• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.64-76
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• 2021

Culture technology (CT) becomes important in the recent environment where digital technology drives content-based innovations. However, technological trends of CT have not been systematically discussed. Especially, the trends of CT should be analyzed from the national perspective, because CT has grown with the help of government-driven innovation. Therefore, this paper aims to analyze CT trends focusing on national research projects. We collected data on CT from the national science and technology information service (NTIS) database, analyzed the keyword co-occurrence network, and identified the patterns of technological innovation using a clustering analysis. As a result, we found that CT has contributed to the digital content and cultural media, and has been actively developed with the help of machine learning technique. Especially, due to the rise of Covid-19, the non-face-to-face online content is rapidly increasing. This study provides important clues for understanding, analyzing CT trends.

• Journal of the Korean Society for information Management
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• v.22 no.3 s.57
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• pp.13-36
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• 2005

As the importance of cultural information becomes greater than before, there are some needs for a new national economic paradigm in the knowledge based society. The purpose of this paper is to suggest guidelines for building up a national cultural information network model that enable to promote government's recognition and cultural policy. This research includes feasibility analysis of cultural policy perspective, current situations, and economic effect of cultural industry.

• 한국전자현미경학회:학술대회논문집
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• 1999.05a
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• pp.40-44
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• 1999

기록이 없는 과거 역사에 대한 연구는 문화재라는 간접적인 자료를 통하여 이루어지고 있다. 지금까지의 문화재 연구는 외형적인 특성을 연구하는 고고학이나 미술사의 분야만으로 국한하였으나 점차 내형적인 특성을 연구하는 과학적인 분석기술도 다양하게 응용되고 있다. 문화재의 특성적 성분을 분석하여 원료, 제작방법, 시대, 그리고 지역으로 그룹화한다면 문화재의 특성과 함께 지역, 시대에 따른 문화적 형태와 수준, 그리고 문화의 유입 경로 등에 대한 자료를 제시할 수 있다. 분 연구에서는 유리나 도자기 유약 등의 문화재를 분석할 경우에 대한 SEM-EDS의 정량분석 조건들을 설정하고 경남 김해 양동리고분에서 출토된 고대 유리구슬에 대하여 직접 적용하여 보았다. 분석 결과, 매장되었던 고대 유리에서는 풍화층이 존재하며 이에 대한 분석조건과 정량분석의 문제점들을 고찰하였다. 이를 기초로 하여 적용한 양동리고분의 유리구슬은 알칼리계 유리로 칼리계 유리는 AD 1C, 소다계 유리는 AD 2C말$\sim$3C초부터 나타난 것으로 추정된다. 그리고 유리의 색상은 전이금속 동(Cu), 철(Fe), 그리고 망간(Mn)의 함유량과 밀접한 관계가 있음을 보인다. 이 분석 결과에 따라 고대 유리구슬의 성분 함유량이 원료, 색상, 유구편년, 그리고 지역에 따라 그룹이 형성될 수 있음을 확인하였다.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.170-181
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• 2012

The study on the analytical and productive methodolgy of visual culture contents is meaningful because cultural contents are regarded as a national growth industry. The fundamental notion of cultural contents is researched based on the notion of visual culture, and important factors of the fun are analyzed as a creative motive of visual culture contents. So this paper provides anaytical methodologies for the fun in visual culture contents, which are based on semiotic theories of Charles Morris, Roland Barthes and Roman Jakobson. These analytical matrix can be references for the study of the mechanism of fun and the basic theory for using fun effects in the visual culture contents.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.533-545
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• 2021

This study aimed to examine the differences in gender equality consciousness between latent profiles based on corporate workers' organizational culture types. To achieve the study's purpose, descriptive statistics, correlation analysis, and latent profile analysis (LPA) were conducted using 253 Korean corporate workers' data. As a result of the analysis, the latent profiles of organizational culture recognized by corporate workers were classified into 5 profiles. We named each profile as high compete-low create culture, high compete-low collaborate culture, collaborate culture, high create culture, and high control culture based on each profile's organizational culture perception. The ANOVA test found statistically significant differences between the groups in the gender equality consciousness. This study is meaningful in that it reveals the relationship between the organization culture perception and the gender equality consciousness and suggested implications for the organizational-level intervention to improve the gender equality consciousness. It will provide basic data for your research.

• 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.

• Informatization Policy
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• v.28 no.1
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• pp.43-63
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• 2021

The purpose of this research is to examine the relationships among data literacy, organizational culture, and data analytics maturity and the moderating effects of organizational culture. Analysis of the relationship between data literacy and data analytics maturity shows that the higher the data literacy competency of employees, the higher the organization's data analytics maturity. In examining the relationship between organizational culture and data analytics maturity, it is found that relationship culture and innovation culture are positively related to data analytics maturity. In addition, relationship culture and hierarchy culture show significant moderating effects. Relationship culture shows a synergistic effect, whereas hierarchy culture has a buffer effect between data literacy and data analytics maturity.

• Proceedings of the Korea Society of Costume Conference
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• 2004.05a
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• pp.3-12
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• 2004

$\square$ 디지털폐인 탐구 -폐인, 언어, 리플문화, 사진합성, 그외 작품활동 등 $\square$ 어떻게 읽을 것인가 -가상공간은 포스트 모더니즘의 현대 소비문화가 식민화된 형태 - 폐인사이트 요소분석과 심층인터뷰를 통한 포스트모더니티 분석 $\square$ 소비문화적 함의 - 능동적 소비문화 - 대항적 소비문화 - 키치적 소비문화 (중략)

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.175-184
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• 2019

The purpose of this study was to analyze the moderating effects of teacher support on the effects of acculturation stress on school adjustment of multicultural adolescents. To this end, we used the 6th Year (2016) adolescents survey data of 1,329 multicultural adolescents from the Multicultural Adolescents Panel Survey(MAPS), which was constructed by the National Youth Policy Institute(NYPI). Using SPSS 22.0, frequency analysis, descriptive statistical analysis, and moderated multiple regression analysis were used as dependent variables for school adjustment of multicultural adolescents, as independent variables for school adjustment, and as moderating variables for teacher support. As a result, first, multicultural adolescents experienced acculturation stress, and school adjustment decreased as the acculturation stress increased. Second, teacher support was found to have a statistically significant moderating effect on the effects of acculturation stress on school adjustment of multicultural adolescents. Based on the results of this research, I discussed and suggested the supportive measures, the role of teachers, and follow-up research to reduce the acculturation stress of multicultural adolescents and increase the level of school adjustment.

• Korean Association of Arts Management
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• no.50
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• pp.5-31
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• 2019

The main purpose of this study was to use Deep Learning based Topic Modeling and Semantic Network Analysis to examine research trend of arts management-related papers in korea. For this purpose, research subjects such as 'The Journal of Cultural Policy', 'The Journal of Cultural Economics', 'The Journal of Culture Industry', 'The Journal of Arts Management', and 'The Journal of Human Content', which are the registered journal of the National Research Foundation of Korea directly or indirectly related to arts management field. From 1988 to 2017, a total of 2,110 domestic journals' signature, abstract, and keyword were analyzed. We tried Big Data analysis such as Topic Modeling and Semantic Network Analysis to examine changes in trends in arts management. The analysis program used open software R and standard statistical software SPSS. Based on the results of the analysis, the implications and limitations of the study and suggestions for future research were discussed. And the potential for development of convergent research such as Arts & Artificial Intelligence and Arts & Big Data.