• East Asian Economic Review
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• v.20 no.2
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• pp.191-228
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• 2016

This paper analyzes the role of absorptive capacity in R&D spillovers through strategic R&D investments in a game-theoretic framework. In the model, a firm's effective R&D is composed of idiosyncratic R&D, which produces its own innovations, and identical R&D, which improves absorptive capacity. The model shows that in the presence of absorptive capacity firms have a tendency to underinvest (overinvest) in idiosyncratic (identical) R&D relative to the social optimum. As the spillover becomes larger, firms decrease their own R&D while they become more inclined towards strategic exploitation of rivals' efforts. Since the former effect overpowers the latter, the total amount of R&D decreases as the spillover increases. This is socially undesirable, providing a potential justification for a governmental subsidy for idiosyncratic R&D and a tax on identical R&D. The findings may have important implications for newly industrialized or emerging countries that consider a redirection of national R&D policy and intellectual property rights (IPR) regime.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.5-20
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• 2006

An efficient and productive R&D operation is a major source of competitive advantage in today's economy, and a lot of efforts are made to raise R&D productivity. A prerequisite for making R&D more efficient and productive is to be able to measure it. Hence, a number of studies have attempted to measure R&D productivity. R&D productivity, in the previous studies, was measured with patents at the firm or industry level. However, most previous studies considered only a quantitative aspect, not a quantitative aspect of patents. In this study, various dimensions of patent quality as well as patent quantity were considered for the measurement of R&D performance. The differences in R&D performance across sectors were examined, and it was found that electrical/electronic industry shows higher R&D performance than mechanic and chemical industries. Discriminant analysis based on inputs and outputs for R&D shows' that there exist a strong discriminatory power across industries. The results of this research can provide the directions 'for the firm's R&D policy.

• Proceedings of the PSK Conference
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• 2005.04a
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• pp.67-68
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• 2005

• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.26-40
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• 2003

Korean enterprises have increased their R&D efforts to a large scale since the 1990s, especially after IMF jurisdiction period. The number of research institutes and R&D resources increased sharply. In line with the increase of R&D efforts, this paper investigates how well Korean firms manage R&D capabilities. According to our analysis, Korean enterprises adopt about the 2.3th to 2.7th generation of R&D management. In spite of insufficient R&D resources, Korean SMEs adopt a similar level of R&D management practice to that of big firms. However, some big enterprises have already adopted the 4th generation of R&D management. Also, many SMEs adopt a much lower level of R&D management than average level. In this sense, it is necessary to make an in-depth study on firms'R&D management capabilities by utilizing various factors of R&D generation model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.87-94
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• 2020

In this study, the factors affecting the efficiency of 48 projects of private R&D institutes were analyzed using the Tobit model. Influencing factors were selected as open R&D network size, IT industry, interaction between R&D network size and IT industry, and type of R&D network cooperation. As a result of Tobit analysis, the R&D network size, the IT industry, and the type of R&D network cooperation were found to be significant. The larger the open R&D network size, the lower the efficiency, and the IT industry showed lower R&D efficiency than other industries. In addition, cooperation with universities and research institutes showed lower R&D efficiency than cooperation with companies. As a result of these studies, companies will be able to select and focus on cooperation with the outside in relations and investment allocation.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.961-963
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• 2009

a-Si process-based advanced-SPC (a-SPC) TFT has been developed and verified by manufacturing an AMOLED panel having improved cost competitiveness by using the existing a-Si infrastructure. The a-SPC TFT had superior device reliability and current drivability to a-Si TFT to meet the requirements of AMOLED backplane.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.583-586
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• 2009

A 14.1" XGA (1024${\times}$768) LCD panel with Integrated Black Data Insertion (IBDI) has been world first developed successfully based on the integrated amorphous Silicon TFT gate driver which we previously introduced. The notable features compared with the conventional integrated a-Si TFT gate driver circuit are that the circuit consists of Dual buffer, Carry buffer structure, and Q-node cross charging for stable signal scanning characteristic and prevention of coupling between signal lines.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.113-116
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• 2008

The active layer thickness and curing condition dependent performance of an organic thin film transistor (OTFT) with inkjetted organic semiconductor (OSC) layer is studied The best performance of the OTFT was found when the thickness of ose was ~120 nm cured at $60^{\circ}C$. The performance enhancement of the OTFT with inkjetted OSC layer was discussed by comparing the OTFT with spin-coated ose layer.

• Proceedings of the Materials Research Society of Korea Conference
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• 1998.08a
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• pp.42.4-42
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• 1998

• Journal of Energy Engineering
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• v.23 no.3
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• pp.42-50
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• 2014

Korean government has been investing more than 400 billion KRW in R&D on renewable energy. This paper aims to measure the R&D efficiency of national R&D program in the field of renewable energy, and to identify the sources of inefficiency. 4,213 R&D projects supported by Korean government during 2009-2011 are analyzed by using Data Envelopment Analysis and statistical tests. Results implies as follows. First, hydrogen, bio, fuel cell, photovoltaic have higher R&D efficiency than other renewable energies. Second, universities conducted national R&D program more efficiently than firms did, and small and medium sized enterprises are more efficient than large sized enterprises. Third, R&D inefficiency is mainly caused by the lacks of patent performance rather than excessive R&D investment or academic paper performance.