소셜 빅데이터 기반 기업협업센터 트렌드 분석을 통한 자립화 방안 연구

• 영문명: A Study on the Self-reliance Plan through Trend Analysis of Industry Cooperation Center Based on Social Big Data
• 발행기관: 한국비교정부학회
• 저자명: 노영희 김봉문
• 간행물 정보: 『한국비교정부학보』제26권 제4호, 215~232쪽, 전체 18쪽
• 주제분류: 사회과학 > 행정학
• 파일형태: PDF
• 발행일자: 2022.12.31

영문 초록

(Purpose) The Corporate Cooperation Center is emerging as the center of university self-reliance that achieves the best corporate cooperation in the field by carrying out projects such as industry-academic-linked education, patent development, technology transfer, corporate cooperation, start-up support, and joint equipment utilization. (Design/methodology/approach) This study attempted to find out the role, problems, and improvement directions of the corporate hub center in Korea by grasping the trend of the corporate cooperation center. (Findings/Research implications or Originality) To this end, this study collected and analyzed data on corporate cooperation centers using social big data. As a result, first, even though the corporate cooperation center has a history of more than 10 years since its establishment, few studies have analyzed its performance. Second, the mountain ranking words related to the corporate cooperation center appeared as support, business, start-up, research, and university, and based on the frequency of simultaneous appearance, keywords such as support, university, start-up, research, society, and business were derived as important keywords. Third, in the analysis of the association between keywords, words such as 'support-center', 'corporate-cooperation', 'innovation-center', 'corporate-support', and 'venture-corporate' showed high connection centrality in the order of region, construction, foundation, platform, development, specialization, and plan. Fourth, in the emotional analysis, the positive word was very high at 82.38%, and in the discourse analysis, a discourse was formed to find ways to revitalize and self-reliant corporate cooperation centers while seeking to build, strengthen, and develop the foundation of the center.

목차

Ⅰ. 서론

Ⅱ. 선행연구

Ⅲ. 연구설계 및 방법론

Ⅳ. 연구결과

Ⅴ. 논의

Ⅵ. 결론 및 제언

References

키워드

ICC 산업협력센터 LDA 토픽 모델링 소셜빅데이터 빅데이터분석 텍스트마이닝 ICC Industrial Cooperation Center Big-Data Analysis Social Bigdata Textmining LDA Topic Modeling