• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.919-936
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• 2003

Nowadays Electronic Commerce shopping mall is welcomed more and more on the Internet. It is expected that Shopping mall systems come to be various and adaptable to complex requirements according to customers who have these various needs, but just show products list, instead. This thesis suggests various structures of shopping malls showing interface agent model using Case-Based Reasoning one of reasoning method of Artificial Intelligence instead of the method of prior EC shopping mall. 1 constructed case base by making index with shopping mall members and customers' private informations, and pursued difference from prior EC shopping malls by proposing to customers cases of other users' selection of products who have similar private informations with them.

• Journal of the Korean Society of Costume
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• v.63 no.5
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• pp.61-71
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• 2013

As an emerging e-retail model, private shopping malls are transforming the traditional retail systems. These malls are expanding in Europe and the United States and have recently arrived in Korea. This study investigates the relationships among the usefulness of SNS(Social Networking Sites), shopping values, and purchase intentions for fashion products in private shopping malls. The analysis was based on a survey of consumers, aged between 20 and 39, who recently purchased fashion products from a private shopping mall. Two hundred samples were used in the final analysis. The study employed descriptive statistics, Cronbach's alpha, confirmatory factor analysis, and structural equation modeling. The relationships among usefulness of SNS, shopping values, and purchase intentions was verified through structural equation modeling. More specifically, the usefulness of SNS significantly influenced the utilitarian shopping values as well as purchase intention of fashion products. Utilitarian shopping values, in turn, significantly influenced hedonic shopping values and purchase intention. Further, hedonic shopping values had a significant effect on purchase intention.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.3
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• pp.33-43
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• 2008

As internet is spreaded widely, the number of cyber terror using hacking and virus is increased. Also the hacking to the internet shopping mall go on increasing. If the large shopping mall is attacked by the hacker, a number of user's information are exposed to the hacker. The private information as like a resident registration number, user's real name, the date of user's birth, the mobile phone number, the office phone number / address, the home phone number / address and so on include the information. These information are used in the phishing e-mails / call and spam. And them are selling and buying maliciously. The large internet shopping mall 'auction' was hacked in April, 2008. After the incident, this paper suggested a countermeasures on the hacking for the internet shopping mall. The technical item and political item are included among the countermeasures. The countermeasures can protect the hacking not only the internet shopping mall but also the web sites basically.

• Agribusiness and Information Management
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• v.2 no.1
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• pp.31-73
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• 2010

On-line shopping mall has become a powerful marketing tool recently. On-line shopping malls provide information for consumers about goods and influence the decision-making process of purchasers. Therefore many local government made on-line shopping malls for advertising agricultural production in the region. However, in the face of problems related with effectiveness on shopping mall management, most of on-line shopping malls has been managing by private sector actually. This study aims to propose the plans for development of the on-line shopping malls. For this purpose, this study investigated current management status of the shopping malls and conducted case study on-line shopping malls.

• Journal of Internet Computing and Services
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• v.4 no.5
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• pp.31-41
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• 2003

At present, the market size of electronic commerce has increased and also the construction of internet shopping mall has expended. But it raises question about issue that the manpower who develope user interface lack of the comprehensive and systematic approach. For that reason this study identified the main factor of the user interface contents in internet shopping mall and suggested the contents item based on the reliability, safety and ease of uses for the customer. Eventually, the developed basic contents items are company information, the protection policy of private information, user agreement. product information, settlement information, order process, delivery process and customer support.

• The Research Journal of the Costume Culture
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• v.15 no.4
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• pp.551-568
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• 2007

The purposes of this study were to identify factors of dissatisfaction and complaining behavior in internet fashion shopping mall, and to investigate constructs of service recovery for solution to this problems. Data were obtained from 201(male: 87, female: 114) internet fashion shopping mall consumer who have experiences of dissatisfaction and complaining behavior after buying products, and were analyzed using by descriptive analysis, factor analysis, Cronbach' $\alpha$, t-test. The results were as follows. First, the most response(80.4% of reponses) was experience to dissatisfaction through internet fashion shopping mall, and the most dissatisfied items were blouse, sweater, T-shirt in upper garment. Also, in men's case, the most satisfied price zone was not exceeding $30,000{\sim}50,000\;won$ and in women's case, it was not exceeding $20,000{\sim}30,000\;won$. Second, 7 factors of dissatisfaction(called quality, payment, delivery, price, interaction, returning/changing/refunding, contract) were identified after purchasing fashion products from internet shopping mall. 3 factors of complaining behavior(called private action, legal action, remedial seeking action) were investigated. Third, constructs of perceived service recovery were extracted from literature review: perceived interaction and justice. Perceived interaction were categorized into two factors: the interaction on the part of the consumer, the interaction in the part of the shopping mall. And perceived justice were categorized into three factors: interactional justice, distributive justice, procedural justice. Usually, university students were likely to take a serious view of service recovery through interaction and justice with internet fashion shopping mall.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.2
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• pp.161-174
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• 2014

This study performs an investigative research on the shopping value of consumers who purchase fashion/beauty products using group buying social commerce among the types of social commerce and private shopping malls. We provide basic knowledge on consumer behavior using social commerce newly appeared as shopping channels. For the method, the research was performed by designing a sequential integration method of conducting quantitative verification after qualitative research. As a result of qualitative research, multiple shopping values have been shown as the common shopping values of consumers using two types of shopping malls. The dimensions are price, quality, convenience, interaction, information, reliability, hedonic and impulse buying values. A total of eight sub-dimensions have appeared due to performing quantitative verification on the shopping value of group buying social commerce. The dimensions are same as the results from the qualitative research. The shopping value of consumers who purchase fashion/beauty products using private shopping malls has been classified into seven dimensions (except interaction value).

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.595-604
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• 2004

This study is to investigate complaining behavior of consumers who purchase fashion products on the internet, as well as to find how the complaining behaviors are related to the consumers' characteristics. The subjects of this study are limited to the consumers who have experienced dissatisfaction when purchasing fashion products through the internet. The questionnaires were administered to male and female respondents using the internet shopping mall. The results can be summarized as follows: The factor analysis shows that consumer complaining behaviors are fitted well into four factors(direct complaining behavior, private complaining behavior, third-party complaining behavior, and no response). In the difference analysis by consumer's complaining behavior styles and gender, private complaining and third-party complaining behavior were significant statistically. In the difference analysis between consumer's complaining behavior styles and internet self-efficacy. Internet self-efficacy was significantly different according to consumer's complaining behavior styles, especially for direct complaining, third-party complaining and no response. Private complaining behavior, third-party complaining behavior and no response were negatively related to consumer retention, while direct complaining behavior was not.

• Fashion & Textile Research Journal
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• v.12 no.6
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• pp.745-754
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• 2010

This study is to find return factors when modern consumers purchase goods from an internet shopping mall and then to analyze the characteristics of complaints act and information search behavior. Subjects of research are 245 men and women, who have experience with more than one return in internet fashion shopping mall, in their twenties. The data were analyzed by using Factor analysis, Cronbach's analysis, one-way ANOVA, Duncan test as a post identification, Pearson's correlation analysis and multiple regression analysis. The results of this study are that male and female consumers in their 20s are mainly aware of the return factors: impulse buying, product status, deliver service, service after purchase, hype and comfortableness. And complains behavior often conduct public action, private action, nonaction. Information search behaviors for risk reduction when they purchase are product comparison, oral information search, neutral marketing information search, and service information search. The return factor from the internet fashion shopping had the greatest impact on public action and deliver services factor was a big complaint. In addition, impulse buying & Hype affect private action and non-action is influenced by impulse purchase. The consumer types by the return factors in internet fashion shopping mall are classified into the return group by deliver service, the return group by complex factors, and the return group by product status. Furthermore, there are significant differences in complaining behavior among these groups. In the information search behavior for reduction of risk factors, the return group by complex factors did more active information search behavior than the other groups. The return group by deliver service searched oral information and the return group by product status explored the neutral marketing information.

• CRM연구
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• v.2 no.2
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• pp.71-88
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• 2009

The purpose of this thesis is to examine the effects of e-CRM activities by the internet shopping mall companies on the purchase activities of purchase customers and the potential customers. The internet shopping companies utilize e-CRM to systematically identify customers' varying demands, and to utilize the results as marketing tools, thus producing a significant effect on the potential customers by generating customer feedback through e-Community. Contrary to their intention, however, cognitive dissonance can occur through e-Community, which may lead to customers' complaints. If these complaints are not properly managed and settled in a timely manner, they can be transferred to other potential customers, and the conformity phenomenon could be created by other complaining customers. Findings obtained through this thesis are as follows: If cognitive disharmony is created by customers who purchased products through the internet shopping malls, this can lead to private complaining behaviors, and subsequently, these behaviors are formed through e-Community. If the internet shopping mall companies do not take any timely and proper measures to intervene in the stage of private complaining behaviors in the first place, these behaviors will immediately escalate into the public complaining behaviors. Furthermore, the complaints will be transferred to other potential customers, ultimately resulting in their swift expansion. In other words, contrary to intention of the internet shopping mall companies, e-CRM does not facilitate the potential customers purchase decision, it rather affects them to postpone or withdraw their purchase decision. Accordingly, the internet shopping mall companies are required to manage e-Community with extreme care, and they should promptly respond to the complaining customers so that e-Community can function properly.