• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.978-985
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• 2021

This study aims to propose a prediction model for the drape coefficient using artificial neural networks and to analyze the nonlinear relationship between the drape properties and physical properties of fabrics. The study validates the significance of each factor affecting the fabric drape through multiple linear regression analysis with a sample size of 573. The analysis constructs a model with an adjusted R² of 77.6%. Seven main factors affect the drape coefficient: Grammage, extruded length values for warp and weft (m_warp, m_weft), coefficients of quadratic terms in the tensile-force quadratic graph in the warp, weft, and bias directions (c_warp, c_weft, c_bias), and force required for 1% tension in the warp direction (f_warp). Finally, an artificial neural network was created using seven selected factors. The performance was examined by increasing the number of hidden neurons, and the most suitable number of hidden neurons was found to be 8. The mean squared error was .052, and the correlation coefficient was .863, confirming a satisfactory model. The developed artificial neural network model can be used for engineering and high-quality clothing design. It is expected to provide essential data for clothing appearance, such as the fabric drape.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.6
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• pp.907-917
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• 2000

Although interest in the potential and actual usage of the Internet as a transaction medium is increasing, the market for fashion merchandise on the Internet in Korea has yet to take off. As the Internet environment is expected to bring about a transformation of conventional consumer buying behavior, the purpose of this exploratory research is to investigate the buying behavior of fashion products on the Internet to identify relevant concepts and generate hypotheses for further empirical research. The research methods selected for the study were observation and in-depth interview. Twelve subjects who had purchased fashion products on the Internet were selected and interviewed. Those who could not participate in face-to-face in-depth interviews because of the geographic locations were interviewed on-line. The results are as follows: First, subjects went through the stages of shopping motivation stage, site choice behavior stage, in-site behavior stage, and postpurchase behavior stage. Second, a model was extracted for each shopping stage, and a final model was completed based on comparisons with the participants processes. The information content of each phase was discussed. Finally, each participant was classified using their purchasing process, revealing six possible mixed usage patterns of the Internet marketing system and the traditional marketing system.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.4
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• pp.467-481
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• 2014

This study examined consumer responses of photos used in Internet shopping malls. The content analysis conducted a preliminary study of the top 100 online shopping malls to investigate current website practices. Stimuli based on the preliminary study. The present study was a $2{\times}2$ factorial design that evaluated two independent variables of product presentation and background. We analyzed 410 responses derived from the descriptive analysis, factor analysis, and covariance analysis through SPSS 20.0. The results showed that a product presentation was significantly different in attractiveness, informativeness, satisfaction, and repurchase intention after controlling apparel items and model. This product presentation in everyday life had greater mean values than product presentation with the posing model. The background had a significant mean difference in all consumer responses expect for attractiveness. Overall product presentation in everyday life and indoor cases were evaluated as most positive by the respondents. The findings provide practical implications for online shopping malls integrating product presentation.

• Journal of the Korean Society of Costume
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• v.59 no.10
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• pp.111-123
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• 2009

This study investigated the multifaced country image. The casual relationships among the multifaced country image, attitudes toward a country, and purchase emotion and purchase intention of fashion products with Korean images were also investigated. To conduct a quantitative analysis, we collected data from 296 Korean female consumers. SPSS 12.0 and AMOS 5.0 packages were used for statistical analysis. The results of this study as follows. To identify components of country image of Korea, exploratory and confirmatory factor analyses were conducted. This procedure produced five components such as culture, technique/product, ethical values, nationality, and space. Structural equational model was used to analyze the relationships among the country image, attitudes toward a country, purchase emotion, and purchase intention of fashion products with Korean image. The proposed model was verified.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.3
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• pp.35-46
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• 2007

The purpose of this study was to modify a Flared Skirt for women according to the somatotype of lower body. The subjects for the wear test were 3 students, who were in mean${\pm}1{\sigma}$ each somatotype. As seen in the study, it was found out that there was a difference in three dimensional shape of the lower part of the body even in the group of whom the body heights, measured by Martin's system, are alike. Due to such a difference in the three dimensional shape of the lower part of the body, it was found out to be a difference in drapability of the flare skirts. In order to have better fitness of the lower part of the body and to raise the visual effect, therefore, it is suggested that there need to develop a new model of the flare skirts considering three dimensional shape of the lower part of the body for the wearer or to take complementary measures for each body shape in case of applying traditional model.

• Fashion & Textile Research Journal
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• v.23 no.5
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• pp.586-597
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• 2021

Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.1
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• pp.37-49
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• 2024

This study confirmed the relationship between variables developed by qualitative ground theory through quantitative research. The purpose of the study is to explain the effect of core sales tasks on sales services and the mediating effect of organizational member relationships on sales services. The data were collected through a survey of fashion brand salespeople in Gwangju from September to October 2020 with data from 235 responses analyzed using SPSS 27.0 and AMOS 26.0. The validity of the research model verified the confirmatory factor analysis and the research hypothesis was verified through path analysis and multi-mediated analysis of the structural model. The research results were as follows. First, sales management did not directly affect sales services, and customer management affected sales services. Second, a meaningful causal relationship was shown to exist between organizational member relationships and sales management, but organizational member relationships and customer management did not have a significant relationship. Third, the total and individual indirect effects of headquarters relations, colleague relations, and customer management were all statistically significant.

• Journal of the Korea Fashion and Costume Design Association
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• v.1 no.1
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• pp.73-90
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• 1999

The purpose of this study was to make clear the differences of middle and high school students‘ clothing attitude, clothing regulation attitude and influential groups in putting on clothing according to their demographic variables and scholar score. For clothing attitude and clothing regulation attitude, I examined 5 variables of conformity, individuality, modesty, fashion, clothing importance and 2 variables of refusal against regulation from school and parent, The influential groups were divided into ‘significant others’ of teacher, father, mother, other sex friend, same sex friend, and senior and ‘model group’ of teacher, parent, friend and mass media star. My subject was 1050 middle and high school students who are resident in Seoul; sample groups were selected, considered their resident area, gender and the kind of school. As for the analysing method, I adopted SPSS/PC＋Program to practice t-test, one-way ANOVA, Duncan’s Multi-Range Test. The results are as follows: There was difference in clothing attitude according to the sex and school except nonconformity. Conformity and clothing importance were higher for than boys in both middle and high schools, In particular, middle school boys' clothing importance were lowest. Compared with middle and high school boys, middle school girls considered fashion most seriously and modesty least, For both sexes, the lower the scholar score, the worst the modesty, While the lower the scholar score, the higher the fashion, the refusals against clothing regulation from school and parent for boys, but the fashion and the refusals against regulation from school for girls, As for boy, the lower his father’s educational career was, the higher the clothing importance was, and the lower his mother‘s educational career, the fiercer he refused against clothing regulation from school. As for the influence on significant other/model groups when wearing clothing, girls were more influenced than boys.

• Journal of Fashion Business
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• v.18 no.1
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• pp.118-131
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• 2014

The purpose of this study is to classify the service recovery fairness of internet fashion shopping mall depending on the type of shopping mall into 3 levels, and analyze their influence on customers' satisfaction and intention to repurchase. Data were collected from 271 customers who had made a complaint or raised a question about service among the customers, and was analyzed through AMOS 7.0. For hypothesis testing, a research model was set up in the form of structure equation model, and its suitability was investigated. The results of this research can be summarized as follows: First, in relation to the service recovery fairness at internet shopping mall, only the consequential fairness has a meaningful relationship with customer satisfaction. Second, it has been shown that the higher the customers' satisfaction with internet shopping mall, the more positive influence it has on intention to repurchase. Third, it has been shown that the influence of service recovery fairness on customers' satisfaction and intention to repurchase has a meaningful difference depending on the type of internet shopping mall. In other words, it has been shown that customer satisfaction is higher at open market than general internet shopping mall. In addition, it has been shown that in open market, only the consequential fairness has a meaningful influence, therefore it will be more effective to strengthen a strategy focused on economical rewards than other fields.