• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.193-202
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• 2019

In this study, we want to check if there are similarities and differences between Chinese students and Korean university students who make up the highest percentage of Korean students studying abroad and see what attributes affect their satisfaction with the use of Internet shopping malls. Based on the results, Chinese students will be able to suggest ways to increase their satisfaction in the process of using local Internet shopping malls and advise companies operating domestic Internet shopping malls on strategies to improve the satisfaction of foreign customers. According to the study, among the system evaluation factors experienced by Korean students and Chinese students when using Internet shopping malls, Korean students showed better information quality than their Chinese counterparts, and Chinese students showed better functionality than their Korean counterparts. Second, among the logistics system evaluation factors Korean and Chinese students experienced when using Internet shopping malls, both speed and delivery quality showed that Korean students were better than Chinese students. Third, when Korean students use local Internet shopping malls, the factors that affect their satisfaction with consumption were found to have significant effects on functionality, delivery quality, response reliability, information quality and speed. Fourth, Chinese students studying abroad showed that functionality, information quality, speediness and response reliability all had a significant impact on satisfaction, except for delivery quality.

• Journal of the Korean Home Economics Association
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• v.39 no.10
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• pp.55-67
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• 2001

The purpose of this study were 1) to find out the benefits sought factors and segment the customers of internet shopping mall, 2) to find out the store image factors of internet shopping mall, and 3) to analyze the internet shopping mall market using perceptual map of segmented groups. The questionnaires dealing with attribute dimension of internet shopping mall image, benefits sought, and demographic variables were selected from the previous studies or were developed for this study. The data from 319 respondents which were collected through the internet survey site was analyzed by factor analysis, cluster analysis, one-way ANOVA, and $X^2$-test. The results of this study were as follows: 1. Benefit sought by consumer in internet shopping malls was found to include six different factors: assortments of products, search efficiency, brand/fashionability, delivery convenience, promotion service and informativeness. 2. As a result of subdividing the consumers, four distinctive groups were formed on the basis of benefit factors: multi-benefit oriented group, convenience oriented group, brand oriented group and low-benefit oriented group. Demographic traits such as education and income level were proven to significantly differentiate the benefit segments. 3. In the structural components of internet shopping-malls image, product/information, service/convenience and economy were drawn from attribute dimensions. 4. 12 perceptual maps of internet shopping mall image were constructed and each ideal vector were drawn.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.467-474
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• 2010

The market of Internet-based fashion/coordination shopping malls have been growing rapidly year by year. In accordance with this growth, Internet fashion shopping malls are also making a lot of efforts to increase their revenue by displaying new fashion products on a high spot or by having professional models wear them to make them more attractive to the customers. If online shopping malls have the functionality of automatically calculating the matching degree of lower and upper clothes, it could play a role of off-line shop assistants and provide a more convenient way of purchasing fashion products for customers. In this paper, we present a learning system adopting the content-based filtering method for online shopping malls, which automatically calculates the matching degree of lower and upper clothes and recommends the most well-matched pair.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.4
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• pp.476-487
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• 2011

This study investigates the effects of internet shopping malls attributes on purchase satisfaction, repurchase intention, and word of mouth intention of fashion consumers. Data were collected from 400 consumers who purchased fashion products through internet shopping malls for the last 3 months. The survey was conducted from August $6^{th}$ 2010 to September $20^{th}$ 2010. A factor analysis identified 7 dimensions of internet shopping mall attributes: (1) interactivity, (2) website appearance, (3) sales promotion, (4) trust, (5) transaction capability, (6) fashion products variety, and (7) information offerings. The results show that all the dimensions of the internet shopping mall attributes affect purchase satisfaction, repurchase intention, and word of mouth intention. In addition, there were significant differences in the perceived attributes among three different types of internet shopping malls; comprehensive mall, fashion specialty malls, and online market-places (open-markets). While, there was no significant impact on the purchase satisfaction, repurchase intention, and word of mouth intention by the e-tailer types.

• Journal of Fashion Business
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• v.16 no.4
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• pp.75-87
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• 2012

This study was to investigate the conversion intent of fashion store among college undergraduates. The conversion intent in internet shopping mall and local store was associated with store attributes and relationship quality. A random sample of undergraduate students completed a questionnaire that contained measure of Store attributes, Relationship quality, Conversion intent of fashion store. The results revealed that store attributes of local store were store comport/salesman service, product diversity, store location, price and the store attributes of internet shopping mall were product diversity/easy of navigation, store reliability, screen configuration, sales promotion. Also, the result founded that the conversion intent of fashion store is related to store comport/salesman service in local store and is related to product diversity/easy of navigation, screen configuration, promotion in internet shopping mall. Relationship quality is highly effected of the conversion intent of local store and internet shopping mall. We expect that this research results can be used as a basic material for another study and setting up the marketing strategies in fashion store.

• The Research Journal of the Costume Culture
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• v.18 no.4
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• pp.655-669
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• 2010

This study focused on examining methods for the favorable relationship between internet shopping mall and customers from a point of view that it was necessary for internet fashion market getting faced with keen competition to change its marketing focus from securing new customers to customer retention strategies. Measurement instruments were selected to measure these variables and a questionnaire was made. Data was collected in 491 men and women in their twenties residing in Gwangju city using the questionnaire. The analysis results were summarized as follows: First, in the failure to purchase fashion products in internet shopping mall, as consumer's favorable internet shopping attributes, their possibility of complaining and repurchase intentions became higher, and had negative effect on regret and dissatisfaction. Second, attributions of the result of a failure to purchase fashion products in internet shopping mall were found to increase regret and dissatisfaction. Third, customers experiencing regret and dissatisfaction showed a very high possibility of complaining but their possibility of repurchase intentions had negative affect.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1075-1084
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• 2007

The purpose of this study is to find out the important factors and efficient strategies concerning internet marketing. This study tries to examine satisfaction of the on-line consumers on internet shopping mall via fashion products. To fulfill this objectives, a survey was conducted from May 15 to May 30 in 2006, and an subject of study is men and women aged from 10s to 40s in purchase experience of the fashion merchandise to internet shopping malls. Data collected over the internet, and analyzed the 205 subjects. The statistical analysis methods was frequency analysis, reliability analysis, factor analysis, multiple regression analysis. The empirical studies were summarized as follows. First, internet shopping mall's fashion goods attributes(goods characteristics, aesthetic expression, variety of goods) significantly affect consumer's utilitarian shopping value. Second, internet shopping mall good's price attributes(economical efficiency of price, price reasonableness, price value, price information, price discount) significantly affect consumer's shopping utilitarian shopping value and hedonic shopping value. Third, consumer's utilitarian shopping value and hedonic shopping value are positively related to the internet consumer's shopping satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.765-774
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• 2010

This study investigates the effects of consumer innovativeness on e-loyalty mediated by shopping mall attributes and consumer satisfaction with the Internet. Data were obtained from 243 consumers who had bought fashion products through online shopping. Data were analyzed by using factor analysis, Cronbach's alpha, and path analysis using LISREL 8.53 program. The results of this study suggest that the consumer innovativeness, such as Internet-innovativeness and Fashion-innovativeness affect shopping mall attributes including Loading, Visual, Information, Variety, and Price/Fashion. These attributes and the shopping mall satisfaction partially mediated the impact of consumer innovativeness on e-loyalty of shopping malls through the Internet. Especially, consumer satisfaction was the most important determinant to build up e-loyalty for the online shopping of fashion products. The findings provide implications for e-retailers to develop strategies related to consumer innovativeness, shopping mall attributes, and the e-loyalty of shopping malls for fashion products.

• Management & Information Systems Review
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• v.30 no.2
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• pp.1-25
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• 2011

In this study, a survey of online coupon user in their 20's and 30's was undertaken to explore how e-coupon attribute, perceived risk affect the intention to continuously use online coupons through mediation of online coupon user satisfaction. Four variables were used as E-coupon attribute variables(economy, amusement, reliability, usefulness) with coupon type and gender being used as moderating variables. The analysis results of relationship between e-coupon attributes, perceived risk and online coupon user satisfaction indicated that amusement, usefulness significantly affected online coupon user satisfaction, and this, in turn, significantly affected the intention to continuously use online coupons. In addition, the test of difference between groups in coupon type and gender, two moderating variables used in this study, found that with respect to coupon type, a moderating effect existed in reliability, usefulness whereas for gender, a moderating effect existed in only reliability. It is considered that this study will provide a credible evidence basis for Internet shopping malls in establishing a coupon promotion strategy including a specific promotional mix best suited to their needs and resources, while implicating that offering highly reliable online coupons will contribute to enhancing satisfaction level among customers using online coupons.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.39-48
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• 2009

This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.