서울시 지식집약서비스업 기술혁신 특성 분석
Technology innovation of knowledge-intensive business services in Seoul
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초록
전통적으로 기술혁신에 관한 연구는 제조업을 중심으로 이루어졌지만, 최근 들어 서비스업의 기술혁신에 관한관심이 높아졌다. 특히, 지식집약서비스업의 경우 자체적인 기술혁신역량의 강화가 기업 경쟁력 및 고객 기업의 혁신역량 증진에 매우 중요하다는 인식이 확대되고 있다. 공간적 관점에서, 이 연구는 우리나라 지식집약서비스업의 기술울시 지식집약서비스업을 컴퓨터 서비스, 연구개발 서비스, 그리고 전문과학기술서비스로 세분화하여 각각의 특성을분석하였다. 분석 결과, 서울시 지식집약 서비스업은 비서울지역 기업에 비해 기술혁신율이 월등히 높은 것으로 나타났으며, 특히 컴퓨터서비스업과 전문과학기술서비스업에서 서울의 우위가 두드러졌다. 그리고, 서울시 지식집약서비대적으로 낮았다. 한편, 기술혁신의 특성은 세부 산업별로 차별적으로 나타났는데, 서울시 지식집약서비스업의 분석에서 전문과학기술서비스업은 타 업종에 비해 기술혁신율이 낮았으며, 혁신과정에서 내적 연구개발역량에 대한 의존도도 상대적으로 다소 낮은 것으로 나타났다. 로지스틱 회귀분석을 통해 세부 산업별/지역별로 지식집약서비스업의 기술위해서는 세부 산업별로 차별화된 정책적 접근 그리고 내적 기술혁신역량과 조화를 이룰 수 있는 서울시의 혁신 환경의 개선이 요구된다고 할 수 있다.
Abstract
Technological innovation has been traditionally considered important in the sector of manufacturing.However, the rapid growth of service sector, esp. knowledge-intensive business service (KIBS) led to the interest in itstechnological innovation as well as its role as innovation facilitator. This paper attempts to analyze the characteristics ofthe technological innovation of KIBS firms in Seoul, the only growth pole of KIBS in Korea from a spatial perspective.It also examines the differences in the characteristics by such sub-industries as computer, R&D, and professional,scientific, and technical services (P-KIBS) inside Seoul from a sectoral perspective. According to the analysis result ofKorean Innovation Survey in service sector, the KIBS firms in Seoul show a much higher level in the rates oftechnologically innovating firms than those in the provinces (non-Seoul areas), although the degree is differentiated bythe sub-industries. More importantly, KIBS firms in Seoul are generally reliant on the internal resources in the processof technological innovation and external cooperation seems to have a supplemental importance. Among the KIBSfirms in Seoul, the P-KIBS firms demonstrate different characteristics from computer and R&D service firms in termsof less dependence on internal sources at least to some extent. In addition, some internal attributes affectingtechnological innovation are revealed based on the analysis of logistic regression models. The results suggest the needof the differentiated industrial policies by sub-industries and the spatial policies to encourage the innovative milieu tobalance both external and internal innovative capabilities.
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