• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.584-593
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• 2018

The startup, which is a common noun to start a small business, has been recently one of main targets for policymakers due to its important role for job creation and considerable potential for sustainability of an economy. However, technological entrepreneurship decreased by 5.0% p from 2013 to 2016. The revitalization of entrepreneurial investment promoted by the government is mainly supported in fruitable venture companies at grow stage or 2~3 years before IPO through venture capital firms and angel funds. It is far from an investment at start-up. It is therefore necessary to motivate private investment to be active in the private start-up sector. In addition, the start-up investment requires institutional support and government support to meet the expectations of investors about the possibility of payback and profitability of private investment invested in the founding period. As a small entrepreneur at a comparably early stage in the lifecycle of business, investments for the startup are generally made by informal investors such as family, friends and fools, and their decision making processes are relatively non-programmed compared with ones for listed corporales such as venture capital and angel fund agency. This study focuses on analyzing decision making factors in investment, and verifying an impact of such factors, specifically the possibility of investment payback and investment profitability, in a decision-making process for the startup especially at the very early stage.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.375-385
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• 2020

This paper attempts to understand the reality of Netflix on the Korean film distribution market environment, and to verify the possibility of developing domestic content centered on independent films in the OTT market, led by Netflix. The research significance of finding the way for Korean diverse films and independent films that cannot be provided with investment and distribution opportunities in various Korean Wave contents will be studied, and the characteristics of Netflix in the Korean film market will be explored. Netflix disseminates Korean contents such as Korean movies and Korean dramas, contributes to the spread of the Korean Wave, and is re-adjusting the paradigm of the distribution market, raising issues that cause a virtuous cycle of profits, controversy over net usage fees, and flooding of Hollywood movies. Considering the nature of intercultural exchange, the interaction between independent film content, Netflix platform, audience, and global market will expand interactive communication opportunities. In other words, just as Netflix uses the Korean media market to make profits, Korea should also use Netflix to try to expand the global market of Korean film contents (K-Film)and maintain a cultural and economic reciprocal attitude.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.82-89
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• 2013

The phase in digital technology expedited low-budget digital film productions in the Korean film industry; hence the international film festivals circuit became the launching pad for Korean directors as they built their reputation and careers around the critical acclaim. Pieta (Kim Ki-Duk)'s Claim on Golden Lion prize at the Venice Film Festival in 2012 would be one of the splendid achievements - the festival is considered to be one of the top the international film festival. However, the increased volume of the low-budget digital film productions are not necessarily proportional to the growth in the quality of the productions. The drawbacks to the production system appeared to be the underlying cause. In attempt to approach the issue, this article explores the production system from 2000 until now. It is illustrated that the value chain model has been transformed from general ones into vertical & horizontal integrated ones. A notable example of successful indie bands-around Hongik university area-, as well the analysis on the low-budget hit productions, especially from the mid-2000's, are introduced as the case studies. The strategies that led the success, such as subsidies policy, the tax benefits on investment firms and production companies, and the aid in international film festival submissions on low-budget digital film productions, are thus examined with further suggestions.

• Journal of the Korean Geographical Society
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• v.41 no.3 s.114
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• pp.245-266
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• 2006

This study aims to explain the emergence of Gangnam Region of Seoul as a new cluster of the Korean film industry in the context of its history of growth, recent development characteristics, and its production system. Statistical analyses of Korean industries and in-depth interview surveys to film producers were conducted. The results of the analyses show that there has been obvious tendency of film makers' move from Chungmuro, a traditional cluster of the Korean film industry, to Gangnam and many births of new film makers in Gangnam. This new cluster, however, is operating on informal networking between film makers and related personnel, not on formalized production system composed of specialized functions and labor market. Therefore, it can be called as loosely-articulated cluster. This form of cluster has much to do with production milieu of Gangnam, such as advantages of obtaining information and consumer trend, diverse atmosphere which makes it easier to meet diverse people, favorable environment to embed creativity and fresh idea, etc. This trend of the film industry to orient a specific area can be explained in conjunction with the uniqueness of the film industry, such as uncertainty, project-based work, generation gap between film makers, participation of large companies or increasing size of investment.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.65-73
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• 2020

Viral video advertising is being used in the advertising and film industry for pre-promotion of certain products or pre-release films which has a lot of effect on investment. An analysis of viral video recognition is needed to predict future development directions. In response, the study conducted a survey on viral videos, focusing on college students in their 20s, who are the most exposed to advertisements and movies. Through this, the survey was conducted on recognition of viral videos, memorable viral videos, satisfaction level, message propagation method, positiveness of viral videos, expected future development, and desired viral video type. The survey showed that viral video recognition was 16.7% and the most memorable viral video; the "Let it Go" viral video from the movie "Frozen" was 69.1 %, according to the survey. The satisfaction level was not high at 31.2 %, and 73.5% of people sent messages to others after watching viral videos, which was very high. Negative opinions on viral videos were low at 13.7 %. 64.5% of the surveyors said the future of the viral videos would "develop" and 6.7% said would "not develop."

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.87-98
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• 2019

This study sought to identify the impact of scenarios, capital, manpower (directors, actors), media promotion, oral communication, and recognition on the intention of watching movies, and to present marketing and policy implications to film producers for ways to revitalize their films. Therefore, the implications of this study are as follows: First, if you watch a movie with a friend or introduce a movie, you should set up a marketing strategy to promote the movie as a oral message to the people around you through double points and free admission at the 10th movie. It will also require the promotion of the scenario to be strengthened so that people around them can recognize it naturally. Second, film production companies will have to improve the quality of their movies by readjusting the distribution of capital in the event of capital investment. In addition, the movie should be encouraged by the oral publicity that the huge amount of capital has enhanced the quality of the movie, as well as pre-experience events to help the audience recognize it. Third, filmmakers will have to choose directors and actors who can digest novel and experimental material over the director's or actor's reputation. Fourth, the movie promotion company should set up strategies to cater to visitors through a contest for ideas for promoting visitors, which can arouse interest among visitors. Fifth, movie promoters will have to set a sufficient promotional period for visitors to be aware of the film in advance. Finally, movie writers will have to create scenarios with a variety of materials that meet the needs of visitors. Also, movie officials will have to develop or create a mechanism for those who watch the movie to practice oral and cognitive skills.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.593-601
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• 2017

In this paper, we constructed the model of production/investment, distribution, and screening by using variables that can be considered at each stage according to the value chain stage of the movie industry. To increase the predictive power of the model, a regression analysis was used to derive meaningful variables. Based on the given variables, we compared the difference in predictive power between the artificial neural network, which is a machine learning analysis method, and the decision tree analysis method. As a result, the accuracy of artificial neural network was higher than that of decision trees when all variables were added in production/ investment model and distribution model. However, decision trees were more accurate when selected variables were applied according to regression analysis results. In the screening model, the accuracy of the artificial neural network was higher than the accuracy of the decision tree regardless of whether the regression analysis result was reflected or not. This paper has an implication which we tried to improve the performance of movie prediction model by using machine learning analysis. In addition, we tried to overcome a limitation of linear approach by reflecting the results of regression analysis to ANN and decision tree model.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.405-412
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• 2018

When a film company decides whether to invest or not in a scenario is the appropriate time to predict box office success. In response to market demands, AI based scenario analysis service has been launched, yet the algorithm is by no means perfect. The purpose of this study is to present a prediction model of movie scenario's box office hit based on human brain processing mechanism. In order to derive patterns of visual, auditory, and cognitive stimuli on the time spectrum of box office animation hit, this study applied Weber's law and brain mechanism. The results are as follow. First, the frequency of brain stimulation in the biggest box office movies was 1.79 times greater than that in the failure movies. Second, in the box office success, the cognitive stimuli codes are spread evenly, whereas in the failure, concentrated among few intervals. Third, in the box office success movie, cognitive stimuli which have big cognition load appeared alone, whereas visual and auditory stimuli which have little cognitive load appeared simultaneously.

• International Area Studies Review
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• v.20 no.2
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• pp.85-111
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• 2016

Global semiconductor companies is investing enormous capital worldwide. And direct investment in China is increasing greatly these days, Especially, global semiconductor companies are setting up a factory in China due to expanding market rather than utilizing low labor cost. Therefore, this study is trying to analyze the background and process of direct investment from global Korean and Taiwanese semiconductor companies in China. Firstly, In 1996, Samsung semiconductor established a back end process factory in Suzhou. And in 2014, Samsung semiconductor set up a front and back end factory in Xian. Secondly, In 2006, SK Hynix built a front and back end factory in Wuxi. and SK Hynix set up a back end factory named Hitech semiconductor with Chinese company in 2009. Later in 2015, SK Hynix established a back end factory in Chongqing. Thirdly, In 2004, TSMC started to operate a factory in Shanghai, and in 2018, TSMC is going to establish a factory in Nanjing. Lastly, UMC bought a stock to produce product in Chinese local company named HJT, and at the end of 2016, UMC is going to finish building a factory in Xiamen. As a result, it was proved that most companies hoped to expand the chinese market by setting up a factory in china. In addition, Samsung expected to avoid a risk by setting up a factory in china, and SK Hynix wanted to avoid a countervailing duty by setting up a factory in china. Based on the result of this study, this study indicates some implications for other semiconductor companies which are very helpful for their future foreign direct investment.

• Cartoon and Animation Studies
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• s.19
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• pp.89-112
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• 2010

Today many countries consider the culture and technology industry as a high value-added industry, and make intensive investments into cultural content for its growth. In the culture and technology industry, the OSMU (One Source Multi Use) business structure, which creates content using diverse media based on one original work and thus generates a high added value, has received much attention. Recently Korea has also witnessed an increase in the cases in which the cartoon medium is converted into movies or drama. Cartoons are now put to the most use as an original source, in which the process of active secondary reproduction and recreation are taking place. In the process of recreating original works, media characteristics function as an important variable. Stories are newly reproduced by the detailed information (form) characteristics of each medium. Despite those developments, however, there are not as many active comparative studies on media-converted works as there are actual productions of them, which calls for a need to more fully activate specific comparisons of cases. By comparing and investigating original works and secondarily recreated ones through media conversion, the study made comparisons between the cartoon and movie medium and described the common and different features of the two media in terms of detailed information characteristics. In order to provide a specific case, it also analyzed the cartoon Tajja and movie Tajja through media conversion, focusing on 'conversion of narrative structure.'