• The Journal of Information Systems
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• v.12 no.2
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• pp.151-163
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• 2003

This research studied E-Biz strategy based on the types of internet shopping-mall and user group. This study classified types of internet user into suffer group, searcher group, and confusion group according to navigation characteristics. The types of internet shopping-mall were divided into total directed mall, total mediated mall, special directed mall, and special mediated mall. The empirical study revealed that the intention of purchase has positive relationship with the assurance of e-SERVQUAL. Mediated type shopping-mall had higher market share than directed type in the use of internet shopping-mall. Suffer group was the target market of total mediated shopping-mall. Users of this group considered importantly the trust of e-SERVQUAL. Searcher group targeted special mediated shopping-mall. They had significant consideration to the responsiveness of e-SERVQUAL. Confusion group targeted direct shopping-mall. These groups had important consideration to the assurance of e-SERVQUAL.

• 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.

• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.720-731
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• 2009

The current study investigates the customer's perceived interactivity, perceived trust, and flow of the Internet shopping-mall. The TAM(Technology Acceptance Model) was applied to see the effect on the individual's attitude toward the shopping-mall via purchase intention. To fulfill the study objectives, a total of 806 questionnaires were distributed to the customers with first-hand experience with fashion merchandise in Internet shopping-mall. The judgement sampling method was employed on sample population ages from 20's to 40's over one month period. The result showed the following. First, the perceived interactivity had an effect on perceived trust, usefulness, Flow in all shopping mall types. but there was no effect in the relationship between the two-way Interactivity and the perceived usefulness in the Specialty Internet Shopping-mall model. Second, perceived trust and Flow had an effect on perceived usefulness in all shopping mall types. Third, perceived trust, usefulness and Flow had an effect on the attitude toward shopping-mall in all shopping mall types. Forth, perceived trust, usefulness, Flow and attitude toward shopping-mall had an effect on purchase intention of fashion merchandise in all shopping mall types.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.9_10
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• pp.1036-1047
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• 2003

This study was carried out in the purpose of proposing internet marketing strategy which can make conversion rate higher through analysis of internet shopping behavior types. This study was executed in two stages; qualitative study, quantitative study. In the qualitative study, internet shopping behavior types were investigated through the In-depth interview and direct observation, and then in the quantitative study, differences of internet shopping behavior types according to consumer characteristics, product properties and shopping-mall types were examined. For qualitative study, 30 samples by focus sampling were inquired and for quantitative study, 334 data were collected through web survey. The results of this study are as follows: First, 7 Internet shopping behavior types of apparel were found through the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation, recreation-oriented. Second, in relation to consumer characteristics, consumers that have many internet purchase experiences showed goal-directed behavior more and female did more special low price purchase behavior and impulse purchase behavior than male. Third, according to product properties, high price product led more cautious purchase by price comparison & prepurchase deliberation behavior and fashionable product led more information-searching behavior. In the case of low price and fashionable products, impulse purchase behaviors were showed more. Forth, according to Internet shopping mall types, category killer shopping mall visitors showed information search behavior, recreation-oriented behavior more.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.11-20
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• 2004

The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

• The Journal of Society for e-Business Studies
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• v.3 no.1
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• pp.95-115
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• 1998

The growth of the internet shopping mall has led to a critical mass of consumers and firms participating in a global online marketplace. This study is devoted to providing a conceptual framework for describing and analyzing the characteristics of internet shopping mall. We proposed a model which classifies internet shopping mall into four types, including (1) general intermediary (2) general direct-sales (3) specialized intermediary (4) specialized direct-sales. Our framework facilitates greater understanding of the internet shopping mall as commercial medium and allows examination of internet shopping mall in terms of the opportunities and challenges firms facing online business.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.9_10 s.146
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• pp.1285-1294
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• 2005

This study was fulfilled in the purpose of proposing construction strategies of Internet shopping-mall through the analysis of consumer moving line in Internet shopping-mall. This study was executed in two stages: theoretical study, qualitative study. In the theoretical study, hypothetical Internet shopping behavior model were constructed. Five internet shopping behavior types of apparel : purchase, searching purchase, prepurchase deliberation, information accumulation, opinion leadership and recreation were constructed. Next, consumer decision process were extracted from previous studies and a hypothetical internet shopping behavior model was constructed on the base of consumer decision process and Internet shopping behavior types. And then, through the qualitative study, Internet shopping behavior types were identified and hypothetical model was confirmed after adjustment. For qualitative study, 30 subjects were sampled by focus sampling and investigated by in-depth interview and observation. Seven internet shopping behavior types of apparel were found by the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation and recreation-oriented. On the base of these behavior types, Internet shopping behavior model was adjusted and completed. Finally, according to the results of this study, Internet shopping construction methods that made customer's loyalty high and marketing strategy of Internet shopping-mall were proposed.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.38-45
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• 2010

Cosmetics retailers would benefit from studies that examine which shopping-mall attributes can be manipulated to favorably affect consumer satisfaction and revisit intention at Internet. The purposes of this study were (1) to examine the dimensionality of shopping-mall attribute for cosmetics retailers, (2) to determine which dimensions of shopping-mall attribute were significant predictors of consumer satisfaction and revisit intention and (3) to find out the moderating effect of consumer satisfaction through shopping-mall attributes on revisit intention to buy cosmetics across the types of shopping-mall at Internet (i.e., total mall and specialty mall). Data were collected from 209 online cosmetic shoppers among high school girls. Factor analysis identified five dimensions of shopping-mall attributes at Internet, such as Convenience, Price, Loading speed, Sales promotion, and Service. Only two dimensions(i.e., convenience and service) were significant predictors of online shopper satisfaction in both total mall and specialty mall. The moderating effect of consumer satisfaction on revisit intention was significant in both two mall types at Internet. For total mall, price was a significant predictor through consumer satisfaction on revisit intention, while loading speed was a significant predictor directly on revisit intention for specialty mall. In light of the major findings, this study sets forth strategic implications for consumer satisfaction and revisit intention to buy cosmetics in the setting of electronic commerce.

• The Research Journal of the Costume Culture
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• v.13 no.4 s.57
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• pp.564-575
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• 2005

The purposes of this study were to investigate the effects of shopping orientation on fashion shopping mall environments and purchase intention in internet fashion shopping mall. Data were obtained from 423 internet fashion shopping mall consumers who have experiences of buying products or visiting to internet fashion shopping mall in Busan, and were analyzed using by factor analysis, Cronbach's alpha, cluster analysis, ANOVA and Duncan test. The results showed shopping orientation perceived by Internet fashion shopping mall consumers were consisted five factors: Brand loyalty orientation, Economical orientation, Fashion orientation, Time saving orientation and Internet shopping orientation. Internet fashion shopping mall environments were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service, and Help desk. Consumers were classified by the shopping orientation into the Economical shopper, Fashion/brand shopper, and Convenience shopper. Economical shopper and Fashion/brand shopper rise in the estimation of Visual information, Product assortment, and Checkout service of shopping mall environment. Additionally, they were likely to have more intentions to purchase than the other types of shoppers in internet fashion shopping mall.

• Fashion & Textile Research Journal
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• v.3 no.3
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• pp.249-256
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• 2001

This study was to investigate difference across socioeconomic groups in factors of purchase intention of apparel in internet shopping mall and in satisfaction were internet shopping mall. A questionnaire was administered to collage students majoring in fashion design during May of 2001. Data was analyzed by using Factor analysis, T-test, one-way ANOVA, Duncan test, ${\chi}^2$-test. Factor analysis yield three factors of purchase intention, purchase stimulus, convenience and economic and rationality. Significant differences were found across levels of monthly pocket money and types of payment for purchase apparel of internet shopping mall purchase stimulus (factor 1). In convenience and economics (factor 2), differences were also significant across levels of purchase frequency, product price and payment ways of internet sopping mall. Significant difference was identified across sex type and levels of product price purchased in internet shopping mall (factor 3). Regarding internet shopping mall satisfaction, differences were significant across levels monthly pocket money and apparel purchase frequency of in internet shopping mall.