빅데이터를 활용한 정책분석의 방법론적 함의

• 영문명: Methodological Implications of Employing Social Bigdata Analysis for Policy-Making : A Case of Social Media Buzz on the Startup Business
• 발행기관: 한국IT서비스학회
• 저자명: 이영주(Young-Joo Lee) 김도훈(Dhohoon Kim)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제15권 제1호, 97~111쪽, 전체 15쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2016.03.30

영문 초록

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policymakers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government’s policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

목차

1. 서 론

2. 분석방법 및 절차

3. 분석 결과

4. 논 의

5. 결 론

키워드

Social Bigdata Sementic Network Analysis Startup Policy Decsionmaking