• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.11c
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• pp.557-575
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• 1999

The task evaluating science and technology is becoming more important in every country trying to develop and improve overall national R&D capability in an effort to sustain national prosperity and public welfare. However, the way in which evaluation organisation is approached in each country may differ from nation to nation reflecting national R&D systems and S&T policies as well as the specific roles of scientists and policy- makers at various levels. Over the past two decades or so, Korean evaluation system has been transplanted form the West and they modified, In addition, Korea borrowed elements from the Japanese. Whether such systems have been well rooted in our specific circumstances is a critical question. In this context, it would be meaningful to diagnoses the current Korean evaluation system and also makes some suggestions for improving this system. For this purpose, this paper also attempts to approach to the theoretical aspects of evaluation as a starting-point.

• Journal of Fisheries and Marine Sciences Education
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• v.23 no.4
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• pp.626-641
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• 2011

The aims of this study are to provide future prospects of the Korean ornamental fish industry and to seek for its development direction based on analysis of its problems and its domestic and foreign situations and circumstances. The ornamental fish market has continuously grown due to increase of domestic and international demand. In this respect, the Korean ornamental fish industry has also high potential. However, the industry still has several problems such as artisanal industrial structure, a lack of investment related with R&D, poor information on the domestic and international ornamental fish industry, underdeveloped regulations and policies, low public awareness and less effort to expand the market, and a lack of regulatory and policy support. Therefore, overcoming these problems above, the Korean government has to carry out following things : establishment of institutional and industrial foundation, intensive R&D investment, exploitation of domestic and foreign markets, and systematic information gathering for ornamental fish industry.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.9-16
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• 2022

Purpose: This research investigates the differences in knowledge exchange activities and performances between startups and large companies in software industry clusters. Research design, data, and methodology: Six independent factors of human resource information, R&D and technology, marketing knowledge, government support information, strategic knowledge, and cooperation information were extracted to test the firm size effect in the relationships with two performance factors such as satisfaction with industry cluster location and satisfaction with financial performances. Data were collected through a survey of entrepreneurs, managers, and employees and tested by statistical analysis methodologies. Results: Three independent factors of human resource information, R&D and technology, and cooperation information were particularly significant in the relationship with both dependent factors. Strategic knowledge significantly affected financial performance. Knowledge exchange activities were more important in startups than in large companies for all eight factors. Conclusion: Policies for software industry clusters need a different approach for startups and large companies.

• The Journal of Society for e-Business Studies
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• v.25 no.3
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• pp.109-130
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• 2020

Recently, the importance of research and development for technological innovation is increasing. The rapid development of research and development has a number of positive effects, but at the same time there are also negative effects that accelerate crimes of information and technology leakage. In this study, a research security level measurement model was developed that can safely protect the R&D environment conducted at the organizational level in order to prepare for the increasingly serious R&D result leakage accident. First, by analyzing and synthesizing security policies related to domestic and overseas R&D, 10 research security level evaluation items (Research Security Promotion System, Research Facility and Equipment Security, Electronic Information Security, Major Research Information Security Management, Research Note Security Management, Patent/Intellectual Property Security Management, Technology Commercialization Security Management, Internal Researcher Security Management, Authorized Third Party Researcher Security Management, External Researcher Security Management) were derived through expert interviews. Next, the research security level evaluation model was designed so that the derived research security level evaluation items can be applied to the organization's research and development environment from a multidimensional perspective. Finally, the validity of the model was verified, and the level of research security was evaluated by applying a pilot target to the organizations that actually conduct R&D. The research security level evaluation model developed in this study is expected to be useful for appropriately measuring the security level of organizations and projects that are actually conducting R&D. It is believed that it will be helpful in establishing a research security system and preparing security management measures. In addition, it is expected that stable and effective results of R&D investments can be achieved by safely carrying out R&D at the project level as well as improving the security of the organization performing R&D.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.37-52
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• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.371-396
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• 2006

To see the implication of trade policy in endogeneous growth model, we introduce trade protection that takes the form of an import tariff and represents one plus the rate of protection provided to industry sector. We showed that considering goodness of fit of regression model, we can see that the empirical evidence is strongly in favor of the character of trade policies as the instrument spurring economic growth. As for import tariff, we see that 1% increase in the rate of tariff that protect domestic market causes the rate of growth to increase by 0.87%. An import tariff to final product significantly spurs product development and faster growth come as a result. But, we should note that the effects of trade policy are muted by the induced changes in the output of intermediates in an economy that is relatively unproductive in the research lab.

• KDI Journal of Economic Policy
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• v.41 no.4
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• pp.67-99
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• 2019

This paper, focusing on the renewable portfolio standard (RPS), evaluates alternative renewable energy policies. We propose a tractable equilibrium model which provides a structural representation of Korea's electricity market, including its energy settlement system and renewable energy certificate (REC) transactions. Arbitrage conditions are used to define the core value of REC prices to identify relevant competitive equilibrium conditions. The model considers R&D investments and learning effects that may affect the development of renewable energy technologies. The model is parameterized to represent the baseline scenario under the currently scheduled RPS reinforcement for a 20% share of renewable generation, and then simulated for alternative scenarios. The result shows that the reinforcement of the RPS leads to higher welfare compared to weakening it as well as repealing it, though there remains room to enhance welfare. It turns out that subsidies are welfare-inferior to the RPS due to financial burdens and that reducing nuclear power generation from the baseline yields lower welfare by worsening environmental externalities.

• Management Science and Financial Engineering
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• v.18 no.2
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• pp.5-11
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• 2012

In this paper, stochastic scheduling problems are considered when processing times and due dates follow arbitrary distributions and due dates are either common or exchangeable. For maximizing the expected number of early jobs, two policies, one, based on pairwise comparisons of the processing times, and the other, based on survivabilities, are introduced. In addition, it is shown that the former guarantees optimal solutions when the processing times and due dates are deterministic and that the latter guarantees optimal solutions when the due dates follow exponential distributions. Then a new approach, exploiting the two policies, is proposed and analyzed which turns out to give better job sequences in many situations. In fact, the new approach guarantees optimal solutions both when the processing times and due dates are deterministic and when the due dates follow exponential distributions.

• STI Policy Review
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• v.3 no.1
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• pp.117-138
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• 2012

Governments around the world place great hopes in innovation in their search for new sources of growth and for responses to grand challenges, such as climate change, new or re-emerging infectious diseases, accelerating urbanisation, ageing, food security, and availability of clean water. However they must devise their relevant support policies -- including through sponsored research within public research institutes -- taking into account that innovation processes are currently undergoing a major transformation. New innovation patterns include a broadening scope of relevant activities, a growing importance but changing nature of scientific roots of technological development, a stronger demand-pull, the emergence of new local and national STI powerhouses, and the rise of more open and globalised innovation networks. They translate into new opportunities but also constraints for policies to enhance the contribution of public research institutes to national innovation performance. The article derives the main policy implications regarding the desirable evolution of the mission, research focus, as well as the funding and steering of public research institutes, with a special reference to Korea.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.59-66
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• 2018

Data Distribution Service(DDS) provides the communications service programmers need to distribute time-critical data between embedded and/or enterprise devices or nodes. In this paper, I propose efficient methods for transmitting and receiving messages of various characteristics in real-time using DDS middleware. For high-frequency characteristic data, I describe several DDS packet types and various default and extended DDS QoS policies. In particular, the batching method is probably the best solution when considering several performance aspects. For large-capacity characteristic data. I will show a method using extended DDS QoS policies, a segmentation and reassembly method, and transmitting and receiving a large-capacity data with low priority method considering network conditions. Finally, I simulate and compare the result of performance for each methods. This results will help determine efficient methods for transmitting and receiving messages of various characteristics using DDS middleware.