• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.137-148
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• 2016

The purpose of this study is to examine viewers' intentions to watch movies after viewing online banner advertisements of movies, and verify the mediation effect of flow and association to research how the interactivity of movie banner advertisements influences viewers. For the study, trailer and advergame banners for three genres of movies were made, and an online survey was conducted with 146 adults. As a result, based on 5 hypothesis tests, the study enables us to conclude that the interactivity of the advergame banners results in a higher viewer intention of watching movies compared to trailer banners by inducing a flow experience among banner users not an association experience.

• The Journal of Information Technology
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• v.4 no.3
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• pp.49-64
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• 2001

The purpose of this study was to observe whether the status of a firm's website affects the performance of the other affiliated websites. In other words, whether or not the website could improve its performance from developing high-status affiliation was investigated. The status of a website being affiliated was measured based on the number of citations, and the performance of a website developing affiliation on the number of visitors. The affiliation between websites was defined as banner links. For the analysis, the status of the initiator's website, that might be expected to affect the website performance, was controlled. To achieve the purpose of this study, a field study method was adopted. To obtain the data, an unprecedented method employing a program that gathers all related information concerning a specific website was used. The findings of this study indicated that the website developing high-status affiliation did not significantly improve its performance. Such findings different from previous research may have resulted from different characteristic of affiliation and limited samples available.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.29-41
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• 2022

Since the first sale of a banner advertisement in 1995, electronic commerce has become a new transaction channel for consumers. With more than 20 years of its history, electronic commerce has become an important consumption channel for everyone and inexperience is no more a reason that discourages the consumption through this channel. The great expansion of this channel is now a formidable thereat to traditional channels. However, products with high asset specificity and complexity are still having difficulty to be traded over the online channel where the experience of the products for a consumer is limited. Especially, variations of the same product's quality depending on how pre-owners used the product and high complexity to describe the quality of the products prevent used goods from being traded over e-channels. Added to that, the information asymmetry between sellers and buyers for used goods makes the establishment of market transaction difficult. Considering the challenges, the current case study discusses thredUP, a clothing resale platform company. In this paper, we study how the company could overcome those limitations in this toughest resale market through the use of AI for dynamic pricing and standarized product quality ratings. In addition, we also hope to provide readers with the opportunity to understand the secondhand industries and its market, and see where it is heading for in the future.

• Journal of Information Technology Application
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• v.3 no.1
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• pp.1-21
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• 2001

The explosive growth of the Internet and the increasing popularity of the World Wide Web have generated significant interest in the development of electronic commerce in a global online marketplace. The rapid adoption of the Internet as a commercial medium is rapidly expanding the necessity of Web advertisement as a new communication channel. if proper Web advertisement could be suggested to the right user, then effectiveness of Web advertisement will be raised and it will help company to earn more profit. So, this article describes a personalized advertisement technique as a part of intelligent customer services for an electronic newspaper provide. Based on customers history of navigation on the electronic newspapers pages, which are divided into several sections such as politics, economics, sports, culture, and so on, appropriate advertisements (especially, banner ads) are chosen and displayed with the aid of machine learning techniques, when customers visit to the site. To verify feasibility of the technique, an application will be made to one of the most popular e-newspaper publishing company in Korea.

• Archives of design research
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• v.15 no.1
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• pp.203-211
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• 2002

The appearance of Internet, the 5th medium which has succeeded newspaper, magazine, TV, radio, creates WEB MAGAZINE to overcome the restriction of space and time. This paper has conducted the contents and visual points of view in webmagazine. Through case study, the following and identify for the analysis of the webmagazine contents and visual format. Firstly, communication at webmagazine is carried out at the user-centered atmosphere. Secondly, Even through an aesthetic is emphasized in the webmagazine, when web designer compose of the web site, it is necessary to find the proper methodology under the basis of user's behavior. Thirdly, Although webmagazine required the visual form, we should know that the evaluation of webmagazine should be implemented by users. Therefore, webmagazine should be designed by the user-centered layout.