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 — 488 articles aggregated from 3+ multi-source stories.
워너브라더스 디스커버리(WBD)와 파라마운트 스카이댄스의 1,110억 달러 합병이 4월 23일 주주 가결로 확정된 가운데, 5월 8일 미국 언론자유 단체들이 라이선스 승인 과정에서 정치적 거래 의혹을 제기하면서 합병 후폭풍이 본격화되고 있다. Reporters Without Borders·Free Press 등 파라마운트 스카이댄스 주식을 보유한 언론자유 단체 연합은 회사 측에 내부 장부 열람을 요구하는 공식 서한을 발송하며, 데이비드 엘리슨과...
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