• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.49-65
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• 2014

Word of Mouth (WOM) is a behavior used by consumers to transfer or communicate their product or service experience to other consumers. Due to the popularity of social media such as Facebook, Twitter, blogs, and online communities, electronic WOM (e-WOM) has become important to the success of products or services. As a result, most enterprises pay close attention to e-WOM for their products or services. This is especially important for movies, as these are experiential products. This paper aims to identify the network factors of an online movie community that impact box office revenue using social network analysis. In addition to traditional WOM factors (volume and valence of WOM), network centrality measures of the online community are included as influential factors in box office revenue. Based on previous research results, we develop five hypotheses on the relationships between potential influential factors (WOM volume, WOM valence, degree centrality, betweenness centrality, closeness centrality) and box office revenue. The first hypothesis is that the accumulated volume of WOM in online product communities is positively related to the total revenue of movies. The second hypothesis is that the accumulated valence of WOM in online product communities is positively related to the total revenue of movies. The third hypothesis is that the average of degree centralities of reviewers in online product communities is positively related to the total revenue of movies. The fourth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. The fifth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. To verify our research model, we collect movie review data from the Internet Movie Database (IMDb), which is a representative online movie community, and movie revenue data from the Box-Office-Mojo website. The movies in this analysis include weekly top-10 movies from September 1, 2012, to September 1, 2013, with in total. We collect movie metadata such as screening periods and user ratings; and community data in IMDb including reviewer identification, review content, review times, responder identification, reply content, reply times, and reply relationships. For the same period, the revenue data from Box-Office-Mojo is collected on a weekly basis. Movie community networks are constructed based on reply relationships between reviewers. Using a social network analysis tool, NodeXL, we calculate the averages of three centralities including degree, betweenness, and closeness centrality for each movie. Correlation analysis of focal variables and the dependent variable (final revenue) shows that three centrality measures are highly correlated, prompting us to perform multiple regressions separately with each centrality measure. Consistent with previous research results, our regression analysis results show that the volume and valence of WOM are positively related to the final box office revenue of movies. Moreover, the averages of betweenness centralities from initial community networks impact the final movie revenues. However, both of the averages of degree centralities and closeness centralities do not influence final movie performance. Based on the regression results, three hypotheses, 1, 2, and 4, are accepted, and two hypotheses, 3 and 5, are rejected. This study tries to link the network structure of e-WOM on online product communities with the product's performance. Based on the analysis of a real online movie community, the results show that online community network structures can work as a predictor of movie performance. The results show that the betweenness centralities of the reviewer community are critical for the prediction of movie performance. However, degree centralities and closeness centralities do not influence movie performance. As future research topics, similar analyses are required for other product categories such as electronic goods and online content to generalize the study results.

• The Journal of the Korea Contents Association
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• v.8 no.2
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• pp.1-8
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• 2008

The information system in which users can utilize to control and to get the filtered information efficiently has appeared. Content-based filtering can reflect content information, and it provides recommendation by comparing the feature information about item and the profile of preference. This has the shortcoming of the varying accuracy of prediction depending on teaming method. This paper suggests the discovery of preference through learning the profile for the content-based filtering. This study improves the accuracy of recommendation through learning the profile according to granting the preference of 6 levels to estimated value in order to solve the problem. Finally, to evaluate the performance of the proposed method, this study applies to MovieLens dataset, and it is compared with the performance of previous studies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.141-149
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• 2010

The success of movie 'Avatar' make people be interested in 3D stereoscopic movie, and government and 3D industry acknowledge that it is another opportunity to develop 3D market since 1920s. However, despite much interest little research to evaluate the effect of 3D stereoscopic exists. The present research aimed to disclose 3D effect compared to 2D by assumption of the importance of 3D stereoscopic and little evaluation to that as well. When audience are exposed to 3D stereoscopic, many outcomes are supposed to be differentiated from when to 2D. From this hypothesis, this paper examined mood, attitude, and presence as dependent variables. Using polarized stereoscopic projection display, 30 participants watched 2D and another 30 watched 3D stereoscopic movie which were the same content. On conclusion, the two groups were not significantly different and this involved much insight.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.532-535
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• 2008

The requirement of Digital Culture Content(Movie, Music, Animation, Digital TV, Exhibition and etc.) is increasing so variety and quantity of content is also increasing. The Movie what majority of the digital Content is developing of technology and data. In the result, the efficient retrieval service has required and user want to use a recommendation engine and semantic retrieval methods through the recommendation system. Therefore, this paper will suggest analysing trait element of digital content data, building of retrieval technology, analysing and retrieval technology base on KANSEI vocabulary and etc. For the these, we made a extraction technology of trait element based on semantics and KANSEI processing algorithm based on color information.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.2
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• pp.41-54
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• 2019

The cinema circuit is facing a digital, network, and mobile age, which expands non-theater accessibility to movies. Application platforms are situated as the most competitive business model that provide digital content such as games, music, books, and movies. Consumers can acquire content-related information not just offline, but online as well. Therefore, item information provided by application platforms is required. The information provided by application platforms consists of richly descriptive information such as storyline summary, consumer reviews, and related articles, while non-descriptive normative information covers data such as sales ranking, release date, genre, rental or purchase cost, domestic/foreign classification, consumer rating, number of consumer ratings, film rating, and so on. In this study, we surveyed and analyzed statistically the correlation between real-time sales ranking and other comparable non-descriptive information.

• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.1
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• pp.133-145
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• 2000

Costume in movies are used as an instrument to signify the personality image and status of characters, and even the main theme of movie itself. The purpose of this paper is to verify the feministic meaning of bloomer costume used in movie, 「OSCAR and LUCINDA」. The bloomer costume was anti-fashion in crinoline period, when women was normally not allowed to put on trousers. To achieve the purpose, I used content analysis to obtain meanings from existing literature and video tapes(including, slides and pictures). Bloomer costume, introduced by Mrs. Amelia Bloomer at 1850s, is an anti­fashion to express women's right to wear trousers that were exclusively used by men since the medieval age. In this sense, bloomer costume itself is a costume expressing values of women's emancipation movement. In 「OSCAR and LUCINDA」, heroine, Lucinda, with bloomer costume is described as a woman who has strong motivation toward work, who actively looks for a man she loves, and who has free­will to involve herself in what she wants, even gambling. This is not surprising in a sense that Lucinda's bloomer costumes itself signifies the meanings of feminism. I found that bloomer costume was well described in the movie from the historical point of view. But some details, including type of trousers, were expressed without strict historical evidence. Overall, it is certain that 「OSCAR and LUCINDA」, with a heroine wearing bloomer costume was a big step towards women's emancipation in movies.

• Journal of Fashion Business
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• v.24 no.3
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• pp.1-16
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• 2020

The purpose of this study is to find the aesthetic characteristics of costume design as mise-en-scène in movie 'The Danish Girl'. the methods of this study was carried out prior research, literature studies and qualitative research of visual content analysis by DVD. The spatial and temporal scope of the study is Copenhagen, Denmark from 1926 to 1931, and Paris, France. The styles of the times(1925 ~ 1931) and the spatial sensibilities of women's costumes in terms of form and color were examined thorough out the story. As the results, the costume are based on the 1920's Art Deco style like straight silhouette and some of them are oval soft silhouette. The colors are harmonized or in conflict based on Nordic colors such as blue-green, gray and yellow. Rather than expressing the internal conflict between the two main characters, the costume was focused on the role and character. And also exotic tastes like Japanese and Egyptian textiles patterns and decorations. Therefore, it was found that the movie costume played a role as one of the very important mise-en-scène.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.50.2-50
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• 2001

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.163-167
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• 2006

The previous media has the function that was information of the contents was delivered by only content providers, but the current media makes the interactive function between content providers and general receivers. For this reason, the role of receivers are also expanded in the realm of multimedia and receivers have the roles of the sending and getting information for content user, not more receiver. The constituent members relative to content are content providers, users and user-created content. This paper introduces "the wonderland" the animation process management system for high-level user group. Also, most of images which are made of the animation process are publicly accessible, providing the public or the average user group for making resources easily by using "the wonderland." Although, the general user can get an environment to reedit their own new movie with making the most of provided movie sources are scene and cut units, according to one's taste and one's idea. The materialization of process management system can expand dramatically enough contents, and save the time to edit digital animation or movie, control numerous sources, made an animation processing, and the result output. Such "the wonderland" will significantly help to create future content.

• Korean Management Science Review
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• v.27 no.2
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• pp.81-95
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• 2010

There is an increasing interest in contents such as movie, drama and game using transmedia storytelling. It includes Le Grand Chef, The War of Flower, Dae Jang Geum, The Matrix, Harry Potter and The Lord of the Rings. However, transmedia contents have not always been successful. To study the factors affecting possible outcomes of transmedia storytelling, we analyzed the intention on transmedia of potential consumers who have not been exposed to transmedia contents before. To this end, we investigated two different cases : first, potential customer intention to watch dramas which will be produced after launching comic-based movies; second, potential customer intention to see movies which will be made after broadcasting comic-based TV dramas. In each case, we analyzed the outcomes from potential customers by applying several variables including gender, exposure to the original and components of contents (plot, quality of act and music etc). Our study showed that potential customers prefer movies or TV dramas with quality of acting, directing, casting and storylines. Interestingly, the quality of acting is more important in dramas than in movies and casting is an appealing factor to potential customers in movies. In TV drama cases, potential customers have high watching intentions when they read the original content. Among them, male potential customer have low watching intentions on TV drama when they did not read the original content. However, female potential customers have high watching intentions on TV drama regardless of the previous exposure to the originals. In movie cases, female potential customers have higher intentions on seeing movies than male. These results suggest that one needs to consider several factors such as casting, acting and gender for generating transmedia contents with a high probability of success.