• The Journal of the Convergence on Culture Technology
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• v.1 no.2
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• pp.85-89
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• 2015

It has been reported that cerebral disease is the most leading to death as a single disease even though next to cancer in the most important cause of death in the country. Even if patients maintain a life without death, it will have to suffer from side effects such as hemiplegia and language disorders. In this paper, the symptoms and treatment of cerebral infarction cases are described through the medical dramas (The Third Hospital, The Brain) and movie (Amur). Even if there is the same stroke each drama or movie, depending on the previous history or current physical condition of the patient knew which treatment the law is different.

• The Journal of the Convergence on Culture Technology
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• v.1 no.1
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• pp.65-68
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• 2015

It has been reported that cerebral disease is the most fatal as a single disease, standing next to cancer as the most important cause of death in Korea. Even though patients maintain their lives, they will have to suffer from side effects such as hemiplegia and language disorders. In this paper, the symptoms and treatment of cerebral infarction cases are described through the medical dramas (The Third Hospital, The Brain) and movie (Amur). Even if there is the same stroke in each drama or movie, each receives different treatment depending on the previous history or current physical condition of the patient.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.131-137
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• 2018

People write reviews of numerous products or services on the Internet, in their blogs or community bulletin boards. These unstructured data contain important emotions and opinions about the author's product or service, which can provide important information for future product design or marketing. However, this text-based information cannot be evaluated quantitatively, and thus they are difficult to apply to mathematical models or optimization problems for product design and improvement. Therefore, this study proposes a method to quantitatively extract user's opinion or preference about a specific product or service by utilizing a lot of text-based information existing on the Internet or online. The extracted unstructured text information is decomposed into basic unit words, and positive rate is evaluated by using existing emotional dictionaries and additional lists proposed in this study. This can be a way to effectively utilize unstructured text data, which is being generated and stored in vast quantities, in product or service design. Finally, to verify the effectiveness of the proposed method, a case study was conducted using movie review data retrieved from a portal website. By comparing the positive rates calculated by the proposed framework with user ratings for movies, a guideline on text mining based evaluation of unstructured data is provided.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.263-270
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• 2014

This paper suggests a method for predicting a box-office success of the film. Lately, as the growth of the film industry, a variety of studies for the prediction of market demand is being performed. The product life cycle of film is relatively short cultural goods. Therefore, in order to produce stable profits, marketing costs before opening as well as the number of screen after opening need a plan. To fulfill this plan, the demand for the product and the calculation of economic profit scale should be preceded. The cases of existing researches, as a variable for predicting, primarily use the factors of competition of the market or the properties of the film. However, the proportion of the potential audiences who purchase the goods is relatively insufficient. Therefore, in this paper, in order to consider people's perception of a movie, Twitter was utilized as one of the survey samples. The existing variables and the information extracted from Twitter are defined as off-line and on-line element, and applied those two elements in machine learning by combining. Through the experiment, the proposed predictive techniques are validated, and the results of the experiment predicted the chance of successful film with about 95% of accuracy.

• Journal of Popular Narrative
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• v.27 no.1
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• pp.53-98
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• 2021

This paper examines the ways in which Hollywood feature films produced and widely circulated with the establishment of the studio system was consumed in the ethnically segregated Korean movie theaters in Kyǒngsǒng in the 1920s. Focusing on how those theaters appropriated what Hollywood represented, this paper has three objectives. First, from a historical and economic perspective, I will historicize the emergence of so-called prestige pictures and how movies became a branded product in that process. Second, I will also loot at how Chosǒn Theater, one of the earliest movie theaters in the Korean-resident area in Kyǒngsǒng who sought to be a prestigious movie palace actively exploited Hollywood brand, by foregrounding its Paramount connection, in particular. Lastly, through a close reading of weekly programmes and handbills, I will examine how these promotional print materials, as an intermediating medium, helped to supplement the audiences' viewing of Hollywood movies while creating loyal audiences.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.238-242
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• 2007

The existent UCC sites display only finalized contents by publisher. It dose not provide any platform for resources of UCC that public users could reorganize. This paper has developed a platform to be able to produce reusable content using the scenes of the contents and produced a 3D animation with multiple story. It is necessary for user to search the provided contents for easy reorganization of the contents. The scene is classified by the description and information of the scene for handy search. It is obscure for a movie clip to be represent with only one word. Therefore, the proposed platform provides the search technique with a overlapping choice for the specific categories that include most of elements for the scene. Then the user can choose a specific range of the selected movie clip, make a new story with reorganizing the order, and put a caption or BGM on the movie clip. The complete movie clip has the search preferences as a category, new clips, and top favorites. With the Multi-Story line concept, we made a 3D animation about episodes of thermal dolls in the Doll World. This attempt will come to the new marketing way for a field of the visual media like as Music Video, Drama, Feature Film, Commercial Film.

• Information Systems Review
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• v.21 no.2
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• pp.29-50
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• 2019

Social media is divided into Owned Media, operated by companies according to information sources, and Earned Media, which third parties produce contents. Social media research developing the logic that brand-related content in social media increases awareness of potential customers and positively changes brand attitudes, resulting in increased sales and business performance. However, there are limitations in previous researches that can not fully explain the difference of media synergy effect according to the information source of social media. it is very important for the consumer to integrate media management because consumers are more likely to choose appropriate media information for the information needed at each decision making stage. The purpose of this study is to analyze the effect of eWOM of review site and social media (owned media and earned media) on movie sales. To do this, we collected 3,589 review data from films released in 2017. The results of the study showed that eWOM of review site, social media (owned media and earned media) had a positive effect on movie sales. However, it was found that the effect of moderating eWOM of review site was different between the owned media and the earend media.

• Information Systems Review
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• v.24 no.2
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• pp.1-20
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• 2022

Researchers are making contradictory claims through the concept of superstars and long tails about how the development of IT technology affects demand distribution. Unlike previous studies that focused on changes in demand from a macro point of view, this study explored whether the relationship between a company's marketing activities and consumer response differs depending on the product location (i.e., superstar vs. long tail) from a micro point of view. Based on the marketing mix framework, hypotheses were developed based on the relevant literature. In the case of empirical analysis, 2,835 daily data from 63 Korean films were tested using the quantile regression method. As a result of the analysis, it was found that the influence of marketing mix factors on sales varies depending on the location of the product. Specifically, the appeal breadth of the film and the effect of owned media are enhanced in superstar products, and the effect of acquisition media in long-tail products is enhanced and the negative effects of competition are mitigated. Unlike previous studies that focused on macroscopic changes in demand distribution, this study suggested marketing activities suitable for practitioners through microscopic analysis.

• Journal of Digital Contents Society
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• v.8 no.4
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• pp.547-553
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• 2007

UCC is highlighted in so many field for information system area and new business part. So many people made UCC and it does effect on advertise area and marketing area. But it is stoped developed new motion picture editing system for UCC, so it is need to make new paradigm for easy develop UCC system. This paper introduce to build authorizing tool for UCC. Our system is different other motion picture edition system and very easy to build UCC.

• Journal of Distribution Research
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• v.1 no.1
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• pp.223-237
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• 1996

The emergence of the cable television era has spawned the introduction of many new television programming formats such as all-news channels, movie channels, channels catering to cultural events, channels for women, and many others. One of the new programming formats that is expected to have interesting implications for marketing is the home shopping channel. As we have observed in other countries, this new form of distribution may potentially have a major impact on the traditional retail industry. This paper presents a model of home shopping channel viewing behavior. This model is then used to formulate optimal product presentation strategies that may aid managers in the design of home shopping programs. Specifically, by formulating a profit-maximization problem based on tile model, we derive the optimal length of product presentations and explore its properperties through simulating various situations. The discussion of these properties provide insights about making strategic decisions regarding product presentations.