서비스 부문의 기술혁신목적별 정부 지원제도의 활용도 분석 연구

Data Mining for the Effectiveness of Government Support Strategies for Technology Innovation in Service Sectors

  • 황두현 (연세대학교 정보산업공학과) ;
  • 김우진 (연세대학교 정보산업공학과) ;
  • 손소영 (연세대학교 정보산업공학과)
  • Hwang, Doo-Hyun (Department of Information and Industrial Engineering, Yonsei University) ;
  • Kim, Woo-Jin (Department of Information and Industrial Engineering, Yonsei University) ;
  • Sohn, So-Young (Department of Information and Industrial Engineering, Yonsei University)
  • 투고 : 20071000
  • 심사 : 20080400
  • 발행 : 2008.06.30

초록

In today's competitive global environment, technological innovation is an important issue. Many countries are devising national level strategies to further strengthen industrial capacity in support of innovative companies. South Korea is no exception, and multiple strategies are in place to aid innovative development in the private sector. This study postulates that such national level strategies are applied differently depending on the innovation goal pursued by the service sector in Korea. We use data mining methods to test such research hypothesis. Factor analysis is used for clustering of various service companies, while association rule is used in finding the relationship per each cluster. The results show that national level strategies are underutilized and unequally distributed. This may be attributed to the disparity between the demand and needs of the private sector and the opinion of the government, which lead to underutilized and indistinguishable strategies.

키워드

참고문헌

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