• Journal of the Korean Society of Costume
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• v.57 no.3 s.112
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• pp.78-89
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• 2007

The objectives of this research were to investigate the relationships between purchase motives and post-purchase satisfaction of cosmetics at internet shopping malls, and to reveal how cosmetic purchase motives and demographic variables influence to the post-purchase satisfaction. Subjects were 202 females in Seoul who had experiences of cosmetic shopping at internet. Five dimensions of cosmetic purchase motives at internet shopping malls were derived by factor analysis: 'information provision', 'service/quality', 'time saver', 'use convenience', and 'economical efficiency'. Consumers showed relatively high cosmetic purchase motives at internet shopping malls because the prices of on-line shopping mall products were cheaper than those of off-line, and because it was easy to compare various products at internet shopping malls. The motive of 'information provision' had significant positive relationships with the satisfaction of price, quality, color, volume, and skin suitability of cosmetics. The motive of 'time saver' and 'use convenience' had positive relationships with the satisfaction of price and quality. The motives of 'service/quality' and 'use convenience' were higher in career women than in college women. The middle class consumers and the consumers who use internet more had a high 'information provision' motive in shopping cosmetics at internet. The post-purchase satisfaction of cosmetics was influenced most by the experience postscripts and next by economical efficiency, frequency of access to the internet cosmetic malls, and social class(-) in order.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.766-776
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• 2008

The purpose of this study was 1) to identify the reasons for delay of decision making and the shopping information in internet shopping, 2) to classify consumers based on the clothing benefits, 3) and to examine the differences among consumer groups in the reasons for delay of decision making and the shopping information. The data were collected from a sample of 500 internet shopper aged from 20 to 40. This study used factor analysis, multiple regression analysis, Pearson's correlation analysis, cluster analysis and ANOVA. The results showed that the reasons for delay of decision making consisted of eight factors: Performance risk, Comparison shopping, Economic shopping, Social risk, Uncertainty, Expecting of market change, Product unsatisfaction, Passive shopping. The shopping information consisted of three factors: Product variety, Product information, Additional information. Five factors of clothing benefits were Economy, Figure compensation, Social position, Individuality, and Comfort. The respondents were classified into four groups by five factors of clothing benefits; Individuality seeking group, Low-benefits seeking group, Economy seeking group, Figure compensation/comfort seeking group. There were significant differences among groups in the reasons for delay of decision making and the shopping information among groups. Therefore, marketers need to provide different shopping information for delay closure by target groups.

• International Commerce and Information Review
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• v.8 no.1
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• pp.3-13
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• 2006

To develop and validate an instrument to measure user satisfaction in Internet shopping environment, the EUCS instrument by Doll and Torkzadeh (1988) was used for this research. The results of the study shows how the main constructs of the model that will eventually interact for the user satisfaction in internet commerce environment. This research will present significant progress towards keeping the End-User Computing Satisfaction instrument relevant and applicable under the Internet shopping environment.

• Journal of Fashion Business
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• v.8 no.5
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• pp.136-143
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• 2004

The purpose of this study were to examine 1) the relationship between internet addictive and addictive buying behavior, and 2) addictive purchasing behavior according to internet addictive levels. 220 female college students, who had purchased fashion products through internet were surveyed for this study. For data analysis, descriptive statistics, $X^2$-test, ANOVA, Duncan test, and multiple regression were used. As the results, generally Internet addictive tendency was correlated to compulsive buying, shopping addictive, credit card addictive, self-esteem, and internet flow. Also, there were significantly differences in internet addictive levels with addictive buying behavior. That is, heavy internet addictive group had more shopping addictive, compulsive addictive, and internet flow than middle internet addictive group and light internet addictive group. Also, results revealed that compulsive buying, shopping addictive buying, internet flow and self-esteem accounted for 27.3% of the explained variance in internet addictive tendency. Based on these results, fashion marketing strategies would be suggested.

• Journal of Distribution Research
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• v.12 no.4
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• pp.27-47
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• 2007

Using survey data and the Heckit model that adequately controls the sample selection bias, we analyze shoppers expenditure through two major emerging shopping channels: Internet shopping and TV home shopping channels. Age, Internet experience, daily Internet usage, the number of computers are factors that affect the ratio of consumers' expenditure through Internet shopping relative to the expenditure through TV home shopping. Shopping frequency which represents the shoppers' incentives to reduce transaction costs also has a positive effect on the proportion of shoppers' expenditure through the Internet shopping. Shoppers' perceptions of convenience, reliability, speed, and diversity are also shown to affect shoppers' relative expenditure ratio through Internet shopping. In contrast, shoppers' perception of prices does not seem to affect their purchasing behavior.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.391-400
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• 2011

Internet shopping malls for fashion products(e.g., apparel, cosmetics and accessory) may become a major player with a promising future because of its tremendous growth in e-commerce. In addition, the fashion market has been segmented by various types of shopping malls on the internet. For many types of internet shopping malls, literatures give us numerous types, such as general mall, specialty mall, open-market, mall-in-mall, department-mall, brand-mall, and a specialized category mall, etc. Although each mall specializes in different activities, a unified categorization with managerially meaningful implications has not been made. This paper aims to explore criteria of internet shopping malls based on previous research related to shopping mall types for fashion products. The results found that internet shopping malls for fashion products were classified based on physical space, openness of the mall, number of companies, method of profit, specialization of products, number of product categories, and brand products dealt with. Internet shopping mall for fashion products was classified into online malls versus online malls versus offline mall, open mall versus closed mall, single mall versus multi mall, retail-trade mall versus syndicated mall, general mall vs specialize mall, one-product category mall versus multi-product category mall, and brand mall versus non-brand mall. These findings could offer an important contribution in research and practice, and an insight into developing appropriate strategies for effective fashion shopping mall management related products.

• Asia Marketing Journal
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• v.10 no.1
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• pp.133-160
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• 2008

The purpose of this study was to identify the effects of the delay reasons in consumer decision making on experienced emotion and shopping mall satisfaction under the Internet shopping environment. A survey was conducted for this study and 500 answer sheets were analyzed using structural equation modeling. The results are as follows: First, performance risk, financial risk, and social risk significantly have a positive effect on negative emotions for Internet shopping. Second, performance risk has a significant negative effect on positive emotions for Internet shopping. Third, social risk and procedural uncertainty significantly have a positive effect on positive emotions and this shows these reasons are related to pleasure and fun. Forth, needs uncertainty has a negative effect on negative emotions for Internet shopping. Finally, positive and negative emotions that consumer experienced for Internet shopping affect Internet shopping mall satisfaction.

• The KIPS Transactions:PartA
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• v.19A no.4
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• pp.195-204
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• 2012

M-commerce services are rapidly emerging with recent advances in mobile devices and wireless communications. Internet Shopping mall managers provide mobile phone users with their mobile shopping malls for m-commerce. However, these mobile shopping malls usually have their own sites which are not compatible with their Internet shopping malls, thus resulting in inefficiency to manage the two kinds of shopping malls. In this paper, we develop a M-commerce content provider system to effectively bring Internet shopping malls to mobile phones by extracting items only concerned to users from product documents. We then apply and evaluate the system over a specific internet shopping mall site. The results show that the system reduces considerably the amount of data transferred to user's mobile phones compared with using general web browsers.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1527-1537
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• 2010

The Internet has the potential to create new channels that might be beneficial to fashion consumers. This study examines the effects of consumer involvement and Internet behavior in on-going Internet information searches through the young female generation. For the practical research, the survey was conducted from June $15^{th}$ to July $15^{th}$ 2009. Data was collected in a total of 368 questionnaires from female university students in their 20's and analyzed 300 questionnaires with SPSS 12.0. The results were as follows. First, clothing involvement, fashion involvement, internet involvement, and Internet shopping interest had been considered as antecedents of on-going Internet information search behavior. Second, clothing involvement and Internet involvement significantly affected Internet shopping interest. However, fashion involvement and Internet involvement showed direct paths to on-going Internet information searches. Third, there were significant effects in Internet shopping interest and on-going Internet information searches. Forth, the respondents were segmented by two groups according to the level of ongoing information searches. These segmented two groups were different in regard to clothing shopping behaviors and impulse purchase behaviors.

• Journal of Information Management
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• v.42 no.2
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• pp.211-234
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• 2011

The development of information technology improves the globalization of the world economy. This change was able to expand the cyber space, and the online community known as the cyber community is made within the existing offline community. From the cyber community's activity, the concept of social network services created, and recently developed social computing. Social computing is the current situation and the next step in the online community. Currently, most CIOs are using social computing for workplace empowerment. As online transactions become more active, the strategy to increase customer loyalty in Internet shopping is an effective tool to increase profit for the company, and as a method to maintain competitive. With the growth of electronic commerce, through insurance of customer loyalty on the Internet, a company can establish a long-term relationship with customers, so for this, it is important to have reliable relationship with customers. Also, through advertisement and commercial information, the cognition of Internet shopping looks can be effective in retaining customers. In this study, it explores how social computing and trust and cognition of Internet shopping are effective in maintaining customer loyalty. As the result of study, the trust and cognition of Internet shopping are significantly effective on customer loyalty, but the sense of social computing. Still, social computing has not matured enough to be as effective in retaining customer loyalty. However, it does indicate that social computing has significantly increased the trust and cognition in Internet shopping. In this study, as the concepts of the social network service and social computing are applied in Internet shopping, which are actively discussed by scholars, it is expected that the basis of the study could improve and present the idea of social shopping.