• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.109-114
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• 2002

E-commerce customers can reduce purchasing cost by the help of comparison shopping agents that collect price information of products in the shopping malls. However, user expects a software agent that can recommend product information satisfying various purchase conditions besides price. In this paper, we present a MAS (multi-agent system) which retrieves and recommends book information suitable for various user needs to realize an agent-based E-Commerce. We implemented and tested our MAS to help on-line bookstore customers. From the results, we could provide E-commerce customers various book purchase conditions for several online bookstores in real-time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.294-297
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• 2011

After Cloud Computing concept appeared in Google that is Internet search engine company and Famed online bookstore Amazon succeed in online rental business of computer resource, Global IT companies are watched by Cloud Computing. The companies applying Cloud Computing having been many changes, also domestic It business is throwing the spotlight on new paradigm of Cloud Computing. This paper is going to look at concept and trend of Cloud Computing, and describe situation and outlook of Cloud Computing in domestic companies.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.85-96
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• 2022

The purpose of this study was to analyze the effect of service factors of used book transactions, which are becoming a major service in online bookstores, on customer satisfaction and the effect of customer satisfaction on reuse intention. 235 samples were collected through a survey for users of used book transaction services in their 20s or older, and 205 surveys were adopted through the refining process. Hypotheses were verified through factor analysis, reliability analysis, and structural model analysis using SPSS22.0 and AMOS22.0 statistical programs. Some factors were supported between service factors and customer satisfaction, and customer satisfaction had a significant effect on reuse intention, and moderating effects according to the preferred genre of reading were founded. More differentiated services should be considered according to the customer's preferred genre, as the services of online bookstores are becoming more standardized, customers do not feel differentiated.

• Fashion & Textile Research Journal
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• v.25 no.6
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• pp.715-724
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• 2023

This study analyzed the shifts that occurred before and after the outbreak of COVID-19 by scrutinizing digital keywords derived from prominent culture media, such as books and instagram. The analysis identified trends rooted in digital terminology. For this study, the period 2017 to 2022 was divided into three-year segments, before and after the outbreak of COVID-19. Subsequently, an analysis was conducted using digital keywords to assess the number of digital-related books and book hashtags, the number of instagram mentions, and relevant keywords. We found that COVID-19 exerted a discernible influence on information related to digital keywords, substantially impacting both the book publishing market and instagram. Notably, digital-related books have been published in a variety of fields since the outbreak, and new fields are emerging. The year 2020 saw the most significant growth in the mentions of digital terms on instagram. Such terms were used in conjunction with terminology related to people working in a digital environment, endeavors aimed at revenue generation in online spaces, leisure activities associated with art and culture, and online service platforms. Through the analysis of digital keywords, this study is expected to contribute to the understanding of digital trends and their future trajectories.

• Asia pacific journal of information systems
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• v.20 no.3
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• pp.73-90
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• 2010

Although research on acceptance of information systems provides useful insights in understanding users' behavior, we need to further understand factors that cause long-term or continued use. This article therefore examines the role of users' maximizing tendency (i.e., individual differences in pursuing the best option) in continuance intention of Web sites. By controlling for disconfirmation, ease of use, and product involvement, we empirically investigate the relationships between satisfaction, usefulness, and continuance intention to online bookstore Web sites. As suggested by the information technology continuance model, the effects of satisfaction to and perceived usefulness on continuance intention to Web sites are positive for individuals with low maximizing tendency (i.e., satisficers). Satisfaction and usefulness, however, are not associated with continuance intention for individuals with a high maximizing tendency (i.e., maximizers). The implications for both researchers and practitioners are discussed.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.19-45
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• 2005

Collaborative filtering is one of the most common methods that e-commerce sites and Internet information services use to personalize recommendations. Collaborative filtering has the advantage of being able to use even sparse evaluation data to predict preference scores for new products. To date, however, no in-depth investigation has been conducted on how the data sparsity effect in customers' evaluation data affects collaborative filtering-based recommendation performance. In this study, we analyzed the sparsity effect and used a hybrid method based on customers' evaluations and purchases collected from an online bookstore. Results indicated that recommendation performance decreased monotonically as sparsity increased, and that performance was more sensitive to sparsity in evaluation data rather than in purchase data. Results also indicated that the hybrid use of two different types of data (customers' evaluations and purchases) helped to improve the recommendation performance when evaluation data were highly sparse.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.135-140
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• Journal of Distribution Science
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• v.16 no.8
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• pp.5-13
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• 2018

Purpose - Customer Delight is an important issue for firms and academia since delighted consumers reveal higher repurchase intentions than merely satisfied consumers and become loyal consumers. This research investigates customer delight, especially focusing on the role of surprise and attribute importance via experiment. Research design, data, and methodology - An experiment consisting of experiment, reference, and control group was performed with virtual online bookstore. For the analysis, one-way ANOVA and post-hoc analysis (LSD) were performed. Results - The experiment group that was delighted with surprise revealed the highest repurchase intention and recommendation intention among the other groups (H1 supported). Then each group was divided into attribute importance high and attribute importance low. For the group that was delighted in important attribute revealed higher repurchase and recommendation intention than the group that was delight in less important attribute (H2 supported). Conclusions - This research contributes academically for investigating the research area of customer delight and focusing on the role of surprise and attribute importance. For practical implications, this research provides information about customer delight and its several moderating variables that it is important to delight customers with surprising experience and focusing on an important attribute that consumers perceive not on a less important attribute.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.257-266
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• 2017

Recently, a variety of books have been published in various fields, and the range of selection for both online and offline bookstores have been widened. However, there is a vinyl packaging phenomenon to prevent damage being made to the books in bookstores. This makes it difficult to have a look through on the contents of the book, affecting consumers' purchasing decisions. These factors causes the annual average reading volume to decrease. Therefore, in this paper, we would like to propose a "bookmark" application to provide consumers with book information service using AR and Marker technology, tackling the decrease in sales caused by the problem.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.3
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• pp.133-149
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• 2007

Amid a wave of informatization, the world is allowing diverse exchanges and cooperations in the global village to be promoted. And, a change in the life environment and the consumption pattern allows the key word in distribution revolution called 'online' and 'emotion' to be recalled. As the emotion is being positioned as the trend of the new era, this study has its significance in that even the fashion industry desperately requires the emotion marketing aiming at the artistic value and practicality in fashion and the creation in value-added, and requires the development and utilization plan for diverse VMD programs on the rational dress shop, like the successful case of the trendy shop such as America's large bookstore 'Barnes & Noble.' Accordingly, the purpose of this study is to design and suggest the virtually trendy dress shop as one plan of utilizing VMD, by examining about the fashion business environment and about 'emotion trend' according to the consumer purchase needs, and through researching into the cases of the trendy dress shops with the emotion marketing. The virtual trendy dress shop 'Muse,' which was proposed as its research result, was designed with having the main concept as urban naturalism, which points to the urban and sophisticated coordination, and to the simple personality and rational value, as one method of utilizing VMD in the differentiated dress shop. And, it is desired to be performed the researches on the development and the utilization plan for diverse VMD programs in the dress shop down the road.