• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.05a
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• pp.365-380
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• 1999

현재 이공계 고급인력의 경력이동은 매우 기형적인 패턴이다. 연구인력과 연구시설의 불균형이 심각하다. 본 연구는 고급인력의 경력이동과 관련된 문제점과 그에 따른 연구여건의 변화의 실태를 분석했다. 실태분석에 나타난 결과를 바탕으로 고급인력의 유동성을 국가적으로 최적화할 수 있는 정책방향을 틀을 제시하였다.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Science & Technology Policy
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• v.15 no.3 s.153
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• pp.99-116
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• 2005

• Satellite Communications and Space Industry
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• v.8 no.2 s.19
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• pp.122-135
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• 2000

• Science & Technology Policy
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• v.9 no.2 s.119
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• pp.27-35
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• 1999

• 한국과학기술학회:학술대회논문집
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• 2006.10a
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• pp.121-154
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• 2006

• Science & Technology Policy
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• v.4 no.5 s.62
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• pp.4-13
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• 1994

• Satellite Communications and Space Industry
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• v.8 no.1 s.18
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• pp.106-114
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• 2000

• Journal of Information Technology and Architecture
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• v.10 no.1
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• pp.47-62
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• 2013

In this paper, we analyze the comparative advantage of industry innovation (R & D) activities. The method is that companies are classified suppliers dominated- industry, productionintensive industries and science-based industries, and data of Statistical analysis were collected HCCP (KRIVET). The result is that Tipping phenomena of science-based is apparent and suppliers dominated- industry is the lack of comparative advantage. The implications are as follows. suppliers dominated- industries that specialize in R & D capabilities, support R & D capability is required. Second, the policy in terms of support for R & BD (linking technology commercialization support innovation) should be strengthened. Third, SMEs in the leveling down of industry R & D capabilities should be supplemented.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.147-174
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• 2010

This paper aims to analysis sectoral innovation patterns of technological innovation and localized knowledge spillover in Korean manufacturing sector. Sectoral innovation system approach proposed that the specific pattern of innovative activity and knowledge spillover in an industry can be explained as the outcome of different technological regimes. Technological regime is defined by the particular combination of technological opportunities, appropriability of innovations, cumulativeness of technical advances and properties of the knowledge base. Based on a sample of 2,882 firms in manufacturing sector, this paper provides empirical estimates of the relationships between firm's product innovation and localized knowledge spillover. Results of the analysis provide considerable support to the hypothesis that firm's product innovation and localized knowledge spillover are related to the nature of the underlying technological regime. In the industry based on the tacit and specific knowledge, firm's product innovation is positively related to the localized knowledge spillover. This paper also shows that high stability in the ranking of innovators are related to high degrees of cumulativeness and appropriability.