• Science & Technology Policy
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• v.8 no.6 s.111
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• pp.54-63
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• 1998

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.199-229
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• 2013

S&T policy long treated as a sector policy is now solidifying its position as an infrastructure innovation policy that forms the foundation for many different policies. There is a growing need for enhancing the linkage and integration between policies by strengthening planning and coordination functions of the government organizations in charge of innovation policy. The major countries including Japan, U.S., Finland elevated planning and coordination roles and emphasized the interaction between S&T-society and innovation governance in response to emergence of the third-generation innovation policy. This study deal with several issues related STI governance from the post-catchup innovation and holistic innovation policy and examine arguments on governance design. And then new schemes and alternatives of 1)governance design for sustainability, 2)design of policy coordination and integration mechanism, 3)reorganization of S&T administration system will be discussed.

• Convergence Security Journal
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• v.23 no.1
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• pp.109-115
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• 2023

The future outlook for defense faces various and challenging environments such as the acceleration of uncertainty in the global security landscape and limitations in domestic social and economic conditions. In response, the Ministry of National Defense seeks to address the problems and threats through defense innovation based on scientific and technological advancements such as artificial intelligence, drones, and robots. To introduce advanced AI-based technology, it is essential to integrate and utilize data on IT environments such as cloud and 5G. However, existing traditional security policies face difficulties in data sharing and utilization due to mainly system-oriented security policies and uniform security measures. This study proposes a paradigm shift to a data value-based security policy based on theoretical background on data valuation and life-cycle management. Through this, it is expected to facilitate the implementation of scientific and technological innovations for national defense based on data-based task activation and new technology introduction.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.33-58
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• 2010

This paper explores the patterns of technological innovation in Korean manufacturing sector in accordance with technology intensity which classifies industries into four sectors; high-technology, medium-high-technology, medium-low-technology and low-technology. Empirical study using Korea Innovation Survey(KIS 2008) data shows that the patterns of technological innovation in Korea exhibits the characteristics of science-based firm described by Pavitt across all industry sectors regardless of the level of technology. On the other hand, overseas studies have found the distinct differences between high-and low-technology sectors; the former is shaped by science-based firm and the latter by supplier-dominated firm. It implies that technological innovation activities in Korea do not reflect the level and/or nature of technology and innovation patterns conform to a single standard of high-technology sector. Further studies on causes and impacts of this inclination would be required for effective technology and innovation policy that fits with the level and/or nature of technology in individual industries.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.493-514
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• 2012

Research collaboration between industry and universities is high on many policy agenda's nowadays, especially with regard to science-based technological innovation. Nonetheless, there have been few attempts at examining large-scale systematic and quantitative data on the nature and extent of university-industry collaborations. The objective of this paper is to explore the patterns and trends of research collaborations between universities and companies for scientific knowledge production in the seven science-based technologies. This paper uses co-authored articles published in major scientific journals in the world as an indicator of collaborative scientific research between universities, companies and governmental research institutes. The tens of thousands of co-authorship papers in the northeast region in the US over the years 2006 to 2010 were analyzed for collaboration patterns and their spatial characteristics. This paper finds that there were increases both in the proportions of multiple authored, particularly five or more, papers, and in the volume of international collaborations. By examining a type of collaborations between different institutions, research collaboration between universities and companies in this region is relatively high share at national level. This suggests that the national or even international scale seems more appropriate for innovation policies.

• Science & Technology Policy
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• v.11 no.2 s.128
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• pp.74-79
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• 2001

• 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 Korea Technology Innovation Society
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• v.14 no.2
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• pp.223-245
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• 2011

We have analysed the impact of innovation on the employment in the Korean Service sector using KIS 2006 data. Our study is based on Bogliacino and Pianta (2010)'s model, which involves two main innovation strategies, technological competitiveness and cost competitiveness, as the main explanatory innovation variables for the employment dynamics. Empirical results show that an increase in demand was the strongest driver for an increase in employment in all four service sectors, including Science-based, specialized supplier, size and information intensive, and supplier dominated. Innovation strategy appeared to have a significant effect on employment at the firm level; Technological competitiveness showed a positive effect on employment in science based sector while cost competitiveness appeared to give a negative effect in specialized supplier sector. The firms in size and information intensive sector showed that increase in wages gives negative impact on their employment. However, cost competitiveness did not give any significant effect on employment dynamics of firms in size and information intensive sector and supplier dominated sector. This finding is different from the research of Bogliacino and Pianta (2010) on the European countries. One possible explanation would be that innovation strategy does not affect employment of firms in size and information intensive sector and supplier dominated sector since the level of innovativeness of these sectors in Korea fall behind that of European countries.

• Journal of Science and Technology Studies
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• v.13 no.2
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• pp.111-136
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• 2013

Meeting and solving persistent societal problems and challenges through science, technology, and innovation is now an emerging policy agenda in Korea. This socially-oriented innovation needs integrated approach on technological and social innovation. This study aims to suggest the necessity of new process named 'socio-technical planning' and propose its characteristics and implications. It deals with some cases of socio-technical planning activity and classifies their characteristics and types. And then, this study suggests the direction of socio-technical planning development.

• Journal of Science and Technology Studies
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• v.15 no.1
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• pp.245-279
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• 2015

The new innovation model that deals with agenda as sustainability, quality of life, societal challenges is emerging as NIS(National Innovation System) is needed to transit to post catch-up and creativity. To achieve this objective, there is a growing need for enhancing usage of ICT, end-user's needs, prolification of R&D results and social impact. Living Lab is the new innovation model that end-user's participation, co-work/network within actors and usage of user's experience and This study deal with Living Lab related R&D of ICT-based service from co-work with end-users. Example cases are Turku Archipelago Living Lab in Finland, and Living Lab projects in EU, EIT ICT Labs and ELLIOT. And the focus of case analysis is that reflection of user's needs and experience, and aspect of ICT usage.