• Title/Summary/Keyword: patterns of technological innovation

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The Patterns and Directions of Technological Innovation in the Steel Industry (철강산업의 기술혁신패턴과 발전과제)

  • 송성수
    • Journal of Korea Technology Innovation Society
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    • v.3 no.2
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    • pp.94-110
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    • 2000
  • This article prospects the patterns of technological innovation in the steel industry and suggests the directions of technological innovation in Korean steel industry. Technological innovation patterns can be analysed through technological trends, innovation-inducing mechanism, and innovators' relationships. In the technological trends, direct coupling of manufacturing processes, lasting growth of mini-mill, and the importance of technological integration are prospected. In the innovation-inducing mechanism, while production system will be specialized, the development of new steel materials and environment-friendly technological innovation will be accelerated. In the innovators' relationships, steel industry faces more complex competition and new forms of inter-firm cooperation including M&A, joint venture, and joint R&D. In order to cope with such changes in the technological innovation patterns, Korean steel industry need to establish core competence based on technological innovation through a great leap in R&D investment, the production of high value-added products, the development of new generation steel technologies, strategic joint R&D, comprehensive technological cooperation, and government's active support.

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A Comparative Study on the Patterns of Technological Innovation of Bio - Industry in Korea (한국 생명공학산업의 기술혁신 패턴에 관한 연구)

  • 박정민
    • Journal of Korea Technology Innovation Society
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    • v.4 no.2
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    • pp.224-241
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    • 2001
  • This paper is an inquiry into the patterns of technological innovation of bio - industry in Korea in comparison with the worldwide patterns. In another words, this study wants to check whether the patterns of technological innovation of bio - industry in Korea differ front those in advanced countries or not. The comparison is based on the theory of science - based industry asserted by Seol (2001) and Cho (2001). There are no specific difference in the patterns of technological innovation such as science - based innovation, capitalization of science, industries leading by scientific fields, the importance of venture firms for commercialization, high level of R&D expense to sales. Also the order of fields by size is similar to worldwide patterns. But the size of microbiology is bigger than that of worldwide patterns. The strength in microbiology may be the country specific features of Korea, like platform technology of Germany.

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Analysis on the Patterns of Technological Innovation in Korean Manufacturing Sector in accordance with Technology Intensity (기술집약도에 따른 국내 제조업의 기술혁신 패턴 분석)

  • Noh, Ji-Hyae;Chung, Min-Keun;Rah, Joong-Doug
    • Journal of Technology Innovation
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    • v.18 no.2
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    • pp.33-58
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    • 2010
  • This paper explores the patterns of technological innovation in Korean manufacturing sector in accordance with technology intensity which classifies industries into four sectors; high-technology, medium-high-technology, medium-low-technology and low-technology. Empirical study using Korea Innovation Survey(KIS 2008) data shows that the patterns of technological innovation in Korea exhibits the characteristics of science-based firm described by Pavitt across all industry sectors regardless of the level of technology. On the other hand, overseas studies have found the distinct differences between high-and low-technology sectors; the former is shaped by science-based firm and the latter by supplier-dominated firm. It implies that technological innovation activities in Korea do not reflect the level and/or nature of technology and innovation patterns conform to a single standard of high-technology sector. Further studies on causes and impacts of this inclination would be required for effective technology and innovation policy that fits with the level and/or nature of technology in individual industries.

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기술 및 수요속성에 따른 정보통신서비스 확산 패턴

  • Kim, Mun-Su;Kim, Ho
    • Journal of Technology Innovation
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    • v.11 no.2
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    • pp.71-89
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    • 2003
  • Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.

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특허 데이터를 활용한 정보통신 산업혁신체제의 역동성 분석

  • Kim, Jin-Yong;Jeong, Jae-Yong
    • Journal of Technology Innovation
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    • v.11 no.2
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    • pp.283-314
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    • 2003
  • The transformation of sector system in Information and Communications Technology (ICT), a prominent character in sector system, has been paid much attention in innovation theory with rapid change in information technologies and technological environment. In this context, we explore how Sectoral Innovation System (SIS) in ICT has been transformed since 1970 by employing US patent data and Proxy variables which measures the basic elements for SIS and its technological characteristics. By utilizing patent data, it is demonstrated that technological regimes, key links and Schumpeterian patterns of innovation in overall ICT sector have drastically transformed over the last three decades. We also reviewed how changes of knowledge bases and technological characteristics driving forces of dynamics in ICT help heterogeneous agents interact with environmental factors (Industrial structure and institutions), leading to industrial or economic growth and its dynamics in the historical perspective over ICT sector (Telecommunication, Computer and Semiconductor). Consequently, our research shows clearly that Schumpeterian patterns of innovation have shifted from Mark I to Mark II in ICT. Our study also provides a glimpse picture of dynamics patent data.

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Technological Competitiveness of the Korean Industries (한국의 산업 유형별 기술경쟁력 패턴)

  • 이공래
    • Journal of Technology Innovation
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    • v.5 no.2
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    • pp.48-79
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    • 1997
  • This study aims to evaluate and identify the patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexse were used. It was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five types was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

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기술발전단계에 따른 중소기업의 기술협력 형태변화에 관한 탐색적 연구

  • 정진우;배종태
    • Proceedings of the Technology Innovation Conference
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    • 1997.07a
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    • pp.195-221
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    • 1997
  • This study examines the changing patterns of technological cooperation activities along technological development stages. Based on the longitudinal sample of 58 small and medium-sized companies in telecommunication equipment and device sectors, proposed hypotheses are tested using paired comparison t-test, ANOVA and multiple regression analysis. Major findings of this study are as follows. Along technological development stages, (1) patterns of technological cooperation activities differ in terms of the extent and diversity of use, partners, method, and motivation and (2) the impact of specific forms of technological cooperation activities on the firm's technological innovation varies. In addition, some managerial and policy implications are presented and future research directions are suggested.

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A Exploratory Study on the Politics of Technological Innovation of Catching-up Countries: Case Study (후발국의 기술혁신과 기술정치에 과한 탐색적 연구 -이동전화와 PCS 기술개발 사례를 중심으로-)

  • 송위진
    • Journal of Korea Technology Innovation Society
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    • v.4 no.1
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    • pp.1-14
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    • 2001
  • This study aims at developing some hypotheses on the politics of innovation in catching-up countries. Although innovation studies of catching-up countries have studied the process of acquisition of technological capabilities, the politics of innovation was not seriously considered in those studies. This study suggests a conceptual frame-works of the innovation politics and analyses the innovation process of mobile telecommunication system in Korea. Some hypotheses on the patterns and effects of innovation politics in catching-up countries are put forward.

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한국의 산업유형별 기술경쟁력 패턴

  • 이공래
    • Proceedings of the Technology Innovation Conference
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    • 1997.12a
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    • pp.197-228
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    • 1997
  • This study aims to evaluate and identify the Patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexes were used. it was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five typers was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

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The Analysis of Post Catch-up Innovation Patterns of Technology-intensive Small and Medium Firms (기술집약적 중소기업의 탈추격형 기술혁신 특성 분석)

  • Song, Wi-Chin;Hwang, Hye-Ran
    • Journal of Technology Innovation
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    • v.17 no.1
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    • pp.49-67
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    • 2009
  • As technological capabilities have enhanced, the patterns of innovation activities of latecomer firms changed to post catch-up mode. The purpose of this research is to analyze the post catch-up innovation patterns of technology-intensive small and medium firms of Korea. The innovation patterns can be divided into three types: the technology deepening innovation type, the new technology based innovation type and the architectural innovation type. The characteristics of the technology deepening innovation type are cumulative technological learning and the integration of new generic technology and existing technologies. The characteristics of new technology based type are the acquisition and revelations of new basic knowledges from former incubating organizations such as large firms and universities. The characteristics of the architectural innovation type are the learning of system architecture knowledge from former organization and interactive learning with user firms. These post catch up innovations also have some general characteristics. They effectively exploited the windows of opportunities which are opened in the middle of technological paradigm change.

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