인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
초록·키워드
This study proposes a scientific methodology for regional technology strategy development by identifying emerging technologies through the analysis of patent information. Given the resource constraints often encountered by regions, it is essential to establish evidence-based strategies for efficient R&D planning. To overcome the limitations of previous research, we applied a combined approach utilizing topic modeling and CPC network analysis techniques, while also enhancing the reliability of our findings through validation by relevant experts. The results of our analysis identified key emerging technologies in the bio industry of Incheon, specifically in fields such as anti-cancer therapies, food, and biosimilars. These technology areas are currently in high demand on a global scale and are closely aligned with the strategic industrial infrastructure of Incheon. The findings of this study are expected to support the development of regional technology strategies and science and technology policies based on scientific evidence. Furthermore, the proposed methodology provides a practical framework for identifying emerging regional technologies, which can be adapted for use in other regions facing similar challenges. This framework not only facilitates informed decision-making for policymakers but also provides a systematic approach for regions aiming to enhance their technological competitiveness and innovation capabilities in a rapidly evolving global landscape.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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