• Journal of Distribution Research
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• v.4 no.1
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• pp.185-203
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• 1999

This paper is an exploratory study about perceived risks related to career women's fashion lifestyles in case of catalogue shopping. Three research questions are proposed: 1. The first is to examine the types of career women's fashion lifestyles. 2. The second is to find out the kinds of perceived risks when career women purchase fashion apparels through catalogues. 3. The third is to investigate the relationships between fashion lifestyles and perceived risks. The empirical results were as follows. First, career women's fashion lifestyles were distinctively divided into the fashion-oriented group, the casual preference group, and the brand-name preference group. Second, seven unique perceived risks such as socio-psychological perceived risks, product assortment perceived risks, quality/function perceived risks, customer services & conveniences perceive risks, economic perceived risks, and order waiting-time perceived risks were manifested when career women purchase fashion apparels using catalogues. Finally, significant differences in socio-psychological perceived risks, product assortment perceived risks, and quality/function perceived risks were shown among fashion lifestyle clusters. However, the others were not.

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.102-115
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• 2015

Due to the diversification of lifestyles and the rapid growth of Internet environments since the 1990s, mass customization has been recently accepted as an important trend in the area of clothing and all other areas. In response to mass customized clothing products, global clothing product brands are introducing systems for mass customization such as the application of digital fashion systems that introduced IT technologies such as CAD and 3D scanners. However, studies of planning factors for clothing products applied with digital fashion systems in the area of mass production of clothing products are insufficient. Therefore, this study was intended to analyze the lifestyles of 20-30s that are expected to have the highest demand for clothing applied with digital fashion systems and present basic planning factors according to lifestyles. Through the analysis, three groups that have one of fashion pursuing type, sensory information pursuing type, and practical function pursuing type lifestyles were derived. Based on this result, consumer demand for digital fashion systems and basic factors for product planning were analyzed to present basic planning factors for digital fashion system based customized clothing by lifestyle group. This study is meaningful in that it provided basic data for product planning through digital fashion systems by analyzing the awareness, preference, necessity, and planning factors of digital fashion systems through the analysis of lifestyle types.

• 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 Clothing and Textiles
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• v.30 no.5 s.153
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• pp.742-752
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• 2006

The purpose of this study were to classify the door to door selling consumers's according to their cosmetics lifestyles and to analyze the cosmetics a purchase behavior and satisfaction of classified groups. subject were 424 women living in chung-cheong and kyung-gi. The statistical methods to analyze the data were frequency, t-test, factor analysis. cluster analysis, and ANOVA(LSD) using SPSSWIN package. Considering that there were significant differences in the behavior of uses, purchase propensity according to cosmetics lifestyles for door to door selling, it is reasonable that the consumer market should be subdivided by their cosmetics lifestyles and the quality improvement and distinguished sales strategies should be required.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.49-62
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• 2012

The purpose of this study was to investigate the relationship between well-being lifestyles and herbal cosmetics benefits sought of female consumers. The data were collected from 301 women living in Seoul, Gyeonggi, Gwangju, Busan, and Gyeongnam province in June, 2011. Statistical methods including frequency, F-test, t-test, Duncan test, factor analysis, Cronbach's ${\alpha}$, correlation coefficient, and multiple regression were used for this study. The results of this study were as follows.: The well-being lifestyles were composed of five factors, 'health pursuit activity', 'eco-friendly product interest', 'eco-friendly dietary', 'eco-friendly clothing', and 'eco-friendly housing'. The herbal cosmetics benefits sought were composed of seven factors, 'special function pursuit', 'skin 'fitness pursuit', 'brand pursuit', 'nutritional reinforcement pursuit', 'economy pursuit', 'fragrance pursuit', and 'scarcity pursuit'. The well-being lifestyles and herbal cosmetics benefits sought according to female consumers's demographic characteristics showed a difference. Female consumers's well-being lifestyles showed that correlation with the herbal cosmetics benefits sought. Female consumers's well-being lifestyles had a influence on their herbal cosmetics benefits sought. The study results are highly expected to be used as valuable sources in marketing strategies for herbal cosmetic industries.

• Fashion & Textile Research Journal
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• v.9 no.6
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• pp.637-644
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• 2007

The purposes of this study were to classify adolescents by their lifestyles and to investigate the differences in clothing purchase behavior among lifestyle groups. The data were obtained from questionnaire completed 341 adolescents in Daegu area. The SPSS package was used for data analysis which included frequency, factor analysis, cluster analysis, ${\chi}^2$ test, ANOVA, and Scheffe test. Lifestyles of adolescents were categorized into five factors such as clothing hedonic shopping orientation, positive activity, material orientation, frugality, digital orientation. Three clusters (achievement orientation group, ordinary group, economic orientation group) were developed by five factors of lifestyles. While the achievement orientation group had the highest purchase motives and used the most information sources, the economic orientation group had the lowest purchasing motives and used the least information sources. There were significant differences in clothing purchase frequency and average clothing expenditure among three clusters.

• The Research Journal of the Costume Culture
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• v.24 no.5
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• pp.531-543
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• 2016

The purpose of this study is to classify fashion lifestyle types for color planning and to propose color planning of spring & summer by fashion lifestyle by analyzing preferred colors by fashion lifestyle type. The survey was conducted on women between the ages of 30 and 59 using a separately prepared questionnaire and color sample table and also through one-on-one interviews. The results of this study are as follows. First, the participants' fashion lifestyles were divided into three categories: information individuality type, display type, and practicality type. Second, regarding basic colors: the basic color consistently used for a long time, it was found that there were significant differences in preferred hue and tone according to the types of fashion lifestyles. Specifically, the most preferred hue of all the fashion lifestyle types was achromatic color N and the most preferred tone was V. Third, regarding color trends: the trendy color occupying a market transiently, there were significant differences in preferred hue and preferred tone according to the types of fashion lifestyle. The most preferred hue of all the fashion lifestyle types was B. The most preferred tone of the information individuality type and the display type was V, and that of the practicality type was B. The study found that, in color planning, fashion lifestyles can function as an effective tool to subdivide consumers. Based on the empirical results of this study, I propose that color planning should be based on the type of fashion lifestyle.

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.585-594
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• 2004

This study aimed to classify the lifestyles of 1020 college students, and to analyze the effect of the lifestyles on the usages of credit card, price perception, purchasing satisfaction and the number of new clothing. The number of credit cards, total payment of credit cards and the attitude to credit card were different by the 7 clusters of college students, but the frequency of credit card use, the amount of cash service and arrear ages were not different. The perception to the apparel price, purchasing satisfaction, and the degree of clothing purchasing varied according to the lifestyle clusters. For example, 6th cluster being highest in the pursuit of appearance showed the highest amount of credit cards usage significantly and tendency of highest arrearage, and used credit cards mostly in clothing purchase.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1618-1625
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• 2006

The purposes of this study were 1) to identify dimensions of fashion lifestyles of men of digital generation and online shopping mall service attributes, and 2) to find factors affecting general satisfaction and intention to purchase at online shopping malls. Data were obtained from 632 men aged between 15 and 39 who were using the internet. Fashion lifestyles produced five factors, fashion leadership, shopping enjoyment, brand pursuit, personality pursuit, and practicality pursuit. Internet service attributes included three factors, check-out service, after delivery service, and product presentation service. Significant determinants of general satisfaction were after delivery service, check-out service, product presentation service, and purchase experience in order. For intention to buy, after delivery service, check-out service, product presentation service, purchase experience, practicality, and household income level in order were significant. Finally, general satisfaction of purchase was a useful determinant of intention to buy. Implications were given for improving internet shopping mall services from the perspective of online fashion mall marketers.

• The International Journal of Costume Culture
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• v.12 no.1
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• pp.38-51
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• 2009

The goal of this study is to define the types of the lifestyles of senior consumers and identify the differences in the properties of apparel products and the apparel attitudes. To collect the data for this study, questionnaires for the research were distributed from November 20, 2006 to December 15, 2006 to those over 50 living in Seoul, Pusanand Kyunggi and 302 questionnaires were used for the data analysis. The results of the study are as follows. First, six factors were extracted which were "Pursuit of Self-development", "Pursuit of Active Life", "Pursuit of Material", "Pursuit of Diversity", "Pursuit of Family-oriented" and "Pursuit of Recreational Life" after factor analysis of lifestyles recognized by the senior consumers that participated in this study. Second, the lifestyles of the senior consumers were categorized into "Consumption-oriented Type", "Personal Satisfaction-oriented Type", "Family Weighted Type" and "Recreation-oriented Type." Third, three factors were extracted which were "Symbolical Property", "Functional Property" and "Customer Support Property" after conducting the factor analysis on the properties of apparel products. Fourth, significant differences were shown in apparel properties by the lifestyle types of senior consumers in the symbolical property and the customer support property. The "symbolical property" was shown highest in "recreation-oriented type" and lowest in the "family weighted type." The customer support property was shown highest in the "family weighted type" and lowest in the "recreation-oriented type", showing the opposite result. Fifth, significant differences were shown in apparel attitudes by the lifestyle types of senior consumers in "Fashion Innovativeness", "Apparel Involvement" and "Apparel Necessity." The "fashion innovativeness" was shown highest in the "recreation-oriented type" and lowest in the "family weighted type." The apparel involvement and the necessity for apparel for senior citizens was shown high in the "recreation-oriented type" and this showed that the senior consumers valuing recreation also value fashion, have high apparel involvement and feel the necessity for apparel for senior citizens.