Yonghee Kim
Assistant Professor, Department of Business Administration, Sunmoon University
I study how digital platforms reshape media markets and what that means for public policy. My work sits at the intersection of media economics, platform regulation, and data science—using econometric methods and input-output analysis to evaluate broadcasting industry structure, OTT market dynamics, and ICT efficiency in Korea.
I teach at Sunmoon University and direct the Daeyeon Industrial Policy Institute. I also write policy commentary for The Electronic Times and cofounded OpenRoute, a consultancy bridging academic research and industry practice.
Recent Research
- Why subscribers cut the cord: A study of the migration from pay-TV to OTT services through the push-pull-mooring framework
- From broadcast to mobile: Cross-channel effects in home shopping platforms
- Platform Power Under Asymmetric Market Evolution: Evidence from Korean Home Shopping
Recent Blog Posts
- AI Regulation Across Three Legislatures: A Cross-Country Comparative Analysis of Korea, the EU, and the United States
- Discussion on "Industrializing K-Media Content as a National Strategic Industry: Direction and Policy Tasks"
- Received Appreciation Award from KOBACO Media & Advertising Research Institute
Current Projects
- Statistical Evidence for Asymmetric Fund Burden on Cable SO Operators
- Sports Broadcasting Rights in the Platform Era
- Korean Film Holdback Analysis: Maximizing Revenue Across Distribution Windows
Media Intelligence
AI-curated briefing on global media & entertainment industry — 282 articles aggregated from 3+ multi-source stories.
엔비디아 최고경영자 젠슨 황이 6월 5일 오후 전세기 편으로 김포공항을 통해 약 7개월 만에 방한했다. 그는 공항에서 곧장 서울 마포구 홍대 인근의 T1 베이스 캠프(PC방)로 향해, 방한 첫 일정으로 '페이커' 이상혁을 비롯한 T1 리그 오브 레전드 선수단과 만나 e스포츠 협력 방안을 논의했다. 저녁에는 홍대입구 인근 삼겹살 음식점에서 최태원 SK그룹 회장, 정의선 현대차그룹 회장, 구광모 LG그룹 회장, 이해진 네이버 의장 등 재계 총수들과...
Journal Intelligence
Weekly briefing on 95 tracked academic journals — CFPs, editor changes, trending research, and notable papers.
Nature published a landmark large-scale analysis of 41.3 million research papers showing that scientists who adopt AI tools publish 3.02× more papers and receive 4.84× more citations, but the collective scientific agenda is contracting as topics converge. Paired with a second Nature paper introducing 'The AI Scientist'—a system that drafts hypotheses, runs experiments, writes manuscripts, and performs its own peer review, which passed first-round review at a top-tier ML workshop—the April 2026 issue signals that AI-mediated research is now both individually rational and collectively narrowing.
Nature (A등급, IF 64.8) · 47 citations