• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.741-752
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• 2009

As a major obstacle to active online purchase at the level of consumer in China, distrust is raised in this study. Most of previous studies showed that trust is a major variable to cause a relational unity between company and consumer, on the other hand, this study attempts to show that according to the two dimensional point of view regarding trust each dimension of both trust and distrust distinctly contributes to marketing achievement. Interaction, perceived popularity, information usefulness, perceived security risk and perceived dealing risk were created as preceding variable, trust and distrust were constituted as parameter and relation absorption and purchase intention as consequential variable. These variables were analyzed with structural equation modeling (SEM) in LISREL 8.3 program. The results for this study are as follows. First, relation between exchange actors in marketing is divided into two concepts of trust and distrust differently from the previous studies. On the assumption that trust and distrust might exist simultaneously and they would distinctly have an influence on marketing consequency such as relation absorption and repurchase intention, it is identified that trust and distrust are a different dimension in online context. Second, the formative factor of online trust-distrust is identified and it is shown what relationship between internet shopping mall and relation absorption and foregoing purchase intention resulting from online trust-distrust exists. Third, it is shown that in online context the formative factor of online trust-distrust is distinctly contributed to relation absorption and repurchase intention. It is suggested that trust needs to be managed two-dimensionally separating from trust and distrust. Fourth, it is shown that both trust and distrust factor in terms of relation absorption and repurchase intention of consumer in internet shopping mall are significant variables. Trust is linked with repurchase intention through relation absorption, however, distrust is not directly linked with repurchase intention through relation absorption. Thus, the ripple effect of distrust appears to be much higher than that of trust.

• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.99-112
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• 2002

The purpose of this study was to examine characteristics of online consumer groups by information seeking type and to identify the variables influencing consumers'purchase intention of internet fashion product shopping by consumer groups. A questionnaire was administered to 456 adults who had purchasing experience at fashion outline shopping mall. SPSS 9.0 package was used for data analysis. Factor analysis, ${\chi}^2$-test, t-test, frequency, percentage, one-way ANOVA and stepwise regression analysis were utilized. The online store attribute dimensions of fashion online shopping main were tangibility, variety, marketing promotion, responsiveness, reputation, price and convenience. The online store attributes had directly different influences in the purchase intention of Internet fashion product shopping by online consumer groups. Outline information seeking type who had higher variety and reputation perceptions had more positively affected on the purchase intention of internet fashion product shopping. Offline information seeking type who had higher tangibility and variety perceptions had significantly positive influence on the purchase intention of it. Combination(online+offline) information seeking type who had higher price and responsiveness perceptions had positive impact on purchase intention of it.

• Journal of the Korean Home Economics Association
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• v.42 no.7
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• pp.103-118
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• 2004

The purpose of this study was to investigate the discriminative factors of on-line consumer satisfaction. Data were obtained from an online questionnaire survey with 1089 online shoppers who had the experience of either purchasing or visiting a fashion on-line shopping mall from the panel of an online survey agency(www.inr.co.kr) and 1049 responses were analyzed. For analysis of data, descriptive analysis, Cronbach's ${\alpha}$, $\chi$$^2$-test, one-wav ANOVA, Ducan test and stepwise regression analysis were applied. The results of this study were as follows: Firstly as a result of differences of purchasing experience and future purchasing intention via internet, 4 consumer groups were generated: internet patronizing group, trial and unsatisfied experience group, future purchasing intention group, and internet carelessness group. Secondly each group differences was found in demographic variables such as age, marital status, income and employment status. Croup differences were also found in personal, product, and store variables except tangibility. According to consumer groups, different factors were directly impact on consumer satisfaction.

• Proceedings of the Costume Culture Conference
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• 2003.12a
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• pp.29-44
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• 2003

최근 Online Shopping Mall의 확산으로 더욱 질 좋은 제품을 낮은 가격에 구매할 수 있게 됨에 따라 각 Fashion Brand들은 차별화 된 Marketing Strategy로 다양한 소비자들의 Needs를 만족시키지 않으면 성장은 말할 것도 없고, Brand의 생존에까지의 위협이 되는 상황이 되었다. 그리고 주기가 빠른 Fashion의 특성상 Fashion Brand들에서 이러한 현상은 더욱 심화되고 있다. (중략)

• The Journal of Bigdata
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• v.3 no.1
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• pp.1-12
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• 2018

Since the beginning of the first online shopping mall, BEST 100 is being provided as the core of all shopping mall websites. BEST 100 is greatly important because consumers can identify popular products at a glance. However, there are only studies using sales outcome indicators, and prior studies using BEST 100 are insignificant. Therefore, this study selected 11 online shopping malls and compared their main characteristics. As a research method, exploratory data analysis technique (EDA) was used by crawling the BEST 100 components of each shopping mall website, such as product name, price, and free shipping check. As a result, the total average price of 11 shopping malls was 72,891.41 won. Sales texts were classified into 8 categories by text mining. The most common category was the fashion part, but it is significant that the setting of the category analyzed the marketing text, not the product attribute. This study has implications for understanding the current online market flow and suggesting future directions by using EDA.

• The Research Journal of the Costume Culture
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• v.20 no.2
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• pp.195-207
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• 2012

In South Korea, the growth of online shopping malls that are overtaking traditional offline distributors in sales requires the latter to concentrate on developing a variety of contents amidst the ever-changing and competitive market environment. First of all, attention should be paid to information on fashion item materials. This study examined the current status of online shopping malls with a focus on their three different types-specialized malls, general malls, and open markets-and investigated consumers' hedonic shopping motives and influence on fashion materials in terms of purchasing behavior. In doing so, this study surveyed men and women in their 20s-30s residing in Seoul or its surrounding cities and used a total of 255 questionnaires for statistical analysis. The statistical software program SPSS 15.0 was used to conduct frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The study results showed that in general and specialized shopping malls, consumers granted greater reliability and importance to fashion materials when their interest in shopping or attention to fashion items/brands was high and when they wanted rare items. In open markets, the more interest consumers had in shopping and the more sensitive they were to fashion information, the more dependent they were on prices; in other words, prices were found to have a greater influence on their purchase decisions than the quality of fashion materials. The findings of this study would be useful to marketers and distributors who are trying to develop their marketing strategies based on fashion material information, according to the different types of online shopping malls.

• 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 the Korean Society of Costume
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• v.63 no.7
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• pp.109-120
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• 2013

The purpose of this study is to find out the various impulse buying factors which influence the emotion of regret in the internet purchase of fashion products and to measure the differences of regret solution efforts according to impulse buying consumer types. This study surveyed females in their 20s~40s for empirical analysis in August 2012, and it targeted women who have experienced impulse buying of fashion products in the internet mall. 297 subjects were collected for the data, and they were subjects who were selected through online convenience sampling. This study surveyed females in their 20s~40s for empirical analysis in August 2012 who have ever experienced impulse buying of fashion products in the internet mall. Data were collected for 297 subjects who were selected through online convenience sampling. For statistical analysis, descriptive statistics, factor analysis, regression analysis, cluster analysis, and ANOVA were carried out using SPSS for Windows 12.0. The results of this study are as follows. First, it was identified that impulse buying by refreshing, accidental, promotion, recommendation stimulus have significant influence on the regret of consumer after impulse buying. Second, there are significant differences in the factors of impulse buying which influence the regret according to the impulse buying products and the shopping malls. Third, there are significant differences in regret relieving behavior according to the impulse buying consumer types. This study will help internet shopping malls to find out the action plans to handle consumers' regret from impulse buying.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.793-806
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• 2015

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.

• 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.