포스트 코로나 시대 공연예술의 온라인 전략에 관한 실증적 연구

• 영문명: An Empirical Study on the Online Strategy of Performing Arts in the Post-Corona Era. : Using Big Data Analysis Systems Textom and Ucinet-
• 발행기관: 경희대학교 학술단체협의회
• 저자명: 이지현(Jihyun Lee)
• 간행물 정보: 『고황논집』제69집, 3~32쪽, 전체 30쪽
• 주제분류: 복합학 > 학제간연구
• 파일형태: PDF
• 발행일자: 2021.12.31

영문 초록

In the field of performing arts, online performing arts were already evolving even before the outbreak of Covid-19. Due to Corona 19, the speed is accelerating, and the definition of face-to-face and non-face performances is newly established, and online performing arts are being established in the field of performing arts. Therefore, this researcher seeks to analyze the flow of online performing arts before and after Covid19 using the big data analysis system TEXTOM_v5.0 and UCINET 6.0 and find the practical direction of performing arts that our society should pursue in the future. Based on the basic concept of performing arts based on the examination of prior research, we wanted to examine the direction of future performing arts by analyzing the trends of online performing arts in the Post-Covid 19 Era and presenting examples of each organization. Although it is an on-site performance and a one-off performance, due to the nature of performing arts with high barriers to entry, online performing arts cannot replace its meaning. Nevertheless, attempts to convert performing arts online have been accelerated and inevitable by Covid 19. Since there has been insufficient research on such social changes so far, this study aimed to analyze the social semanticization process of the onlineization of performing arts by randomly assigning the word “online performing arts”. To this end, the researcher considered prior research to objectify the justification through analysis of performing arts, online performing arts, post-corona performing arts, metaverse, and Big data. Based on prior research, the research was aimed at establishing practical basic data that could be reflected in the online performing arts scene of the post-corona era by analyzing articles that could understand the trend of the times and representative examples of national, public, and private arts organizations in 2020. Accordingly, the network analysis using TEXTOM_v5.0 version and UCINET 6.0, the big data research and analysis systems that began to be used for domestic research, was objectified. In addition, Korea's leading performing arts organizations, such as the National Opera, the National Choir, the Seoul Philharmonic Orchestra, and the National Theater, were selected to reflect the trend of the times and present directions and possibilities for future development and effectiveness of online performing arts. In addition, it was confirmed that online performing arts were not a temporary phenomenon, but an alternative or complementary way of performing arts that should be combined in the future. The reference to online performing arts was more than twice the comparison period from November 2014 to February 2015 and 1.5 times higher than the research and analysis period from November 2020 to February 2021. To this end, we can recognize the expanded situation to the Internet, mobile, IPTV, etc., develop platforms for each institution, utilize VR and AR technology, utilize virtual reality systems and Internet of Things systems, and try short-shot web performance. In addition, it could be seen that the method of metaverse is considered a very important platform. Furthermore, we believe that attempts to introduce new methods such as paid streaming are continuously needed in previous free streaming methods. The role of marketing and platform with expertise is also very important. Objectification as data is necessary to objectify perceptions of social change, and the use of programs to do so is essential. Big data enables this objectification and allows us to assess the success of a company through big data analysis. However research using big data is still insufficient in South Korea.

목차

1. 연구의 필요성 및 이론적 배경

2. 코로나 19 이후 온라인 공연예술

3. 디지털 전환으로 인한 공연예술의 온라인 전략

4. 빅데이터 활용 연구

5. 실증분석 결과 및 함의

6. 결론 및 제언

참고문헌

키워드

공연예술 언택트 공연예술 온라인 공연예술 포스트 코로나 메타버스 빅데이터 Performing Arts Unattact Performing Arts Online Performing Arts Post Corona Metaverse Big Data