• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.8
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• pp.1112-1120
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• 2004

The visual environment of the store is a very important factor to attract consumers into the store and make consumers purchase products. Therefore retailers should have concerns about store environments to differentiate their stores from other stores. Thus this study focused on visual environment of the store influencing consumer behavior. The concrete purpose of this study was to identify preferences of store environments and store types by consumer traits. First, the store choice criteria factors were examined and through the cluster analysis, several consumer groups were constructed. And then the visual environment factors of the store that consumers perceived important were identified and the visual environment factors of the store preferred by consumer groups were examined. Finally, store types preferred by consumer groups were examined. The findings of this study can assist store designers and retailers to set up a store environment or visual marketing strategies.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.883-894
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• 2012

Fashion companies are faced with more severe competition with the emergence of new types of retail formats. Retailers are coming up with new shopping values to maximize their profits and benefits of customers. The aim of this study was to study shopping values and analyze differences in store selection criteria and store visits among. The respondents were males and females with ages ranging from the 20's to the 40's, residing in Seoul and the Gyeonggi area. Data were collected via both online and offline. Data from 427 respondents were analyzed using SPSS 17.0. Results indicated that there were three categories including hedonic, informative, and reliable shopping values from the factors for clothing shopping values. They form three types of consumer groups such as active, passive-reliable, and hedonic-informative shopping value groups. These three groups were different in terms of demographic characteristics. For the factor influencing store preference, the range of product selection and customer service were the two significant features that showed substantial differences in the shopping value groups store's atmosphere, salespeople, convenient location, price, and brand store did not have significant differences across groups. Retailers of each fashion retail formats have to consider consumers shopping values for their retail decision makings.

• The Research Journal of the Costume Culture
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• v.16 no.3
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• pp.574-587
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• 2008

The purposes of this study were to classify shopper types by high-school girls' purchasing motivations of color cosmetics and to examine the effects of store evaluative criteria and information sources on store patronage behaviors. A questionnaire was developed based on the previous studies and was administrated to 534 high-school girls living in Busan High school girls were pursuing to cover and white their faces by using color cosmetics. The data was analyzed by factor analysis, chi-square test, cluster analysis, ANOVA, Duncantest, and regression analysis using SPSS 12.0. The results showed that they were classified Covering/whitening pursuing groups, Beauty pursuing groups, and Curiosity/conformity pursuing groups by their purchasing motivations of color cosmetics. High school are girls pursuing to cover and white their faces by using color cosmetics, and are were likely to visit low price specialty stores. This is influenced by their experiences and information from their friends or families. Girls using color cosmetics from their curiosity or conformity were likely to shop in low price specialty stores with a good layout and kind salespersons, while they were likely to use general specialty stores when they wanted to exchange and test cosmetics. These findings may provide useful implications for researchers and marketers related to color cosmetics markets of high school girls.

• Journal of the Korean Society of Costume
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• v.53 no.2
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• pp.1-16
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• 2003

The purpose of this was to identify the shopping orientation and store selection criteria of credit card apparel shoppers. The subjects were credit card holding women who had experienced credit card apparel shopping at least one time during last 6 months. The results were as follows : 1. Women of 20's were segmented into multi-cards holding light users, multi-cards holding heavy users, and mono-card holding light users according their credit card numbers and the monthly credit card apparel expenditure. 2. The factors of apparel shopping orientation were pleasure, economy, brand loyalty. self-confidence. shopping plan, and fashion. And the factors of store selection criteria were additive service, store atmosphere, Product assortment, sales promotion. and product diversity. 3. Multi-card holding light users showed higher tendency in self-confidence and economy of shopping orientation, and considered additive service more. Multi-card holding heavy users showed higher tendency in pleasure. brand loyalty, self-confidence, shopping plan, and fashion of shopping orientation, and considered sales promotion and product diversity. Mono-card holding light users showed lower tendency in pleasure. brand loyalty, self-confidency, shopping plan, and fashion, and considered additive service, store atmosphere. product assortment, sales promotion, and product diversity less.

• Fashion & Textile Research Journal
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• v.5 no.4
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• pp.363-371
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• 2003

This study is designed to identify the dimensions of clothing shopping motives and clothing involvements which influence consumers' store choice behaviors and to find out what variables have a direct influence on the attitudes of customers toward stores. The empirical research was made through the survey on 300 female and male shoppers who purchased clothing. The major results of this study are as follows : 1. The dimension of clothing shopping motives is composed of leisure-related shopping motive, products-related shopping motive, and economy-related shopping motive. And the dimension of clothing involvement consists of pleasure involvement factor, fashion involvement factor, and symbol involvement factor. 2. The dimension of the store choice criteria is composed of such five factors as promotion, products, prices/salespersons, service, and location. 3. There is a positive correlation of the products-related shopping factor and the leisure-related shopping motive only. And the store choice criteria have a positive correlation with all the factors of clothing involvement. 4. The high-shopping-motive group turns out to pay more importance to such factors as products and location than the low-shopping-motive group. 5. The variables which have influences on the attitudes of customers toward stores tum out to be such factors as fashion involvement, promotion in the store choice criteria, and gender.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.547-558
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• 2004

The purposes of this study were to classify shopper types based on clothing shopping orientations and to identify the differences in store selection criteria and demographic characteristics by shopper types. The questionnaire was administered to female and male undergraduate and graduate students living in Seoul. Of 330 returned questionnaires, 319 were used in the statistical analysis which were factor analysis, cluster analysis, $\chi$$^2$-test, and One-way ANOVA. The results of this study were as follows: 1) Clothing shopping orientations had six factors: recreational shopping, name conscious shopping, economic shopping, fashion oriented shopping, convenience shopping. and individualistic shopping. Cluster analysis identified that clothing shopping orientations had four groups: recreational cluster, individualistic cluster, demanding shopper cluster, and convenient brand conscious shopper cluster. 2) Clothing shopping orientations were significantly different in relation to the demographic characteristics such as gender, major field of study, expenditure on clothing, pocket money, and family income level. 3) Store selection criteria had five factors: service quality, physical store environment, sales personnel, shopping convenience, and other attractions. 4) There were significant differences in physical store environment, shopping convenience, and other attractions according to the shopper clusters.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.1
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• pp.1-12
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• 2006

Approaches to spatial analysis differ from the type of spatial objects to be treated. Especially, in here, the case where two spatial data sets coexist is considered. The goal of such case lies on detecting a subset of spatial objects out of a large set that affects the distribution of the other object. However, it is not easy to extract a subset from a large set by visualization just with the help of GIS since huge amount of data are provided nowadays. In this research, therefore, relationship between two different spatial data are analyzed by quantitative measure in the case study of marketing geography. A purchase history data of a small retail store and the location of its competitors are given as source data for the analysis. The goal of analysis from the aspect of this case study is to extract strong competitors of the store that affects the sales amount of the store among many competitors. With the result, therefore, it is expected that market area pattern and competitive power of stores under micro scale retail environment would be understood by quantitative measure.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.3
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• pp.99-113
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• 2015

The purpose of the study was to explore differences in perceived importance among factors of motives for participating in outdoor sports, product selection criteria of outdoor sportswear and store selection criteria, and in buying frequencies among store types and store locations. Another purpose was to find differences in importance of product selection criteria of outdoor sportswear and store selection criteria and in buying frequencies according to store types and store locations among groups according to motives for participation in outdoor sports. The questionnaire was developed by the researcher and was collected by 221 women aged between 40 and 59. The questionnaire was composed of four parts including participation motives, store selection criteria, and product selection criteria measured by Likert type scale, and demographic characteristics measured by nominal scale. Data were analyzed by frequency test, factor analysis, repeated measure ANOVA, Bonferroni adjusted t-test, cluster analysis by Ward method, ANOVA and Tukey's test as a post-hoc test. The results of the study showed that middle-aged women rated health improvement motive as the most important factor for participating in outdoor sports. Among product selection criteria, comfort was the most important, and among store selection, personal selling was the most important. Among store types, buying frequency in off-price store was the highest and among store locations, buying frequency in stores in a residential area was the highest. Moreover, three groups were classified according to motives for participation in outdoor sports: the health improvement motive group, the conspicuous/sociable motive group, the lower motive group The health improvement motive group rated comfort as the most important factor for product selection criteria, and showed the highest buying frequency in downtown stores. Conspicuous/sociable motive groups valued design and utilization for an everyday wear and shopped more frequently in specialty store and/or in downtown stores.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.284-295
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• 1999

The purpose of this study was to investigate characteristics on Department stores consumers and to compare consumer characteristics among shopper types and department store types. For this purpose an ethnographic approach which is a kind of qualitative analysis was performed first. And then The data were collected from 600 female consumers over twenties and residing in Pusan Finally 499 data were used for the statistical analysis. 1. The results of clothing shopping orientations study were as follows : As a result of qualitative analysis those who patronize department stores were recreational/convenience shoppers. From quantitative analysis clothing shopping orientations were factor analyzed. which resulted in eight factors ; Recreational Shopping Convenience Shopping. Sensibility Seeking Well-Known Brand Preference Fashion Seeking Economic Shopping Sel-confidence in clothing shopping Convenient store shopping. 2. The results of store choice criteria study were as follows: As a result of concentrative observation eight store choice criteria dimensions were categorized : Service Store Atmosphere Promotion/Facilities Product Convenience Advertisement VMD Traffic/Location Convenience. From quantitative analysis eight store choice criteria factors emerged; Service Store Atmosphere Promotion/Facilities Assortment Shopping Convenience Advertisement VMD Traffic/Location Convenience. 3. According to the factor scores of recreational shopping and Convenience shopping consumers were segmented into four shopper types ; High Shopping-involved Shopper Recreational Shopper Convenience Shopper and Low Shopping-involved Shopper. Department types were divided into a large enterprise department stores and local department stores. Consumer characteristics such as clothing shopping orientations store choice criteria purchase behavior variables and demographic variables were significantly different in shopper types and department store types were significantly different in clothing shopping orientations and tore choice criteria.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.8
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• pp.1254-1265
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• 2000

The purpose of this study was to examine the differences in clothing purchase behaviors among groups determined by subjective and chronological ages. The subjects of this study were teens and adults of up to 59 years of age residing in Seoul and the Metropolitan areas. Out of 700, 578 were used for final data analysis, Chi-square analysis, ANOVA, Duncans multiple range test and descriptive statistics were used for statistics analysis. The following results were found: the subjects were divided into 3 groups based on the subjective age. All age groups tended to perceive subjective age similar to chronological one. Regarding evaluative criteria for selecting clothes and stores, significant differences were found among all chronological and subjective age groups. By chronological age levels, significant differences were found among subjective age groups except the teens in the evaluative criteria used for purchasing clothing. Significant differences were found among subjective age group in all chronological age brackets in store selection criteria.