• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11A
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• pp.831-843
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• 2009

In this paper, we propose a new adaptive cooperation scheme with multi-relay nodes which achieves higher performance and spectral efficiency than that of some conventional cooperative schemes. The relay-selection is applied to choose the most potential relay among K ones. Afterward, the instantaneous signal-to-noise ratio (SNR) differences between S-D, S-R and R-D channels are considered for adaptive selection between the direct and the cooperation transmission strategy. In the proposed adaptive protocol, if the direct link is of high quality, the source will transmit to destination directly with all power consumption. Otherwise, the source broadcasts the signal with a lower power and requires the help of the chosen relay if it decodes correctly, else the source will transmit again with remaining power. Firstly, the spectral efficiency is derived by calculating the probability of each mode. Subsequently, the BER performance for the adaptive cooperation scheme is analyzed by considering each event that one of K relays is selected and then making the summation of all. Finally, the numerical results are presented to confirm the performance enhancement offered by the proposed schemes.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.689-710
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• 2011

The purpose of this paper is to positively analyze firms' innovative performance enhanced by cooperation, such as industry-university or industry-government, in service industry. We use PSM method (Propensity Score Matching) based on Korea Innovation Survey data in service industry to investigate it. This empirical study finds that cooperation with university or government partially has positive effects on firm's patent applications and innovation. So, we suggest we need various policies for research institute linkage in service industry.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.59-82
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• 2023

The purpose of this research is to conduct the empirical analysis of the short- and long-term causal relationship between public R&D investment, corporate R&D investment, and university R&D investment on economic growth in Korea. To this end, based on the time series data from 1976 to 2020, a causality test was conducted through the unit root test, cointegration test, and vector error correction model (VECM). As a result, it was found that there is a long-run equilibrium relationship between economic growth in Korea, public R&D investment, corporate R&D investment, and university R&D investment, in which a causal relationship exists in the long run. Also, while public R&D investment has a short-term effect on economic growth, corporate and university R&D investment does not have a short-term effect on economic growth. In addition, the results shows that there is a bidirectional causal relationship between economic growth and public R&D investment, corporate R&D investment and public R&D investment, and university R&D investment and public R&D investment in the short term. Through this research, it was empirically found that a highly mutual relationship exists between public R&D investment, corporate R&D investment, university R&D investment and economic growth. In order to increase the ripple effect of R&D investment on economic growth in the future, R&D investment between universities and corporations should be mutually promoted, and R&D investment by corporations should have a positive effect on public R&D investment so that public R&D investment can contribute to future economic growth.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.498-506
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• 2018

Considering that firms' view on R&D activities may differ depending on the economic situation, in this paper, R&D policies that significantly affect the business performance are identified. The analysis is conducted by dividing the analysis time-frame into before and after the economic recession. In addition, we analyze by considering the type of industry, the proportion of R&D investment, and the type of government support policy that the companies participate in. According to the results of the empirical analysis, the provision of global market and technology information is recognized to give a significant impact on business performance for both before and after the economic recession. It is shown that recognizing the importance of 'supporting self-technology development', 'enhancing technical cooperation with foreign countries', and 'enhancing the contract and intellectual property protection system' that had significant effects before the recession did not significantly affect the business performance after the recession. The analysis results could give meaningful implications to the government for deciding which R&D activities should be supported.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.261-286
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• 2014

Recently, project performance and management of government R&D program investing huge amount of budget is being focused. In this study, I built a model for estimating the performance creating paths of the government R&D program, then I analyzed the attributes of performances created by industries. I used simultaneous equations with FIML and examined the IT industry and CT industry of industrial technology innovation program using survey on R&D performance conducted by KEIT. On the analysis result, all the companies create the innovation performance through the government grants. However, the one who commercialize patents is SMEs in IT industry, and conglomerates in CT industry. SMEs in IT industry, which has characteristic of complex product, need extra self innovation activities even the government supports them. For improving the commercialization performance and technology development of SMEs in CT industry, it is effective when conducting cooperative research. These findings give us the implication that it is needed to consider different factors by industrial and enterprise characteristic when planning the public policy and government tasks.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.884-906
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• 2015

본 연구는 공공연구기관의 기술이전 효율성을 분석하기 위해 효율성 분석기법인 DEA를 활용하였다. 투입요소로 연구비, 연구인력, TLO 인력, TLO 운영비 네 가지를, 산출요소로 기술이전 계약건수, 기술이전 수입료 두 가지를 선정하여 기술이전 효율성을 산출하였다. 기술이전 효율성에 영향을 미치는 변수로 지역적 위치, 연구기관 유형, 민간부문 연구개발비 비중, 인센티브 제도 등을 고려하여 산출된 효율성을 비교하였다. 본 연구의 분석을 통해 다음의 4가지 시사점을 도출하였다. 첫째, 연구기관 지방이전 시 먼저 인프라를 구축하고 산학연협력이 제대로 이뤄질 수 있는 환경을 조성해야 한다는 것이다. 둘째, 연구기관별로 설립 목적에 맞는 R&D를 수행할 수 있도록 해야 한다. 셋째, 민간수탁 증대가 R&D 효율성(기술이전 효율성)과 직접적으로 연결이 될 거라는 단편적인 생각은 버리고 폭넓은 의견수렴과 심층적 조사가 필요하다. 넷째, 인센티브 제도나 규정을 운영함에 있어 TLO 인력에게 직접적인 동기요인으로 작용할 수 있는 장치를 만들어야 한다. 본 연구의 분석을 통해 정부 연구기관들의 기술이전 효율성에 대한 이해를 높이고, 도출된 시사점을 바탕으로 국가 R&D 체계를 개선하는데 유의미한 정책의 개발이 있을 것으로 기대한다. 또한 공공연구기관의 기술이전에 대한 관심과 논의가 확대되고, 향후 축적될 자료를 활용한 정교한 연구가 활발히 이어지기를 희망한다.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.538-547
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• 2021

This article explores the possibilities and limits of the University-Industry Collaboration (UIC) Faculty System from their perspectives. A qualitative research study is conducted to gain an in-depth understanding of experiences of the UIC faculties. Semi-structured interviews of eight UIC faculties working for A University located in the Seoul Metropolitan area were conducted for the date collection. The results suggest that the UIC Faculty System has provided retirees with an opportunity to move into a second career. Their intangible assets such as industrial field experience, R&D competency, organizational competency, and network all together have contributed to the innovation of the university education. However, the short-term performance-oriented operation has prevented the development of the UIC faculty system. These findings suggest that the system should be improved in order to promote its mutual benefits to both universities and UIC faculties.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.33 no.6
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• pp.8-16
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• 2015

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.786-819
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• 2014

Emphasizing the importance of R&D as a source of open innovation, Korean government is developing various programs focused on technology commercialization and is expanding investment on it. In spite of those efforts, technology commercialization is not vitalized yet due to the lack of demand for technology transfer, R&D planning scheme without considering market, immaturity of technology market, and so on. This study aims to suggest the business ecosystem model so that technology commercialization could be facilitated based on business ecosystem perspective. We set the framework for modeling a business ecosystem through reviewing the previous works, and draw several problems to be solved regarding public R&D commercialization in Korea from the perspective of ecosystem. Considering those, this research proposes the business ecosystem model for public R&D commercialization as a reference model for describing, discussing, and developing the technology commercialization strategy. The proposed model consists of 4 domains as follows: R&D, technology market, information distribution channels, and customers. The business ecosystem model shows that technology commercialization could be facilitated to create the market value through close relationship and organic cooperation among its members that form the ecosystem. Public research institutes as a keystone player could control the fate of the ecosystem. In this regard, this paper suggests roles of public research institutes for evolving the business ecosystem.

• Journal of Korea Technology Innovation Society
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• v.17 no.3
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• pp.563-583
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• 2014

We classified collaboration types of Government-supported Research Institutes (GRIs) in Korea to make a creation knowledge with the openness and the diversity. The openness is described to collaboration dependence and leading intensity, and the diversity is expressed to collaboration diversity and collaboration concentration. We suggest four taxonomy models explained in terms of the openness and the diversity with country level and institute level. This study uses 39,507 papers in SCOUPS DB that include author(s) affiliated to 26 GRIs. It concludes that many GRIs is classified to the type of multilateral collaboration follower in institute level and to the type of global network player in country level from the perspective of openness. In the aspect of diversity, many GRIs is concentrated to the collaboration type of picky eater or monophagous in institute level and to the multinatioal asymmetry type or non-multinational asymmetry type in country level. It is necessary for GRIs to lead collaboration and to transfer inhouse R&D institutes with high performance to be competitive institutes which make high quality knowledge.