• Title/Summary/Keyword: blog

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The Effect of Consumers' Value Motives on the Perception of Blog Reviews Credibility: the Moderation Effect of Tie Strength (소비자의 가치 추구 동인이 블로그 리뷰의 신뢰성 지각에 미치는 영향: 유대강도에 따른 조절효과를 중심으로)

  • Chu, Wujin;Roh, Min Jung
    • Asia Marketing Journal
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    • v.13 no.4
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    • pp.159-189
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    • 2012
  • What attracts consumers to bloggers' reviews? Consumers would be attracted both by the Bloggers' expertise (i.e., knowledge and experience) and by his/her unbiased manner of delivering information. Expertise and trustworthiness are both virtues of information sources, particularly when there is uncertainty in decision-making. Noting this point, we postulate that consumers' motives determine the relative weights they place on expertise and trustworthiness. In addition, our hypotheses assume that tie strength moderates consumers' expectation on bloggers' expertise and trustworthiness: with expectation on expertise enhanced for power-blog user-group (weak-ties), and an expectation on trustworthiness elevated for personal-blog user-group (strong-ties). Finally, we theorize that the effect of credibility on willingness to accept a review is moderated by tie strength; the predictive power of credibility is more prominent for the personal-blog user-groups than for the power-blog user groups. To support these assumptions, we conducted a field survey with blog users, collecting retrospective self-report data. The "gourmet shop" was chosen as a target product category, and obtained data analyzed by structural equations modeling. Findings from these data provide empirical support for our theoretical predictions. First, we found that the purposive motive aimed at satisfying instrumental information needs increases reliance on bloggers' expertise, but interpersonal connectivity value for alleviating loneliness elevates reliance on bloggers' trustworthiness. Second, expertise-based credibility is more prominent for power-blog user-groups than for personal-blog user-groups. While strong ties attract consumers with trustworthiness based on close emotional bonds, weak ties gain consumers' attention with new, non-redundant information (Levin & Cross, 2004). Thus, when the existing knowledge system, used in strong ties, does not work as smoothly for addressing an impending problem, the weak-tie source can be utilized as a handy reference. Thus, we can anticipate that power bloggers secure credibility by virtue of their expertise while personal bloggers trade off on their trustworthiness. Our analysis demonstrates that power bloggers appeal more strongly to consumers than do personal bloggers in the area of expertise-based credibility. Finally, the effect of review credibility on willingness to accept a review is higher for the personal-blog user-group than for the power-blog user-group. Actually, the inference that review credibility is a potent predictor of assessing willingness to accept a review is grounded on the analogy that attitude is an effective indicator of purchase intention. However, if memory about established attitudes is blocked, the predictive power of attitude on purchase intention is considerably diminished. Likewise, the effect of credibility on willingness to accept a review can be affected by certain moderators. Inspired by this analogy, we introduced tie strength as a possible moderator and demonstrated that tie strength moderated the effect of credibility on willingness to accept a review. Previously, Levin and Cross (2004) showed that credibility mediates strong-ties through receipt of knowledge, but this credibility mediation is not observed for weak-ties, where a direct path to it is activated. Thus, the predictive power of credibility on behavioral intention - that is, willingness to accept a review - is expected to be higher for strong-ties.

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RSS Channel Recommendation System based on Interesting Field (사용자 관심분야에 따른 RSS 채널 추천 시스템)

  • Kim, Jun-Il;Lee, Young-Seok;Cho, Jung-Won;Choi, Byung-Uk
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.1153-1156
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    • 2005
  • We propose the RSS Channel retrieval system to activate the blog information transmission. The system consists of a web crawler and blog DB. Web Crawler moves in limited breath first searching method and it collects the RSS Channel Address. Blog DB renews information using RSS. The user could be recommended the RSS Channel using the various query.

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The Effects of Simplicity and Interactivity in Blog Services

  • Lee, Dong-Won;Moon, Jung-Hoon;Kim, Yong-Jin
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.488-493
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    • 2007
  • The main goal of this study is to propose a model of simplicity and interactivity effect on usability in the blog services. As web-based applications become increasingly complicated, the need for simplicity in user interface design has grown for better usability. Also, interactivity has been known to influence on usability. Previous studies argued that usability is a key factor for system success. Usability is concerned with attributes of an application that makes it understandable, learnable, easy to use, and attractive. For the complicated technology, perceived control, related to direct manipulation of an object, is important. In this regard, we posit that simplicity, interactivity, and perceived control makes important antecedents to usability. Finally, we tested that the effect of usability on user s loyalty with the blog services along with trust and satisfaction. Future studies will empirically examine the proposed model, emphasizing the importance of simplicity and interactivity for the user interface design.

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가상 커뮤니티 공간에서 블로거를 위한 추천시스템

  • Kim, Jae-Gyeong;O, Hyeok;An, Do-Hyeon
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2005.11a
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    • pp.415-424
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    • 2005
  • 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. Therefore, we propose a CF-based recommender system for bloggers in the virtual community space. Our proposed methodology consists of three main phases: In the first phase, we apply the "Interest Value" to a recommender system. The Interest Value is a quantity value about user preference in virtual community, and can measure the opinion of users accurately. Next phase, we generate the neighborhood group based on the Interest Value. In the final phase, we use the Community Likeness Score (CLS) to generate the top-n recommendation list. The methodology is explained step by step with an illustrative example and is verified with real data of a blog service provider.

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A Multi-Agent MicroBlog Behavior based User Preference Profile Construction Approach

  • Kim, Jee-Hyun;Cho, Young-Im
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.1
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    • pp.29-37
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    • 2015
  • Nowadays, the user-centric application based web 2.0 has replaced the web 1.0. The users gain and provide information by interactive network applications. As a result, traditional approaches that only extract and analyze users' local document operating behavior and network browsing behavior to build the users' preference profile cannot fully reflect their interests. Therefore this paper proposed a preference analysis and indicating approach based on the users' communication information from MicroBlog, such as reading, forwarding and @ behavior, and using the improved PersonalRank method to analyze the importance of a user to other users in the network and based on the users' communication behavior to update the weight of the items in the user preference. Simulation result shows that our proposed method outperforms the ontology model, TREC model, and the category model in terms of 11SPR value.

Guessing Job of Anonymous user in Blog/SNS by using the Opinion Mining (오피니언 마이닝을 이용한 블로그/SNS 에서 익명 사용자의 직업 예측)

  • Yu, Jeun Kuk;Yoon, Jae Yeol;Kim, Ung-mo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.1215-1217
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    • 2011
  • 최근 Blog/SNS가 새로운 커뮤니케이션 도구로 정착이 되면서 지위 고하를 막론하고 많은 사람들이 자신의 의견을 인터넷 상에 표현을 하고 있다. 이러한 많은 의견들은 다른 사람들과 의견을 교환하는 역할도 하고 있으나 여기에 신뢰할 수 없는 부정확한 정보 또한 다수 포함 되어 있다. 본 논문에서는 Blog/SNS의 익명의 사용자 직업을 추측하여 이용자로 하여금 이러한 부정확한 정보를 판단할 수 있는 하나의 수단과 이용의 판단에 근거를 제시한다. 이러한 방법을 통해 사용자는 무수한 정보들 속에서 신뢰성 있는 정보와 신뢰성이 없는 정보를 보다 정확하게 판단 할 수 있을 것이다.

An Empirical Study on the Factors Influencing the Use of BLOG and Job Satisfaction (업무특성에 따른 블로그 사용의도와 업무만족에 관한 연구)

  • Yang, Hee-Dong;Kim, Hye-Jung;Kang, So-Ra
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.12
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    • pp.3824-3832
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    • 2009
  • Would it be true that cutting off using BLOG in business hour prevents that job performance decreases? Even though it is right, would the worker have different reason of using BLOG according to job characteristic? This is the purpose of this study to search the answers for the questions above. Under the first hypothesis, (factors having the people use BLOG can influence the job satisfaction), independent variable was set to three factors and define as 'Interoperability', 'Informative', 'Amusement' respectively and dependent variable was set to job satisfaction in this study. The result of analyzing this hypothesis was that two factors('Interoperability', 'Informative') haveinfluence on job satisfaction but 'Amusement' factor hadn't any influence on job satisfaction. For another hypothesis, (the factor having the worker use BLOG would have different influence on job satisfaction according to job characteristic), Job characteristic was set to 3 group (fixed/unfixed, individual/co-operational, static/active) in this study and these variables were converted to dummy variable for validating the moderating effect on both variables(independent/dependent). The result of analyzing this hypothesis was that all dummy variables set to 3 groupshadn't any moderating effect on both variables. Because a dummy variable couldn't be contained the job characteristic exactly.

Biomass Regressions of Pinus densiflora Natural Forests of Four Local Forms in Korea (한국산(韓國産) 4개(個) 지역형(地域型) 소나무천연림(天然林)의 물질(物質) 현존량(現存量) 추정식(推定式)에 관(關)한 연구(硏究))

  • Park, In Hyeop;Kim, Joon Seon
    • Journal of Korean Society of Forest Science
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    • v.78 no.3
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    • pp.323-330
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    • 1989
  • Pinass densiflora natural forests of four local forms in Korea were studies to investigate effective biomass estimation method. Dimension analysis was used and three allometric regression models, such as logWt=A+BlogD, logWt=$A+B1ogD^2H$ and 1ogWt=A+BlogD+ClogH were applied to estimate biomass, The most accurate estimation was made by the regression model of logWt=A+BlogD+ClogH where Wt is dry weight, D is diameter at breast height, and H is tree height. However, dry weights of cones and dead branches were remotely related to tree size factor, such as D and H. In the interest of practical use. generalized allometric regressions for all samples trees of four stands were computed and analysis of covariance was used to compare the allometric regressions among the four stands. Based on the test criteria applied in this study, significant differences were found in terms of error variance and regression intercept, not in terms of regression slope. These trends suggest a generalized biomass regression is not valid for accurate estimation over a range of four local form stands.

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Analysis of Perception on Happy Housing Using Blog Mining Technique (블로그 마이닝을 활용한 행복주택의 인식 분석)

  • Hwang, Ji Hyoun
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.211-223
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    • 2022
  • This study aims to verify the possibility of using the blog mining to collect public opinion in the field of housing policy, thus, it collected blog posts with the keyword 'Happy Housing', extracted the main keywords from them, and analyzed the public's perception through keyword and word cluster analysis. 137,002 blog posts were used as analysis data from May 2013, when social discussion about happy housing spread, to August 2021, and the words derived by dividing the period into three stages in consideration of major housing policies and data collection were analyzed. The results are as follows. In the keyword analysis, overall, the importance of words related to the location, the number, the size, and the conditions for occupancy of Happy Housing is high. In the first stage, government policy implementation, in the second stage, the application process for Happy Housing, and in the third stage, recruitment notices, occupancy qualifications, and rental conditions are found to be highly important. In cluster analysis, project progress, application process, and project area were drawn as main themes at all stages. In particular, policy implementation and implementation plan in the first stage, occupancy qualification and financial support in the second stage, and policy implementation and occupancy qualification in the third stage were drawn as main themes. These results present the possibility of the blog mining as a method of collecting public opinion by sharing policy-related information, reflecting social issues, evaluating whether policies are delivered, and inferring the public's participation in policies.

A Study on the Use of Blog in Business : A TAM Perspective (기업의 블로그 사용에 관한 연구 기술수용모델 연구: 관점에서)

  • Heo, Seong-Guk;Choi, Jae-Hwa
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.872-891
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    • 2008
  • 사회적 소프트웨어인 블로그(Blog) 사용이 급증함에 따라 기업 내에서 블로그를 활용하는 기업들이 늘어나고 있다. 기업에서 블로그가 외부적으로는 고객 관계, 광고, 판매 촉진 또는 파트너와의 커뮤니케이션이나 협력의 도구로 사용되고, 내부적으로는 협업, 지식 관리, 공동체 개발 등의 도구로 사용되고 있다. 본 연구는 기업들이 내부적으로 블로그를 사용함에 있어 기술적 수용에 미치는 영향에 관하여 조사하였다. 연구 모형은 기술수용모델(Technology Acceptance Model; TAM)을 근간으로 모델을 설정 하였다. 데이터 수집은 설문지 방식으로 기업 블로그를 도입한 국내 주요 기업을 대상으로 실시하였다.

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