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 — 424 articles aggregated from 3+ multi-source stories.
서울행정법원이 4월 28일 넷플릭스코리아가 국세청을 상대로 낸 762억 원 규모 법인세 부과 처분 취소 소송에서 687억 원을 취소하라고 판결, 사실상 넷플릭스의 손을 들어줬다. 핵심 쟁점은 한국 자회사가 네덜란드 모회사에 송금한 수수료의 성격이었다. 법원은 콘텐츠 저장·전송 등 핵심 기능을 해외 법인이 수행하고 한국 자회사는 광고 등 보조적 활동만 담당하므로, 해당 수수료는 '저작권 사용료(원천징수 대상)'가 아닌 '스트리밍 서비스 대가'에 ...
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