• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.351-363
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• 2022

Purpose: The objective of this research is to find manufacturing employment clusters of the disaster safety sector in South Korea. Method: The LISA(Local Indicator of Spatial Association) analysis method is applied to the employment data of 229 local governments categorized by the 2019 Korean Standard Industry Classification and Disaster Safety Industry Special Classification. The LISA method identifies the spatial dependency of employment and the spatial cluster of industries. Result: Three research findings are summarized. First, employment of the disaster safety industry in South Korea occupies about six percent of the total manufacturing industry. The annual proportion is in increasing trend. Second, the employment cluster of the disaster safety industry is located in the western side of the Seoul metropolitan region. Third, manufacturing businesses of industrial safety goods preventing industrial accidents are concentrated in regions of Busan, Ulsan, Changwon, Gyeongnam, and Gimhae, where heavy and chemical industries and industrial complexes are formed. Conclusion: Investment and promotion policies are suggested to the manufacturing employment clusters of the disaster safety industry for fostering these regions. Research results can be used to the better policies for industrial development and employment improvement of manufacturing clusters of the disaster safety industry in South Korea.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.23-32
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• 2009

Although the web is becoming a widely accepted medium, it provides relatively poor performance and low availability. A cluster consists of a collection of interconnected stand-alone computers working together and provides a high-availability solution in application area such as web services or information systems. Web server clusters require a high-availability service with a proactive and practical fault management. However, as the system complexity grows, it is not easy to meet the requirement. Therefore, web server clusters must have self-fault management capability for meeting high-availability requirement. In this paper, we propose high availability web server clusters using self-healing technique with a minimal human intervention. Our experimental results show that a proposed method can be used to improve the availability of web server clusters.

• Review of Culture and Economy
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• v.21 no.3
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• pp.89-124
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• 2018

Although design industry belongs to one of the creative industries and contributes significantly to urban cultural economy based on its cluster formation, researches on design industry are rarely made explicit from the perspective of creative industry cluster. After reviewing the life cycle of design industry clusters in Euljiro and Hongdae Area in Seoul, this study compares these two clusters with respect of diverse dimensions of creative industry cluster such as agglomeration economy, spin-off activities and institutional environments. Research methodology includes the analysis of ?Seoul Business Statistics? and the in-depth interviews with 14 professional designers. The result shows that design industry cluster in Euljiro is close to the traditional industry cluster mainly dependent on printing industry with very limited impact on urban economy, while Hongdae Area develops creative industry cluster by virtue of university spin-offs, art markets, hybrid cultural consumption spaces and the active participation of designers contributing to urban economy in diverse ways. This comparative analysis highlights the importance of various environmental components to encourage creative activities in developing the creative industry cluster.

• Korean Business Review
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• v.18 no.2
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• pp.197-223
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• 2005

The industrial cluster policy of 21st century rise to the focus method of regional economic promotion, therefore, the importance of study in cluster identification and mapping as policy task will bring into relief. This paper will confirms the estimate index and policy of industrial clusters with regional industry. The result in this case study, Cluster development should embrace the pursuit of competitive advantage and specialization rather than simply imitate successful clusters in other locations. This requires building on local sources of uniqueness. Government should reinforce and building on existing and emerging clusters rather than attempt to create entirely new ones. This sort of role for government is very different from industrial policy. The aim of cluster policy is to reinforce the development of all clusters. Not all clusters will succeed, but market forces should determine the outcomes. In other words, government should build on market- oriented system and innovative infra. The result of this study is meaning to the development of objectivity estimate index and derivation of cluster-focused policy with a case study of industrial clusters.

• 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.

• Journal of Korea Port Economic Association
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• v.34 no.2
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• pp.1-16
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• 2018

Maritime industry is recognized as a new value-adding and growth engine industry. It provides high value by creating clusters centering on ports. Advanced international ports are also clashing ahead to create clusters, boost profits, and strengthen competitiveness. The Korean government enacted policies for the establishment and upbringing of maritime industrial clusters in 2015. It is very important to understand which maritime industry has a comparative advantage in each region and to establish an integration strategy through maritime industrial clusters. This study analyzes the structure of the maritime industry in the Chungnam province, which is expected to deal with raw materials(mainly oil products), container throughput, and opening of ferry route with China's port. The study analyzed the existing literature on the maritime industry and classified the industry into 5 major categories, 21 sub-categories, and 84 sub-categories in shipping and logistics, shipbuilding, fishery, marine tourism industry, and other industries. Based on the reclassified maritime industry, the structure of the maritime industry in the Chungnam province was analyzed by using location quotient(LQ) and Shift-Share analysis. The study found that the fisheries industry showed the highest value(1.718) in the analysis of LQ, followed by the marine tourism industry(1.092), shipbuilding industry(0.823) and shipping and logistics industry(0.789). The total effect of the maritime industry in Chungnam province was 36,315 and the net growth effect, excluding the national growth effect, was estimated to be 21,321. Based on these results, we classify the maritime industry in the Chungnam province as comparative advantage and comparative disadvantage. The results of this study can be used as basic data for formulating strategies for the construction of the maritime industry cluster in the Chungnam province in the future.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.1-27
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• 2006

This paper rejuvenates the existing discussion on the importance of cluster approach to industry development strategies. Current evidences suggest that the shape of economic policy and practice is changing significantly around the world. Governments continually search for new tools and policy formulas to improve economic performance and create economic prosperity for all citizens. In this context a more proactive and strategic role for government in support of the cluster-based economic development model has emerged. This paper uses Singapore's petrochemical industry as an example to study the cluster approach to industry development. In doing so, there is much optimism to the importance of state and its institutions to play a significant role on industry development. Nevertheless, the study also raises doubts on whether the cluster-based strategy is due to the concept itself or due to other important factors.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.434-446
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• 2021

Recently, there has been a growing interest in the fourth industrial revolution, expected to have a significant impact on society. However, there are only a few studies on spatial distribution and location of the fourth industry. This study tried to classify the spatial distribution of the fourth industry by using LQ, a non-geographical method, and Getis-Ord's Gi^*, a geographical method. The results of the analysis are as follows. First, there are the specialized areas of the fourth industry in the non-Seoul metropolitan area as well as the Seoul metropolitan area. Second, industrial clusters and neighborhood areas of the fourth industry were located mostly in the Seoul metropolitan area. Third, industrial clusters were concentrated on the southern part of Gyeonggi Province and Seoul, and there are no industrial clusters in the northern part of the Seoul metropolitan area and the nature conservation area. This paper shows that the cluster area of the fourth industry is concentrated in the Seoul metropolitan area. Therefore, policies for the 4th industry are needed to solve this unbalanced spatial distribution of the fourth industry.

• International Commerce and Information Review
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• v.9 no.4
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• pp.217-239
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• 2007

We want to know the key factors which are important to make any cluster grow up. First, we make four cluster types which are national policy type, local recruit type, local network type, and existing industry transforming type. Second, We selected Austin case and Kyushu case as two local recruit type clusters. Third, this paper looks into the dynamics of two clusters. Forth, we arrive at the conclusion including the policy implication for Daegu technopolis.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.11-19
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• 2013

In this paper we present a reodered simulated-anealing algorithm which is capable of applying odering based k-way partitioned clusters. This method is used for improvement of the objectives of partitioning which are k-way partitioned by using odering algorithm. It changes the positions of the clusters and the vertices in each clusters. Reodered vertices are splitted by using DP-RP method and this process has an opportunity to improve the objective functions. This algorithm has advantages to improve the quality of the solutions for various purposes. Experimental results on several graphs demonstrate that proposed algorithm provides substantial enhancement.