• Title/Summary/Keyword: 산업별 기술혁신 패턴

Search Result 8, Processing Time 0.009 seconds

Sectoral Patterns of Technological Innovation in Korean Manufacturing Sector (한국 제조업의 산업별 기술혁신패턴 분석)

  • Hong, Jang-Pyo;Kim, Eun-Young
    • Journal of Technology Innovation
    • /
    • v.17 no.2
    • /
    • pp.25-53
    • /
    • 2009
  • The purpose of this paper is to analysis sectoral patterns of technological innovation in Korean manufacturing sector. Pavitt(1984) put forward a well-known taxonomy that industries three groups of industries characterized by markedly different innovative modes, namely science-based, production-intensive and supplier-dominated industries. Using Pavitt's taxonomy as a framework, we try to explain similarities and differences among sectors in the sources and impact of innovations. Based on a sample of 2,371 firms in manufacturing industry, this paper investigated its relevance to explain the sources and directions of innovative activities in Korean industries. Empirical study shows that in supplier dominated firms most process innovations come from suppliers of equipment and materials. In science-based firms product innovation is produced internally, based on the rapid development of the underlying sciences in the universities and research institutes. It also shows that production-intensive firms have a positive association between innovativeness and customer collaboration. This explanation has implications for our understanding of the sources and directions of technical changes, the formation of technological advantages at the level of both region and country.

  • PDF

Analysis of Corporate R&D Capability with Industrial's Innovation Trend (산업별 기술혁신패턴에 따른 기업의 R&D 역량 비교 연구)

  • Shon, Hee-Jeon;Park, Mun-Su
    • Journal of Information Technology and Architecture
    • /
    • v.10 no.1
    • /
    • pp.47-62
    • /
    • 2013
  • In this paper, we analyze the comparative advantage of industry innovation (R & D) activities. The method is that companies are classified suppliers dominated- industry, productionintensive industries and science-based industries, and data of Statistical analysis were collected HCCP (KRIVET). The result is that Tipping phenomena of science-based is apparent and suppliers dominated- industry is the lack of comparative advantage. The implications are as follows. suppliers dominated- industries that specialize in R & D capabilities, support R & D capability is required. Second, the policy in terms of support for R & BD (linking technology commercialization support innovation) should be strengthened. Third, SMEs in the leveling down of industry R & D capabilities should be supplemented.

The Patterns and Directions of Technological Innovation in Windpower Industry (풍력산업 기술혁신 패턴과 전개방향)

  • Lee, Jonghoon;Kang, Youngsun
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 2010.11a
    • /
    • pp.177.2-177.2
    • /
    • 2010
  • 전세계 풍력발전 시장은 2009년말 160GW로 지난 5년간 연평균 36.1%로 성장하였으며, 2012년 310GW, 2020년에는 1,900GW에 이를 전망이다. 특히, 풍력산업은 조선, 중공업 등 우리나라가 강세에 있는 산업과 연관성이 높아 관련분야 대기업을 중심으로 시장진출이 활발히 진행되고 있는 추세이다. 본 연구는 지식경제부에서 지원하고 있는 신재생에너지기술개발사업 R&D지원실적을 토대로 풍력산업 및 기술혁신패턴을 분석하고, 이를 토대로 풍력산업 발전을 위한 기술혁신 지원전략을 연구하였다. 분석결과, 풍력시장이 급성장함에 따라 대기업을 중심으로 급진적 혁신 행태을 보였으며, 기술도입 및 선진기술의 모방이라는 전형적인 초기산업화 패턴을 보이고 있다. 이러한 기업전략은 기술혁신체제 관점에서 기술학습을 통한 기술축적이 부족하고, 부품소재 중심으로 공급사슬을 구성하는 중소 중견기업군이 취약하여 원가절감 등 시장 경쟁력에 장애요인으로 나타났다. 이를 개선하기 위해서는 첫째, 시스템 기업은 중소 중견기업을 중심으로 부품국산화 노력을 통한 경쟁력 있는 공급사슬 구현이 시급하다. 둘째, 정부는 부품소재 중심의 원천연구에 대한 지원을 확대하여야 하며 셋째, 경쟁력 있는 국가의 기술혁신체계 구현을 위해 정부 출연연구소 및 대학을 중심으로 기술축적을 위한 방안이 시급하다. 마지막으로 초기 풍력산업의 주요 수요자가 정부 및 공공기관인점을 감안할 때, 풍력시스템의 국산화 비율을 구매 조건의 핵심 평가요인으로 채택해야 할 것이다.

  • PDF

Technological Regime, Knowledge Spillover and Innovation (산업의 기술체제 특성이 지식전파와 기술혁신에 미치는 영향)

  • Hong, Jang-Pyo
    • Journal of Technology Innovation
    • /
    • v.18 no.2
    • /
    • pp.147-174
    • /
    • 2010
  • This paper aims to analysis sectoral innovation patterns of technological innovation and localized knowledge spillover in Korean manufacturing sector. Sectoral innovation system approach proposed that the specific pattern of innovative activity and knowledge spillover in an industry can be explained as the outcome of different technological regimes. Technological regime is defined by the particular combination of technological opportunities, appropriability of innovations, cumulativeness of technical advances and properties of the knowledge base. Based on a sample of 2,882 firms in manufacturing sector, this paper provides empirical estimates of the relationships between firm's product innovation and localized knowledge spillover. Results of the analysis provide considerable support to the hypothesis that firm's product innovation and localized knowledge spillover are related to the nature of the underlying technological regime. In the industry based on the tacit and specific knowledge, firm's product innovation is positively related to the localized knowledge spillover. This paper also shows that high stability in the ranking of innovators are related to high degrees of cumulativeness and appropriability.

  • PDF

The Determinants of R&D and Product Innovation Pattern in High-Technology Industry and Low-Technology Industry: A Hurdle Model and Heckman Sample Selection Model Approach (고기술산업과 저기술산업의 제품혁신패턴 및 연구개발 결정요인 분석: Hurdle 모형과 Heckman 표본선택모형을 중심으로)

  • Lee, Yunha;Kang, Seung-Gyu;Park, Jaemin
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.20 no.10
    • /
    • pp.76-91
    • /
    • 2019
  • There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.