• Journal of the Korean Geographical Society
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• v.35 no.1
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• pp.121-139
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• 2000

본 연구는 국내 소프트웨어 산업의 새로운 집적지로 떠오르는 강남·서초지역이 과연 산업지구적 성격을 지니고 있는지를 이론적·경험적 측면에서 살펴보기 위한 것이다. 이를 위하여 기존연구로부터 산업지구의 성격과 발달에 관한 다섯 가지 차원-국지화, 네트워킹, 착근성·제도적 집약, 잡단학습, 혁신 시너지-을 도출하였다. 실증연구에서는 소프트웨어 업체의 입지변화와 창업의 공간적 분포를 살려보았으며, 설문조사 자료를 토대로 강남·서초지역이 타 지역에 비해 어떤 산업지구 차우너이 발달하였는지 분석하였다. 분석 결과 강남·서초 지역은 산업지구의 최소 요건인 물리적 집적에서는 상당한 발전을 보였으며, 혁신의 결과인 창업에 있어서도 여타 지역과는 차별화된 성과를 나타냈다. 설문분석 결과 강남·서초지역은 서울시내 타 지역에 비해 '국지화', '착근성과 제도적 집약', 그리고 '집단학습' 등의 측면에서는 뚜렷한 차이를 보였다. 이에 비해, '혁신 시너지'는 타 지역과 유사하였으며, '네트어킹'은 오히려 미흡한 결과를 보였다.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.35-55
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• 2020

The support policy of Micro manufacturers clusters should reflect the regional characteristics of Micro manufacturers clusters, but only similar policies are proposed based on the normal collection of information from related companies. Since the regional characteristics of Micro manufacturers clusters are not understood, they are not reflected in the support policy. Therefore, this study analyzed the characteristics of Micro manufacturers clusters as the formation factors of localization, networking/embeddedness, and innovation synergy/collective learning which are the characteristics of clusters, and applied the development stage based on the analyzed formation factors. Since regional characteristics may be different in the same industry, Micro manufacturers clusters in Changsin and Jangwi, which are representative clusters of apparel sewing industry in Seoul, were compared and studied in terms of regional characteristics and developmental stages. As a result of analyzing the characteristics of Apparel Sewing Micro manufacturers clusters, clusters of peers were found to be higher in Changsin than in Jangwi in localization. However, in the synergy and group learning, the Changsin area was mainly centered on designers and the Jangwi area was centered on Micro manufacturers, the Changsin area was active while the Jangwi area was passive in participating in fairs and seminars, and in sample and production. As a result of examining the two formation factors, the development stage of Micro manufacturers clusters in the two regions is progressing beyond the industrial district in the case of Micro manufacturers clusters in Changsin apparel sewing, and the Micro manufacturers clusters in the Jangwi apparel sewing are analyzed to stay in the industrial district. Innovative and long-established garment sewing clusters suggest that the government's support policy needs to reflect the characteristics and development stages of the two regions for sustainable growth.

• Korean System Dynamics Review
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• v.7 no.2
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• pp.133-148
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• 2006

This study suggests a Causal Loop Diagram(CLD) of causality mechanism which are integrating matters of localization, networking, embeddedness & institutional thickness and collective learning. These five factors(localization, networking, embeddedness & institutional thickness, collective learning, innovative synergy) have been studied and proofed Also this study suggest a model of industry cluster based on holistic and global system thinking rather than local and linear thinking.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.225-235
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• 2006

Not a few nations have tried to copy the success of Silicon Valley since 1980's. Research of information communication industry cluster has emerged in Korea since 1990. In this background this paper thoroughly reviewed scholarly literature related to industry cluster with an attempt to extract dominant factors for cluster formation, and designed a survey instrument to measure the status-quo of cluster formation of software industry in Chungbuk Province Korea, as an example. Based on the results from statistical analysis a strategic scheme was proposed to propel software industry cluster formation in the region.