Culture Information Technology (CIT)
Impact of Brain Drain and AI on South Korea’s Cybersecurity: Role of R&D and Financial Constraints
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- 발행기관
- 국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
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- 간행물
- The International Journal of Advanced Smart Convergence 바로가기
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- 통권
- Volume 14 Number 4 (2025.12)바로가기
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- 페이지
- pp.470-480
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A481215
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- This study examines how brain drain impacts South Korea's cybersecurity amid shrinking R&D budgets and U.S. tariff-induced financial constraints. OLS, Bayesian, and Monte Carlo analyses consistently show that a 1 percentage-point increase in IT/security talent outflow is associated with 59–76 additional server hacking incidents (preferred specification R² = 0.938). R&D budget and AI index effects are inconsistent due to collinearity (r ≈ 0.9). Financial market volatility exacerbates funding constraints, driving talent outflows. With 40–45 % of domestic cybersecurity talent migrating abroad, SMEs—lacking resources to absorb talent shocks—face substantially elevated risks. This paper concludes that IT workforce retention (via R&D budgets) is more critical than AI adoption (AI index) for cybersecurity resilience. Policy priorities should therefore focus on long-term talent retention and shared specialist pooling for SMEs.
목차
Abstract
1. Introduction
2. Prior Study
3. Impact of Cybersecurity Weakness & Investment Dynamics in the AI Industry
3.1 Interplay Between Brain Drain, R&D Contraction, and Cybersecurity in South Korea
3.2 Comparative Insights: China’s Talent Retention vs. South Korea’s Outflow
3.3 Cybersecurity Vulnerabilities as an Industrial Risk Factor
3.4 Policy Leverage: Mitigating Brain Drain through R&D Reinforcement
4. Empirical Analysis
4.1 Methodological Approach
4.2 Data and Variables
4.3 Model Specification & Quantitative Verification of H2 as OLS
4.4 Qualitative Limitations and Integration
4.5 Bayesian Model Specification
4.6 Robustness Checks and Limitations
4.7 Summary of Empirical Findings and Implications
4.8 Policy Recommendations
5. Conclusion
References
키워드
Brain Drain Cybersecurity R&D AI-Infrastructure Sovereign-AI Financial Constraints U.S. Tariffs SMEs Server Hacking.저자
간행물 정보
발행기관
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- 발행기관명
- 국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
- 설립연도
- 2000
- 분야
- 공학>전자/정보통신공학
- 소개
- 인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.
간행물
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- 간행물명
- The International Journal of Advanced Smart Convergence
- 간기
- 계간
- pISSN
- 2288-2847
- eISSN
- 2288-2855
- 수록기간
- 2012~2025
- 십진분류
- KDC 326 DDC 380
이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 14 Number 4
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