This study aimed to categorize consumers using super app functional characteristics to identify demographic differences, and analyze shopping orientations by consumer type. This data can be used by fashion and beauty companies for product planning and marketing strategies. To categorize super app consumers, data were analyzed with SPSS v.26.0 software using frequency, factor, reliability K-mean cluster, and distributed analyses, one-way-ANOVAs, and Scheffe verification. Cross-analysis was conducted to correlate super app consumer types with demographic characteristics. One-way-ANOVAs and Scheffe verification were used to analyze the differences in shopping preferences between super app consumer groups. As a result of our analyses, super app consumers were classified into four types: the ration type, the low-use type, the multifunction type, and the habit type. There were statistically significant differences between these types in age, occupation, marital status, average monthly household income, and shopping impact factors. Five super app user shopping orientations were identified: brand pursuit, pleasure pursuit, trend pursuit, risk perception, and economic orientation. The differences in the preferred orientation between super app consumer types were found to be statistically significant. The majority of respondents were multifunction type consumers. This group used the super app most frequently and effectively. They also demonstrated the highest scores for all five of the shopping orientations. The classification of consumer types in this study will allow the fashion and beauty industries to utilize super apps for more targeted product design and marketing.

This study reveals the components of college women’s shopping orientations and compares the attributes of shoes accordingly. This study attempts to investigate the needs of consumers in the target market of young women by comparing the importance of shoe attributes with their shopping orientations and to provide basic data for efficient marketing strategies which could increase sales. Data was collected using a questionnaire survey. Of a total of 330 questionnaires, 319 were used for statistical analysis. The survey was carried out from July to August 2016. The 17 shopping orientation-related questions and 13 questions about shoe purchase attributes were measured using a five-point Likert Scale. SPSS 23 was used to carry out: descriptives, factor analysis, reliability analysis, cluster analysis, ANOVA, and Duncan’s test. Shopping orientations were divided between brand orientation, pleasure orientation, trend orientation and utilitarian orientation. Shoe attributes were categorized into ostentation value, product value, economic value and aesthetic value. College women were divided into the following groups: active shopping, passive shopping, rational shopping and conforming shopping. According to the comparison of the importance of shoe attributes by consumer type among college women, a significant difference by group was found in ostentation value and aesthetic value only. Furthermore, the average scores on the importance of product value and economic value were very high without significant differences between groups. The study results would be available as basic data to help improving the visual image of shoes and product quality for brands targeting young women in the fashion industry.

This study reveals the components of college women’s shopping orientations and compares the attributes of shoes accordingly. This study attempts to investigate the needs of consumers in the target market of young women by comparing the importance of shoe attributes with their shopping orientations and to provide basic data for efficient marketing strategies which could increase sales. Data was collected using a questionnaire survey. Of a total of 330 questionnaires, 319 were used for statistical analysis. The survey was carried out from July to August 2016. The 17 shopping orientation-related questions and 13 questions about shoe purchase attributes were measured using a five-point Likert Scale. SPSS 23 was used to carry out: descriptives, factor analysis, reliability analysis, cluster analysis, ANOVA, and Duncan’s test. Shopping orientations were divided between brand orientation, pleasure orientation, trend orientation and utilitarian orientation. Shoe attributes were categorized into ostentation value, product value, economic value and aesthetic value. College women were divided into the following groups: active shopping, passive shopping, rational shopping and conforming shopping. According to the comparison of the importance of shoe attributes by consumer type among college women, a significant difference by group was found in ostentation value and aesthetic value only. Furthermore, the average scores on the importance of product value and economic value were very high without significant differences between groups. The study results would be available as basic data to help improving the visual image of shoes and product quality for brands targeting young women in the fashion industry.