• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1618-1625
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• 2006

The purposes of this study were 1) to identify dimensions of fashion lifestyles of men of digital generation and online shopping mall service attributes, and 2) to find factors affecting general satisfaction and intention to purchase at online shopping malls. Data were obtained from 632 men aged between 15 and 39 who were using the internet. Fashion lifestyles produced five factors, fashion leadership, shopping enjoyment, brand pursuit, personality pursuit, and practicality pursuit. Internet service attributes included three factors, check-out service, after delivery service, and product presentation service. Significant determinants of general satisfaction were after delivery service, check-out service, product presentation service, and purchase experience in order. For intention to buy, after delivery service, check-out service, product presentation service, purchase experience, practicality, and household income level in order were significant. Finally, general satisfaction of purchase was a useful determinant of intention to buy. Implications were given for improving internet shopping mall services from the perspective of online fashion mall marketers.

• Journal of Fashion Business
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• v.13 no.6
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• pp.20-30
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• 2009

The purpose of this study is to develop the effective customized elderly fashion marketing process based on the web site, where older customer will be able to choose various fabrics and to try them out. This aims to establish new prototype of internet shopping mall for customized elderly fashion clothing. In this study, new method of product presentation on the online shopping mall is proposed to offer product information through 3D virtual reality. With the online shopping mall(SATC Mall) as a showcase, we presented virtual mapping system so that it enable the customers to select the fabrics and to see exactly how chosen fabric will look when applied to image of clothing. As an initial test of the application of simulation to measure 3D visualization of product, mapping software Vision Easy Map Pro Version 6.0(NedGraphics) Vision Easy Map Viewer Version 5.0(NedGraphics) were chosen and applied. By using this mapping system, the fabric change of the apparel product could be made on the internet shopping web site. However, this approach has been successful applied for presenting and customizing garment products. Future research will focus on the integration of mapping coordination into SATC Mall.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.765-774
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• 2010

This study investigates the effects of consumer innovativeness on e-loyalty mediated by shopping mall attributes and consumer satisfaction with the Internet. Data were obtained from 243 consumers who had bought fashion products through online shopping. Data were analyzed by using factor analysis, Cronbach's alpha, and path analysis using LISREL 8.53 program. The results of this study suggest that the consumer innovativeness, such as Internet-innovativeness and Fashion-innovativeness affect shopping mall attributes including Loading, Visual, Information, Variety, and Price/Fashion. These attributes and the shopping mall satisfaction partially mediated the impact of consumer innovativeness on e-loyalty of shopping malls through the Internet. Especially, consumer satisfaction was the most important determinant to build up e-loyalty for the online shopping of fashion products. The findings provide implications for e-retailers to develop strategies related to consumer innovativeness, shopping mall attributes, and the e-loyalty of shopping malls for fashion products.

• Journal of Distribution Research
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• v.14 no.1
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• pp.27-44
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• 2009

This research classified the customer service factor of on-line shopping mall into tangibility, reliability, responsiveness, and empathy and analyzed the effect that the factors affect to consumer's purchase and re-purchase. If we present suggestions on the basis of these results of study, we would provide next two points: First, purchasers have utilized online shopping mall who pursued free from hard sell that being done in off-line and convenience of purchase affected more by reliability and responsiveness such as the fame of shopping mall that visit, reliability of security, and quick product search than the Customer of After-purchase Feedback influence for online purchasers decision factor out of consumer's purchase and re-purchase by on-line shopping mall customer service factor. Second, This study analyzed that online re-purchaser recognized the Customer of After-purchase Feedback factor high and built their loyalty through friendly emotion of on-line shopping mall and satisfaction of shopping mall service, and recommendation. In addition, they behave themselves as an affirmative messenger that is role of the Customer of After-purchase Feedback that make active opinion presentation and participation through community by important adjustment impact that empathy factor of on-line shopping mall customer service.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.95-107
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• 2005

As online shopping malls have emerged as a substantial shopping channel, they have used various sales promotion strategies to acquire new customers. Most of these strategies have been applied by offline malls for years. One, loss-leader pricing, is a type of promotional pricing in which stores sell well known products below their marginal cost, in order to attract customers and induce them to purchase more goods through impulse buying. This strategy is based on the expectation that customers will factor transaction costs into their purchasing decisions. However, its application to online malls fails to recognize that transaction costs are lower online, and that customers will behave differently as a result. Our study predicts that loss-leader pricing will not work online because online malls entail lower searching and moving costs than offline malls The study examines the effectiveness of loss-leader pricing with empirical data from a survey as well as log data from a Korean online shopping mall. The results show that while loss-leader pricing does attract customers to online shopping malls, it encourages cherry-picking rather than impulse purchases of regular-price goods.

• CRM연구
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• v.4 no.2
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• pp.19-29
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• 2011

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems.

• Journal of the Korean Society of Costume
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• v.66 no.4
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• pp.32-44
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• 2016

The purpose of this study is to examine the cognitive responses and the corresponding behavior responses of consumers who have experiences in not being able to buy a product in an online shopping mall due to it being sold-out. Responses were gathered from 526 consumers between the ages of 20 to 40 years residing in a metropolitan area. Each person surveyed had experienced a situation in which a product that they wanted to purchase from an online shopping mall was sold-out. SPSS 18.0 was used to perform frequency analysis, factor analysis, reliability analysis, and regression analysis. The first set of results of this study showed positive responses of quality, discernment, scarcity, but also negative cognitive responses of careless management, manipulation of shopping mall management, and common taste. In negative cognitive responses, sold-out situations caused consumers inconvenience. The second set of results revealed that quality, discernment, and careless management had a significant effect on product replacement (Substitute, S); likewise, factors such as quality, discernment, careless management, manipulation by shopping mall designers, and common taste had a significant effect on the delay of purchasing decisions (Delay, D). Scarcity, careless management, manipulation by shopping mall designers, and common taste also demonstrated significant influence on the incomplete leaving of stores (Incomplete Leave, L1), while discernment, scarcity, careless management, manipulation by shopping mall designers, and common taste had a significant influence on the complete leaving of stores (Complete Leave, L2). Previous studies have examined the behavioral response topics of substitute, delay, and leave. These study results suggest that product sellouts at online shopping malls did not have a solely negative effect on consumers. It actually had a positive effect in terms of discernment, scarcity, and the perception of quality of sold-out products. Furthermore, both positive and negative cognitive responses had various effects on behavioral responses.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.2
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• pp.155-166
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• 2007

The purpose of the research is to provide the operation plans of internet marketing for effective application as marketing tools by analyzing the application status of marketing mix through the 30 websites of sportswear brands. Firstly, a study on the marketing mix strategy of sportswear brands presents that most brands put a high priority on promotion strategy by achieving online marketing. Secondly, compared with the other company brands which have online shopping mall, the website of sportswear brands consists of centered brand image. Therefore, based on the analysis about the variety of products and merchandise picture in each item and detailed information offer of neo-products introduction, marketing mix is insufficient in the website of sportswear and the price strategy has the least information. After website of sportswear brands is connected with online-shopping mall, guidance for its price and product is performed mainly. Consequently the sales promotion strategy of price needs development through the incentive and discount price. Promotion strategy occupies more parts than any other strategy. Especially, it allows a high proportion of the variety of events and information for the customer services. Also it needs to improve its bulletin board and Q&A board on the website for better communication with customers. Furthermore distribution strategy focuses on information such as location, contact numbers and address of the online shopping mall. Although online shopping mall has its own advantage which is marketing on the internet, it is not yet in progress.

• 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.

• International Commerce and Information Review
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• v.11 no.1
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• pp.67-92
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• 2009

This study investigates the relationship between Culture and online trust in three cultural dimensions: individualism, collectivism and long term orientation. For this purpose, this study proposes the empirical hypothesis to test the implication of the proposed model. The results are as follows. First, the purchase intention is influenced by the online trust in statistical sense. Second, the relationship between Culture and the antecedents of online trust are statistically established in three cultural dimensions: individualism, collectivism and long term orientation. The direction of future research is to develop the more refined hypothesis to test the empirical model in the field of on line trust and culture.