• International Journal of Costume and Fashion
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• v.10 no.1
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• pp.15-27
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• 2010

This study investigates the differences of e-service quality depending on image interactivity technology and the influences of e-service quality on purchasing involvement and customer loyalty. Online shopping malls have made toward satisfying customers' shopping experience owing to the advance of technology. Above all, it is important to prove effectiveness of this technology to introduce it. Therefore, the purpose of this study is to test effectiveness of Image Interactivity Technology (IIT) which has been introduced by some shopping malls. For this study three shopping malls were designed as stimuli that have the different level of IIT. The women of 20-30 who have bought fashion products in online shopping malls participated in the quantitative research. Total 592 were used for the statistical analysis. Descriptive statistics, cross tabulation analysis, factor analysis, reliability analysis, one-way ANOVA, and multiple regression were implemented. Four factors of e-service quality were extracted. The 3D avatar shopping mall was higher than the others in those factors. Besides, e-service quality factors influenced purchasing involvement and customer loyalty. Therefore, online shopping malls are advised to introduce IIT and improve e-service quality

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.763-776
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• 2013

This study investigated the uncertainty, regret experience, and negative behavior intention of fashion consumers according to the types of internet shopping malls. The data was obtained from internet fashion consumers, and 394 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and regression analysis. As results, the uncertainty of internet fashion consumers was composed of two factors; information uncertainty and preference uncertainty. The regret experience was composed of function or service regret, suitability regret, and product regret. Also, the negative behavior intention was composed of purchase switching intention and purchase deferral intention. The information uncertainty of fashion consumers positively affected the negative behavior intention in all types of internet shopping malls (e.g., open market, integrated shopping mall, and fashion specialized shopping mall). In open market, the preference uncertainty negatively affected the purchase switching intention; however, the preference uncertainty positively affected the purchase deferral intention. In open market and fashion specialized shopping mall, the product regret of internet fashion consumers positively affected the negative behavior intention. In addition, there were partially significant differences in the factors of uncertainty, regret experience, and negative behavior intention by gender and marital status of demographic characteristics. The results of this study will provide useful information to the marketing strategies considering fashion consumer's negative emotion and behaviors according to the types of internet shopping malls.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.9
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• pp.1409-1418
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• 2009

This study investigates the relationship among interactivity, telepresence, flow, and future behavior intention in internet shopping. Respondents were female consumers age 20 to 30. These consumers are regarded to have experience in internet shopping. 500 samples were used in this research. For data analysis, descriptive statistics, factor analysis, ANOVA, and multiple regression analysis were used for this study. As the result, interactivity, telepresence, and flow affect future behavior intention. Flow is the most influential variable affecting the future behavior intention. It implies that hedonic shopping experience (aroused by flow) can increase the future behavior intention of consumers. Consumers can operate and change the product image with convenience by encouraging interactivity between the internet fashion shopping mall and consumers. Through the technology, the experience 'flow' of consumers can provide a sense of telepresence as if they were shopping in a real store. Consumers may feel unconscious of the passage of time and feel fun, free, and original. Therefore, the internet shopping mall should pay attention to what customers demand and reflect it through e-mail, real time chatting, and text messages. In addition, rich product information such as detailed images should be supplied to help customers visualize looks.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.211-218
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• 2011

Customer relationship management (CRM) comprises a set of processes and nabbing systems supporting a business strategy to build long term, profitable relationships with specific customers. Customer data and information technology(IT) tools form the foundation upon which any successful CRM strategy is built. Recently, the Internet rectifying this life, IT technology and the rapid development taking place over the Internet, customer relationship management, e-CRM has emerged. The purpose of this research is to investigate the important elements of e-CRM which in fluence the customer satisfaction and the brand loyalty in e-shopping mall. And this study is to investigate the relationship between customer satisfaction and repurchase intention and word of mouth intention.

• The Journal of Information Systems
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• v.15 no.3
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• pp.131-157
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• 2006

A lack of trust in the technical and institutional environments surrounding the web can hinder e-commerce adoption, because Internet social cues are minimal and trust is difficult th establish. Web vendors must act purposefully to overcome consumer perceptions of uncertainty and risk by building trust-both in their own web sites and in the broader Internet environments. Trust makes consumers comfortable by sharing personal information making purchases, and acting on web vendor advice-behaviors essential to wide-spread adoption of e-commerce. Understanding the nature and antecedents of trust is, therefore, a major issue for both Internet researchers and practitioners. Prior research on e-commerce trust has used diverse, incomplete, and inconsistent definitions of trust therefore, making it difficult to compare results across studies. This study tried to and the empirical relationships among the trust-related factors on the usage of Internet shooing mall. The model includes five high-level constructs-disposition to trust institution-based trust trusting beliefs, trusting intention and environmental factors. The results showed that the disposition to trust and the environmental factors had a significant effect on the web site trust however, their effect was not consistent Moreover, the model suggested in this study need to be extended including with the more sociological factors and results in this study required to be verified with those extended model.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1189-1196
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• 2004

It is a major concern of e-shopping mall managers to satisfy a variety of customer's desire by recommending a proper product to the perspective purchaser. Customer information like customer's fondness, age, gender, etc. in shopping has not been used effectively for the customers or the suppliers. Conventionally, e-shopping mall managers have recommended specific items of products to their customers without considering thoroughly in a customer point of view. This study introduces the ways of a choosing and recommending of products using case-based reasoning and rule-based reasoning for customer themselves or others. A similarity measure between one member's idiosyncrasy and the other members' is developed based on the rule base and the case base. The case base is improved for the system intelligence by recognizing and learning the changes of customer's desire and shopping trend.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.143-146
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• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• Journal of agriculture & life science
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• v.43 no.2
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• pp.65-78
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• 2009

The purpose of this research is to analyze the factors influencing satisfaction level of consumers using internet shopping mall to purchase agricultural products and to check relationship between satisfaction factor and intention in current situation of fast diffusion of market size for agricultural product e-commerce. Purchase motivation in internet shopping mall was shown to be the reason of convenience rather than confidence degree for agricultural product consumers. Consumer satisfaction factor of agricultural product internet shopping mall can be distinguished by confidence in service quality, diversity of products, delivery and customer support, and security. The result of this research will help us understand the determination factor of consumer satisfaction and their intention about internet shopping, while finding out what consumers expect from internet shopping when purchasing agricultural products.

• International Journal of Contents
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• v.6 no.4
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• pp.62-68
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• 2010

More and more researchers and practitioners in the field of e-commerce are paying attentions to the retention of online customers. However, only a few researches can be addressed in the context of internet shopping mall repurchase intention. This study aims at investigating and delineating the important characteristic factors which affect consumers' repurchase intentions by conducting an empirical analysis. In order to fulfill this purpose effectively, a comprehensive review of previous studies regarding information system success model was performed in order to render a stronger theoretical foundation for our study. Finally, based on the DeLone and McLean (2003) IS success model, information quality, system quality, service quality, customer satisfaction and repurchase intention were employed as five constructs in the research model and hypotheses on mutual relationships between these constructs were established accordingly. Structural equation modeling was employed to analyze the data collected from 204 internet shopping mall consumers in China. Our theoretical model exhibited a good fit with the observed data. The empirical results showed particularly strong support for the effects of information quality, service quality and user satisfaction. The findings of this research contributed to the extension of repurchase intention study in the context of Internet shopping malls. Our research also offered implications for practitioners in regards to devising internet shopping malls so as to increase consumers' repurchase intention to use these services.

• 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.