• STI Policy Review
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• v.4 no.1
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• pp.27-53
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• 2013

Technology research and development (R&D) expenditures have increased as most countries recognize that technological innovation is a significant factor for continued economic growth. R&D subsidies by governmental entities were permitted in accordance with the Subsidy and Countervailing Measure (SCM) Agreement under the World Trade Organization (WTO) system. However, according to Article 31 of the SCM Agreement the provision for R&D subsidies have been terminated as of January 2000 and legal disputes over R&D subsidies are likely to increase. The aircraft industry has been the only industry where R&D subsidies have become an issue under the WTO. This paper examines international trade disputes within the aircraft industry in regards to measures by Canada and bilateral disputes between the U.S. and the European Communities (EC). In these cases, various R&D subsidies on civil aircraft are found to be inconsistent with WTO rules. This study summarizes the WTO decisions on various R&D subsidies disputed in the aircraft cases and examines the type of R&D subsidies found to be inconsistent (or consistent) with the WTO to provide guidelines for current and future R&D subsidy policies in high-tech industries. The Canada-Aircraft case indicates that R&D subsidies directly targeted towards near market R&D projects with a high export potential will likely be in violation of current WTO rules. Furthermore, findings from the EC-Aircraft and the U.S.-Aircraft cases suggest that the forms (or the methods) of R&D subsidy distribution were not a sufficient condition for the WTO ruling; instead, what ultimately mattered was whether and specifically to whom the benefits of the R&D subsidies are conferred by the government entities.

• Korean System Dynamics Review
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• v.5 no.2
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• pp.125-147
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• 2004

System dynamics model has been developed and computer simulation has been peformed for the evaluation of R&D policy. One of the main results of the basecase scenario is as follows. After simulation of nuclear R&D resource allocation strategies, we discovered that their net benefit value was maximum at 130% nuclear R&D budget case. And after simulation of human resource management strategies and policy research program strategies, we confirmed that it is beneficial to allocate budgets in the early phase for human resources management program and research program for the policy.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.14 no.2
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• pp.137-140
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• 2011

Research and development (R&D) is very important to acquire new knowledge in various fields. The significance of public R&D is also increasing, especially related to health policy making, establishing basic databases, and enhancing basic and clinical science. The total budget of general public R&D in Korea was approximately ten billon US Dollars in 2008, but the proportion of health care research was just below 10%. In private sectors, it was three times the amount allocated to the public budget. In this article, recent trends in public R&D in Korea, especially related to health care policy and biotechnology are summarized. A brief overview of the application process for a specific policy fund is also described for early-stage researchers in these fields.

• Journal of the Korean Statistical Society
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• v.28 no.4
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• pp.523-533
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• 1999

We consider the M/G/1 queueing model with D-policy. The server is turned off at the end of each busy period and is activated again only when the sum of the service times of all waiting customers exceeds a fixed value D. We obtain the distribution of unfinished work and show that the unfinished work decomposes into two random variables, one of which is the unfinished work of ordinary M/G/1 queue. We also derive the distribution of queue waiting time.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.11-23
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• 2012

This study makes an attempt to understand the changes in the National R&D policy by the comparative analysis in terms of R&D policy regime. We characterize the related issues on the National R&D policy, and analyze the direction of science and technology(S&T) policy using the method of scientometrics. The result shows that the policy regime can be categorized into three groups with respect to the R&D efficiency and the keywords; Regime 1: National S&T Innovation 5-year Plan(1999-2002) and National S&T Master plan of the previous adminstration(2003-2007), Regime 2: National S&T Master Plan(2002-2006) and National S&T Master Plan of the previous administration(2003-2007), Regime 3: National S&T Master Plan of the current administration (2008-present).

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.222-235
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• 2022

The Government provides a financial assistance to stimulate firm R&D and innovation activities. Previous papers on the impact of public subsidies on firm R&D investments mainly had a focus on an individual policy tool regardless of potential impacts of other policy instruments. This study addresses this gap by examining the effects of policy mix regarding a subsidy and a tax credit. The empirical analyses from fixed effect model using Survey on Technology of SMEs 2015-2017 revealed valuable points. First, policy mix induces more R&D investment of SMEs, which in turn, shows a complementary relationship between two instruments. Second, even if impact of tax credit controlled, subsidy is positively associated with SMEs R&D investment. These findings justify policy mix interventions to promote SME R&D activity. Moreover, grants can be applied as a more useful policy tool for SMEs that are constrained by resources and capabilities.

• Economic and Environmental Geology
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• v.51 no.3
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• pp.279-289
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• 2018

With the launch of the new government in 2017, National Planning and Advisory Committee (NPAC) announced the five-year plan for the government administration and the 100 national tasks. The Ministry of Science and ICT (Information & Communication Technology) (MSIT) and other government agencies issued work plans for 2018, including R&D plans. Analyzing the changes in government policy will be a major task of public research and development institutions. This study analyzed the changes of the R&D policy of the new government and the R&D policy direction and strategic plan of the government departments related to the geoscience and mineral resources in 2018. The results of the analysis are as follows: 1) to lead the innovation growth through the 4th industrial revolution, 2) to supply clean energy and to cope with climate change in the environment and energy field, 3) to improve the quality of life through problem solving in the life of the people and disaster prevention. Considering the investment direction of the government, it is necessary to lead the geoscience and mineral resources R&D to solve problems of the society and to grow by the science and technology.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.1-12
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• 2016

In this paper, we consider a general discrete-time queueing system with D-BMAP(discrete-time batch Markovian arrival process) and D-policy. An idle single server becomes busy when the total service times of waiting customer group exceeds the predetermined workload threshold D. Once the server starts busy period, the server provides service until there is no customer in the system. The steady-state workload distribution is derived in the form of generating function. Mean workload is derived as a performance measure. Simulation is also performed for the purpose of verification and a simple numerical example is shown.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.53-63
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• 2018

In this paper, we analyze the waiting time of a queueing system with D-BMAP (discrete-time batch Markovian arrival process) and D-policy. Customer group or packets arrives at the system according to discrete-time Markovian arrival process, and an idle single server becomes busy when the total service time of waiting customer group exceeds the predetermined workload threshold D. Once the server starts busy period, the server provides service until there is no customer in the system. The steady-state waiting time distribution is derived in the form of a generating function. Mean waiting time is derived as a performance measure. Simulation is also performed for the purpose of verification and validation. Two simple numerical examples are shown.

• International Commerce and Information Review
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• v.14 no.1
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• pp.197-218
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• 2012

Technological competitiveness of SMEs is an important factor of the country's industrial competitiveness. And technological competitiveness of SMEs in South Korea has been a long-term congestion. Through the study, we analyzed the correlation between SMEs technical support policy and technological competitiveness. As a result, the technological competitiveness of SMEs is positively related to R&D policy of funding, taxation and infrastructure. And on the other hand, R&D support policy positively effected the technological competitiveness of subcontractors, 5~49 people of small enterprises and innovation SMEs. We suggest that technology fund should be increased by expanding policy funds, investments and loans. Also, allocation of strategic R&D resources and supportive researching staffs are needed to strengthen high-growth innovative SMEs.