• Journal of Information Technology Applications and Management
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• v.19 no.3
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• pp.69-84
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• 2012

A web site focused on a specific product brand so called product-brand web site has become one major marketing tool as such product-brand web site provides chances for customers to experience the detailed information of the specific brand as well as emphatic the image of the brand. The purpose of this research is to examine the influence of the product-brand web site on the formation of attitude toward the product brand. Subjects of this study are users of two web sites of leading sanitary product brands. The result shows that not only emotion, playfulness and convenience perceived from the web site but also existing attitude toward the brand influence the attitude toward the web site. Further, the attitude toward the web site in turn affects attitude toward the image of the brand. The importance of this study is in its conceptualization and empirical verification of the relationship between the product-brand web site and the reputation of a brand.

• Journal of Digital Convergence
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• v.2 no.2
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• pp.29-44
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• 2004

The main objective of this study is to investigate the determinants of consumer trust in e-business. It examines consumer perceptions trust in a Web site and address following research questions: What factors influence consumer trust in a Web site and what specific Web site cues are associated with trust and satisfaction? We test our hypothesis in a empirical data from 568 consumers across 4 Web sites. By factor analysis, the results show that Web site characteristics are such as product information and purchase process , system stability, navigation, privacy(security), design, information of seller, pay methods, and customer service. We also find that brand and Web site characteristics such as Web site design, navigation, privacy(security), and customer service can explain over 59% of the variance in Web site trust and 60% in satisfaction. The results offer important implication for Web site strategies that include the manipulation of factors influencing Web site trust. And the future directions of the present research are discussed.

• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.19-32
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• 2005

Internet shopping has transformed our daily lives as well as the pattern of consumption. In the word, the development and the growth of online shopping site have led to new pattern of consumption. This applies in particular to clothing, among the product on sale, on the internet. The purpose of this research is to analyze the characteristic of colors and images on internet fashion soho mall web site, and to provide efficient color information which is usefull in color planning and suitable for brand image on fashion web site. 147 color sample used by 40 fashion soho mall web site were collected and analyzed. The results of this study are as follows. First, dominant color on fashion web site is static color as black and it's ratio is 33$\%$. Second, G color is not used. Third, Hue and tone mainly used It tone of P color except V tone. And the color image on internet fashion soho mall web site are modern, chic, dandy, formal. Results from analyzing the fashion soho mall Web site. it is important to unity the company's image but its more important to make a color plan considering the sites feature and the customers's sensitivity.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.1
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• pp.97-111
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• 2003

The purpose of this study is to identify the consumer's website attitude by product perception. There are a lot of benefits of some obstacles in the use of e-commence through the Internet-enabled website. The website or webpage is a marketing message for customers and many consumers use the Internet to acquire own informations. Indeed, it is necessary to construct positive attitude within an operating website, and IT is used as a useful tool for building the trust relationships with consumers. For eCRM in Internet era, it is very important to identify factors affecting consumer's website attitude. In sum, this study is focused the relationships between consumer's website attitude and product perception, brand attitude.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1387-1396
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• 2008

The objective of this study was to identify differences between internet fashion shoppers and non-shoppers in their fashion shopping orientation and attitude toward internet shopping site service. Also behavior of internet shoppers and non-shoppers was compared by gender. Twelve hundred and ninety two responses were obtained from an online survey. 20 items were used to measure shopping orientation and 13 items to measure attitude toward internet shopping site service, which were modified from previous studies. Some demographics and internet familiarity were asked. Factor analysis, t-test, chi-square test, and regression were conducted. Factor analysis produced five fashion shopping orientation factors such as fashion oriented, shopping oriented, brand oriented, personality oriented, and value oriented. Attitude toward internet shopping site service were classified into three factors, at-site service, after purchasing service, and product information. Internet fashion shoppers and non-shoppers were significantly different in most items of shopping orientation and attitude toward internet site service. Internet shoppers were likely to be fashion oriented, to enjoy shopping, to pursue brandname and personality, and to concern price more than non-shoppers were. Internet shoppers also had more favorable attitude toward product information and at-site service. Also, shoppers were more familiar than non-shoppers to the internet in terms of duration of web-browsing. Ratio of men and women differed significantly for shopper vs. non-shopper groups. Female shoppers were likely to be more fashion, shopping. and value oriented but to have less favorable attitude for after purchasing service than male shoppers.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.163-168
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• 2017

This study empirically examines the differences in attitude and memory effect according to the product knowledge (high knowledge / low knowledge) and temporal distance (near future / far future) in the new product preannouncing strategy of companies through Facebook Respectively. Experiments were conducted by inserting the experiment into a virtual web browser using Facebook 's actual brand fan page and then connecting the experiment to the experimental banner site. As a result of research, when preannouncing new products are released in the near future, low knowledge consumers have made judgments of purchasing decisions because GRM judgments are more favorable than property information (ARM) judgments, but preannouncing is a new product At the time of launch, highly-knowledgeable consumers had a positive effect on the property information (ARM) judgment of the product rather than the comprehensive information (GRM) judgment. In addition, when preannouncing was introduced in the near future, the attitudes of the products between the low-knowledge consumers and the high-knowledge consumers were all positive, but when the new products were launched in the distant future, Product attitude was negative.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.85-107
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• 2019

Online consumers browse products belonging to a particular product line or brand for purchase, or simply leave a wide range of navigation without making purchase. The research on the behavior and purchase of online consumers has been steadily progressed, and related services and applications based on behavior data of consumers have been developed in practice. In recent years, customization strategies and recommendation systems of consumers have been utilized due to the development of big data technology, and attempts are being made to optimize users' shopping experience. However, even in such an attempt, it is very unlikely that online consumers will actually be able to visit the website and switch to the purchase stage. This is because online consumers do not just visit the website to purchase products but use and browse the websites differently according to their shopping motives and purposes. Therefore, it is important to analyze various types of visits as well as visits to purchase, which is important for understanding the behaviors of online consumers. In this study, we explored the clustering analysis of session based on click stream data of e-commerce company in order to explain diversity and complexity of search behavior of online consumers and typified search behavior. For the analysis, we converted data points of more than 8 million pages units into visit units' sessions, resulting in a total of over 500,000 website visit sessions. For each visit session, 12 characteristics such as page view, duration, search diversity, and page type concentration were extracted for clustering analysis. Considering the size of the data set, we performed the analysis using the Mini-Batch K-means algorithm, which has advantages in terms of learning speed and efficiency while maintaining the clustering performance similar to that of the clustering algorithm K-means. The most optimized number of clusters was derived from four, and the differences in session unit characteristics and purchasing rates were identified for each cluster. The online consumer visits the website several times and learns about the product and decides the purchase. In order to analyze the purchasing process over several visits of the online consumer, we constructed the visiting sequence data of the consumer based on the navigation patterns in the web site derived clustering analysis. The visit sequence data includes a series of visiting sequences until one purchase is made, and the items constituting one sequence become cluster labels derived from the foregoing. We have separately established a sequence data for consumers who have made purchases and data on visits for consumers who have only explored products without making purchases during the same period of time. And then sequential pattern mining was applied to extract frequent patterns from each sequence data. The minimum support is set to 10%, and frequent patterns consist of a sequence of cluster labels. While there are common derived patterns in both sequence data, there are also frequent patterns derived only from one side of sequence data. We found that the consumers who made purchases through the comparative analysis of the extracted frequent patterns showed the visiting pattern to decide to purchase the product repeatedly while searching for the specific product. The implication of this study is that we analyze the search type of online consumers by using large - scale click stream data and analyze the patterns of them to explain the behavior of purchasing process with data-driven point. Most studies that typology of online consumers have focused on the characteristics of the type and what factors are key in distinguishing that type. In this study, we carried out an analysis to type the behavior of online consumers, and further analyzed what order the types could be organized into one another and become a series of search patterns. In addition, online retailers will be able to try to improve their purchasing conversion through marketing strategies and recommendations for various types of visit and will be able to evaluate the effect of the strategy through changes in consumers' visit patterns.