• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.597-607
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• 2013

This research examined factors in determining the success of theatrical U.S. animation movies. Based on movie characteristics and content factors, this study explore determinants of the success for animation movies. The results are follows: firstly, the success of animation movies were determined by some factors such as production expenses, the way of producing animation movies, sequential movies and viewer ratings. Secondly, there differences between the success in the U.S. and other countries. Although the success of animation movies in the U.S. were more production related factors, those in other countries were more quality related factors.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.403-411
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• 2018

This study analyzes the attitude toward new products through case studies. The contents of the case study applied to the study were analyzed about the attitude of the new product to the recently screened movie "Sanguiwon(the royal tailor)". The court was an institution that oversees the clothes of the royal family in the Chosun Dynasty. In a conservative and closed market environment, attitudes toward acceptance of new products are strongly influenced by internal and external factors. Authoritative and conservative attitudes to secure competitive advantage in existing markets ultimately hamper the acceptance of new products or cause externalities. Eventually, innovative resistance to new products emerges. On the other hand, the acceptance of new products in an open market will form an attitude toward new products, once they form a respectful attitude towards their own benefit or attitude. These market leaders, depending on the way they pursue their values, form an attitude to adhere to their products or accept innovation. The validity of this study was verified through other cases. Ultimately, success in the market for new products suggests that success can only be achieved by understanding the delivery of value to consumers.

• 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 Bigdata
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• v.3 no.1
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• pp.63-71
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• 2018

In the last five years (2013~2017), we analyzed what factors influenced Korean films that have surpassed 10 million viewers in the Korean movie industry, where the total number of moviegoers is over 200 million. In general, many people consider the number of screens and ratings as important factors that affect the audience's success. In this study, four additional factors, including the number of screens and ratings, were established to establish a hypothesis and correlate it with the presence of 10 million spectators through big data analysis. The results were significant, with 91 percent accuracy in predicting 10 million viewers and 99.4 percent accuracy in estimating cumulative attendance.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.377-388
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• 2019

The system proposed in this paper was suggested as a big data system that works in the age of artificial intelligence of the 4th Industrial Revolution. The proposed system can be a good example in terms of government 's development of new intelligent big data information system. For example, the proposed system may be introduced into the system of a department as a function of the integration of existing cinema ticket integration network or its networking. For this purpose, the proposed system transmits the user's profile to the film producer or other company, where it is provided as comparison data. Soon, the information is sent to the user-specific characteristic data and then the film-maker will be able to gauge the success of the three elements of the movie's performance, cinematic quality, and break-even point in real time, which are revealed through the movie review that the actual user feels, including the so-called 'new reinterpretation.

• Journal of information and communication convergence engineering
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• v.15 no.4
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• pp.217-226
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• 2017

Korea has the tenth largest film industry in the world; however, detailed analyses using the factors contributing to successful film commercialization have not been approached. Using big data, this paper analyzed both internal and external factors (including genre, release date, rating, and number of screenings) that contributed to the commercial success of Korea's top 10 ranking films in 2011-2015. The authors developed a WebCrawler to collect text data about each movie, implemented a Hadoop system for data storage, and classified the data using Map Reduce method. The results showed that the characteristic of "release date," followed closely by "rating" and "genre" were the most influential factors of success in the Korean film industry. The analysis in this study is considered groundwork for the development of software that can predict box-office performance.

• Journal of Platform Technology
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• v.11 no.3
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• pp.45-55
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• 2023

This paper presents a model that supports decision-makers in the Korean film industry to maximize the success of online movies. To achieve this, we collected historical box office movies and clustered them into types to propose a model predicting each type's online box office performance. We considered various features to identify factors contributing to movie success and reduced feature dimensionality for computational efficiency. We systematically classified the movies into types and predicted each type's online box office performance while analyzing the contributing factors. We used automated machine learning (AutoML) techniques to automatically propose and select machine learning algorithms optimized for the problem, allowing for easy experimentation and selection of multiple algorithms. This approach is expected to provide a foundation for informed decision-making and contribute to better performance in the film industry.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.5
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• pp.412-421
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• 2013

Motion picture industry is one of the most representative fields in the cultural industry and has experienced constant growth both worldwide and within domestic markets. However, little research has been undertaken for diffusion patterns of motion pictures, whereas various issues such as demand forecasting and success factor analysis have been widely explored. To analyze diffusion patterns, we adopted extended Bass model to reflect the potential demand of movies. Four clusters of selected movies were derived by k-means clustering method with criteria of opening strength and profitability and then compared by their diffusion patterns. Results indicated that movies with high profitability and medium opening strength are most significantly influenced by word of mouth effect, while low profitability movies display nearly monotonic decreasing diffusion patterns with noticeable initial adoption rates and relatively early peak points in their runs.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.550-553
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• 2011

영화산업의 메카라 불리우는 헐리우드를 비롯한 세계 영화계는 극심한 소재의 고갈로 비슷비슷한 내용의 반복, 기존의 영화를 리메이크하여 제작하는 관행이 점차 커지고 있다. 이런 현상은 다른 영역의 콘텐츠를 영화로 재가공하는 'One Source Multi Use'의 확산을 가지고 왔는데, One Source Multi Use의 원천 소스로 가장 각광받고 있는 것이 만화다. 미국은 1930년대 초반부터 코믹스라는 장르의 만화산업이 발전하여 방대한 그래픽노블과 코믹스를 원천소스로 '슈퍼맨', '배트맨', '스파이더맨' 등의 시리즈를 내놓고 있다. 한국 역시 많은 수의 만화원작을 보유하고 있다. 이는 한국이 다른 나라와는 확연하게 차이가 나는 만화생산 및 소비시스템을 가지고 있는 것에 기인하는데 그것이 바로 만화가게로 일컬어지는 대본소 시스템이다. 대본소를 통한 만화의 보급은 가공할 만화의 생산을 주도했고 일간지를 통해 연재된 장편만화 역시 다른 나라에서는 찾아보기 힘든 시스템이다. 근래에 이르러 문화산업의 원천소스로 각광받는 만화는 스토리텔링을 근간으로 하기에 다양하게 다른 매체로 전이되고 재생산이 가능하다. 이에 본 연구에서는 단지 만화로서가 아닌 콘텐츠로 활용될 수 있는 만화원작의 필요조건이 무엇인지 분석하고자 한다.