• Information Systems Review
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• v.5 no.2
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• pp.241-256
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• 2003

This empirical study is to explain critical success factors for building effective regional IT cluster from the literature reviews which have some limitations, and is to suggest new key factors from the views of Regional Innovation System and Sectoral Systems of Innovation. For building successful cluster, the new key factors not only stress on regional networks, the spill-over of tacit knowledge through learning by interacting, institutions which contain regional custom, norms, established practices, culture, and characteristics from the Regional Innovation System, but also emphasize on heterogeneous agents who are interacting by each others from Sectoral Systems of Innovation. From these factors we suggest some strategies for building effective "Daegu IT Cluster" as following; making characterized IT brands which are selected and concentrated based on regional and IT sectoral characteristics, strengthening learning competence of tacit knowledge built in multiple heterogeneous agents network, establishing strong agent networks which are composed of universities, companies, institutes and government, and sharing the institution of mind-opening culture in order to correspond with environmental changes and link to other industrial clusters. By putting above strategies in force, the compatabilities of Daegu region are reinforced. Tacit knowledges spill over and the regional innovation competence are accumulated. Also IT cluster plays core role of employment in Daegu for long term. Especially, "Daegu IT Cluster" changes city's image from medium and small manufacturing city to new industrial city based on high technologies.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.477-493
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• 2009

This research aims to examine Korean regional innovation governance, find structural problems, and explore alternative strategies of regional innovation governance. Especially the alternative governance was searched through the case study of Daegu-Kyungbuk mobile cluster, of which formulation Samsung is the anchor institution. Regional innovation governance in this research is defined as a policy system to link knowledge generation & diffusion subsystem and knowledge application & exploitation subsystem, and institutional conditions to steer the system. "Social Capital Assessment Tool (SOCAT)" of the World Bank was utilized for the appreciation of cluster governance. The regional innovation governance of Daegu-Kyungbuk mobile cluster is characterized as production networks dominated by one-to-one relationship between Samsung and hardware/software developers, decentralized R&D networks and policy networks with multiple hubs. Major policy agents have not developed networks with local companies, and rare are interactions between the policy agents. Local companies, especially software developers, responded they have had experiences to cooperate for local problem solving and shared their community goal, however, the degree of trust in major local project leaders is not high. Local hardware/software developers with core technologies need to be cooperative to develop similar technologies or products in Daegu-Kyungbuk mobile cluster. Regional administrative actors, such as the City of Daegu and Kyungsangbuk-do, and diverse innovation-related institutes should build cooperative environment where diverse project-based cooperation units are incessantly created, taken apart, and recreated.

• Proceedings of the Korean Society of Organic Agriculture Conference
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• 2009.07a
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• pp.293-340
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• 2009

• Proceedings of the Technology Innovation Conference
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• 2005.06a
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• pp.116-139
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• 2005

ICT(information and communication technology) has played a pivotal role in the world economy, and the out look for ICT has improved markedly. One of the noticeable characteristics in the ICT sector Is the global rationalization of its technology and service. Specialization on the specific ICT capability is a pressing problem for many countries. Along the line of classical innovation cluster and network studies, this paper suggests a way to find and analyze the role of core technologies on the ICT network First, technology network is constructed by using patent citation data from USPTO. Then, a couple of cluster is generated by K-means clustering technique. Finally, brokerage analysis is applied to manifest the role of principal technologies. The network visualization and some stylized facts on dynamics are briefly given altogether Based on the role and relationship of technologies across clusters, it is expected that this research could contribute to the ICT cluster formation and the vision-making for ICT specialization at the viewpoint of technology Policy.

• Journal of Digital Convergence
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• v.6 no.3
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• pp.35-43
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• 2008

This research was to analyze information network which contributed Anyang Venture Valley's development. And mutual communication between regional innovated companies was the essential factor of this growth. Anyang city with its Knowledge Industry Promotion Agency, KIPA, has first set up communication network, facility and other structures to create basis of communication. For that, they were able to operate various networking and promotion of communication which led to the enforcement of regional innovation in venture businesses. During its innovation, KIPA played a key role as a link between regional Innovated companies, which enabled active interactions between them. Government can verify significance of establishing network base with mediation function for lively communication for promoting innovation capability through Anyang Venture Valley's case.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.23-43
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• 2005

Industrial clusters are geographical concentrations of interconnected companies, specialised suppliers, service providers, firms in related industries, and associated institutions (for example, universities, standard agencies, and trade associations) that combine to create new products and/or services in specific lines of business. At present, the concept of industrial cluster becomes very popular worldwide, policy makers at national, regional and local levels and business people in both forerunner and latecomer countries are keen to implement the cluster concept as an economic development model. Though understanding of clusters and related promoting policies varies from one place to another, the underlying benefits of clusters from collective learning and knowledge spillovers between participating actors strongly attract the attention of these people. In Thailand, a latecomer country in terms of technological catching up, the cluster concept has been used as a means to rectify weakness and fragmentation of its innovation systems. The present Thai government aspires to apply the concept to promote both high-tech manufacturing clusters, services clusters and community-based clusters at the grass-root level. This paper analyses three very different clusters in terms of technological sophistication and business objectives, i.e., hard disk drive, software and chili paste. It portrays their significant actors, the extent of interaction among them and the evolution of the clusters. Though are very dissimilar, common characteristics attributed to qualified success are found. Main driving forces of the three clusters are cluster intermediaries. Forms of these organizations are different from a government research and technology organization (RTO), an industrial association, to a self-organised community-based organization. However, they perform similar functions of stimulating information and knowledge sharing, and building trust among participating firms/individuals in the clusters. Literature in the cluster studies argues that government policies need to be cluster specific. In this case, the best way to design and implement cluster-specific policies is through working closely with intermediaries and strengthening their institutional especially in linking member firms/individuals to other actors in clusters such as universities, government R&D institutes, and financial institutions.

• Journal of the Korean Geographical Society
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• v.52 no.1
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• pp.55-71
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• 2017

This paper points out the semantic unclearness of the jargon "cluster" and suggests the substitution of "industrial cluster" for "cluster". Industrial cluster is the intersection of industrial agglomeration and cluster phenomenon while the actual concept of cluster includes not only industry cluster but also political administration cluster, science research cluster, art cluster, religion cluster, education cluster, etc. Partially reconstructing the concept and significance of industry cluster, industrial cluster is a geographic agglomeration of interconnected productional businesses in a particular industry, forming close industrial networks. The advantage of the agglomeration includes reducing the transaction cost between the businesses, promoting technological innovation and dispersion, facilitating the utilization of the professional workforce, sharing and connecting the external customer. Moreover, this paper discusses the range of the industrial cluster and its distinctness from the other similar concepts. There is a need to discriminate it from the other related jargons and to clarify their relationship. In particular, there is a task to eradicate the mixed usage of industrial cluster with the jargons related to space for learning and innovation.

• Journal of Korea Technology Innovation Society
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• v.14 no.2
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• pp.301-319
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• 2011

This research focused on the strategy consulting of the 'Pankyo Technovalley' for the formation of the innovation clusters The study was performed based on both theoretical study and related qualitative study approaches. Particularly, 'scenario planning' as a foresight method was used for the strategy formulation of the innovation clusters. The major determinants for the success of the formation of the innovation clusters can be summarized as follows; the enhancement of the service of the host institution of clusters, the alignment of the national cluster policy with the strategy of the host institution and the networks of the clusters. In terms of the needs of times, this study regarding the strategy for the formation of the innovation clusters is anticipated to be a good reference for the R&D organizations and technology cluster participants in coming years.

• World Technopolis Review
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• v.2 no.2
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• pp.81-95
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• 2013

This paper seeks to build on previous work conducted by Porter, Devol, Florida, Bahrami and Evans, Wennberg and Lindqvist, and others contained in the literature, to construct a new way of looking at innovation cluster development. It seeks to describe the key elements contained in the research that serve as building blocks for innovation clustering, adding analysis dimensions that aim to further illuminate understanding of this process. It compares those building block characteristics to the innovation topography of U.S. urban centers, to shed light on a new framework through which urban innovation cluster formation can be considered. It identifies three building block analysis categories: 1) Technological Capability and Capacity (TCC); 2) Intellectual Propulsion Capacity (IPC); and 3) Structural Creative Inspiration (SCI). These three pillars form the architecture for creation of a Strategic Innovation Network (SIN), upon which clustering can be systematically analysed and built. The purpose of the SIN is to optimally organize and connect all available resources that include physical, financial, and human, such that innovation clustering is inspired, encouraged, nurtured, and ultimately constructed as fully functioning socio-economic organisms that provide both local and regional benefits. It is designed to aid both private enterprise and public policy leaders in their strategic planning considerations, and to enhance urban economic development opportunities.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.240-257
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• 2012

Regional innovation cluster is closely related to promoting innovations through activities for knowledge sharing and exchanges among organizations in an adjacent regional context. However, performance of activities for knowledge sharing and exchanges are basically influenced by cultural characteristics of the industries or regions where the organization belongs to. Therefore, knowledge management strategies in a unit of a regional cluster need to consider the cultural characteristics of an industry or region and in turn different activities need to be adopted according to cultural characteristics. This study explores the relationship between cultural differences and the performance of the activities to promote knowledge exchanges in a regional innovation cluster. For this study, factors reflecting cultural characteristics of diverse industries and regions were extracted and the relationships with the performance of the activities promoting inter-organizational knowledge exchanges were analyzed through statistical method.