• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.785-796
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• 2008

The Open-Market internet shopping malls has rapidly been growing over the past few years. Thus, this study compares Meta-Mall and Open-Market, as well as evaluates image factors of the internet shopping mall in order to verify different levels of influence on customer satisfaction and revisit intentions. The subject of stud was made for students enrolled in colleges in the Busan area, using this Data collection method. Data were gathered using a questionnaire and through personal interviews from a sampling made from May 1 to May 8, 2008. The final 337 accomplished questionnaire forms were used for the subsequent analysis. The results of the substantial analysis are as follows. First, the following factors affect the image of internet shopping malls: assortment of goods and information service, site design, convenience, reliability of goods and information, and customer service. In Meta-Mall, these same factors, except customer service, were found to influence customer satisfaction, while in Open-Market, all the five factors were found to influence customer satisfaction. In Open-Market, convenience and reliability of goods and information had especially high levels of influence on customer satisfaction. Second, customer satisfaction with Internet shopping malls was found to influence the intentions of the customers to make a revisit. The result of the study shows that the factors of shopping mall image between Meta-Mall and Open-Market are perceived differently by their customers, and differences were found in the levels of their influence on customer satisfaction.

• 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.

• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.135-146
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• 2002

The Purpose of this study was to identify the sensibility elements and the evaluative dimensions of internet fashion shopping mall to supply optimal experience to the customer. First, association words for internet fashion shopping mall by open-ended method and sensibility-expression-adjective feeling as navigating personally 57 shopping mall dealing with fashion products were collected. Collected adjectives were ranked after making index by frequency and diversity. Then, correlation analysis was executed to extract independent adjective and their opposite words. Semantic differential scale was made for internet-fashion-shopping-mall-evaluation. After preliminary investigation with this scale, factor analysis was implemented. 12 sensibility evaluation words were extracted. Then, 200 subjects evaluated satisfaction degree for 8 selected shopping mall. To explain the hierarchy of internet fashion shopping mall, cluster analysis was applied. The understanding of sensibility element and evaluative dimensions of internet fashion shopping mall can be utilized efficiently as basic materials when marketer plans internet shopping mall design and makes marketing strategy.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.161-176
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• 2012

This study aims to find out the influence of satisfaction of the product and shopping mall attributes on mall reliability, repurchase intention, and recommendation intention in internet open market. For this purpose, this study surveyed 266 male and female consumers in their 20's~40's for empirical analysis who have ever purchased clothing through internet open markets. Respondents are selected using the convenience sampling through online survey in August 2011. For statistical analysis, descriptive statistics, reliability analysis, factor analysis, t-test, ANOVA, and regression analysis are carried out using SPSS for Windows 12.0. The results are as follows; First, it was identified that there were Significant differences in consumers' satisfaction on product and shopping mall attributes according to purchase price, degree of purchase, and the demographics. Second, it was identified that performance, sewing condition, the stability of the form, texture, harmony with other clothes, the response of people, fashionability, seller, origin, detailed explanation on products, interaction with shopping malls, and ease-of-use have significant influence on the reliability of open market. Third, it was identified that easiness to be active in, the stability of the food, design, suitability to T.P.O, price, origin, detailed explanation on products, product assortment, reputation of shopping malls, ease-of-use, and delivery charge policy have significant influence on the repurchase intention. Fourth, it was identified that easiness to be active in, the stability of the form, design, suitability to T.P.O, price, origin, detailed explanation on products, product assortment, reputation of shopping malls, ease-of-use, and delivery charge policy have significant influence on the intention to recommend.

• Journal of Fashion Business
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• v.18 no.1
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• pp.118-131
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• 2014

The purpose of this study is to classify the service recovery fairness of internet fashion shopping mall depending on the type of shopping mall into 3 levels, and analyze their influence on customers' satisfaction and intention to repurchase. Data were collected from 271 customers who had made a complaint or raised a question about service among the customers, and was analyzed through AMOS 7.0. For hypothesis testing, a research model was set up in the form of structure equation model, and its suitability was investigated. The results of this research can be summarized as follows: First, in relation to the service recovery fairness at internet shopping mall, only the consequential fairness has a meaningful relationship with customer satisfaction. Second, it has been shown that the higher the customers' satisfaction with internet shopping mall, the more positive influence it has on intention to repurchase. Third, it has been shown that the influence of service recovery fairness on customers' satisfaction and intention to repurchase has a meaningful difference depending on the type of internet shopping mall. In other words, it has been shown that customer satisfaction is higher at open market than general internet shopping mall. In addition, it has been shown that in open market, only the consequential fairness has a meaningful influence, therefore it will be more effective to strengthen a strategy focused on economical rewards than other fields.

• The Journal of Information Systems
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• v.13 no.2
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• pp.1-22
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• 2004

Internet commerce has the potential to propel a company to "break out" of existing strategic constraints and radically alter business processes, strengthen customer and supplier ties, and open up new markets. Therefore, many firms have rushed into internet commerce to conduct business more efficiently, create new business opportunities, and generate business value. Since internet shopping mall not only become a valuable channel for selling goods to customers, but also offer companies an important vehicle for attaining competitive advantages in the new digital economy, the design and content of internet shopping mall must reflect its business goals and customers' needs. However, as little empirical evidence on the effect of internet shopping mall contribution of firm performance exist, the functionality of a firm's internet shopping mall has been decided voluntarily from its business experience. The purpose of this study is to examine the relationship between the marketing functional characteristics of internet shopping mall and its performance. 125 questionnaires from internet shopping malls which sell physical goods direct to an individual end consumer were collected. The results showed that some factors(price, product recognition, reliability enhancement) affect positive effects on the performance of internet shopping mall.

• Korean Management Science Review
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• v.17 no.3
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• pp.131-145
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• 2000

With the explosion of internet users, there are many enterprises and organizations that regard the internet as the great marketing superhighway. Although fascination and speculation surrounds the impact of the cyber shopping mall on consumer shopping behavior, there is little empirical evidence underlying all this speculation. This article reports on the critical issues that consumers found salient as they browsed through cyber shopping malls. We gathered consumers’reactions via open-ended survey. We relate the reactions to the factors of tangibility, assurance, responsibility, empathy, and reliability which we had identified from the existing literature on service quality. Two additional questionnaires were administered to translate these factors to the cyber shopping mall context and to explore their relative salience. We also evaluated SERVQUAL and SERVPERF as service quality measures for cyber shopping malls. The results show that SERVPERF seems more promising than SERVQUAL. The results also suggest that cyber shopping mall merchants need to think more about how they perform on the issues known to affect customers’decision making for purchasing. We offer advice for enhancing the design of cyber shopping mall.

• Journal of Fashion Business
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• v.21 no.1
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• pp.124-133
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• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.543-553
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• 2013

This study analyzes the influence of price, product and promotion on clothing impulse buying according to internet shopping mall type. This study conducted a survey of 346 male and female consumers in their 20s-40s who have experienced clothing impulse buying from an internet shopping mall. Respondents were selected using convenience sampling through an online survey conducted in August 2012. For statistical analysis, descriptive statistics, reliability analysis, $X^2$-test, factor analysis, and regression analysis where carried out using SPSS for Windows 12.0. The results were as follows. First, there were significant differences for consumer gender, age, marital status, and education on clothing impulse buying according to shopping mall type. Second, there were differences for the influence of each component (price, product and promotion) on clothing impulse buying according to shopping mall type. Third, it was identified that influence of components (price, product and promotion) on clothing impulse buying were in the following order: low price, freshness, prize promotion, scarcity, open market price discount, prize promotion, freshness, fashionability, low price in general shopping malls, payment term benefit, freshness, and scarcity in fashion SOHO shopping malls. This study provides information for consumer management and promotion strategies according to each shopping mall type by understanding clothing impulse buying by consumers and factors according to shopping mall type.