Journal of Korea Society of Industrial Information Systems (한국산업정보학회논문지)

Korea Society of Industrial Information Systems (한국산업정보학회)
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Technology Keyword Network and Cognitive Map Analysis: to prospect promising technology of UAV(Unmanned Aerial Vehicle) airframe industry

기술 키워드 네트워크와 인지지도 분석을 통한 무인항공기 비행체산업의 유망기술 도출 연구

  • 주성현 (경북대학교 경영학부, 한국생산기술연구원) ;
  • 하성호 (경북대학교 경영학부) ;
  • 박상현 (경북대학교 경영학부)
  • Received : 2016.09.13
  • Accepted : 2016.11.02
  • Published : 2016.10.31
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Abstract

This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'pilot control tech', 'identification of friend or foe tech'.

본 연구는 국내 무인항공기산업과 같은 신성장동력산업의 국제적 기술 경쟁력 확보와 시장성 확보 및 산업성장이 가능한 미래유망 기술을 도출하는 방법론을 제시하는 것이다. 이에 본 연구는 KrKwic, Excel, NetMiner등의 분석 툴을 활용하여 무인항공기산업 분야의 특허데이터를 대상으로 동시출현 단어를 활용한 소셜네트워크분석과 하위그룹분석, 인지지도분석 방법을 제시하였다. 그 결과, '비행조정 기술', '피아식별 기술' 등은 향후 유망한 기술로 선정하여 집중 투자할 필요성이 큰 기술이라 볼 수 있었다.

Keywords

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