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토픽모델링과 인용 분석에 기반한 의료기기 산업의 기술융합 유형 연구

Research on the type of technology convergence in the medical device industry based on topic modeling and citation analysis

  • 이선재 (아주대학교 산업공학과) ;
  • 이성주 (아주대학교 산업공학과) ;
  • 설현주 (충남대학교 국가안보융합학부)
  • Lee, Seonjae (Department of Industrial Engineering, Ajou University) ;
  • Lee, Sungjoo (Department of Industrial Engineering, Ajou University) ;
  • Seol, Hyeonju (School of Integrated National Security, Chungnam National University)
  • 투고 : 2021.05.30
  • 심사 : 2021.07.20
  • 발행 : 2021.07.28

초록

4차 산업혁명의 변화 속에서 새로운 성장 동력을 확보하기 위해 융합기술의 중요성이 강조되면서 다양한 형태로의 산업 융합이 이루어지고 있다. 산업 융합은 다수 동인에 의해 여러 형태로 발현되기 때문에 이러한 융합의 특성을 파악하고 흐름을 이해한다면 효과적인 융합 정책을 수립하고 추진할 수 있을 것이다. 이에 본 연구는 특허정보를 활용하여 이종 분야 간 지식의 흐름을 분석하여 기술의 융합 형태를 유형화하고 유형별 특성을 파악하는 것을 목적으로 한다. 이를 위해 첫째, 특허문서의 토픽모델링을 통해 핵심 융합 기술분야를 도출한다. 둘째, 해당 기술분야를 구성하는 이종기술별 특허 건수와 이들 간 특허 인용 분석을 통해 융합과정에서의 지식의 규모와 흐름을 파악한다. 마지막으로, 지식의 규모와 흐름에 따라 융합의 유형을 상생융합, 부분융합, 흡수융합으로 구분하고, 해당 기술분야가 어떠한 유형에 속하는지 판단하고자 한다. 제안된 접근법은 이종 기술간 융합이 활발한 의료기기 산업을 대상으로 사례연구를 수행하여 활용 가능성을 검토하였다. 연구 결과는 향후 기업에서 융합 기반의 신사업 기회 창출이나 정부 등 여러 기관에서 융합을 토대로 한 정책 마련 시 기초자료로서 유용하게 활용될 것으로 기대한다.

Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

키워드

과제정보

This research was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea in 2018.(NRF-2018S1A5A2A01037180)

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