인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
구미단지 혁신클러스터 분석과 구축방안 A Study on Innovative Cluster Analysis and Construction in Gumi National Industrial Complex
구미단지 혁신클러스터 분석과 구축방안
초록·키워드
The purpose of this study was to conduct an analysis of the impact structure of the innovation cluster and to suggest new policy directions for the Gumi National Electrical & Electronics Industrial Complex. To undertake this study, the Structural Equation Model (SEM) was used. Six components of an innovation cluster were chosen: agglomeration economies, labor market, networking, embeddedness, governance, and collective learning, all of which were utilized in the SEM by Capello (1991) and Morisini (2002). Data collection involved surveying target enterprises by means of an interview and a questionnaire. Each question response was based on a scale of 1 - 5. In total, 152 questionnaires were returned. The analysis of this data as applied to the SEM model indicates that three of the six components impacted relatively more on innovative performance than the other three. The more highly impactful components are agglomeration economies (0.475), networking (0.380), and collective learning (0.375). In contrast, labor market, governance, and embeddedness were relatively less impactful on innovation performance. Therefore, in order to enhance the Gumi Industrial Innovation Cluster, there are some new policy directions to be considered. First, the development of networking and collective learning is necessary among innovation agents such as the enterprises, government, universities, and research institutes. Second, R&D needs to be strengthened and increased support for marketing is required. Informal means of communication need to be developed so as to increase cooperation and to exchange information, etc. Lastly, there needs to be a focus on developing the innovation cluster rather than focusing on supply, physical structures, or industrial aspects.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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UCI(KEPA) : I410-ECN-0101-2009-539-017546026