• STI Policy Review
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• v.5 no.2
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• pp.96-121
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• 2014

This study identifies and evaluates inter-ministerial coordination for developing digital content technology in Korea and Japan. It is conducted through a comparative analysis between Korean and Japanese governmental organizations and their decision making process. Media content had been regulated or promoted by ministries involving culture in both countries. The digitalization of traditional media, however, blurred boundaries between the cultural, technological, and industrial spheres, so ministries involving science and technology, economy and trade, or foreign affairs started to promote digital content technology in the late 1990s. This has been the cause of conflicts among ministries and sometimes led to policy duplication, which in turn weakens policy effectiveness. The competition and coordination of ministries and agencies can be seen through establishing or amending related laws, organizations, and programs. Structural holes are founded in the networks drawn among governmental agencies in charge of digital content, particularly in the field of intellectual property in Korea and online distribution technology in Japan.

• Journal of Korean Society for Quality Management
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• v.48 no.3
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• pp.433-451
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• 2020

Purpose: The purpose of this study is to investigate how the type of virtual reality content production affects the interaction and immersion that is a virtual reality characteristic, and to provide the platform companies and content producers with the basic information necessary to provide the production and service of content suitable for VR characteristics. Methods: Based on the data collected in the survey, multiple regression analysis and hierarchical regression analysis were used. The measurement tools used in this study were studied through three-dimensional composition, including the characteristics and interaction and immersion of content produced in 2D, 3D and 360°, which are elements of virtual reality characteristics. Results: The results of this study are as follows. Among the types of content production, content produced with 2D and 360 technologies was found to affect immersion, while content produced in 3D affected interaction. Motion sickness has been investigated to affect both immersion and interaction. Conclusion: Service-provided platform enterprises and content-making enterprises should consider content-making and providing services that suit service characteristics and purposes, taking into account the characteristics of interaction and immersion in content-making investment and service delivery.

• Journal of Korea Game Society
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• v.19 no.2
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• pp.55-66
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• 2019

This research studied how game contents related experts recognize the transition of contents industries in intellectual information era. This study also studied experts' priorities of evaluation elements in contents industry policies. For this, Analytic Hierarchy Process was utilized to analyze the relative importance and priorities of evaluation elements in contents industry policies. According to the analysis, the order of priorities was 'strengthening content technology', 'training content experts', 'improving the contents-related system' and 'strengthening content usage and consumer safety'. Also, in complex importance analysis, 'strengthening R&D system for content' was gauge as the most important element. In the analysis about each related group's thinking, industries and policy institutes considered 'strengthening content technology' important and academia evaluated 'training content experts' as the most important one.

• Journal of Digital Convergence
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• v.9 no.5
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• pp.21-30
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• 2011

Broadcasting contents market is changing back of a smart TV appearance recently. This study proposed a contents industry view and government policy direction. We accomplished an depth interview with expert of Broadcasting Content Production Support. The data analysis method executed the content analysis. The research results presented in a three direction.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.371-382
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• 2017

This study aims to analyze the research trend of cultural policy-related papers based on 832 key words among 186 whole articles in the Journal of Cultural Policy by the Korea Culture & Tourism Institute from October 2008 to January 2017. The analysis was performed using a big data analysis technique called the Semantic Network Analysis. The Semantic Network Analysis consists of frequency analysis, density analysis, centrality analysis including degree centrality, betweenness centrality, and eigenvector centrality. Lastly, the study shows a figure visualizing the results of the centrality analysis through Netdraw program. The most frequently exposed key words were 'culture', 'cultural policy/administration', 'cultural industry/cultural content', 'policy', 'creative industry', in the order. The key word 'culture' was ranked as the first in all the analysis of degree centrality, betweenness centrality and eigenvector centrality, followed by 'policy' and 'cultural policy/administraion'. The key word 'cultural industry/cultural content' with very high frequency recorded high points in degree centrality and eigenvector centrality, but showed relatively low points in betweenness centrality.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.2
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• pp.171-191
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• 2016

This research was examined to evaluate whether the websites of 6 policy research institutes provide web resources which were collected and provided as information resources, and that they were sure that the web resources had value as policy information by content analysis method. Web resources provided as policy information in policy research institutes were classified into and evaluated by 4 categories. Evaluation had been conducted on 10 items in the 4 categories of content, design, accessibility and meta data. From the result, the information content have been found to be reliable and up-to-date although more thorough description is required. Navigation and the search function in the design category were found to be excellent, but dead links were present in all of the institutions. The accessibility was proven to be great as it was able to access information with only three clicks. However, it has been found that a comprehensive review of the meta data is required in order to improve the accuracy of search functions. In conclusion, improvements to the dead link problems, quality control of the meta data, systematic and professional management plan of policy research information, and the establishment of a comprehensive policy research information portal system have been proposed.

• Proceedings of the Korean Society of Health Policy and Administration Conference
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• 2005.12a
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• pp.362-363
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• 2005

• Journal of Science and Technology Studies
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• v.7 no.1
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• pp.117-150
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• 2007

This paper attempted a content analysis on the S&T comprehensive plans in Korea focusing on five-year plans. They include twelve plans from the 1st five-year plan for technological promotion($1962{\sim}1966$) to S&T basic plan in participatory government($2003{\sim}2007$). The result of content analysis on such plans was explained according to policy environments, formative system, policy goals, policy scopes, and policy subjects. In the case of policy subjects, this paper reconstructed nine policy categories such as national strategic technology development, S&T investment, S&T manpower, basic science research, private technology development, international S&T cooperation, regional S&T innovation, S&T infrastructure, and S&T culture. In conclusion, this paper proposed future directions for the making of S&T comprehensive plans in Korea.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.27-32
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• 2023

This study is about a marketability analysis and commercialization methodology analysis system using big data, and a marketability analysis and commercialization methodology analysis system that can analyze the marketability of the product based on a content channel capable of viral marketing. The marketability analysis and commercialization methodology analysis system using big data according to this study analyzes the marketability of the products to be analyzed by analyzing the marketing content provided on the content channel, so it has the advantage of determining more accurate viral marketing effects on the products to be analyzed.

• Quality Improvement in Health Care
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• v.26 no.1
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• pp.35-45
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• 2020

Purpose: This study was conducted to identify patients' dissatisfaction with health care through a content analysis of newspaper articles published between 1990 and 2015. It focused on developing a systematic coding scheme for content analysis as well as exploring changes over time. Methods: Among articles published by 8 major national newspapers, our content analysis used those that specifically covered the dissatisfaction of patients. Coding taxonomy was developed in two domains: (1) contents of dissatisfaction and (2) special circumstances and groups where complaints were filed. All articles were then coded according to this coding taxonomy to conduct descriptive analysis. Results: A total of 794 complaints were discovered in 338 articles. Contents of dissatisfaction were classified into 7 categories and 50 subcategories. Complaints regarding accessibility, technical care, and administration were noticeable in special circumstances, including strikes and spread of epidemic diseases, whereas complaints on interpersonal care and cost were prominent in general population and circumstances. When comparing the proportion of articles covering patient dissatisfaction in general population/circumstances between 1990-2000 and 2001-2015, complaints on administration and physical environment diminished over time, whereas complaints on outcome of health care increased. Conclusion: This study offers a rare window to view the responsiveness of the Korean health care system on a long time horizon.