The purpose of this study is to identify the factors mainly recognized by customers regarding environmental elements of clothing store. The respondents are classified into several groups according to their preferences on the environmental elements of clothing store. Also the relationship between the factors and the shopping characteristics of customers is reviewed based on the results. This survey was carried out through a questionnaire of male and female university students(Busan region) in their twenties. The data were analyzed by using Factor analysis, Cluster analysis, one-way ANOVA, Duncan test as a post identification and regression analysis. The results of this research can be summarized as follows; The perceived 7 factors about environmental elements of clothing store were service policy, store atmosphere, product variety, shopping convenience, trend of products, freedom of shopping and reception service. The respondents were classified into three groups(high recognizing group, middle recognizing group and low recognizing group) by the level of recognizing 7 factors. There were significant differences among 3 groups divided by the degree of recognizing the factors regarding environmental elements of clothing store and there was the meaningful relationship between these 7 factors and shopping characteristics. The high recognizing group has shopping characteristics like more shopping time, large expenditure for clothing and a lot of comparative stores. They are frequently in contact with clothing shopping environment and easily purchase clothes. Finally, the factors perceived by the environmental elements of clothing store significantly affected the shopping characteristics of the customers. So, store managers have to look for the perceived environmental elements of store by business and seek after the marketing factors which efficiently stimulate consumer.
This study analyzed the influencing factors on consumer purchase deferrals for internet clothing shopping. In addition, based on consumer demographics, it compared the differences of purchase deferrals with respect to clothing items, prices, and types of shopping malls. For an empirical study, 405 questionnaires were answered by respondents in their 20s and 30s with internet clothing purchase deferral experience. Data were analyzed using: SPSS for Windows 12.0 and descriptive statistics, reliability analysis, factor analysis, $X^2$-test, and regression analysis. The results of this study were as follows. First, the order of items with many purchase deferrals in internet clothing shopping were casual T-shirt>casual skirts>pants, one-piece>suits>sportswear>blouse/shirts and 58.3% of purchase deferrals happened when the price was below \50,000. Second, the significant differences in products, prices, and shopping malls for purchase deferrals were identified according to consumer demographics. There were significant differences in clothing items according to gender, age, marriage, and education; however, there were significant differences only according to gender in terms of price. There were significant differences according to gender, age, marriage, education, and income in terms of the used shopping malls. Third, for the analysis of the influence of diverse factors that can affect purchase deferrals for internet clothing shopping, the more information search, purchase deferral habits, perceived risks, and deficiency in shopping mall supply conditions were when higher purchase deferrals occurred. For a strong competitive online market, this study can help internet clothing shopping mall entrepreneurs manage products and customers by analyzing the lists of purchase deferrals indicated in "cart" and by administrating the influential factors for purchase deferral.
The study is designed to classify consumer groups based on their clothing shopping orientation and to examine the relationship among clothing shopping orientation, satisfaction to the shop-master, and factors of the shop-master's nature to understand clothing shopping orientation of women from 18 to 35. The final analysis was performed with 447 (consumers) ailed 336 (shop-masters) pieces of questionnaire. The data was analysed with SAS statistics package. The results of this study are as follows : 1. Clothing shopping orientation were composed of four dimensions : recreational shopping orientation, convenience/economic shopping orientation, store/brand loyalty shopping orientation, and shopping confidence. 2. In the satisfaction to the shop-master, the consumer was not satisfied by the appearance, product-presentation, and consumer-management of the shop-master but kindness, trust, and product-explanation by the shop-master. The shop-master guessed that consumers were completely satisfied. 3. The consumer had an influence on product-understanding, response, and consumer-understanding of the shop-master, and the shop-master guessed that consumers had an influence on every thing of shop-master. 4. The more consumers were store/brand loyal, the more they were satisfied with tole shop-master, and had an influence on the factors of the shop-master's nature. But consumers were confident on the shopping, were not shown to be significantly different in the satisfaction of the shop-master and the factors of the shop-master's nature.
The purpose of this study is to help male-clothing companies in investigating male shopping orientation and information source with clothing benefits. As for the method of the research, 428 male consumers were the object for the data of this research. The major results of this study are as follows : 1. The dimensions of clothing benefits were composed of the better appearances, the social status, the personality and the comfort. The dimensions of shopping orientation were composed of pleasant, planned, loyal and individual shopping orientations. 2. The consumer with clothing benefits were classified three groups: better appearances, comfort and careless. In the consumer's classified shopping orientation the group of pursuing personality and better appearances were given higher score at each level, while careless group was given the lowest score at each level of shopping orientation. 3. In case of using information source with classified consumers, the group of personality and better appearances got information through the marketer-oriented information source and neutral information source, the group of pursuing comfort got lots of information through human information source, the group seldom used all information source.
The purpose of this study is to find what male consumers value in their clothing behaviors, as well as to investigate how the consumers' shopping values and store VM impact on their clothing purchase behaviors. For data collection, research questionnaires were responded by 202 male students living in Busan. The collected data were analyzed according to the frequency-factor analysis using SPSS for win 10.1 Package, the factor analysis using Varimax, reliability analysis, and multi-regression analysis. The results of this study are as follows; First, the shopping values were composed of hedonic, utilitarian, and economic value, and VM was divided into store facility, store image, layout, and fashion information. Second, multi-regression analysis was conducted to find the impact of consumers' shopping values on their clothing purchase behaviors. The result showed that the hedonic shopping value and utilitarian shopping value significantly affected the consumers' clothing purchase behaviors, while economics shopping value did not show any statistical significance. Third, multi-regression analysis was conducted to find the impact of store VM on consumers' clothing purchase behaviors. The result showed that store image, layout, and fashion information had a significant impact on consumers' clothing purchase behaviors.
The purposes of this study were 1) to examine the dimension of fashion shopping mall attributes and shopping value related to online shopping, and 2) to investigate the effects of fashion shopping mall attributes and shopping value on purchase intention in online shopping. Data were obtained from 423 online fashion shopping mall consumers who have experiences of buying products or visiting to online fashion shopping mall in Busan, and were analyzed using by factor analysis, Cronbach's alpha, path analysis of LISREL 8.53. The results showed online fashion shopping mall attributes were composed of Visual information, Loading speed Space composition, Product assortment, Checkout service, and Help desk. Shopping value perceived by online fashion shopping mall consumers were consisted two factors: Hedonic value and Utility value. Hedonic value and Utility value Perceive by online consumers were influenced by Product assortment, Visual information, Help desk, and Space composition of shopping mall. Additionally, hedonic and utility shopping values perceive by online consumers impacted online purchase intention. Findings suggest that fashion shopping mall attributes mediated by shopping values are important in predicting purchase intention of online shopping mall. Implications are drawn for the information useful to consumer behavior researchers and retailers of online fashion shopping mall.
This study examines age differences with respect to consumers' clothing purchase behavior. First, the differences of age groups were investigated according to clothing purchase behavior, which include purchase item, purchase price, purchase channel, information resources, purchase frequency, and monthly clothing expenditures. Second, the differences of segmented groups by age variable were investigated according to clothing purchase behaviors after segmenting consumers by clothing shopping orientation. An on-line survey was conducted from July 2 to July 10, 2019, and 500 data were collected from adults aged 20s to 60s who had bought their own clothes within one year. Data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. This findings showed that there were significant differences in purchase item, purchase price, purchase channel, purchase frequency, and information resources according to age group. As a result of segmentation by shopping orientation, consumers were classified into three groups of high shopping involvement, low shopping involvement, and economic pursuit. In addition, there were partly significant differences in clothing purchase behavior according to classified groups by age variable.
This study identifies the main factors of internet clothing shopping motivation and analyzes their effect on customer e-loyalty among Korean and Chinese college students. Data were collected from 300 Koreans and 300 Chinese college students. The survey was statistically analyzed through an exploratory and confirmatory factor analysis, T-test, and structural equation modeling. The factors of clothing shopping motivations were identified as merchandising characteristics, shopping convenience, value price, and hedonic pleasure. Chinese students had stronger motivations for value price and hedonic pleasure; Koreans had stronger motivations for merchandising characteristics. The structural equation model showed that the shopping motivations for merchandising characteristics, shopping convenience, and hedonic pleasure had significant effects on e-loyalty for Chinese students and the motivations for value price had significant effects on e-loyalty for Korean students. The conclusion shows a strategic direction for entering the Chinese e-market.
The purposes of this study were to classify the types of consumers' emotion experienced in-store by shopping motivation and to examined the effects of store environmental factors on emotion and on shopping behavior. The questionnaires were administered to 330 women shopped in department store. Data from 299 women were analyzed by using frequency t-test and regression analysis by SPSS for windows PC program The results of this study were as follows : 1. The consumers' emotion experienced in -store were composed of five factors. But it could be divided by positive negative factors. 2. There was not significant difference in positive emotion between he Product Pu-rchasing Motive Group and the Window Shopping Motive Group. But there was significant difference n negative emotion between two groups. 3. It was found that the effect of environmental factors of apparel store on emotion was significant in both groups. Especially salespeoples' pressure significantly influenced negative emotion in both groups. 4. The emotion experienced in -store significantly influenced clothing shopping behavior.
The purpose of this study was to find out the shopping motive factors of clothing and to classify consumer groups according to clothing shopping motives, and also to analyze demographic characteristics, conspicuous consumption and clothing purchase behavior among consumer groups. The subjects were 329 women in their twenties living in Seoul. For data analysis, mean, Factor Analysis, Cluster Analysis, $\chi$$^2$-test, ANOVA, Duncan test were conducted. The results are as follows; 1. Three factors of clothing shopping motives were identified: fashion/leisure pursuit, economic, and personal motive. Consumer groups are classified into the following four subdivisions: personalizing group, apathetic group, fashion/leisure pursuit group, economic group. 2. Among consumer groups, there were significant differences in demographic characteristics according to age, occupation of the subjects. 3. Among consumer groups, there were significant differences in conspicuous consumptions according to factors such as brand intention, status symbol intention. 4. Among consumer groups, there were significant differences in clothing purchase behavior according to use of information sources. Regardless of clothing shopping motives, consumer preferred department stores in purchasing formal dress, and preferred haberdashery.bonded store in purchasing casual wear.
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