• The Research Journal of the Costume Culture
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• v.24 no.5
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• pp.600-616
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• 2016

The purpose of this study was to investigate the effects of power blog self-presentation and on-line shopping mall reviews on the word of mouth (WOM) effect and apparel purchasing behavior. Consumers living in Seoul and Gyeonggi received questionnaires. There were 303 usable forms that could be analyzed by descriptive statistics, factor analysis, Cronbach's alpha, and regression analysis. The results were as follows: There was a significant effect of power blog self-presentation such as interactivity, media effect, and business intention on information acceptance through WOM. Power blog self-presentation, such as interactivity and business intention, affect information delivery by WOM significantly. There was a significant effect of review consideration, such as agreement, usefulness, enjoyment, and purity, on information acceptance of WOM. Reviews describing enjoyment, purity, and usefulness affect information delivery of WOM significantly. Business intention, media effect, and purity directly affect apparel-purchasing behavior, and affect the WOM effect as a mediator variable and then purchasing behavior. Whereas, interactivity, overstatement, and enjoyment affect the WOM effect as a mediator variable, and then affect overall purchasing behavior. Therefore, fashion firms consider active interaction with power blog visitors and promote the way of enjoying with fun through review of apparel on-line shopping mall when they try to implement viral marketing with WOM effect.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.1
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• pp.319-342
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• 2014

This study investigates the evaluations, preferences, and opinions of students' experiences with their academic library blog and to identify student suggestions on how to improve the utilization such blogs. For this study, the D academic library blog was selected for study, while employing survey and focus group research methods. The results include the students' subjective evaluations of the library blog's operations, suggestions on how to improve the operation, and how to stimulate the utilization of the blog. This study may provide insights on how to improve academic library blog operations with access, updates, content, and marketing strategies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.9B
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• pp.1259-1265
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• 2010

Recently, on-line social network has been increasing according to development of internet. The most representative service is blog. A Blog is a type of personal web site, usually maintained by an individual with regular entries of commentary. These blogs are related to each other, and it is called Blog Network in this paper. In a blog network, posts in a blog can be diffused to other blogs. Analyzing information diffusion in a blog world is a very useful research issue, which can be used for predicting information diffusion, abnormally detection, marketing, and revitalizing the blog world. Existing studies on network analysis have no consideration for the passage of time and these approaches can only measure network activity for a node by the number of direct connections that a given node has. As one solution, this paper suggests the new method of measuring the blog network activity using logistic curve model and Cosine-similarity in key words by the Map/Reduce programming model.

• International Journal of Costume and Fashion
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• v.11 no.2
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• pp.65-78
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• 2011

Social media which support to share information and communicate between online users have recently won great popularity. Of the various social services blogs have played an active role as a community in sharing delivering and exchanging information among individual users who have share similar opinions hobbies and preferences. Based on this cultural phenomenon some companies often take advantage of blogs as a marketing tool to strengthen their public relations or deliver particular information to their costumer. This study is designed to classify fashion-related blogs and define the characteristics of each type expecting significant influences on future studies on this topic. We selected 50 fashion-related blogs as subjects including 25 Korean blogs and the same number of international blogs, defined their characteristics and classified them into four different types. As the result we found that there are apparent differences between the four types of blogs: "Individual taste" blogs which noticeably reflect bloggers' own preference "Trend leader" blogs in which the bloggers intend to be trend leaders beyond expressing their preference "Fashion media" blogs which plays a significant role as a magazine by providing various information concerning fashion for costumers and "Sales promotion" blogs which are used as promotional materials to attract customers by providing product reviews or advertisements.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.360-364
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• 2009

Analyzing information diffusion in a blog world is a very useful research issue, which can be used for predicting information diffusion, abnormally detection, marketing, and revitalizing the blog world. Existing studies on information diffusion in blog networks establish explicit relationship between blogs, and analyze only the word-of-mouth effect through such explicit relationships. However, we observed that more than 85% of all information diffusion in a blog world occurs through non-explicit relationships. In this paper, we propose a new model that considers both explicit and non-explicit relationships between blogs in order to explain all information diffusion phenomena in a blog world. We verify the superiority of our proposed models through extensive experiments of information diffusions at a real blog net-work.

• The Journal of Information Systems
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• v.21 no.1
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• pp.69-91
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• 2012

The study investigates the media distinctiveness between twitter and other social media and describes how product information interpretation and responsiveness by internet users can be affected by the distinctive characteristics of twitter and blog media. The characteristics include relationship formation patterns among users, channel diversity, immediateness of information communication, information flow within media, media credibility, and management cost. Specifically, we statistically tested whether these characteristics are meaningfully differentiated by users. Results also showed that users perceived product information processing level and product evaluation direction differently based on these media characteristics. The current findings can serve as a pioneering work to provide a theoretical framework for examining social media characteristics and their impacts on consumer perception. In addition, this study practically suggests that marketers and network managers need to use differentiated communication strategies for twitters as a marketing strategic option.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.119-133
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• 2012

Recent rise of social media channel is changing social and economic paradigm and is being used as an effective communication in marketing. The following research analyzes the most employed social marketing tools such as portal advertisement, blogs, and SNS channels to effectively execute social media marketing from performance indicator and ICSI perspective, analyzes each channel's characteristics and results based on Korea distribution companies' case studies and suggests a framework to effectively use each channel. Portal site advertisements are the most effective channel to draw customers with new information and are thus linked to profit by corporations with excessive budget and workforce. Blogs target a specific range of customers providing quality information and knowledge thus improving a corporation's and its product's trustworthiness, spread the word by allowing customers to scrap the information, form social groups and synthesize ideas, events, new contents and social involvement with loyal customers. SNS channels allow customers to get involved in real time information and events, grow through network by the power of customers, react immediately to customers' needs, and execute real-time market and customer reports. Though national corporations currently rely heavily on portal site advertisements, insightful marketing professionals are showing financial results with blog and SNS. In the future, based on a precise understanding of each channel's benefits and expected results, and with a focus on flexibility, timeliness and integrated use of each channel, a portfolio of dynamic marketing as a maximizing strategy could be synthesized.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.1-8
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• 2019

Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.

• Journal of KIISE:Databases
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• v.37 no.1
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• pp.56-69
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• 2010

In blogspace, there are posts that deal with a common topic and bloggers that are interested in these posts. In this paper, we define a blog community as a group of these bloggers and posts. With a blog community, we can establish various business policies for target marketing, sharing high quality data, and mobilizing the activities in the blogspace. Unlike internet cafes, bloggers participate in blog communities without explicit membership. So, it is not easy to identify the members of a community. In this paper, we propose an effective approach for extracting a blog community that is related to a given topic. First, we choose seed posts that is highly related to a given topic, and select bloggers that are related to the topic with the seed posts. Then, we select posts that are related to the topic with the selected bloggers. By repeating this, we find all the posts and bloggers that are members of the community related to a given topic in blogspace. We verify the superiority of the proposed approach by analyzing extracted blog communities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.730-737
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• 2018

With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.