• 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.

• Journal of Distribution Science
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• v.10 no.8
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• pp.35-43
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• 2012

This study is designed to collaboratively investigate the influences of the characteristics of Internet shopping malls and the shopping traits of their users involved in e-commerce on shopping intention. With this in mind, the researchers take a look at the influences of such features of shopping malls on the web as the quality of the system, customer-support service, shopping-mall perception and security, the users' propensity to pursue pleasure and pragmatic interest on shopping intention. The study shows that all the variables suggested here have an influence on the purchase intent of Internet shopping-mall users. That is, this study cannot analyze how the purchase intent of the customers with regard to the features of Internet shopping malls has changed. Therefore it is necessary to conduct procedural researches taking longitudinal studies into consideration.

• 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 Distribution Science
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• v.17 no.12
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• pp.13-21
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• 2019

Purpose - It is very important to examine customer's behavior about AR shopping either practically or academically. Thus, it will be worthwhile to discuss more in details about AR utility which is even in early stage of distribution industry now. Research design, data, and methodology - This study has designed in consideration of control effects of perceived complexity based on customer's flow as dependent variable, and on AR characteristics and technology readiness as independent variables. Study data has been collected from questionnaires after using AR shopping service directly by those who are 20-30 years old of male and female respondents, which has been analyzed with 167 questionnaires. Hypothesis is verified using by hierarchical regression analysis. Results - After results of hypothesis verified, positive influence has been shown in terms of sensory immersion, manipulation, and optimism, however, it is rejected in relation to navigation and innovativeness. Control effect of perceived complexity has not been appeared. Conclusions - Implications of this study are as follows. First, AR shopping service has to provide an informational value. Second, by providing AR service to customer group, marketing activities will be in effects. Third, recognized complexity is not connected with significant control effect in terms of customer's devotion of service.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.1
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• pp.1-16
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• 2019

Purpose - For the development of fresh food shopping malls, consumers should continue to experience loyalty and favorability for the company's products or brands, and this should lead directly to purchase so that active word-ofmouth and recommendation should be encouraged. Therefore, the purpose of this study is to investigate the effect of e-service quality and e-ERM on e-loyalty with customer satisfaction and commitment as mediators. Research design, data, and methodology - This study was conducted by sample survey method on 320 online customers who have experience in using major online fresh food shopping malls for more than one year. Data analysis methods were frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation model analysis. Result - Hypothesis 1 through Hypothesis 7 were all supported. The results of this study suggest that e-service quality and e-CRM of online fresh food shopping malls have a significant effect on satisfaction and commitment. Therefore, the conclusion has been derived that the focus of this study, that such satisfaction and commitment have a significant effect on e-customer loyalty. has been supported theoretically and empirically. Conclusion - This study suggests that studies on customer loyalty based on activation commerce factors related to fresh food in online shopping malls will be an index that can reflect on customer's needs corresponding with future trends of not only online shopping malls but also offline shopping malls.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.549-555
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• 2009

The purpose of this study was to investigate the effects of service quality on consumer satisfaction and loyalty according to clothing involvement at internet shopping mall. Data were obtained from 400 college students living in Busan. Data were analyzed by factor analysis, reliability analysis, cluster analysis, t-test and regression analysis using SPSS WIN 14.0. The results indicate that companies of shopping mall striving for consumer loyalty should focus primarily on satisfaction and service quality perceived by consumer at Internet. The effects of clothing involvement on the association of consumer loyalty, satisfaction and perceived service quality are significant. This finding provides the information being efficient to develop marketing implications related to internet shopping mall.

• Management & Information Systems Review
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• v.26
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• pp.153-180
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• 2008

Most previous electronic commerce studies have focused on a single product or similar products. The effects of different product types have been relatively neglected. and so previous studies have limited the generalization. The purpose of this study was to explore the effects of different product types. The Internet product and service classification grid proposed by Peterson et al.(1997). A survey-based approach was employed to investigate the research questions. Regression analysis demonstrated that the determinants of online shopping acceptance differ among product or service types. As a result of analysis, personal innovativeness of information technology, perceived Web security, personal privacy concerns, and product involvement can influence consumer acceptance of online shopping, but their influence varies according to product or service types.

• Journal of Fashion Business
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• v.18 no.1
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• pp.118-131
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• 2014

The purpose of this study is to classify the service recovery fairness of internet fashion shopping mall depending on the type of shopping mall into 3 levels, and analyze their influence on customers' satisfaction and intention to repurchase. Data were collected from 271 customers who had made a complaint or raised a question about service among the customers, and was analyzed through AMOS 7.0. For hypothesis testing, a research model was set up in the form of structure equation model, and its suitability was investigated. The results of this research can be summarized as follows: First, in relation to the service recovery fairness at internet shopping mall, only the consequential fairness has a meaningful relationship with customer satisfaction. Second, it has been shown that the higher the customers' satisfaction with internet shopping mall, the more positive influence it has on intention to repurchase. Third, it has been shown that the influence of service recovery fairness on customers' satisfaction and intention to repurchase has a meaningful difference depending on the type of internet shopping mall. In other words, it has been shown that customer satisfaction is higher at open market than general internet shopping mall. In addition, it has been shown that in open market, only the consequential fairness has a meaningful influence, therefore it will be more effective to strengthen a strategy focused on economical rewards than other fields.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.5
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• pp.796-808
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• 2017

This research shows how fashion curation service consumers (both fashion and image consultants) reveal different aspects towards a preferred image type among the correlation of fashion curation service usage motivation and fashion shopping propensity. These preferences also included the purchase intentions for fashion display service products. This study surveyed 300 men and women between the ages of 20-30 who were the main consumers of fashion curation services. 'Convenience, fashion trend, and exploratory' increased purchase intentions for fashion shopping propensity, 'information search for utility, entertainment, and personal expression' increased purchase intentions for fashion curation services and 'brand identity, consumer lifestyle, and product information' increased factors for the fashion curation service preferred image type. Consumer preferences varied according to different fashion curation service image type; however, all consumer group syndicated a difference in fashion curation service actions. For instance, fashion curation service consumers preferred a consumer lifestyle image, convenience, hedonic shopping orientation, and personal expression motivation had a positive influence on product purchase intention. However, the shopping orientation of 'fashion trend, practical information exploration, and entertainment motivation' had an optimistic influence on product purchase intentions for fashion curation service consumers who preferred a brand identity image and a product information image.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.8
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• pp.913-923
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• 2003

This study divides consumers into groups according to the TRI(technology readiness index) in order to (md out the characteristics of each consumer group, and attempts to examine how the frequency of shopping and the TRI affect service quality of and satisfaction at the internet apparel shopping sites. An on-line survey was made to collect data, and the replies from 785 people, who had an experience of apparel shopping apparel on line, were used in the analysis. The research results are as follows: 1. The four factors of optimism, innovativeness, discomfort, and insecurity were identified from the TRI factor analysis, and the total variance was 58.88%. 2. The male group showed the higher TRI than the female group. Especially the factor of innovativeness was higher in the male group, indicating the male group's activeness in the use of technology. 3. Consumers were classified into five types in terms of the TRI: explorers, pioneers, skeptics, paranoids, and laggards. 4. Service quality had the greatest influence on consumers’satisfaction with the apparel shopping sites, and the frequency of purchase, optimism, and discomfort ranked next to service quality.