• Asia pacific journal of information systems
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• v.21 no.3
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• pp.1-18
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• 2011

Blog have become very popular with Internet users as one of the latest forms of online communication as well as knowledge sharing tools. However, blogs generate growing concerns regarding information privacy issues. This study, based on social exchange theory, presents results about bloggers' information sharing behavior. The 157 surveys are collected from a large university in the eastern U.S. The survey results indicate that trust which has four second order factors: economy based trust, trust in reciprocity, trust in other bloggers and trust in social interaction positively affects bloggers' information sharing behavior. However, online information privacy concerns have a negative impact on the relationship between trust and bloggers' information sharing behavior.

• 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 the Korean Operations Research and Management Science Society
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• v.37 no.1
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• pp.89-104
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• 2012

As the generalization of using computer and the internet, most people, who would decide the acceptance of new information technology (IT), may consider the current systems which have been used so far. The objective of this study was to analyze the relationships between technology acceptance model (TAM) and the switching costs which may incur during switching from the current system into another on. For this purpose, this study suggested the hypotheses, in which continuity cost and setup cost, two types of switching costs in IT adoption, would influence perceived usefulness and perceived ease of use respectively. Moreover, the moderation effects of system types, hedonic system and utilitarian system, on the relationships between switching costs and TAM, were also suggested as the hypotheses. In order to prove the validity of the hypotheses, two groups were surveyed. Before surveying, to the one group who were believed to be a user of 'Cyworld', a new blog service, Naver Blog, was introduced. Similarly, to another group, Google Docs was introduced. The analysis by Partial Least Square (PLS) approach showed that most hypotheses in this study were statistically supported.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1334-1339
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• 2009

To achieve the best performance of a project, uncertainties involved in the building construction process need to be identified in the planning phase of the project. Uncertainties seldom create a positive impact on construction project, but they almost cause delay and increase costs. Therefore, risk management plays a significant role in construction to minimize risk occurred due to uncertainties of a project. Although the importance of the risk management has been known to the construction industry, it is not enough to be developed to meet the demands of the industry. It has not been enough for Systems to control schedule risks for managers in the field. Therefore, a tool is necessary to efficiently control risks. The propose of this study is to invent Schedule Risk Control System Module to prepare for risks in preconstruction phase.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.487-492
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• 2011

As a knowledge-based economy is emerging, knowledge management (KM) is being rapidly disseminated in both academic circles and the business world. Accordingly, how to effectively manage knowledge is vital to the survival and advance of a company, particularly in project-based industries such as construction. For these reasons, construction companies have adopted IT-based Knowledge management systems (KMS), which is the technology platform and infrastructure that an organization employs to support knowledge management. However, many construction companies have spent resources on developing a KMS that only focus on codification. Furthermore, small and medium-sized companies have limited resources to afford extensive investments. This research addresses the problems found in the current KMS and develops a web-based construction knowledge management portal (CKMP). To achieve these objectives, a case study is conducted and requirements for implementing KM are identified. Based on the identified requirements, this paper builds CKMP using Expert Index (EI), blog, ontology based knowledge retrieval, and wikiblog. The most important functionality of CKMP is their fundamentals to synchronize and support KM process. In order to validate the CKMP, a pilot test with actual users is conducted, and the usability of the system is compared with the current systems. This study is relevant to both the construction industry and academia, as it provides a means of enhancing the performance of KM.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.398-406
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• 2005

현재 인터넷상의 개인미디어로 각광 받고있는 블로그는 개인의 일상적인 정보라는 기본적 기능에서 사용자에게 빠른 속도로 사용이 전파되기 시작하여 그 영역을 확대해 기업 마케팅 채널의 일환으로 시장에 급격하게 수용되고 있다. 본 연구에서는 문헌연구를 통하여 블로그의 개념을 이론적으로 파악한 후 어떤 기술적인 특징을 가지고 마케팅 분야에 활용되는지를 고찰하였다. 이어서 블로그 본연의 개인적인 공간이라는 영역을 최대한 부각시키면서 블로그 상에서 전자상거래를 구현할 수 있는 논리적인 방안을 제시한 다음, 블로그 기반의 Yard-Sale시스템의 데이터베이스와 구성물(Class)의 설계, 이에 기반한 아키텍쳐의 실제적인 구현과 운영을 수행하였다.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.45-56
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• 2009

There are many internet users who collect the public opinions and express their opinions for internet news or blog articles through the replying comment on online community. But, it is hard to search and explore useful messages on web blogs since most of web blog systems show articles and their comments to the form of sequential list. Also, spam and malicious comments have become social problems as the internet users increase. In this paper, we propose a clustering and visualizing system for responding comments on large-scale weblogs, namely 'Daum AGORA,' using similarity analysis. Our system shows the comment clustering result as a simple screen view. Our system also detects spam comments using Needleman-Wunsch algorithm that is a well-known algorithm in bioinformatics.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.53-74
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• 2018

Since South Korea has an economic structure that has a characteristic which market-dependent on overseas, the tourism industry is considered as a very important industry for the national economy, such as improving the country's balance of payments or providing income and employment increases. Accordingly, the necessity of more accurate forecasting on the demand in the tourism industry has been raised to promote its industry. In the related research, economic variables such as exchange rate and income have been used as variables influencing tourism demand. As information technology has been widely used, some researchers have also analyzed the effect of media on tourism demand. It has shown that the media has a considerable influence on traveler's decision making, such as choosing an outbound destination. Furthermore, with the recent availability of online information searches to obtain the latest information and two-way communication in social media, it is possible to obtain up-to-date information on travel more quickly than before. The information in online media such as blogs can naturally create the Word-of-Mouth effect by sharing useful information, which is called eWOM. Like all other service industries, the tourism industry is characterized by difficulty in evaluating its values before it is experienced directly. And furthermore, most of the travelers tend to search for more information in advance from various sources to reduce the perceived risk to the destination, so they can also be influenced by online media such as online news. In this study, we suggested that the number of online media posting, which causes the effects of Word-of-Mouth, may have an effect on the number of outbound travelers. We divided online media into public media and private media according to their characteristics and selected online news as public media and blog as private media, one of the most popular social media in tourist information. Based on the previous studies about the eWOM effects on online news and blog, we analyzed a relationship between the volume of eWOM and the outbound tourism demand through the panel model. To this end, we collected data on the number of national outbound travelers from 2007 to 2015 provided by the Korea Tourism Organization. According to statistics, the highest number of outbound tourism demand in Korea are China, Japan, Thailand, Hong Kong and the Philippines, which are selected as a dependent variable in this study. In order to measure the volume of eWOM, we collected online news and blog postings for the same period as the number of outbound travelers in Naver, which is the largest portal site in South Korea. In this study, a panel model was established to analyze the effect of online media on the demand of Korean outbound travelers and to identify that there was a significant difference in the influence of online media by each time and countries. The results of this study can be summarized as follows. First, the impact of the online news and blog eWOM on the number of outbound travelers was significant. We found that the number of online news and blog posting have an influence on the number of outbound travelers, especially the experimental result suggests that both the month that includes the departure date and the three months before the departure were found to have an effect. It is shown that online news and blog are online media that have a significant influence on outbound tourism demand. Next, we found that the increased volume of eWOM in online news has a negative effect on departure, while the increase in a blog has a positive effect. The result with the country-specific models would be the same. This paper shows that online media can be used as a new variable in tourism demand by examining the influence of the eWOM effect of the online media. Also, we found that both social media and news media have an important role in predicting and managing the Korean tourism demand and that the influence of those two media appears different depending on the country.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.163-168
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• 2011

Blogs are an easy way to publish information, engage in discussions, and form communities on the Internet. Recently, there are several varieties of spam blog whose purpose is to host ads or raise the PageRank of target sites. Our purpose is to develope the system which detects these spam blogs (splogs) automatically among blogs on Web environment. After removing HTML of blogs, they are tagged by part of speech(POS) tagger. Words and their POS tags information is used as a feature type. Among features, we select useful features with X2 statistics and train the SVM with the selected features. Our system acquired 90.5% of F1 measure with SPLOG data set.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.987-999
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• 2017

Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.