• Information Systems Review
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• v.11 no.3
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• pp.1-17
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• 2009

A growing percentage of internet users have maintained a personal website, blog, and the articles published by blog users play important roles to other users' purchasing decision as reliable information or knowledge. Therefore blog has been recently regarded as a promising marketing tool, for the brand image campaigns and sales management of companies. However, the effect is not easy to be verified when blog users recognize it to be negative the marketing activity utilizing blogs. Hence, the purpose of this paper is to identify the relationship between the customers' blog usage level and their response to blog marketing. To such purposes, this study is designed to survey the followings on office workers; Blog Quotient as a blog usage level of customers, response to blog marketing, the relation between Blog Quotient and demographic variables, and the relation between Blog Quotient and response to blog marketing. The results show that Blog Quotient has a significant relation with customers' response to blog advertisement and a company should consider the target customers' blog usage level to plan a blog marketing strategy.

• The Journal of Information Systems
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• v.15 no.2
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• pp.31-47
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• 2006

The Internet has been developed interactive media for electronic commerce. This progress is affected by the growth and adoption of virtual community technology, real time dialogue, and video conference etc. Recently, 'blogs' are rapidly diffusing to personal media on the internet. In this paper, we first review the previous research relevant to 'blogs', and then analyze the business models for blog systems presented by previous researchers. We develop a yard-sale shopping mall on the basis of analysis, design, and implementation of blog application for e-commerce, using Mcrosoft ASP.Net. This article describes the yard-sale shopping mall on a blog, presents an example of its abilities, and describes planned future research.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.45-52
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• 2008

The purpose of this study was to verify and analyze the factors that influence the intention using the travel-blog. This study sought to find out the motivation factors of a Blog. Also, This paper tests the updated model of information systems success proposed by Delone and McLean using a field study of a travel-blog. The three dimensions of the blog Quality were information, design and system. And The three dimensions of the motivation factors were pride, enjoyment and ease of use. Questionaries are collected from 196 peoples who are using the travel-blog. The results of study show, first, that information quality, pride and enjoyment are significant predictors of user satisfaction, second, that pride, enjoyment, and satisfaction are significant of reuse intention with the travel-blog. Third, ease of use did not have positive effects on reuse intention to travel-blog.

• International Commerce and Information Review
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• v.10 no.4
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• pp.23-45
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• 2008

As Knowledge Management (KM) has taken an essential position of managing businesses in the knowledge-oriented society, many companies have adopted Knowledge Management System (KMS) into their organization. Many have questioned, however, in the result and the effectiveness in KMS. The purpose of this study is to explore ways to improve the current KMS by analyzing and identifying the causes that affect effectiveness of KMS. Blog which is an effective tool for communication could be used for KMS in order to make KMS more user friendly and more effective. This research is intended to conduct an empirical study on the differences between Blog-based KMS and Non-Blog-based KMS and suggest resolutions to potential issues of KMS. Blog-based KMS users show higher degree of satisfaction and usage toward their system. The result of this study suggests that the differences between two groups are primarily on system quality and knowledge quality, and many of these differences come from functions and characteristics of Blog.

• The Journal of Information Systems
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• v.20 no.4
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• pp.145-162
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• 2011

Recently Micro-blog service is used quickly in our life with dissemination of Smart-phone. This study performed based on a view that there is a difference of user's intention to reuse Web-blogs & Micro-blogs. This study also based on the existing motive theory for using which considers five factors-information, entertainment, interaction, personalization, and convenience. The AMOS structure equation used for the analysis of users' revisit intention. The results of the study shows that Micro-blogs are influenced by entertainment, personalization, and convenience. On the other hand, Web-blogs are influenced by entertainment, and personalization.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.400-410
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• 2008

As the number of blog users has been increasing significantly, a lot of studies have been carried out to find out what makes people use a blog or feel satisfied with it. However, most of the previous studies assumed that dissatisfaction is the opposite of satisfaction and a person who is dissatisfied with a blog does not use it, failing to explain about blog users who do not feel satisfied with their blogs but use them continually. In addition, the studies found out just blog users' motives and satisfying factors in using blogs, and did not suggest any way to improve and promote blog services. Against this backdrop, this study conducted a survey of blog users in order to examine how the satisfying factors of a blog selected through a prior study affect both satisfaction and dissatisfaction of a user. The survey results showed that the satisfying factors are divided into two groups: group A which affect satisfaction and dissatisfaction equally, and group B which affect them differently. Based on the results, this study subdivides group A into high involvement factors and low involvement ones, and group B into motivators, which strongly affect satisfaction, and hygiene factors, which strongly affect dissatisfaction. According to characteristics of each group, this study suggests ways to improve and promote blog services.

• Information Systems Review
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• v.19 no.3
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• pp.91-104
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• 2017

This study aims to understand the differences in the media characteristics of two types of media, namely, Blog and Twitter, as well as in their factors that affect product information diffusion. To achieve these objectives, the information diffusion pattern is identified by analyzing the number of product-related posts in each media based on the Bass model. The analysis results revealed that the information diffusion speed of hedonic goods was faster than that of utilitarian goods. Regardless of product type, Twitter had a higher imitation effect than Blog, while Blog had a higher innovation effect than Twitter. The results implied that users of Blog tended to find information by themselves while those of Twitter relied more on the others' evaluation than their own subjective evaluations of innovations.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.1-9
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• 2010

In the new generation of Web, commonly called "Web 2.0", blogging has facilitated the publishing information or his/her opinion on the web. Various blog retrieval algorithms have been proposed to search for blogs more effectively. However, actually keyword-based searching or link-analysis blog ranking system cannot satisfy the user's requirement. In this paper, we suggest a topic-based weighting blog retrieval system in which the links between blog writings and searching words are considered to improve the search results. Our system extracts topics from each blog and weights them much higher than other guide words. In the comparison with other systems, we see that the proposed topic-base system has better recall rate of search results.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.71-85
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• 2008

The rapid growth of blog has caused information overload where bloggers in the virtual community space are no longer able to effectively choose the blogs they are exposed to. Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Collaborative Filtering (CF) is the most successful recommendation method to date and used in many of the recommender systems. In this research, we propose a CF-based recommender system for bloggers to find their similar bloggers or preferable virtual community without burdensome search effort. For such a purpose, we apply the "Interest Value" to CF recommender systems. The Interest Value is the quantity value about users' transaction data in virtual community, and can measure the opinion of users accurately. Based on the Interest Value, the neighborhood group is generated, and virtual community list is recommended using the Community Likeness Score (ClS). Our experimental results upon real data of Korean Blog site show that the methodology is capable of dealing with the information overload issue in virtual community space. And Interest Value is proved to have the potential to meet the challenge of recommendation methodologies in virtual community space.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.61-74
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• 2009

With an exponential growth of blogs, lots of important data have appeared on blogs. However, since main topics mentioned in blog pages are quite different from general web pages, there are problems which can't be solved by general search engines. Therefore, many researchers have studied searching methods only for blogs to help users who want to have useful information on blog. We also present a blog classifying method based on similarity of titles. First, we analyze blogs and blog search engines to find problems and solution of current blog search. Second, applying our similarity algorithm on blog titles, we discuss a way to develop clustering method only for blog. Finally, by making a prototype system of our algorithm, we evaluate our algorithm's effectiveness and show conclusion and future work. We expect this algorithm could add its power to current search engine.