• 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 Information Technology Services
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• v.17 no.2
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.688-698
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• 2009

The market for Internet fashion/coordination shopping malls has been enormously increased year by year. However, online shoppers feel inconvenient because most of Internet shopping malls still rely on item classifications by category and do not provide the functionality in terms of which shoppers can find clothes they want. In an effort to build a fashion/coordination system for women's dress adopting the Heuristic-based method, one of the Context-based methods, we present a method for defining characteristics of a woman's dress as attributes and their inheritance relations, which can be input by a product manager. We also compare and analyze various methods for recommending the most similar clothes.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.93-110
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• 2017

This study aims at classifying and analyzing the business models of reverse overseas direct purchasing through online shopping-malls. After analyzing the current status of the reverse overseas direct purchasing online markets, this study identifies relevant critical business factors and synthesizes prior studies to construct and analyse the business models. This study proposes that the business models can be classified into five types according to the operation modes and three types according to the delivery methods. So theoretically 15 business models can be identified. For each business model this study analyzes the characteristics and the pros & cons. It also suggests deployment strategies for companies by considering cost reduction, brand establishment, customer management, customer aquisition, and easiness from the business perspective. From the customers perspective, cost reduction, reliability, royalty, ease to purchase, and accessibility can be considered according to the types of operation mode. The main contribution of this study is to provide the basic classifications and structures of reverse overseas direct purchasing business models systematically. As the result, our study evaluates the business models that which one is better than others in a situation in terms of company and customer. Lastly, we talk about limits and future prospects of the study.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.11-22
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• 2012

As the consuming pattern is changing with the expansion of Internet use and the development of communication technology, Internet shopping market is getting bigger and bigger. By product group, clothing and fashion related products occupy the biggest share. Accordingly, in this study it was tried to identify the effects of Internet utilization capability that enables consumers to search for the information that they need in this information flood, variety pursuit trend and product review accommodation status on shopping value, and to analyze the effects of the shopping value on the purchase behavior in online shopping malls. When factor analysis is nude on Internet use level, it was found that Factor 1 was 'Flow Experience,' Factor 2 'Internet Use Capability,' and Factor 3 'Internet Challenge Desire.' When factor analysis is made on Diversity Pursuit Propensity, it was found that Factor 1 was 'Site Diversity Pursuit Propensity,' Factor 2 'Brand Diversity Pursuit Propensity,' and Factor 3 'Brand Value Pursuit Propensity.' When factor analysis is nude on Product Review Accommodation Propensity, it was found that Factor 1 was 'Product Information Provision Propensity,' and Factor 2 'Product Information Receiving Propensity.' Except Internet Use Capability and Product Information Provision Propensity, all other factors showed high correlation. The factor influencing the entertainment value most was Internet challenge desire, while that influencing the practical value most was flow experience. When the effects of the entertainment value and the practical value on product purchase were analyzed, it was found that both of entertainment value and the practical value influenced product purchase and the practical value influenced the product purchase more than the entertainment value.

• Journal of the Korea Computer Industry Society
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• v.2 no.12
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• pp.1495-1504
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• 2001

The main purpose of this research is to show Internet shopping mall the strategic way with the analysis of success factors in Internet shopping malls. To achieve the above purpose, the success factors and variables were defined by the survey of the reference. Sample malls for the research un selected of shopping malls registered in yahoo, Lycos, Empas and Hanmir regardless of their type and class, and did an online-survey of their operation. From the above method, the following results are deduced. First, there are five factors in the success of Internet shopping malls: the effectiveness of customer management the effectiveness of marketing. the competitiveness of product-sales, the convenience of use, the credibility of product. Second, the effectiveness of marketing is positively related to the number of member, visitors, and sales. Third, the credibility of product is negatively related to the number of member, visitors, and sales. At the end, the number of member and visitor are positively related to sales. This result could provide the managers with highly relevant managerial issues. The implication of the study are discussed and futher research directions are proposed.

• Archives of design research
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• v.19 no.2 s.64
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• pp.43-52
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• 2006

The most important issue the online shopping mall for clothes is facing in the rapid growth of the online shopping mali is the high rate of the return of the goods alter purchase. The high rate of the return leads to the dissatisfaction md lack of trust from the consumers in the online shopping mall for clothes, which in turn leads to the bleak prospect for the online shopping mall for clothes as a result of the consumers' dissatisfaction. Although a type of online shopping mall using the cyber-fitting technology has emerged recently, it has succeeded only in provoking a visual interest, for it is also not satisfying the demand of the consumers by falling short in providing information. Thus, this research seeks for the resolutions of the problems related to the user-oriented online shopping. First of the resolutions is the development of a new prototype which the consumers can easily access; second is the visualization of the information using the 3D virtual-reality of he prototype through interface, which will help the consumers to make more accurate judgments. In other words, this study seeks to provide a type of prototype of an online shopping mall that meets the demand of the consumers using the 3D avatars, unlike the unilateral and conventional malls out there.

• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.255-269
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• 2009

The purpose of this study was to understand the internet fashion shopping behavior of men in their 20s, and to develop the internet shopping website with situation-based clothing coordination services for male comsumer in their 20s. The study was implemented through a normative descriptive survey method using a questionnaire. The survey was conducted in April and May 2006, and the sample group consisted of 280 men in their 20s from Busan and the provinces of Gyeongnam and Gyeongbuk. The data was analyzed by following statistical methods: frequency analysis, one-way-ANOV A, and Scheffe's test. The results are as follow: first, regarding internet the usage trend of male consumers in their 20s, it was shown that they usually spent more than 15 minutes and less than 30 minutes for internet shopping the price range from their experiences of clothing purchases was relatively high for they bought jackets or suits was relatively high. Second, an analysis on men's pattern of clothing purchase showed that many respondents purchase single items such as shirts or pants online. Third, in terms of their experiences of online purchase of coordinated clothes, 69% said "none." Yet, they showed positive assessment to a question whether they are willing to purchase clothes by using a situation-based coordination service or a 1:1 online coordination services. Fourth, the relationship between consumers' reactions to online situation-based clothing coordination services and respondents' demographic characteristics showed statistically significant different results in terms of occupation.

• Journal of Distribution Science
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• v.16 no.10
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• pp.5-21
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• 2018

Purpose - This case study reviews the development history of Lotte Shopping, which has played a key role in modernizing Korea's retail industry. Research design, data, and methodology - Lotte Shopping's expansion to various channel types has been reviewed from the perspective of the resource-based view of strategy. The opening of Lotte Department Store in 1979 signaled the beginning of the modernized distribution system in Korea. Lotte Shopping expanded its business domains to various types of retail channels, such as discount stores, online shopping malls, TV home shopping, convenience stores, supermarkets, home appliances specialty stores and health & beauty stores. Results - Lotte Shopping has been able to maintain high level of customer satisfaction with leading merchandising skills. It has developed mutually beneficial relationship with the partner firms. It has also been a leading firm in implementing corporate social responsibility activities and environment-friendly management. Lotte Shopping has applied advanced information and communication technology to provide customized goods/services. Conclusions - This study summarizes the business environment and new challenges Lotte Shopping faces currently. Lotte Shopping is trying to reinforce the omni-channel strategy, which can create synergy among various distribution channels based on its core competences.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.733-741
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• 2012

In recent, many consumers visit the online shopping malls or price comparison sites to collect the information on the product category that they are interested in. However, the volumes of the data provided by such web sites are often too enormous, and significant number of consumers have trouble in making purchase decision based on the plethora of products and sellers. In this context, modern online shopping agents need to process the retrieved information in more intelligent way before providing them to the users. This paper proposes a novel approach for identifying the main price ranges hidden in a single product category. To this end, the price of an item in the category is represented as a row vector and k-means clustering analysis is applied to the price vectors to produce the clusters that consists of the product items with similar price vectors. Then, the main price ranges of the product category can be identified from the result of clustering analysis. In general, the price is one of the most important factors in the consumers' purchase decision, and the identified main price ranges will be helpful for the online shoppers to find appropriate items effectively.