• 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.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.2
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• pp.214-235
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• 2019

This study adopts the concept of social innovation cluster in which social economy organizations as one of the emerging axes of economic systems operate in collaboration with government agencies, investment institutions, intermediate supporting organizations and non-profit organizations, and investigates how the clusters of this kind grow in the context of the Korean socio-economic situation for the cases of Seongdong-gu and Eunpyeong-gu in Seoul, Korea. For this purpose, it has identified the actors of the clusters and their internal relations, and analyzed the process of cluster formation. A social network analysis of the partnerships between the actors has shown that Seongdong-gu has more diversified types of the network participation of universities, global networks and investment institutions than Eunpyeong-gu. It is interpreted that this pattern has resulted from the domination of private organizations in the former area, which is also confirmed by in-depth interviews with persons involved in the clusters. Although the facets of social innovation clusters are manifested in both areas, even in their initial stage, such factors as linkages between industrial actors and convergence with other clusters, which appear in the maturing stage of cluster formation, has yet to be found. It is suggested that the sustainable growth of social innovation clusters should be accompanied by information sharing and cooperation between the two areas on the future orientation of development.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.149-163
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• 2023

The policy of promoting innovation clusters aims to enhance the competitiveness of industries by strengthening the linkages between industry sectors and research sectors in specific regions. In Korea, after the concept of innovation clusters was introduced by the OECD in 1997, Korean government actively pursued policies based on this concept in the fields of industry, region, and science and technology. Previous policies and research on the activation of innovation clusters have tended to focus on the exchange and collaboration among members. However, this study focused on enhancing the competitiveness of industries and regions, in other words, strengthening the competitiveness of companies, which is the fundamental reason for fostering innovative clusters. Accordingly, this study aimed to analyze the impact of factors activating innovation clusters on the business performance of SMEs located in the Daedeok Innopolis. To achieve this, based on the essential concept of innovation clusters such as industrial agglomeration factors, networking factors, innovation generation factors, the study derived factors for activating innovation clusters and verified hypotheses using the survey results of 175 companies. Among the factors activating innovation clusters, industrial agglomeration and innovation generation were found to have a positive impact on the business performance of companies. However, networking factors were analyzed to have no significant influence on the business performance of companies. This study differentiates itself by addressing the factors for activating innovation clusters through empirical analysis, unlike previous case-based studies. Furthermore, considering the difference between intuitive judgments on networking factors in innovation clusters and their actual impact on business performance, the study raised the practical significance of conducting a comprehensive examination from various perspectives, such as the socially and culturally embedded structures in the region, the characteristics of specialized industries, and the needs of cluster members, to develop more effective policies for innovation clusters.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.08a
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• pp.17-30
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• 2017

지역단위의 분권화에 따라 각 지역적 상황과 산업적 시장적 환경과 내생적인 역량을 바탕으로 혁신클러스터 성장전략을 수립하는 것이 국가 및 지역의 발전전략에 필요한 보편적인 혁신전략이 되었다. 본 연구는 부산지역 혁신시스템의 구성요소인 대기업 및 벤처기업 근무자를 대상으로 혁신클러스터의 평가요인에 대하여 정책적 지원 제도, 사회적 인프라, 혁신주체 간 네트워크 환경과 각 요인별 세부 항목에 대하여 중요성을 판단하고 정책적인 시사점을 획득하고자 하였다. 방법적으로는 부산지역 대기업 및 벤처기업 종사자 20명을 대상으로 한 설문 응답 결과를 AHP(Analytic Hierarchy Process)를 이용하여 결과를 도출하였고, 그 결과 혁신주체 간 네트워크 환경이 가장 중요한 요소이며 그 중 공동연구 및 기술협력 부문이 가장 중요한 것으로 나타났다. 본 연구를 통하여 부산지역의 특성을 충분히 고려한 지역혁신시스템의 강점과 취약점을 분석하고 정책적으로 더 강화시켜나가야 할 부분을 확인할 수 있다.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.2
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• pp.173-191
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• 2018

Taking note of growing tendency of academic interests and policy applications with regard to social economy, this study aims to suggest economic geographical agenda for social economy. It is presumed that the orientation of social economy toward pursuing social value will exhibit unique spatial characteristics. Elements containing spatial implications have been identified through a review of hierarchial concepts including social innovation, social economy organization and social enterprise. Three approached are suggested as tools of understanding the spatial context of social economy: spatial characteristics inspiring social entrepreneurship, place-based context of decision-making by social economy organizations, and spaces formulated by interactions between the demand for solving social problems and the supply of economic resources. The investigation of social innovation clusters is required to focus on the differentiated characteristics from normal industrial clusters. It is also suggested that the concept of embeddedness be applied in the search of the essence and elements of social economy's ties with local community.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.1
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• pp.1-16
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• 2005

Literature on cluster theory and cluster policy has been focused on the differences between mature industrial areas and innovative regions. Mature industrial areas are described as possessing little competence for innovation and lacking entrepreneurship to be transferred an innovative region, say, an innovative cluster. Old industrial regions are, however, rich in social capital, local networking, and regional institutionalization. This paper compares Buchon's mature industries with Daejon's bio-sector new start-ups in terms of innovative potential, socio-economic and cultural-economic mechanisms. Policy implications such as networking and business support systems on the differential types of industrial regions are offered.

• 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.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.73-79
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• 2022

본 연구는 동시출현단어 분석과 토픽모델링을 통해 기업가정신의 연구주제와 연구 동향을 분석하여 기업가정신 연구에 대한 향후 연구방향을 수립하기 위한 정보를 제공하는 것이 목적이다. 이를 위해 Web of Science 데이터베이스에서 "entrepreneurship"을 기본검색어로 설정하고, 2002년부터 2021년까지 발표한 영어 논문으로 제한하여 기업가정신 논문의 데이터를 다운로드하여 데이터를 확보하였다. 본 연구에서는 VOSviewer 프로그램을 이용하여 동시출현단어 분석을 하였고, R 프로그램을 이용하여 토픽모델링 분석을 하였다. 동시출현단어 분석 결과, 기업가정신과 혁신 클러스터, 기업가정신 교육 클러스터, 사회적 기업가정신과 지속가능성 클러스터, 기업성과 클러스터, 그리고 지식 및 기술이전 클러스터 등 5개의 클러스터로 구분되었다. 토픽모델링 분석 결과, 창업환경 및 경제발전, 국제 기업가정신, 다양한 기업가정신, 벤처기업과 자본조달, 정부정책 및 지원, 사회적 기업가정신, 경영관련 이슈, 지역도시계획 및 개발, 기업가정신 교육, 기업가의 혁신과 성과, 기업가정신 연구, 기업가의 창업의도 등 12개의 토픽으로 분석되었다. 본 연구의 결과는 기업가정신 연구에 대한 전반적인 연구동향을 파악할 뿐만 아니라, 기업가정신과 관련된 어떠한 연구 주제들이 다루어져 왔는지에 대해 분석함으로써 기업가정신에 대한 연구의 이해도를 높이고 기업가정신 연구가 가져올 방향성을 제안하는데 활용할 수 있을 것으로 기대된다.

• 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.