• Journal of the Korean Society of Costume
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• v.63 no.3
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• pp.95-109
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• 2013

This thesis was conducted with the purpose of proposing a systematic and comprehensive system for women's upper garment sizes so that the satisfaction level of women purchasing the upper garment products in Internet shopping malls is enhanced. To achieve this, this study first conducted a survey of women from the ages of 18 to 39 and attempted to discover consumer satisfaction levels and preferences of the clothing product sizing system of Internet shopping malls. While keeping track of the global distribution environment, an optimal clothing sizing system for Korean women that fit recent changes in their body shapes was proposed. The results of this study are as follows. First, A result of studying the satisfaction levels and preferences of consumer's purchase experience and the sizing system showed that 48.6% of the total respondents were dissatisfied with the current sizing system. Second, based on the research of the size classification system of domestic and foreign upper garment for women, unlike domestic Internet shopping malls, overseas generally offer several size classifications. Third, results of studies 1 and 2 was used to propose an optimal clothing products sizing system method. Also, the body and product sizes and the measurement methods should be offered together. In summary of all these results, by establishing globally compatible sizing system, consumers are able to recognize their sizes on their own and by doing this, it will lower perceived risk of the consumers at the time of a Internet shopping mall purchase, and this will raise their level of satisfaction while making purchases.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.79-90
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• 2014

With the development of modern society, not only have the Internet and e-commerce been progressed but they also made 'consumption patten' diverse. Despite the internet clothing market growth, there is critical a disadvantage, which is consumers is not able to wear the products presented via online pictures. Thus, pictures on the internet are the only information customers can get, which has caused consciousness on the importance of dealing with 'customer review'. In spite of the fact that 'customer review' has undeniably evolved to be one of customers' essential requisites, the research on this subject is very limited. Until now, the studies on the internet shopping consumers' behavior mostly has to do with the features of 'customer review' such as 'a sense of exaggeration', 'usability', 'duality', 'purity', 'professionalism', 'reliability', and the 'similarity', etc.) Therefore, this study categorizes the characteristics of online shopping reviews to 'the number of reviews', 'the article-length', 'the existence of photos', 'the rewards for reviews', 'the contents of the reviews' and 'the freshness of the reviews' and reviews the impact of an features of 'customers' reviews' affecting the internet shopping sales promotion. Moreover, it is to contribute to the marketing strategies of a shopping mall by analyzing consumers' 'purchasing satisfaction', 'the intention of repurchasing', and 'the factors of viral marketing'.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1891-1902
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• 2008

With concerns for consumers' return behaviors affecting internet shopping malls' profits and product management in the internet clothing market, this study is designed to investigate determinants affecting return and path models for return behaviors. For an empirical study, questionnaires are prepared and respondents in their 20s and 30s with internet clothing purchase experience are selected using the convenience sampling. A total of 517 questionnaires are used for the final analysis. Data are analyzed by using SPSS 12.0 software and descriptive statistics, $x^2$-test, discriminant analysis, regression analysis, and path analysis is conducted. The results are as follows. First, ones who have returned after purchasing clothing items in internet shopping reached 63.4% of the total consumers. Respondents returned items with price at 50 thousand won or less stood at 67.2%, and the most frequent return shopping malls are open markets with their return rate at 51.1%. Second, variables such as risk perception, information search, impulse buying, buying experience, and age have a positive effect on return experience. Impulse buying and buying experience turn out to have a significant effect on the degree of return, but risk perception, information search, age, and gender to have an insignificant effect. Return intention is significantly affected by risk perception, gender, and age. Third, the analysis of path model for return experience shows that perceived risk has a positively effect, and information search has a direct effect as well as an indirect effect through buying experience or impulse buying. The analysis of path model for the degree of return shows that risk perception does not have effect, but information search has indirect effect through buying experience or impulse buying. This study is thought to find consumers' return behavior characteristics in online shopping, and help businesses operating online shopping malls to efficiently manage returns and set up strategies against returns.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1927-1938
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• 2008

Companies can build a close relationship by providing benefits that consumers want. As long relationships between consumer and company are stressed these days, it is very important for the growth and development of companies to assess what benefits consumers perceive and how they reflect them to their buying behaviors. Thus, this study aims to examine the relational benefits that consumers perceive in internet clothing purchase and how these perceived relational benefits affects relational commitment and customer loyalty. This study surveyed 343 male and female in their 20s and 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and ${\chi}^2$-test are carried out using SPSS for Windows 12.0 for statistical analysis. The results are as follows. First, the dimensions of relational benefits perceived by consumers in internet clothing purchase are found 6 including customization, economic, psychological, social, shopping convenience, and informational. Second, consumers' perception of relational benefits significantly affect on relational commitment and loyalty, thus consumers with greater recognition of relational benefits have higher relational commitment and loyalty. Third, based on the dimensions of consumer's perceived relational benefit, consumers are categorized into 6 types: group perceiving social benefit, group perceiving economic/shopping convenience benefit, group perceiving shopping convenience benefit, group perceiving customization benefit, group perceiving informational benefit, and group perceiving psychological benefit. The group perceiving customization benefits have higher relational commitment and loyalty than the others. It is expected that this study will help internet companies establish customer relationship management strategies, which are needed to promote relationships with customers and to enhance customers' loyalty to internet shopping malls.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.614-628
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• 2012

The purpose of this study was to analyze research trends and make suggestions regarding the future of information technology (IT) in the fashion industry. In this study, 437 papers written regarding IT fashion from five major journals published between 2000 and 2011 were examined. The research areas were then organized by subject and keyword, and divided into 16 high-context categories. Two IT fashion maps were constructed, one from a fashion consumer's perspective, and the other based on the fashion industry's supply chain. This study identified important trends in IT fashion such as: 3D scanners, 3D digital renderings of the human form, 3D digital garments, smart garments, mass customization, production automation, online shopping, home shopping, online communities, e-commerce, digital media, virtual reality, e-tail, the digital generation, E-CRM, and education. Data from body scans was collected and applied to production, and research on smart textiles was also carried out. As for IT fashion's service areas, the majority of the research focused on online shopping or online communication. Additionally, research done on avatars and cyber space, and studies on social networking services are shown. The results of this study indicated that a new field of research has opened and that current research has been developing. Also, this study showed what is needed to expand and strengthen IT fashion.

• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.145-160
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• 2001

The purpose of this study was to classify consumer groups according to shopping attitude and analyze buying intention and evaluation criteria of apparel product, opinion to CATV home shopping among consumer groups. The subjects of this study were 270 women living in Chonbuk and Chonnam regardless their experiene in CATV home shopping. For data analysis frequency, percentage, mean,1-test, factor analysis, Cluster Analysis, Duncan Multiple Range test, were conducted. The results were as follows; First, the type of shopping attitude were classified into the following subdivisions: merchandise assortment oriented type, adventure oriented type, indifferent type, economy oriented group, recreational oriented group. Second, shopping attitude were shown to have the significant differences according to education, the structure of family, working in double hamess. Third, the significant differences among the classified shopping attitude groups were found in buying intention, evaluation criteria of apparel product, and opinion to CATV home shopping.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.8
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• pp.1069-1078
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• 1998

본 연구의 목적은 미국 여대생의 의복태도, 유행혁신성, 쇼핑에 신체이미지가 미치는 영향을 규명하는 것이다. 신체이미지는 신체 5부위(얼굴, 상체, 하체, 신장, 체중) 각각에 대한 신체만족도와 이상적인 신체이미지의 중요성으로 측정하였고, 의복에 관련된 변인인 의복태도, 유행혁신성, 쇼핑(점포내 쇼핑관심과 카탈로그 쇼핑행동)은 선행연구에서 타당성이 입증된 척도를 사용하였다. 결과로 의복태도와 유행혁신성은 신체 각 부위에 대한 이상적인 신체이미지의 중요성과 특정부위에 대한 신체만족도와 유의한 관계가 있는 것으로 나타났다. 즉 신체 각 부위에 대한 이상적인 신체이미지가 중요하면 할수록 또 신체 특정부위(얼굴)에 만족하면 할수록 의복에 대해 긍정적인 태도를 갖으며 유행혁신성의 정도가 높았다. 쇼핑의 경우 점포내 쇼핑관심은 신체만족도와 이상적인 신체 이미지의 중요성과 정적인 상관관계를 보인 반면 카탈로그 쇼핑행동은 이상적인 신체이미지의 중요성과 부적인상관계를 보였다. 즉 신체에 만족할수록, 또 이상적인 신체이미지가 중요할수록 점포내 쇼핑에 대한 관심은 커지는 반면 이상적인 신체이미지가 중요하면 할수록 카탈로그 쇼핑 기피하는 것으로 나타났다.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1239-1247
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• 2002

Consumers' purchase intention related with price reduction is important factor for the successful marketing strategy of electronic commerce as a new marketing channel. Therefore, the purpose of this study was to assess the difference of consumers' attitude(purchasability and perceived need) depending upon purchasing variables, and to investigate how consumers' attitude influence on purchase intention with price reduction in the internet shopping mal1. For research method, 400 questionnaires were distributed to subjects who were 20 to 39 years old; and among the returned questionnaires 347 were usable. Data were analyzed by t-test, regression analysis, frequency with SPSS 10.0. Results of this study were as follows: First the results showed that purchasability and Perceived need affect Purchase intention according to off-price percentage, and brand and clothing style in discount. Second, there were significant differences in purchasability, and perceived need according to off-price percentage, and brand in discounts. However, there were no significant differences in purchasability and perceived need according to clothing style in discounts.

• Fashion & Textile Research Journal
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• v.9 no.6
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• pp.626-636
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• 2007

The purpose of this study is to find out the important factors and efficient strategies concerning internet marketing. The areas of study interest are, the characteristics of on-line shopping mall and the consumer shopping propensity. To do this, a 24-item Internet shopping mall characteristics and a 13-item consumer shopping propensity variables were developed to collect data from the 230 samples. The sample population composed mainly of, the college students and business man who had recent on-line shopping experiences on apparel goods. The 4-item satisfaction measure was used as the dependent variable. Also, a 11-item perceived shopping value measure was developed and measured to explore the mediating effect in the path between the endogenous and exogenous variables. Findings indicate that the characteristics of Internet shopping mall significantly contribute to the utilitarian shopping values, while the consumer shopping propensity contributes to the utilitarian and hedonic shopping values. In addition, the characteristics of internet shopping mall, the consumer shopping propensity, and shopping values are the good indicators for the consumer satisfaction.

• Journal of the Korean Home Economics Association
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• v.43 no.4 s.206
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• pp.49-63
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• 2005

The Purposes of this study were to segment Chinese consumers by clothing Purchase motive, and then to analyze and compare the clothing purchasing behavior among the segmented groups. The subjects were 655 career women of middle and high class in their 20's and 30's living in Benjing, Shanghai, Shenzhen, and Changchun. A total of 655 questionnaires were analyzed by using frequency, mean, factor analysis, ANOVA, Duncan's multiple range test, cluster analysis, and X^2 _ test. The results were as follows: 1. Chinese consumers were segmented into clothing high-involvement group, fashion pursuing group, practicality pursuing group, and characterless group. 2. The clothing purchase behavior variables such as purchasing motive, using informants, clothing selection standards, store selection standards, purchasing place, satisfaction after purchasing clothes, price of purchase, shopping time, shopping companion, and paying method were significantly different among the 4 segmented groups. 3. The demographic variables such as a city, marriage, total monthly income, and average monthly expenditure on clothing were significantly different among the 4 segmented groups.