The purpose of this study is to provide basic data to assist students and industrial designers in fashion by examining the trend of designing women’s wear with the SCAMPER method. In the research, the seven types of SCAMPER methods for fashion design were classified based on the previous studies. From 2010 S/S to 2020 S/S, data from 5,149 photographs were collected through overlapping checks and classified by SCAMPER method type. Data analysis was performed using SPSS 25.0 for frequency analysis. As a result, in the SCAMPER “combine” method, more than two items were combined, or structural details were combined with items. In the most applied “adapt” method was involved imitating similar images, or natural forms, or other objects. The “modify” method was applied by changing the shape of some details in basic fashion items. The “magnify” method was applied by enlarging, elongating, or elevating some details of fashion items. The “minify” method was applied by minimizing, shortening, or lowering some details of basic fashion. The method of “put to other use” was expressed throughout the clothing by using non-fabric or trimmings such as metal, beads, and strings. The “rearrange” method was applied by repositioning the top and bottom, front and back, or outside and inside in fashion items and in details. The “reverse” method was applied by reversing the style of fashion, mix-and-match fabric, or switching the gender of the fashion items.

This paper aims to identify the impact on self-satisfaction of shopping tendencies and purchase behaviors for luxury goods. The research was conducted by survey method using questionnaires. The subjects of this study were female consumers from 20 to years old with a high pusrchasing capability for luxury goods. Using the statistics program SPSS 21.0, factor analysis, reliability analysis, one-way ANOVA, and multiple-regression analysis were executed. The analysis results are summarized below. For shopping tendency depending on ages, pleasure pursuit tendency showed insignificant difference in 40~50s, but significant difference in 20~30s. For the self-satisfaction, the interpersonal satisfaction showed the difference by age group, which was much higher in the respondents in 30~50s than those in 20s. Individuality pursuit tendency and rational shopping tendency had impact on self-satisfaction and rational shopping tendency on interpersonal satisfaction in 20s. Pleasure pursuit tendency and rational shopping tendency had impact on self-satisfaction and interpersonal satisfaction and pleasure pursuit tendency on the economic satisfaction in 30s. Pleasure pursuit tendency had impact on self-satisfaction and economic satisfaction and rational satisfaction on interpersonal satisfaction in 40s. Pleasure pursuit tendency and rational shopping tendency had impact on self-satisfaction and interpersonal satisfaction in 50s. High quality had impact on self-satisfaction and economic satisfaction and practicality on interpersonal satisfaction in 20s. High quality had impact on self-satisfaction and interpersonal satisfaction in 30s. High quality had impact on interpersonal satisfaction in 40s. High quality had impact on all elements of self-satisfaction for the respondents in 50s, practicality had negative impact on interpersonal satisfaction.