• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1396-1406
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• 2006

The policy aims of Regional Innovation Cluster(RIC) are not making the RIC itself but promoting the competitiveness of Small and Medium Enterprises(SMEs) in the region. Also, it goes without saying that small and Medium Enterprises (SMEs) do the key roles of regional economic growth. This paper indicates that the innovative capabilities of SMEs are the crucial factors of the success of Regional Innovation Cluster. In order to improve SMEs' capabilities for innovation, knowledges are vital including codified knowledge or tacit knowledge. In cluster, the linkages especially among researchers and factory workers is important to innovative activities, and universities have to of for knowledge, education programs and new researchers fully qualified to SMEs. Also, regional governments and medias positively participate the cluster as helpers. Based upon the research results, some policy implications have been suggested concerning the policy supports to enhance innovative activities of SMEs within the Regional innovation Cluster.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.195-217
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• 2003

Since the early 1990s, cluster-based policies have been celebrated as the basis of successful regional industrial and technological development strategy by encouraging regional innovation and technological spillover. Most recently, the Korean government has also begun to seek to initiate some strategies for promoting industry clusters. However, it is problematic that the cluster policies still focus on attracting related firms and establishing supporting agencies and physical infrastructures rather than improving social and institutional dimensions for cluster development such as social capital, networks, social learning capabilities, the governance of regional innovation. In this paper we attempt to elucidate social and institutional dimensions for cluster development and suggest some policy agenda to promote innovative cluster.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.675-699
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• 2012

Recently innovation cluster has been emphasized as a valid policy measure for innovation. For suggesting a new model of innovation cluster, we conducted literature review for the theories of regional innovation system(RIS) and innovation clusters. As a result, the success factors of innovation cluster were classified into system measures, physical measures, and social(human resources) measures from the perspective of RIS. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. For an in-depth analysis, a survey for the tenant companies in Pangyo technovalley(PTV) was conducted. As a result, it was found that Gyeonggi province's innovation cluster policy is evolving from 'a government-initiated system' to 'the 3rd-generation convergence RIS' and that PTV is closely related to the system measures of 'support for up-to-date management and technology information' and 'support for academic-research-industry cooperative research and technological cooperation,' physical measures of 'strengthening the function of PTV support division' and 'shared research equipment and other infrastructures,' and social measures of 'legal, financial, and administrative support system' and 'public childcare facilities'. Also, technology sector was divided into IT and non-IT for a validity check to find out that there was no significant difference in all factors, except for the public relations factors. This study is expected to provide resources for other related researches.

• Journal of Korea Technology Innovation Society
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• v.19 no.4
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• pp.848-872
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• 2016

This study is an empirical analysis that makes a survey on the evaluation of innovation cluster. For this purpose, we explore a case of innovation cluster, the Pangyo Techno Valley. This survey applies a research frame and evaluation contents that the innovation performance which is the institutional, physical, and social configurations of innovation clusters. In particular, this empirical analysis identifies the configuration factors which are the rational influence factors of individual subjects, in order to foster innovation clusters from the case study of the Pangyo Techno Valley. We can suggest that innovation policy from the results of innovation performance by applied configuration factors for evaluation of innovation cluster in order to enhance and facilitate for innovation cluster. Also, this study can provide lessons for regional policy implementation and new cluster policy agenda in Korea.

• International Commerce and Information Review
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• v.11 no.2
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• pp.203-230
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• 2009

Can we use the open innovation paradigm in Korean economy? Can Korea move from imitative national innovation system to Creative national innovation system without open innovation paradigm? We are looking for preliminary answers about these questions. In this paper, first of all, we review the theoretical factors of open innovation originated from professor Chesbrough, try to find out the limit of the theory, and propose the possibility of extending of open innovation from company to industrial sector, region and cluster, and national innovation system. We also review the user innovation models from Von Hippel and open business models. Second, we review the Korea open innovation cases according to the categories like as company, sector, cluster and regional innovation system, and national innovation system. Third, we prepose the theoretical and realistic implications, and next research agenda about Korea open innovation.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.4
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• pp.377-393
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• 2007

National balanced development and regional innovation have been one of the most important national agendas under the Participatory Government. National balanced development gives a central focus on realizing self-sustaining localization which is based on regional innovation. The core policy goal is to build competitive regional innovation system and innovative clusters in the regions of the country. In this vein, this paper aims to evaluate the present government's policies of regional innovation and innovative cluster. It needs to point out that the regional innovation and cluster policies show some critical problems. Firstly, the policy-making process is based on the top-down approach rather than the bottom-up one. Secondly, regional innovation policies, in many cases, expose the redundancy of similar policies and a lack of linkages between similar policies. Thirdly, the regional innovation policies are too much social infrastructure building-centered, even though the basic principle of regional innovation policy should be based on building superstructure such as networking and social capital.

• Journal of Technology Innovation
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• v.11 no.1
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• pp.195-214
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• 2003

Sweden's regional innovation system is built mainly on innovative clusters, several of them - in automobile, steel, new materials, information and telecommunication, and bioscience - world-class. Most successful clusters were developed at local bases imbued with local history. In fact, a cluster's competitiveness is intimately related to its closeness of fit with its local environment. Geographically dispersed clusters in Sweden - some national, others local, and some local but deemed members of a national cluster as well - have already created many new competitive products and services. In 2001, Sweden has eight national and nine regional clusters, and envisioned eleven national and five regional clusters more. The experience of Swedish clusters indicate several elements that determine the ability of cluster policies to promote and strengthen regional economic growth. Cluster policies require strong public sector support, particularly in the form of providing basic national conditions. Regional cluster policies place new demands on national and regional industrial policies. All policies must be closely interwoven without compromising their primary allegiance to their respective areas.

• Journal of the Korea Safety Management & Science
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• v.23 no.1
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• pp.81-94
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• 2021

In SMEs, technological innovation is recognized as an important tool in terms of sustainable growth. This study analyzed the determinants of technological innovation by using the information of the corporate panel DB composed of local SMEs. The internal factors were added with technological innovation capacity and production capacity and the industrial cluster environment was first applied to external factors. Also, whether the industrial cluster environment influences technological innovation through R&D capabilities, the mediating effect was tested with the Sobel Test. Among the internal and external factors, the most important determinant was marketing ability, and a policy was proposed to develop measures to increase R&D capability with mediating effect. Among the technological innovation variables, which are dependent variables, the most determinant factor was the proportion of new product sales. For this, it is considered that additional research such as longitudinal research with the concept of repetition and parallax using the corporate panel DB is necessary.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.165-190
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• 2008

The purpose of this study is to find problems of Geographical Cluster and to analyze relationships between problems of a Geographical Cluster and its performance. The problems of geographical cluster include those of technical fusion, increase of incidental expenses, conditions of settlement, and absence of industrial infrastructures, and performance factors are satisfaction with the cluster policy and within cluster firm's performance. According to the results of analyses based on the data collected from 75 firms located in the Gumi electronic industry cluster complex, first, problems of technical fusion, and absence of industrial infrastructures had a negative(-) effect on satisfaction with the cluster policy. Second, absence of industrial infrastructures had also a negative(-) effect on within cluster firm's performance. In the conclusion, further discussion, limitation of this study and future direction were suggested.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.105-119
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• 2021

The innovation cluster is formed by cooperation and networking among a number of actors, including companies, universities, research institutes, government and other supporting organizations, but the main subject of innovation in the venture ecosystem, which can be said to be the core of the innovation cluster, is the enterprise. Therefore, enterprises in innovation cluster can be seen as a major user of the innovation cluster policy. In order for the policy to be executed smoothly, policy acceptance is important. However, existing research on policy prioritization tends to be centered on policy providers, so it is necessary to check them from the perspective of policy users. Accordingly, this study conducted discussions from a two-way perspective to establish the correct policy direction through a balanced perspective between a policy provider-centered top-down perspective and a policy user's bottom-up perspective. First, the factors for activating the innovation cluster (three factors in the first level and 14 factors in the second level) were derived through prior research and expert interviews. After that, the importance of the factors for activating the innovation cluster was analyzed using AHP (Analytic Hierarchy Process) for the policy provider group and the user group in the Daedeok Innopolis, a representative case of innovation cluster policy. As a result of analyzing the importance of the innovation cluster activation factors from the perspectives of policy providers and users, some similarities were also seen, but overall differences in mutual perception were found. It was found that the policy provider group focused on innovation creation factors, while the policy user group viewed innovation creation, clusters, and industrial location factors from a more balanced perspective. This study is meaningful in that it deals with both perspectives in a balanced way by expanding the targets from the existing policy provider-centered research to policy users. In addition, practical contributions exist in the aspect of providing basic data so that policies can be carried out based on corporate needs in fostering innovation clusters.