• International Journal of Contents
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• v.6 no.4
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• pp.62-68
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• 2010

More and more researchers and practitioners in the field of e-commerce are paying attentions to the retention of online customers. However, only a few researches can be addressed in the context of internet shopping mall repurchase intention. This study aims at investigating and delineating the important characteristic factors which affect consumers' repurchase intentions by conducting an empirical analysis. In order to fulfill this purpose effectively, a comprehensive review of previous studies regarding information system success model was performed in order to render a stronger theoretical foundation for our study. Finally, based on the DeLone and McLean (2003) IS success model, information quality, system quality, service quality, customer satisfaction and repurchase intention were employed as five constructs in the research model and hypotheses on mutual relationships between these constructs were established accordingly. Structural equation modeling was employed to analyze the data collected from 204 internet shopping mall consumers in China. Our theoretical model exhibited a good fit with the observed data. The empirical results showed particularly strong support for the effects of information quality, service quality and user satisfaction. The findings of this research contributed to the extension of repurchase intention study in the context of Internet shopping malls. Our research also offered implications for practitioners in regards to devising internet shopping malls so as to increase consumers' repurchase intention to use these services.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.187-196
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• 2000

A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

• Korean Journal of Human Ecology
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• v.20 no.5
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• pp.1035-1046
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• 2011

The purpose of this study was to investigate the impulse buying behavior of men and women in their twenties, who have experiences of purchasing on internet shopping malls, when they buy fashion products. The data in this study was statistically analyzed using factor analysis, reliability coefficient, and multiple regression analysis using SPSS 14.0. The findings are as follows. First, factor analysis revealed five factors of impulse buying behavior during the purchase of fashion products on internet shopping malls: affective impulse buying, provocative impulse buying, situational impulse buying, reminder impulse buying, and pure impulse buying. Second, factors of perceived risk when purchasing fashion products on internet shopping malls included product quality, payment, service, and economy. Third, sources of information included personal sources of media for fashion professionals, commercials and sponsorship, and promotion. Fourth, the effect of the perceived risk on impulse buying behavior was investigated and the result showed that the perceived risk had a statistically significant influence on impulse buying behavior. Finally, the effect of the information source on impulse buying behavior was investigated and the results showed that the use of information sources had a statistically significant influence on impulse buying behavior.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.1
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• pp.1-9
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• 2012

It is well known that internet shoppers are very sensitive to sale prices. They visit the various shopping malls and collect the product information including purchase conditions for goods purchase decision-making. Recently the necessity of information support is increasing because of increase of information amount which is necessary and complexity of goods purchase decision-making process. The comparison shopping agent systems have provided price comparison information which is collected from various shopping malls to satisfy internet shoppers information craving. But the frequent price change caused by keen price competition is becoming the primary reason of information quality decline among price comparison sites. RSS which is a family of web feed formats used to publish frequently updated is applied even in on-line shopping malls. This paper develops a RSS product information collection system to get real-time product information. The proposed product information system consists of (1) web crawler module for searching RSS feed shopping malls automatically, (2) RSS reader module for parsing product information from RSS feed file, (3) product DB and (4) product searching module. Performance of the proposed system is higher than the comparison shopping agent systems when it is defined with the volume of collecting product information per unit time.

• The Research Journal of the Costume Culture
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• v.16 no.4
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• pp.775-783
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• 2008

Nowadays much amounts and various kinds of fashion products are sold through cyber shopping malls. Vendor type and intermediate type cyber shopping mall among many types of cyber shopping malls were selected to analyze assortment and price of fashion products. fashion products 'Best 100' from two cyber shopping malls were listed and classified. The results were as followed: First, the portion of fashion products at vendor type cyber shopping mall was higher than that of intermediate type. Second, fashion products items such as coat, Jacket, one-piece dress, sweater, t-shirt, pants, skirt, and underwear were sold at cyber shopping malls. Underwear and t-shirt were the best selling items at intermediate type shopping mall, and more expensive and fashionable coat, Jacket, and one-piece dress were the best selling items at vendor type shopping mall. Third, the price range of fashion items at vendor type shopping mall was higher than that of intermediate type shopping mall from 1,000 won to 99,000 won.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1817-1827
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• 2009

This study analyzes how the purchase reviews of fashion merchandise influence consumer trust, satisfaction, commitment, word-of-mouth intention, and repurchase intention in internet shopping malls. The survey was conducted from October $15^{th}$ to December $5^{th}$ in 2008, and 368 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The results show that the purchase reviews factors of fashion merchandise in internet shopping malls were amusement, assentation, overstatement, genuineness, and usefulness. The assentation, genuineness, and usefulness of purchase reviews have an effect on consumer trust and satisfaction. The amusement, overstatement, and usefulness of purchase reviews have an effect on the emotional commitment of consumers, while the amusement, assentation, overstatement, genuineness, and usefulness of purchase reviews influence the reasonable commitment of consumers. Consumer trust and commitment effect word-of-mouth intention and repurchase intention in internet shopping malls.

• 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.25 no.7
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• pp.1353-1364
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• 2001

The purpose of the present study was to investigate the factors influencing the extent of satisfaction/dissatisfaction for the internet fashion shopping malls. Data were collected through a self-administered questionnaire survey from 503 netizen through internet by using the server of ECMiner Research Company. Data were analyzed by factor analysis, one-way ANOVA and Duncan's multiple range test. Regarding the satisfaction/dissatisfaction with internet shopping mall, 5 factors were found. Netizens wee divided into 3 groups based on purchase experiences: the less-purchased(1-6 times) the more-purchased(above 7 times) and the not-purchased. The respondents tended to be dissatisfied with the 5 factors. The more they purchased experiences through internet, the more satisfied they were with convenience of shopping and after-sales service factors. Gender and age were the factors influencing the most on the satisfaction/dissatisfaction with the internet shopping malls for the not-purchased. However, for the groups with purchase experiences, experiences, evaluative criteria for selecting shopping malls, the number of hours using internet per week, and the extent of experiences of using internet were the main variables.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.2
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• pp.161-174
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• 2014

This study performs an investigative research on the shopping value of consumers who purchase fashion/beauty products using group buying social commerce among the types of social commerce and private shopping malls. We provide basic knowledge on consumer behavior using social commerce newly appeared as shopping channels. For the method, the research was performed by designing a sequential integration method of conducting quantitative verification after qualitative research. As a result of qualitative research, multiple shopping values have been shown as the common shopping values of consumers using two types of shopping malls. The dimensions are price, quality, convenience, interaction, information, reliability, hedonic and impulse buying values. A total of eight sub-dimensions have appeared due to performing quantitative verification on the shopping value of group buying social commerce. The dimensions are same as the results from the qualitative research. The shopping value of consumers who purchase fashion/beauty products using private shopping malls has been classified into seven dimensions (except interaction value).

• Journal of Distribution Science
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• v.15 no.6
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• pp.5-12
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• 2017

Purpose - This study is to investigate the effects of consumption values of retailers on the importance of store attributes, and to determine the influence on the consumption values of consumers who shop at complex shopping malls on the empirical and functional attributes in those malls as well as on the influence of on/off-line channels. Research design, data, and methodology - With 344 surveyed questionnaires, this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic value has more influence on the importance of empirical attribute than that of functional attribute in shopping malls. In addition, practical value has more influence on functional attributes than empirical properties of shopping malls. However, these relationships showed the difference in on/off-line channels. As for off-line channels, consumers' consumption values were more influential on empirical attributes, while functional attributes were more important in on-line channels Conclusions - This study analyzed the influence on the importance of the consumption values in store attributes, and the effects of each channel with suggesting practical implications.