• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.471-484
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• 1992

The purpose of this study was 1) to find out Market segmentation possibilities according to consumer's store selection factors by analysis of Consumer's attitude and oriteria of apparel store selection, 2) to provide marketing strategies of segment marker for apparel stores Research problems were as follows. 1) To find out the important factors of consumer's store selection and to segment markets according to their factors. 2) To find out consumer characteristics (demographic variables, clothing life factors, cloth-ing purchase behaviors) according to segment markets. 3) To find out preference store types and preference factors according to segment markets. 4) To provide marketing mix strategy for retail apparel store sales. The subjects selected for the final analysis were 586 female college students, housewives, and workers living in Seoul. A questionnaire was developed in order to measure consumer's selection criteria of apparel store, consumer characteristics and preferred store types and preferential factors. The results of this study were as follows: 1. There were 8 factors of consumer's store selection such that: the high quality, convenience, store atmosphere, economy, dependency commercials, store patronage, the conformity, product assortment. the result of cluster analysis based on these 8 factors of store selection verified that market was able to be segmented as four different market, which were the store loyalty group, the aligned economical group, the assortment pursuing group, the store fame dependent group. 2. There were significant differences among four groups, for 4 variables related to consumer's characteristics such as demographic characteristics (sex, age, job, level of education, the living quarters, marrige or unmarrige), clothing life factors, clothing evaluating criteria, and favorite fashion information sources. 3. There were significant differences among four groups for 2 variable related to store preference such as preference types of store and preference factors of store.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.847-858
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• 2005

The purpose of this study was to examine consumer purchasing behavior of the online shoppers particularly using online clothing shopping mall and to analyze the key factors of both satisfaction and dissatisfaction of their purchase and to compare the both group by lifestyle segmentation in order to provide the e-CRM strategies. Focus group interviews and survey were conducted in December, 2003 with 30 online shoppers who have an experience of online clothing purchasing. The data analysis included the content analysis, descriptive statistics, K-means and factor analysis. Key findings of the study were as follows: First, online shoppers spent average 3.5 hours on internet and usually purchased clothing while surfing the web. Second, consumers were satisfied with reasonable price and customized service but dissatisfied with delayed delivery, limited product availability in both size and color and return policy. Third, according to the lifestyle segmentation, online shoppers could be characterized as 'Luxurious', 'Trendy' and 'Prudent' 'Luxury-oriented consumers', who value fashion, diet and social activity, tended to purchase basic yet high quality products. However, 'Trend-oriented consumers', to whom fashion trend was most important, purchased various latest fashion products with reasonable price and showed generally positive response to emails sent by e-retailers. And lastly 'Prudence-oriented consumers', whose buying decision was based solely on practicality, appeared to be reluctant to purchase clothing online while seeking more credible information and competitive price. In conclusion, this study has its significance in that it helps promote relationships between customers and e-retailers by providing differentiated e-CRM strategies through each customer groups 'lifestyle segmentation and consumer purchasing behavior analysis.

• Journal of Broadcast Engineering
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• v.10 no.2
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• pp.156-165
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• 2005

This paper presents a new auto brighoess control algorithm fur adaptive background subtraction. The algorithm is designed to cope with the problem of auto-brightness adjustment feature of consumer-type cameras. The experimental results show the proposed method improves performance of the classification. This will be beneficial to many computer vision applications in term of reducing the cost of implementation and making them more available to the mass consumer market.

• The Research Journal of the Costume Culture
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• v.19 no.2
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• pp.360-375
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• 2011

The fashion market focuses on consumers and maximizes consumers' satisfaction. The fashion market has been segmented to better satisfy the variety of consumer group. Although market segmentation has been studied, efficiency and effectiveness of market segmentation continuously bring problems. Also, problems of prediction about real consumer behavior, and efficiency and effectiveness of standards are pointed out. The purpose of this study is to determine the most important variables for dividing fashion product buyers. This study was designed as qualitative study and in-depth interview was conducted. The in-depth interview was conducted with five experts in fashion intelligence agency. In-depth interview was completed by an analytic induction and an investigator triangulation. Questions were about characteristics, demographic characteristics, important factors and fashion buying relationship, and interests of current clothing shoppers. The results of qualitative research demonstrated that clothing shoppers, with their valuable consumption and selective buying behaviors, seek differentiated products. They also long for high quality apparel for its price, because of their valuable consumption and price centered tendency. They illustrated active sides, such as enthusiastic information searching and emotional or experiential consumption, rather than attitudinal sides. The variables for dividing fashion product buyers included: "innovative seeking", "symbolic seeking", "personalized seeking", "quality-seeking", "selective seeking", "price-seeking", "utility-seeking", "hedonic seeking", "sensitive seeking", "brand-seeking", "digital seeking", "information-seeking", and "eco-seeking".

• Korean Management Science Review
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• v.27 no.3
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• pp.117-135
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• 2010

The purpose of this study is to segment the mobile phone users based on the flow types and to understand the differences in mobile phone usage behavior between the segmented groups. The 'flow' construct, which was introduced first in marketing by Hoffman and Novak[44], has been used as an important keyword for understanding consumer behavior on the World Wide Web. In this paper, we will try to use the flow aspect for the mobile market segmentation, which is one of the most fundamental tools for developing a successful marketing strategy on the mobile phone service market. We collected survey data from consumers and analyzed the data with the SPSS 12.0 package where we did ${\chi}^2$-test, factor analysis, one-way ANOVA and cluster analysis. Main results of this study are as follow. First, the flow types of the mobile phone users were classified into five types, which are named as the 'Flow' type, 'Apathy' type, 'Anxiety' type, 'Boredom' type, 'Control' type. Second, most of the results related to the usage of mobile phone service showed statistically significant differences between flow types. These findings suggest that the mobile phone service marketers should consider the various flow types of users and work out effective market segmentation strategies based on these consumer flow types.

• Journal of Agricultural Extension & Community Development
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• v.23 no.1
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• pp.101-114
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• 2016

Local food in rural area as a rural growth tool has to adapt to current market mechanisms by communication and promotion techniques. We need to know what and how local food consumers seek their benefits to market segmentations. The primary purpose of this study was to segment and profile the benefits of local food consumer so as to provide a better understanding of local food in Korea. A self-administered survey was obtained from 448 food consumer in the study area. Three distinct segments were identified based on the benefits; profit seeker (39.7%), passive consumers (19.0%), and value seeker (42.2%), and these were profiled with respect to socio-demographics and local food attitude-related features.

• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.301-308
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• 2013

The purpose of this research is to classify fashion consumers based on their attitudes, goals and values of life. It is to understand what drives human behaviors as well as to learn the various directions people live in society using Bangkok people as the samples. Online and on-site questionnaire survey is employed. Questions are designed to focus on 7 aspects of life, ranging from private life, professional life, social life, politics, culture and information interaction, household business and finance, and consumption of products and services in the main market. The research results can be used to classify consumers' lifestyles into 20 major and numerous minor groups of lifestyle. Lifestyles of male and female samples are compared to investigate their different patterns and directions. Fashion trend diagram is used to analyze the overlapped lifestyles of mass consumers. The lifestyle segmentations would benefit to designer and fashion branding team in understanding their target group deeper inside the background of their behaviors.

• Journal of the Korean Society of Food Culture
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• v.25 no.4
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• pp.466-472
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• 2010

This study divided consumer food-related lifestyles into five types: health-oriented, convenience-oriented, safety-oriented, economics-oriented, and taste-oriented. According to this grouping, we separated the lifestyles into low-interest, safety and economics-oriented, taste-oriented, and high-interest. The results showed that the safety and economics-oriented group was the largest, whereas the taste-oriented group was the smallest. The results also showed that Korean food consumer behavior and satisfaction differed significantly among the groups, and that the high-interest food-related life group exhibited the highest satisfaction. This study is significant because it segmented the local Korean food market, applied food-related lifestyles, and examined submarket characteristics.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.3_4
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• pp.322-332
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• 2003

The purpose of this study was to segment the consumer market for women's street clothes based on benefit sought. The sample was taken from 1106 middle class women who were in their 30's-40's living in Gwangju city. Consumers were classified into three groups by honest sought. The groups were practical benefit seeking group(36.7%), multi-benefit seeking group(32.6%) and symbolic/aesthetic benefit seeking group(30.7%). ANOVA, $\chi$$^2$-test revealed differences among groups according to benefit sought, use of information sources, purchasing behavior variables and demographic variables As a result of comparison for two market segmentations, benefit segmentation was proven to be more useful than segmentations using clothes image preference. But there were differences in psychological variables and demographic variables among the same benefit segments. Therefore hybrid approach on segmentation using clothes images preferences and benefit sought is neccesary.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1189-1204
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• 2020

Population aging and longevity have compelled major worldwide consumer markets to focus on senior citizens who exhibit a desire to nurture their appearance and obtain related products such as cosmetics. This trend signals an increasing need for in-depth research on elderly consumers in the color cosmetics market. This study identified the characteristics of seniors in the pre-elderly stage ("new seniors") based on their lifestyle and market segments. It employed online surveys with participants consisting of pre-elderly Korean women born between 1955 and 1963 who reside in the greater Seoul and Gyeonggi area. The study used SPSS 23.0 for factor analysis, reliability verification, cluster analysis, ANOVA, Duncan's test, and cross-analysis. The results show that new seniors could be classified into four groups based on lifestyle: Prime Seniors, Potential Seniors, Rational Seniors, and Slump Seniors. Each group has distinct characteristics. The findings suggest that the senior market requires further segmentation and is no longer a single uniform market. This study also confirms that the lifestyles of the elderly is an instrumental variable for their segmentation.