• Title/Summary/Keyword: Coopreation network

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The Effect of Cooperation Network in National Innovation System on Technological Innovation (국가혁신시스템 협력 네트워크가 기술혁신에 미치는 영향)

  • Ju, Seong-Hwan
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.107-116
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    • 2016
  • This study was conducted to propose creative innovation systems. The effect that cooperation network factors of innovation system in telecommunications sector called typical knowledge industry have on technological innovation was examined. We used the Korea Corporate Innovation Survey (KIS) Data for this study, it has to apply the OECD NESTI-WPIA methodology for probit analysis. The analysis derived the following findings. First, cooperation between the principal innovations in the telecommunication information generally have a positive impact on innovation. Second, cooperation with private institutions have an important role in technological innovation. Third, the various cooperation exerts a positive impact on innovation and has a greater impact on practical innovation in a low creativity level. With this result, it seems that our technological innovation policy should follow a direction of building corporatist-type system to establish cooperation promotion, privately led innovation, and a variety of opinions.

Recent Domestic Research Trend Over Startups: Focusing on the Social Network Analysis of Research Variables (스타트업 관련 최근 국내 연구 동향: 연구 변수들에 대한 소셜 네트워크 분석을 중심으로)

  • Kil, ChangMin;Yang, DongWoo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.2
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    • pp.81-97
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    • 2022
  • This paper's purpose is to get hold of the recent research trend by analyzing the variables uesd in startups related papers. The startups related papers in this paper are the papers which include 'startups' in the title of the registered papers from the year 2013 to the year 2020. This study's analysis methods are text-mining of all variables and text-network analysis of affected variables. Visualizing tool for network analysis is Gephi. The result of variables' analysis is as follows. First, independent variables consist mainly of variables about startups' internal factors and outside environment, but due to startups' features like early stage company's features, innovative features, most of variables are about enterprise internal competitiveness, marketing 4P strategy, entrepreneurship, coopreation method, transformational leadership, enterprise features, lean startup strategy, enterprise internal communication, value orientation, task conflict, relationship conflict, knowledge sharing, etc. Second, dependent variables are mainly about outcome, and are classified into financial performance and non-financial performance by overall concept. In other words, startups related papers have higher interest in non-financial performance, like management performance, team performance, SCM performance as well as financial performance like sales quantity owing to startups' immaturity in getting good financial performance. Through this study we can find out as follows. Although there are not many officially registered papers dealing with startups, those papers include various themes about stratups. For example, there are trendy themes like lean startups strategy, crowdfunding, influencer and accelerator, etc.