• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.293-309
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• 2013

Innovation clusters have different factors depending on different stages. Innovation clusters in Gyeonggi now are early stages, which are necessary to investigate factors so that they go into upstages. Silicon Valley is known as one of the best innovation clusters, which are now represented as the forms of related variety. The purpose of the paper is to investigate current situation of innovation clusters in Silicon Valley and suggest appropriate policies for the development of innovation clusters in Gyeonggi. In order to do this, we visit several representative institutions regarding infra, human-training, industry-academic-institution cooperation, start-up assistance and local government. Throughout the case study, we propose implications, and produce policy tasks for the development of cluster policy in Gyeonggi.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.2
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• pp.15-24
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• 2014

This research investigates the characteristics, principles, advantages, factors and problems of cluster development in Kazakhstan, and identifies the prerequisites, conditions and stages of organizing clusters on the framework of special economic zones. In this research, we used methods, which will allow analyzing of the organization industrial clusters in special economic zones in Kazakhstan. The author studied international experience of cluster development and the efficiency of the use of the model of the "rhombus effect" with account the specific features of interaction between the participants of the cluster, analysis of the legal framework for the formation and development of clusters. These have been identified as the more important or strategically necessary clusters in Kazakhstan: innovation-technological cluster, innovation-education cluster, innovation-petrochemical cluster, innovative-metallurgical cluster, transport and logistics cluster, textile industry cluster, tourism cluster, agro cluster, construction cluster, medical and pharmaceutical cluster. Firstly, the results suggest that the interaction of science, education, business and government in the development and implementation of innovation policy is not sufficiently structured to provide a balanced representation of the interests of the range of various innovative enterprises in Kazakhstan. Secondly, the legal basis of cluster development in Kazakhstan is determined. Need to develop mechanisms for the implementation of promising direction. Thirdly, the clusters can be formed in the existing special economic zones, allowing them to get right to the mass production of high-tech products that are developed.

• 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 Korea Technology Innovation Society
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• v.10 no.1
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• pp.98-120
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• 2007

This study analyzed the linkage relations of technological innovation between Daedeok Innopolis and other seven innovative clusters in industrial complexes which have played important roles as innovative centers in Korea. To begin with, we selected major technologies of Daedeok Innopolis for which the linkage with other clusters of innovative activities was analyzed quantitatively and graphically with association matrices, network analysis and dendrogram. Based on this network analysis, we analyzed the technological linkage among clusters and found the direction and strength of technological cooperation of the Daedeok Innopolis with other innovative clusters by technology field. This study analyzed the technological network between the Daedeok Innopolis and other clusters on 6 technology fields in which Daedeok has innovative capabilities. In the analysis was measured the centrality of Daedeok compared with that of other clusters in areas where Daedeok is relatively active in innovative activities. As a result, Daedeok showed the highest centrality with the active innovative activities. Except Daedeok, Banwol-Sihwa cluster showed the highest centrality in all of the 6 technology fields. Putting all the centrality of each innovative cluster and the linkage relations of Daedeok Innopolis together, it need to consider the following policy directions to strengthen the innovative linkage with other clusters. In Daedeok's main technology areas, it needs to increase the regional linkage with the clusters with relatively high centrality and relatively low linkage with Daedeok. For Changwon, Wonju and Gunsan with which Daedeok has the relatively low innovative linkage, it need to examine a new policy to improve the linkage with technologies related with the industry other clusters are nurturing. When Daedeok formulates a plan to cooperate with other clusters, it does not only have to consider the linkage relations of technological innovation analyzed in this study and but also has to examine the cooperative strategies from the comprehensive point of view considering every aspect of their strategic industries, supportive policies, industrial base and competitiveness. This study analyzed the linkage relations between regions based on the network analysis of patents only by co-invention. Consequently, it did not examine the factors inducing the co-invention, which is a limitation of the study and is to be investigated in the future. Also, the exploratory analysis on determinants of linkage intensity and the strategies to get synergy effects through solidified linkage will be the issues of further study.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.970-988
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• 2017

As an innovation cluster has become an important policy tool for attaining regional and national competitiveness, many nations and regions are making great efforts to foster innovation clusters. In the case of Korea also, many innovation clusters have been established and some of them are recently receiving a lot of attention due to their performance. In fact, there have been lots of investment by the central and regional governments. However, there have been no in-depth analyses on Korean successful innovation clusters. This study investigates some of the success factors of a Korean representative innovation cluster, Pangyo Techo Valley. We find out that the Pangyo Techno Valley has four groups of success factors: innovative environment, consistent policy support by regional government, knowledge networks, and good feed-back system of innovation. Our findings would have some theoretical and practical implications for innovation cluster research and policy practice.

• Journal of Technology Innovation
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• v.12 no.2
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• pp.67-97
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• 2004

Practical experience with technology implementation of the upgrading of very small village industries in India suggests that innovation failures are not merely a result of the lack of proper interaction between the users and suppliers of technologies under implementation, but also a result of adoption of the primitive conception of competitiveness in their practice of technology development. The approach of promoting the small producers to become individually competitive by using labour intensive, small-scale intermediate technologies is proving to be totally inadequate for the achievement of technological efficiency in a dynamic sense. Guided by a primitive notion of competitiveness, the suppliers of intermediated technologies are thus being led into limiting their technological efforts in the sectors of direct interest to the rural industrial clusters to the transitional objectives of mainly poverty alleviation. Consequently they have not been able to target the small producers of these village industries for the objectives of business growth. This paper posits that under competitive conditions the self-employed small producer has not only to come together for access to resources, but also has to emerge as a multi-sectoral collective of producers, co-operating in production. With the aim to draw lessons that are generic and have policy implications for the development of innovation systems for local economy based rural industrial clusters and value chains, the author analyses in this paper the experience of innovation in technological systems for the sectors of leather, fruits and vegetable processing and agro processing by the People's Science Movement with the help of the Ministry of Science and Technology and other sectoral ministries in India where rural poor were required to pool the resources and capabilities for raising the scale and scope of their collective production organization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2110-2116
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• 2012

This research focused on the strategy formulation for the development of the innovation cluster in Gyeonggi Province - 'Pankyo & Gwanggyo Technovalley'. The study was performed based on both theoretical study and quantitative & qualitative study approaches. Particularly, questionnaire survey was used for the diagnosis of the developmental stages of the innovation clusters. The major determinants for the development of the innovation cluster in Gyeonggi Province can be summarized as follows; the establishment of S&T based host institution, the gradual enlargement of the role of host institution and the enhancement of the network capability of innovation clusters. In terms of the needs of times, this study regarding the strategy for the development of the innovation clusters is anticipated to be a good reference for the R&D organizations and technology cluster participants in coming years.

• Journal of Technology Innovation
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• v.24 no.1
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• pp.189-219
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• 2016

Innovation clusters have developed a key policy indicator in the level of national competitiveness. Many countries have enhanced their regional competitiveness by fostering innovation clusters at the national, regional, and industrial level. In Korea, the cluster policy has been introduced and employed to a national policy as a means of facilitating a regional innovation for over two decades. This study analyze that the changes of the institutional, physical and social configurations of innovation clusters. In particular, we identified configuration factors which are the growth and development impact factors of individual subjects from the case study of the Daedeok Innopolis. Also, the factors are derived and identified priorities of the configuration factors by using Analytic Hierarchy Process (AHP) method in long term perspective. As a result, we provide the growth of individual innovation subjects, as well as the growth of the cluster caused by the cyclic causality among configuration factors. Also, we can suggest that innovation policy from priorities of configuration factors for innovation cluster which the priorities have lessons for policy implementation and new cluster policy agenda in Korea, in specific, the Daedeok Innopolis.

• World Technopolis Review
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• v.4 no.3
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• pp.144-156
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• 2015

Globalization and knowledge-based economy have increased the importance of local areas as the units of global competition. Therefore, the meaning of localities has been emphasized as the core value of economic activities. In this context, innovation cluster has been recognised and emphasized as effective policy measure for innovation. Therefore, most countries have been trying to develop innovation clusters with their expectation for a rapid growth of economy. Nevertheless, there have been minimal empirical researches on innovation cluster. Therefore, for suggesting implications that activation factors of innovation cluster are to have an effect on tenant's business activities, this study conducted a literature review for the theories of regional innovation system(RIS) and innovation cluster. As a result, the activation factors of innovation cluster were classified into institutional, physicals, and social factor. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. Data were analyzed using ordered logistic regression. The results were as follows:First, Institutional and Infra factors had a positive influence on firms' business activities in every empirical test, so they were the most important activation factors of innovation cluster. Second, regarding the interactive effects of financial support, the interactive effects between financial support and Infra factor had a positive influence on the firms' business activities, according to the result of the empirical test.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.361-364
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• 2008

A aim of this study is to show that trust formed among actors in clusters effects on the innovation for firms. This paper finds that trust is not enough formed. firms feel trust in relationship between firms and universities and between firms and research institutes. However, trust not to be formed in relationship between firm and public agencies and between firms and other firms. By mean of the finding, the various network types which can facilitate trust must be made by policy support.