• The Korean Fashion and Textile Research Journal
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• v.10 no.3
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• pp.298-306
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• 2008

The purpose of this study was to consumer's evaluation toward salesperson attributes, satisfaction of salesperson and apparel store on relationship continuity. To this end, a total of 500 questionnaires were distributed to men and women university students and 443 samples were used for the final analysis. Data were analyzed by using frequency, percentage, factor analysis, cluster analysis, One-way ANOVA, crosstabs, Pearson's correlation analysis, regression analysis. The results of this study were as follows; Looking at the effects of evaluation toward salesperson attributes, satisfaction of salesperson on relationship continuity, they showed satisfaction of salesperson had direct influence on relationship continuity extremely when men and women university students are purchasing their clothing. Uniformity, customer orientation, expertise, kindness were as follows. Looking at the effects of evaluation toward salesperson attributes, satisfaction of apparel store on relationship continuity, it showed uniformity has direct influence on maintaining relations extremely when men and women university students are purchasing their clothing. Customer orientation, satisfaction of apparel store, expertise, kindness were as follows. Through this study, it will be applied into program development data for consumer management and education, and salesperson's efficient consumer response as well.

• Journal of the Korean Home Economics Association
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• v.40 no.4
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• pp.27-44
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• 2002

The purposes of this study were 1) to identify predictors of consumers′ apparel purchase on Internet shopping malls and 2) to determine reasons that respondents didn\`t have purchase intention of apparel on Internet shopping malls. The data were collected via a self-administered questionnaire from 204 male and female students who experienced shopping for apparel on Internet shopping malls, living in Cheju and analyzed by factor analysis, multiple regression analysis, t-test and paired t-test. Two predictors were found regarding purchase of apparel on the "big box" Internet shopping malls which sells various product categories; apparel quality and fun of order process. On the speciality Internet shopping malls which sells only fashion goods, diverse apparel assortment and easy handling and fun of information search were identified as predictors of apparel purchase. Reasons that respondents didn′t have purchase intention of apparel on Internet shopping malls were summarized and labeled as: difficulty of decision making due to virtual shopping environment, insufficiency of diverse apparels, users′ unease handling, risk of incredible apparel quality, unfamiliarity of Internet shopping and risks of unsecurity. Difficulty of decision making due to virtual shopping environment was determined as the most important factor of reasons that respondents didn′t have purchase intention of apparels in website.

• Fashion Information and Technology
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• v.2
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• pp.48-58
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• 2005

Purchase decision behavior for and satisfaction with apparel among retail buyers and consumers were compared. Kunz's behavioral theory of the apparel fm was the conceptual framework; Oliver's disconfirmation model guided measurement of satisfaction. Buyers and consumers indicated their perceptions about shopping orientations, variables that influenced apparel purchasing decisions, the importance of aspects of customer service and attributes that they expected to find and found when shopping. Surveys were mailed to retailers and consumers identified by random sampling of company lists. Respondents were 66 buyers and 344 consumers. MANOVA revealed differences in retailers 'and consumers' shopping orientations, the influence of variables on purchase decisions, and perceptions of the importance of customer service. Paired sample t tests indicated dissatisfaction for buyers on 10 apparel/shopping attributes and consumers on nine items. Results support the need for vertically integrated manufacturers to redesign strategies that are more appealing to both retail buyers and consumers.

• The Research Journal of the Costume Culture
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• v.4 no.2
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• pp.125-143
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• 1996

The purposes of the study were (1) to segment the female college apparel market based on clothing shopping orientation and (2) to develop a profile of each segment regard to fashion life style, information sources, clothing selection criteria, the importance of store attributes and patronage behavior. The data were collected through questionaire by random sample of 526 female college students. By cluster analysis of shopping orientation factors, four groups were identified(apathetic apparel shopper, highly involved apparel shopper, economic apparel shopper, psycho-socializing apparel shopper). Four groups were then compared through multivariate analysis of variance and chi-square statistics on 3 fashion life style factors, 11 information sources, 10 clothing selection criterias, 9 store attributes and 1 patronage behavior variable. Significant difference were found among the four groups on all these variables which indicate that clothing shopping orientation can be a useful base for segmenting female apparel market and these groups are unique in terms of the above 5 variables.

• The Korean Fashion and Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1509-1521
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• 2008

The subjects of this study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of apparel quality in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, apparel product quality is composed of five parameters: practicality, aesthetics, brand image, ease of care and fit. For the parameters of apparel product quality, the result of this study show that product improvements are needed in fit, aesthetics and practicality(in order of importance). The level of satisfaction(how satisfied consumer feels) was marked higher in brand image than that of importance(how important it is). To review demands for the apparel product attributes of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. Material was the most important design element in designing formal suits. The shape of the pants was the second because the harmony between the jacket and the pants is important in formal suits. These were followed by trim and color tone of the jacket.

• The Research Journal of the Costume Culture
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• v.13 no.2 s.55
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• pp.209-220
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• 2005

The purposes of this study were to determine the components of internet shopping value and to identify how those influence on the consumers' internet shopping behavior of apparel products. The data were collected via a self-administered questionnaire from 221 male and female students who have the shopping experiences for apparel products on the internet shopping malls, living in Kyongnam province. Using SPSS 12.0 package, $Cronbach's \alpha$, factor analysis, cluster analysis, ANOVA, Duncan multiple range test and stepwise multiple regression analysis were performed. The results could be summarized as follows; 1) According to the internet shopping values, college student consumers were classified into three groups, utilitarian value shoppers, hedonic value shoppers and low interest shoppers. 2) As a results of the ANOVA among the three groups, significant differences were found in the internet shopping mall attributes and perceived risks. 3) Internet shopping values-hedonic and utilitarian shopping values, internet shopping mall attributes and perceived risks had an significant effect on the attitude and purchasing intention of the internet shopping mall.

• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.163-175
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• 2011

The purposes of this study are to identify quality factors of knitwears, to find out important attributes of knitwears quality, and to find attributes of knitwears quality which improvement are required. College students in the Seoul district participated in the study, a convenience sampling method was used. A questionnaires was arranged with three separates subject sections, importance degree of knitwears quality, satisfaction degree of purchased knitwears, and demographic factors. Data from 280 questionnaires were used for the statistical analysis. For data analysis, factor analysis, paired-samples t-test and multiple response frequency were conducted. The results were as follows. Knitwears quality factors were classified into six subdivisions by factor analysis; physical functions, yarn and fabric properties, fit, symbol, aesthetic, and usefulness. Quality attributes in purchasing knitwears were considered importantly in order of design, textures, color, price, size, and shape stability, etc. Among quality attributes on knitwears, there were significant differences in importance degree and satisfaction degree; important degree was higher than satisfaction degree to six factors on knitwears quality. Especially, in graph according to gap analysis, physical function and symbol were included in IV area, attributes that attention, required of quality improvement. In contrast, yarn and fabric properties, fit, aesthetic, and usefulness were included in I area, strengths, maintained presently quality levels.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.4
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• pp.452-459
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• 1998

The purpose of this study was to discover a conceptual framework and evaluation process of apparel quality by means-end chain theory. The theoretical study was conducted to find out a conceptual framework and build a hypothetical evaluation process model of apparel quality. Apparel quality was perceived associative network called a means-end chain and was evaluated in several stages. A conceptual framework of apparel quality evaluation was organized into hierarchical relationships among four different dimensions: physical attribute, physical function, instrumental performance, and expressive performance. The means-end structure linked tangible physical attributes and function to more abstract instrumental and expressive performance. A hypothetical evaluation process model linked dimensions of apparel quality to the selected means-end relationship. Different consumers had different means-end chains for the same apparel. Therefore different subjects are likely to have different evaluation paths. From this study we can suggest an evaluation process model of apparel quality.

• Journal of the Korean Home Economics Association
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• v.37 no.4
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• pp.41-58
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• 1999

The purposes of this study were 1) to segment the market based on purchase frequency of products such as apparel, food, home electronics, life commodity in department store and low-price retailing, 2) to identify differences among segments in belief and attitude toward each store, purchase frequency of apparel items in each store and demographic variables. The data were collected via a self-administered questionnaire from 274 married women living in Seoul, Korea and analyzed by factor analysis, cluster analysis, one-way ANOVA and x$^2$-test. The results of this study were as follows: First, using cluster analysis on purchase frequency of products in each store, four groups were identified and labeled as department store patronage/ non-purchasers of apparel in low-price retailing(25.2%), purchasers of apparel in department store and low-price retailing(16.8%), low-price retailing patronage(30.3%) and non-purchasers of products in department store and low-price retailing(27.0%). Second, a series of one-way ANOV As revealed significant differences among four segments on beliefs of low-price retailing(four store attributes: price and variety of apparel product, facilities for convenient shopping, promotion, brand-reputation and fashionability of apparel product) and department store(three store attributes: price and variety of apparel product, facilities for convenient shopping and promotion) and attitude toward low-price retailing and department store. Attitude toward each store was yielded using Fishbein's multiattributes model. There were also significant differences among groups in purchase frequency of seven apparel items in low-price retailing and six apparel items in department store, and six demographic and personal variables(age, educational status, type of husband's occupation, monthly income and housing). Finally, the papers discussed manageral implications for each segments as well as theoretical implications.