활 추구형으로 분류되었다. 견실적 서구 지향형과 활동적 장식 선호형은 보수적 지식 추구형과 전통적 생활 추구형 보다 충동구매성향이 강한 것으로 드러났다. 성격특성과 자아이미지는 집단 간에 의미있는 차이를 나타내었다. 따라서 이들 집단들의 심리적 특성은 충동구매에 영향을 미치고 있음을 알 수 있다.

The main purpose of this study is to identify the factors that affect purchase intention in B2C cooperative buying. The purchase intention is described in terms of participation frequency and total sum of purchasing on cooperative buying. It is very interesting that the influencing factors are not identical when two dependent variables. participation frequency and total sum of purchasing, are used. Residential area, sex, and product variability were selected as key influencing factors for the former case. On the other hand, residential area, price, and product quality were selected as key influencing factors for the latter case. Finally, it is worth while to stress that online community, one of the factors considered, will be a key factor as market of cooperative buying is getting bigger.