• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.95-108
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• 2020

A coronavirus disease 2019 (COVID-19) is a new global health problem. The Korean government is pursuing to gain its future growth engines and promoting short-term economic stimulation by investing in research and development (R&D) to improve national technological capabilities that can respond to the spread of the global epidemic. It is required to need knowledge information to establish the direction of future national planning thru understanding the status quo of R&D investment in terms of research fields. Four corona-related R&D fields were drawn on the basis of analyzing major nations' R&D funding data (USA, EU etc.) and two differentiated R&D fields were added through comparative analysis with domestic R&D projects. Domestic and foreign research organization-the research title-the scale of the research funding-the project period were presented in terms of the suggested 6(7 details) R&D research fields. Meanwhile R&D projects that have featured in the convergence of interdisciplinary were provided. This study proved the excellence of coronavirus detection and on-site diagnostic capabilities that are currently globally highlighted by deriving differentiated research fields from the domestic competitive advantage fields related to corona viruses and also suggested intensive investment research fields.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.3
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• pp.117-123
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• 2018

Continued R&D investment by the government and corporate support played a major role as the background of the rapid growth of the Republic of Korea. In 2017 of the Republic of Korea, the R&D support size of the government accounted for 19.7 trillion won, accounting for 4.7% of the government budget. Government R&D budgets are increasing by 2.5% each year. In this paper, we analyzed the outcomes of the Busan regional company support project conducted in the 2 years. For the time series analysis, we gathered company support amount by year, sales after company support, employment. We used IBM SPSS(Statistical Package for the Social Sciences) statistics 18 for correlation analysis.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.47-56
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• 2016

This study is on the actual analysis of R&D investment effect through DEA in terms of efficiency resulted from forestry sector climate change response R&D project. Namely, it is clarifying the mechanism of the scientific, technological, social performance result and output, depending on research development cost, employment size as same input. Also, it is in-depth analysis on which performance operates more efficiently in any detailed business. With the study result, we seek political implications to enhance investment effect and core element to consider R&D business project in the future.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.203-212
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• 2017

Under uncertain environments it is necessary for world-class technological capacity to obtain for making the important role in a national development and industrial infrastructure. For strengthening technological capacity based on R&D excellence we have an exploratory study on the cases of excellent technology and excellent organization of public R&D institutes. What consistently revealed in the whole cases of public R&D institutes is to obtain the technological capacity in the world-class level and we could verify it in the cases of global leading technology, flagship project, world innovative technology, world class laboratory, global top group and so on. For enhancing the technological capacity of R&D objects we could consider prospecting sustainedly for the technological capacity of the organizations in order to appear the excellent technological performance, industrializing it as a R&D program or a new growth engine, and forming the organizational consensus of recognizing its technology or organization they selected as the world-class level.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.1-9
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• 2022

As the need for improvement of transparency and fairness in the selection of national R&D projects has been continuously raised, we analyzed the impact on the evaluation selection results by evaluation indexes for The land transportation technology commercialization support project and searched for ways to improve indexes using the analysis results. As for the research data, it were applied as selection results of new R&D projects and evaluation indexes in two fields(SME innovation and start-up) in 2021. Logistic regression analysis is used for the influence of each evaluation indexes on the evaluation result, and for the regression model, evaluation indexes with low influence are removed in advance through artificial neural network multiple perceptron analysis to improve the reliability of the analysis results. As a result of the analysis, in the field of SME innovation, the influence of the evaluation index on the workforce planning was the lowest and the influence of the appropriateness of commercialization promotion plan was the highest. In the start-up field, the influence of the evaluation indexes for technology development suitability, marketability, and suitability for carrying out the project were estimated to be similar to each other, and the influence of the technology evaluation index was found to be the lowest. The analysis results of this thesis suggest the need for continuous improvement of selection and evaluation indexes, and by using the analysis results to select a fair R&D institution according to the selection of appropriate indexes, it will be possible to contribute to deriving excellent research results and fostering excellent companies in the field of land transportation.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.93-100
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• 2022

This study aimed to understand the current status of science and engineering university(SEU) R&D operations depending on the research project characteristics(e.g., stages and characteristics), then provide implications for future university R&D support systems and related policies. Hence, an online survey targeting SEU R&D recipients was conducted between October 4th to November 5th, 2021. Analyzing 445 valid data using the Apriori algorithm, 16 association rules for R&D operation according to the research project characteristics show that regardless of research characteristics, SEU's R&D projects, particularly in applied research, were funded or operated under the leadership of government or public institutions. For basic research, individual researchers had a higher level of autonomy in determining research topics; yet, they had a short duration (3 years) and a unit of evaluation period of more than 3 years. These findings can be empirical evidence for revealing the relationship among various variables in operating SEUs' R&D.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.9-18
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• 2020

The research objectives investigates main research topics and trends in the information and communication technology(ICT) field, Korea using LDA(Latent Dirichlet Allocation), one of the topic modeling techniques. The experimental dataset of ICT research and development(R&D) project of 5,200 was acquired through matching with the EZone system of IITP after downloading R&D project dataset from NTIS(National Science and Technology Information Service) during recent five years. Consequently, our finding was that the majority research topics were found as intelligent information technologies such as AI, big data, and IoT, and the main research trends was hyper realistic media. Finally, it is expected that the research results of topic modeling on the national R&D foundation dataset become the powerful information about establishment of planning and strategy of future's research and development in the ICT field.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.81-87
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• 2014

In this study, along with the expansion of the national R&D projects, by analyzing the case of K research center of Land and Transport R&D projects, and was evaluated in the value of technology. The evaluation of the value of technology, were analyzed using the SMART3 targeting patents K research center indicate best technical aspects have registered. Analysis technical value of research center K, was found to have maintained the same level as the average of about of Land and Transport R&D projects. The significance of this study is that it was approached by more concrete approach of valuation of technology principle of national R&D projects. We expect that the study of evaluation method and diverse objective to achieve the intended purpose of the national R&D projects are carried out more.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.203-216
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• 2010

This study corresponds to an exploratory survey that identifies and organizes important decision factors for establishing R&D strategic portfolio in the application of digitalized Korean human-dataset. In the case of countries that have performed the above, the digitalized human-dataset and its visualization application development research are regarded as strategic R&D projects selected and supervised in national level. To achieve the goal of this study, we organize a professional group that reviews articles, suggests research topics, considers alternatives and answers questionnaires. With this study, we draw and refine the detailed factors; these are reflected during a strategic planning phase that includes R&D vision setting, SWOT analysis and strategy development, research area and project selection. In addition to this contribution for supporting the strategic planning, the study also shows the detailed research area's definition/scope and their priorities in terms of importance and urgency. This addition will act as a guideline for investigating further research and as a framework for assessing the current status of research investment.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.171-180
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• 2014

This study is about effects of government R&D subsidies program participation factor for SMEs R&D performances. Currently, Government R&D subsidies program has been operating in various forms, and each company subsidies, facilities, equipment, personnel and training have been supported. Each of the companies is also involved with various factor of support to participate in the subsides program. Therefore, This study verifies the hypotheses that after government R&D subsidies program of project implementation, various participation factor of companies have an effect positive impact on business management skills of administrative performance. Also, This study verifies the hypothesis of an influence on the R&D investment and the technological capability of technical performance. Through such a analysis results will help to carry out guide for strategic R&D performance management of government R&D subsidies program participation companies.