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논문 기본 정보

자료유형
학술저널
저자정보
송영화 (건국대학교) 임선영 (건국대학교) 홍유정 (건국대학교) 나원준
저널정보
한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.28 No.1
발행연도
2021.2
수록면
63 - 81 (19page)

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초록· 키워드

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The advent of the convergence era led to the convergence of industries while increasing the uncertainty of R&D. R&D uncertainty can be addressed by identifying and addressing industrial innovation patterns, which Neo-Schumpeterian suggested can be identified through the process of identifying the technical characteristics of a particular industry, which can be embodied in the concept of technology trajectory. Thus, this study considered and proposed a method to track the technology trajectory of the convergence industry through topic modeling and patent citation network analysis, and applied it to the micro medical robot industry, which is a representative convergence industry, to track the technology trajectory of active catheter. In particular, it is intended to identify the unique characteristics of the industry by identifying the industry before the promotion of the national-led medical robot industry support policy. Therefore, we tried to understand the innovation pattern of the industry by tracking the technology trajectory of the industry before 2017, the time of full-scale support for the medical robot industry in the United States. Through tracking technology trajectories, the role of each technology classification, the development path, and the knowledge flow between applicants were analyzed empirically. The results of this study are expected to contribute to resolving the remaining uncertainties in the process of establishing an active catheter R&D strategy, one of the leading convergence industries, and furthermore, it is expected to be available for tracking technology trajectories in other industries.

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Abstract
1. 서론
2. 이론적 배경
3. 연구 방법 및 적용
4. 마이크로의료로봇 산업의 기술궤적
5. 결론 및 시사점
References

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