• Korean System Dynamics Review
• /
• v.7 no.2
• /
• pp.133-148
• /
• 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 Digital Convergence
• /
• v.9 no.5
• /
• pp.193-202
• /
• 2011

We study the casual relationship between characteristics and effectiveness of NamDong Cluster in Incheon by using factor analysis in order to suggest, it is hoped, an alternative way to form innovative regional or national cluster. The findings of the study is that several factors such as cluster networking, collective learning, innovation synergy, localization, are critical factors to corporate performance. Also, cooperation between big enterprises and small and medium enterprises is the major influential factor so that financial and institutional supports for co-works or co-program development among enterprises are suggested.

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

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