인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국경영학회 경영학연구 경영학연구 제54권 제6호
- 발행연도
- 2025.12
- 수록면
- 1,989 - 2,016 (28page)
- DOI
- 10.17287/kmr.2025.54.6.1986
이용수
초록· 키워드
This study examines the Artificial Intelligence (AI) transformation policies of South Korea and Japan through a comparative case study approach, analyzing policy documents from the OECD AI Policy Observatory and other recent legislation. Policies targeting emerging sectors like AI offer the groundwork for understanding policy directionality through how policy objectives and mechanisms evolve. The analytical framework employed includes policy objectives, level of implementation, and dynamics. The findings reveal that both countries follow similar stepwise approaches, but their strategic focus differs significantly. South Korea pursues a sector-oriented strategy, leveraging its existing semiconductor manufacturing capability through vertical integration. In contrast, Japan adopts a more society-centered approach, prioritizing the addressal of challenges such as an aging population and disaster response while building on its strengths in materials science and precision manufacturing. Both cases demonstrate the critical importance of government coordination in AI transformation, although gaps persist in balancing technological innovation with social issues, including safety and ethics. These findings emphasize the need for national AI policies that build upon existing national strengths and call for flexible governance to facilitate communication necessary for AI ecosystem building.
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목차
- Ⅰ. Introduction
- Ⅱ. Theoretical Framework
- Ⅲ. Qualitative Content Analysis
- Ⅳ. Comparative Case Study between Korea and Japan
- Ⅴ. Discussion
- Ⅵ. Conclusion
- References
참고문헌
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