• Management & Information Systems Review
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• v.34 no.1
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• pp.81-101
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• 2015

This study considered eWOM communication not as persuasion process but as diffusion process and identified factors affecting eWOM spread. eWOM diffusion process can be divided into initial transmitting process and retransmission process. The current study analyzed the effects of informational traits(level of agreement, vividness, neutrality) of eWOM on the intention to retranmit eWOM and moderating effect of eWOM involvement. Research sample was gathered from young people because they are familiar with online communication process. Statistical analysis showed informational traits of eWOM all had a significant effects on the credibility of eWOM, credibility of eWOM influenced on the intention to retransmit eWOM significantly, and eWOM involvement moderated the relation between information traits of eWOM and the intention to retransmit eWOM. And then academic and managerial implication was discussed based on these findings.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.657-678
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• 2016

This study deals with the effect of online word-of-mouth (OWOM) variables on the box office. From the result of statistical analysis on 276 films with audiences of more than five hundred thousand released in the Korea from 2012 to 2015, it can be seen that the variables showing the size of OWOM (such as the number of the portal movie rater, blog, and news after release) are associated more with the box office than the portal movie rating showing the direction of OWOM as well as variables showing the inherent properties of the film such as grade, nationality, release month, release season, directors, actors, and distributors.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.93-104
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• 2021

Most of the existing studies on the volume and valence of the eWOM (electronic word of mouth) about movies and box-office revenues were conducted using online actual data (secondary data) at Yahoo Movies, IMDB.com, Naver Movies, etc. However, it is difficult to grasp psychological variables from online actual data. Therefore, existing studies using online actual data could not identify the causal relationship among volume, valence and psychological variables. This study fills this gap in the literature. This study aims to examine the direct and indirect effects (i.e. mediating effect) of the volume and valence of online reviews about movies on purchase intention through review credibility as a mediator. We conducted a survey on the South Korean consumers and a structural equation modeling. The outcomes show that the total effects of both volume and valence are significant. In addition, volume has an indirect effect only (i.e. full mediating effect) on purchase intention through review credibility, but valence has both direct and indirect effects (i.e. partial mediating effect) on purchase intention through review credibility. The theoretical and practical implications for these results are presented.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.46-46
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• 2017

최근 경기 침체에 불구하고 피부관리에 아낌없이 투자하는 소비자들이 늘어나면서 가정용 안면피부미용기기 (뷰티디바이스) 열기가 거세다. 시간과 장소에 제약이 없이 가성비가 뛰어난 가정용 안면피부미용기기 시장은 지난해 약 1000억으로 전년 대비 약 25%의 성장을 보이고 있으며 당분간 이 열기는 지속될 것이다. 본 연구는 이런 가정용 안면피부미용기기 시장이 이제 막 주목받고 있는 분야임에도 불구하고 연구된 바가 거의 없다. 라서 본 연구는 기업의 중요한 마케팅수단인 SNS의 구전 정보의 특성이 가정용 안면피부미용기기 (뷰티디바이스) 구매의도에 어떠한 영향을 미치는가를 분석하고 구매의도에 중요한 역할하는 소비자의 태도가 어떤 매개역할을 하지는 분석하여 성장해가고 있는 가정용 안면피부미용기기(뷰티디바이스) 창업기업의 마케팅 전략에 기여할 것으로 판단된다. 연구모형에 있어서 SNS의 구전정보의 특성으로는 구전정보의 방향성, 구전정보의 수량, 구전정보의 내용 품질, 구전정보의 유형 들로 독립변수를 설정하였고, 종속변수인 구매의도사이에 매개변수로서 소비자태도를 선정하였다. 서울지역 여성 소비자들 중에서 가정용 안면 피부 미용기기를 사용해 본 경험이 있는 조건부 불특정 다수를 대상으로 150개의 표본을 추출하였다. 분석 방법은 확인적 요인분석과 크론바하 알파 계수로 변수의 타당성, 신뢰성 분석을 하고 경로분석을 통하여 변수간 가설 검정을 분석중에 있다.

• Proceedings of the Korean DIstribution Association Conference
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• 2005.05a
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• pp.41-58
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• 2005

본 연구는 eWOM(온라인 구전) 효과에 영향을 미치는 요인을 문화권(국가), 소비자특성(소비자 수용성), 그리고 온라인 경험 (인터넷 사용기간, 이용시간, 온라인 쇼핑횟수)로 나누어 살펴보았다. 문헌연구들을 통해 연구문제를 도출하고 이를 비교 문화적으로 실증하기 위해 총 1,176(한국 615명, 미국 561명)명의 온라인 리뷰 사용자를 대상으로 설문조사를 실시하였다. 그 결과 개인주의적인 미국보다는 집단주의적인 한국에서 eWOM의 효과는 더 큰 것으로 나타나 문화적 영향은 유의한 것으로 나타났다. 또한 소비자 수용성이라는 소비자 특성도 eWOM 효과(온라인 리뷰의 구매 직접영향정도)에 유의한 영향을 미치는 것으로 나타났다. 그리고 온라인 경험도 유의한 영향을 미쳤는데, 인터넷 사용기간 보다는 현재의 인터넷 이용시간이나 보다 관련이 있는 온라인 쇼핑횟수와 같은 변수가 eWOM 효과에 유의한 영향을 미치는 것으로 나타났다.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.241-249
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• 2010

Companies and consumers are highly interested in online activities such as word-of-mouth(W.O.M) as marketing paradigm moved to online context. In this study, the research identified major variables affecting product review reference rate online and analyzed the difference based on those variables. According to the results, remarkable differences were discovered in four variable such as 'brand reference', 'review symbol', 'affirmation' and 'information offering'. In addition, the researcher found 'brand reference' and 'information offering' are most important factors deciding review reference rate using regression tree analysis method. Based on the results, the practical implications and further research directions for utilizing consumer online W.O.M were discussed.

• Culinary science and hospitality research
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• v.20 no.6
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• pp.275-291
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• 2014

The focus of this study was to investigate the relationships of blog's reliability, perceived benefit, perceived risk and words of mouth by online readers. Data were collected by a total of 228 persons reading actively gourmet blogs. The survey was carried out from August 1 to 15, 2014. Total 228 questionnaires were used for final analysis. Frequency analysis, descriptive statistics, exploratory factor analysis, and reliability analysis were conducted through SPSS 18.0 for final analysis, and regression analysis was conducted through AMOS 18.0 for verification of hypothesis. The hypothesized relationships among the models were tested simultaneously by using a structure equation model(SEM). The study results are like below. First, The reliability of the Gourmet blog could be confirmed again very important variable in the fields of food industry like the previous studies. Second, The reliability of the Gourmet blogs affected on the positive (+)relationship to the perceived benefits, and the negative (-)relationship to the perceived risk. Third, Reliability and perceived benefits in relation to the impact on the online word-of-mouth was positive(+). However, perceived risk was found not to affect on it. Finally, perceived benefits for the reliability of the blog have been identified as the key parameters on the online word-of-mouth. The theoretical contributions of this study and the practical implications are discussed and future research directions are detailed.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.316-318
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• 2021

영화 수익에 있어 영화의 흥행 여부는 중요한 영향을 끼친다. 영화 흥행 요인은 영화 산업의 규모가 커지면서 많은 제작사들 및 투자자들이 고려해야 하는 사항이 되었다. 따라서 영화의 흥행을 예측하기 위한 많은 모델이 연구되었다. 본 연구의 목적은 선행연구에서 흥행에 유의미한 영향을 끼친다고 밝혀진 스크린 수, 감독명, 제작사명 등의 내재적인 속성과 더불어 온라인 구전 변수를 사용하여 영화 흥행 예측 모델을 만드는 것이다. 이때 기사 수, 블로그 수와 같이 온라인 구전의 크기를 나타내는 변수들을 사용하는 대신 개봉 후 첫 주간의 관람객 리뷰를 텍스트마이닝을 이용하여 전체 리뷰 중 긍정 리뷰의 비율에 따라 점수를 매긴 후 독립변수로 사용한다. 그 후, 데이터 마이닝 기법을 활용하여 만든 모델에 앞서 언급한 독립변수를 입력 값으로 사용하여 영화의 흥행을 예측한다. 최종적으로 의사결정트리와 로지스틱회귀를 수행한 결과 영화 흥행에 영향을 주는 독립변수를 찾고 모델의 성능을 평가하였다. 로지스틱회귀의 결과 관객 수, 평점이 영화의 흥행에 특히 유의한 영향을 끼치는 변수로 선정되었고 리뷰 역시 유의한 변수로 선정되었다. 이때 만들어진 모델은 약 90%의 높은 수준의 정확도를 보여주었다. 의사결정트리의 결과 관객 수가 가장 중요한 변수로 선정되었다.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1257-1270
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• 2016

This study deals with the prediction of the total number of movie audiences as a measure for the box office. Prediction is performed by classification techniques of data mining such as decision tree, multilayer perceptron(MLP) neural network model, multinomial logit model, and support vector machine over time such as before movie release, release day, after release one week, and after release two weeks. Predictors used are: online word-of-mouth(OWOM) variables such as the portal movie rating, the number of the portal movie rater, and blog; in addition, other variables include showing the inherent properties of the film (such as nationality, grade, release month, release season, directors, actors, distributors, the number of audiences, and screens). When using 10-fold cross validation technique, the accuracy of the neural network model showed more than 90 % higher predictability before movie release. In addition, it can be seen that the accuracy of the prediction increases by adding estimates of the final OWOM variables as predictors.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.107-130
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• 2012

In Twitter, a user can post a message below 140 characters on his/her account, and can also repost a message of other users who the user follows. The message posted by the user in turn can be seen and reposted by other users who follow the user, which is called Re-tweet (RT). While some messages spread widely, other messages have relatively less or no RT. What factors cause these quantity variances of RT originated from original messages? How can the messages become influential in online social networks? As an effort to answer the above questions, we focused on information vividness, message characteristics, and originator characteristics. In perspective of managerial implication, we expect that the findings of this paper will provide corporations with helpful insight on the Word-of-Mouth (WOM) effect for efficient and effective advertisements and communications when they send a message of new products or services through Social Network Services. In perspective of academic implication, we identify the effect of contents of a message on WOM, which has been dealt with by few social network researches.