• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.215-223
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• 2007

On-Line Shopping mall is becoming important strategic environment that decide corporation's competitive advantages because of that can achieve quality of customer service and offer speed elevation through both-way communication effectively. Accordingly, as interest about electronic commerce rises, various research had been gone. But, most researches are applying off-line market's quality of service measurement tool just as it is doing not consider special quality of internet. Consider and prescribe by system quality, and saw that thing with grasp relation with customer satisfaction along with qualify of service is important for factor that environmental element influences in customer satisfaction as existing commercial transaction in this research hereupon. That is, wished to present quality strategy necessary to examine whether some quality factor of system quality and quality of service affects more customer satisfaction, and satisfy various customer's needs accordingly after ermine whether it are switching and some relation that search purchase alteration availability of market that is different from loyalty which recommend internet shopping mall to another person who is system quality factor and quality of service factor and customer satisfaction factor actively.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.38-46
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• 2004

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e.g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.291-298
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• 2015

It is pretty hard to sell the kids' furniture online because of the characteristics of the consumers that they will like to make purchases after looking at the actual objects and then considering purchasing them. In this paper, we made the scheme to boost the on-line malls of the kids' furniture market by collecting the consumers' intention to buy before purchasing with questionnaire survey, comparing it with the real data of purchasing, and analyzing the differences. We analyzed the visit number of shopping mall, the page number of views, page duration time per visit, and customer's shopping path by using log data from the children's furniture online shopping mall server. In addition, we analyzed where the customer's influx route is among online advertising. We found that there are requirements for the designs, prices, brand names, and practicalities by the consumers purchasing the kids' furniture online. To strengthen competitiveness of the online kids' furniture malls, we proposed that reinforcing the on-line experiences of furniture, the differential strategies for the products, ensuring the fixed customers are needed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.147-158
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• 2017

Internet is changing the way consumers shop and buy goods and services, and has rapidly evolved into a global phenomenon. The primary purpose of this study is to investigate the influence of consumer's on-line shopping values on satisfaction and intention to re-use. Economic value, emotional value, convenience value, social value, product variety were identified as affecting factors of satisfaction and intention to re-use of on-line shopping purchasing based on prior studies of on-line shopping behavior. This study tested the hypothesized model using the data from 132 consumers who have purchased products in on-line shopping mall. According to the result, economic value, emotional value, product variety are significantly related to the consumer satisfaction but convenience value, social value are not. Consumer satisfaction of online purchasing was also shown to be related to the intention to re-use. It can provide practical guidelines on effective operation strategies for consumer loyalty.

• The monthly packaging world
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• s.154
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• pp.128-137
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• 2006

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1164-1179
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• 2009

This study presented the characteristics of a mobile fashion shopping mall as perceived by those in charge of fashion brands, clarified the effect of the characteristics on the intention 'Of introduction, and indicated the differences in the intention of introduction according to the characteristics of brands. This study surveyed individuals in charge of fashion & clothing brands. It utilized SPSS 12.0 program for data analysis and performed frequency analysis, validity analysis, reliability analysis, multi regression analysis, ANOVA, and hierarchical adjustment regression analysis. A summary of the results of this study are as follows: First, the results of the factor analysis are shown to clarify the characteristics of mobile fashion shopping mall; four factors such as facility/usefulness, instant accessibility, personalization, and playfulness were also represented. Second, it showed that facility/usefulness, instant accessibility and personalization generate a positive influence on the intention of introduction. Of the factors, facility/usefulness displayed the highest influence. Third, regarding the effect of the characteristics of a mobile fashion shopping mall on the intention of introduction according to the characteristics of brands (in the case of women's wear) the intention of introduction is strong as instant accessibility and facility/usefulness is highly recognized. Lastly, there is a difference in the intention of introduction according to the characteristics of brands. According to items, casual wear shows the highest intention of introduction as followed by women's wear and sportswear. According to age, brands targeting a 24-29 year old group show a higher intention. Companies with average sales of 50 billion won to 750 billion won (or more) for three years showed a high intention. In addition, the possibility of introduction as a new distribution line was investigated.

• Korean Management Science Review
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• v.23 no.1
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• pp.43-61
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• 2006

This research is an empirical investigation into the dimensions determining the website quality of domestic online shopping malls. A research model that has been formed to find the website quality dimensions is based on DeLone and McLean's information system success model that we adapted to fit the B2C electronic commerce environment by incorporating existing research on IS service quality and website quality. The model incorporates three quality dimensions including the information quality, system quality and service quality, and an attempt was made to empirically examine the relationship between variables of these dimensions and the revisit intent. The results of the study revealed that five quality-related variables were found to importantly contribute to the user's intent to revisit a site : the information accuracy and relevancy, system reliability, ease of use, and on-line support. The paper concludes that the three quality dimensions can serve as a useful framework to evaluate the quality of online shopping mall websites in an attempt to improve the website revisit rate.

• Information Systems Review
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• v.9 no.3
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• pp.99-132
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• 2007

As customer management rises by important issue in electronic commerce, virtue study about CRM have proceeded much. However, because existent researches were positive researches of most statistical base, There are some limitation that does not show dynamic change with CRM flow by flowing of time, and can not forecast propriety and future result about CRM strategy. Therefore, in order to overcome existent limitation on these CRM study, this study designed dynamic model which draws factors that compose CRM strategy of on-line shopping mall, and do based on technique in system dynamics so that can analyze dynamic change between these factors. Concretely, atomized customer focuses in the on-line shopping mall and does based on Permission marketing theory, and applied CRM of different level to atomized customers and know change of customer satisfaction measurement and discomfort degree accordingly. According to the result of Simulation practice, situation that achieve CRM strategy of different level by atomize customer more increase the customer satisfaction than situation that is not so. Dynamic pattern that presented in this study is expected that can verify validity about CRM achievement strategy of different level at each CRM point of contact & how Internet enterprise including on-line shopping mall is establishing CRM strategy reasonably.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2073-2080
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• 2015

Even though users choose goods they want to buy in on-line shopping malls, real purchase is often performed in off-line shopping malls. It is called reverse showrooming. It means that users' analysis of goods based on images and description of internet shopping malls has limitation. Thus, large-scale online shopping malls provide a customized shopping information. However, in that case, the provided information is a simple list of goods users bought or retrieved. Thus, a system to analyze various needs of users and apply the result into on-line shopping mall is necessary. In this paper, an analysis system is proposed. The system contains a module to analyze user defined preference and a module to analyze users' reviews. The former designates two goods and collects preferences of individual users. the latter analyzes reviews about purchased goods based on database dictionary stored in advance for analyzing reviews. The system implemented shows that it is possible to recommend some goods that meet each users's needs

• The Research Journal of the Costume Culture
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• v.14 no.5
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• pp.850-863
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• 2006

The purpose of this study was to investigate if star marketing of on-line shopping malls affects consumers' WOM effect, and to compare the differences of consumption behavior between female teenagers and college students. Two hundred five female teenagers and college students who had purchased fashion goods through internet shopping mall participated in this study. For data analysis, descriptive statistics, factor analysis, t-test, and multiple regression were used. As the results, first, recognition of celebrity advertising models was classified into three factors such as 'trust of product', 'attractiveness of product' and 'leading interest of product' factors. Second, the greater exposure to celebrity models, the greater the good feelings about them, showing respondents' positive consumption behavior. Third, results of multiple regression revealed that behavior of pursuing celebrities' style accounted for 37% of the explained variance WOM behavior. Finally, t-test revealed that female college students were affected more by celebrity style and bought fashion items than female teenagers. However, female teenagers conducted more WOM behavior than college students. Based on these results, on-line fashion marketers would use these data for more their efficient fashion marketing strategies.