• The Journal of Society for e-Business Studies
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• v.25 no.3
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• pp.95-108
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• 2020

The development of 5G technology, which is a next-generation communication technology capable of processing large amounts of data in real-time and solving delays, is drawing attention. Not only in the United States but also Korea, 5G is focused on supporting R&D as a national strategic technology. The strategy for the smart factory, one of the core services of the 5G, aims to increase the flexibility of manufacturing production lines. The existing wired communications devices can be replaced into wireless ones with the ultra-low-delay and ultra-high-speed characteristics of 5G. For the efficient development of 5G technology, it is necessary to keep abreast of the status and trend. In this study, based on the collected data of 1517 Korea patents and 1928 US patents, 5G technologies trend was analyzed and key technologies were identified by network analysis and topic modeling. We expect that it will be used for decision making for policy establishment and technology strategy of related industries to provide the trends of technology development related to the introduction of 5G technology to smart factories.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.820-844
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• 2014

Various innovation theories, such as innovation system, innovation cluster, triple helix model, are different in their focus. However they all emphasize the interaction between innovation actors in order to generate, diffuse, and appropriate technological innovations successfully. This study analyzes how the interaction of innovation actors in Daedeok Innopolis has been changed since the introduction of innovation cluster policy like the designation of Daedeok Innopolis. Based on the analysis of survey data, Innopolis statistics, and patent joint-application data, we come to the conclusions that the Daedeok Innopolis has characteristics of multi-level governance structure, in which innovation cluster, i.e. Daedeok Innopolis, regional innovation system, and national innovation system directly overlap under the framework of innovation system. In addition, from the perspectives of triple helix model, we are able to verify that the inter-domain interactions between innovation actors, such as tri-lateral network, have been constantly increased in the Daedeok Innopolis. Based on our analysis, we identify some policy suggestions in order to strengthen the competitiveness of the Daedeok Innopolis as well as other innovation clusters in Korea. First, the network activities between innovation actors within innovation cluster should be strengthened based on the geographical accessibility. Second, private intermediate organizations should be established and their roles should be extended. Third, the entrepreneurial activities of universities within innovation cluster should be strengthened. In other words, the roles of universities within the Innopolis should be activated. Finally, the government should provide relevant policy supports to activate the interactions between innovation actors within innovation cluster.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6518-6526
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• 2014

The aim of this study was to obtain a complete picture of green catalytic technology developments. The data set for analysis was collected from the data from 4,172 patents, 28,726 technical papers and 548 Government R&D projects. The covering periods were 2001 to 2012 for patents and technical papers, whereas while that for the Government R&D projects were 2001 to 2011. The analysis methodologies consisted of qualitative and quantitative approaches. The patent for catalytic technology has been increasing, even though it was developed some time ago. The increase in patents for catalytic technology has been outstanding since 2008. As a result of the analysis of patents, fuel cell comprised 41.9%, followed by coal liquefaction 23.6%. The analysis of technical papers ranked fuel cell ranked 1st, followed by hydrogen. Fuel cells, hydrogen and coal liquefaction outperformed in green catalytic technological developments. As a result of this study, it was apparently concluded that the speed for the green economy from the fossil fuel-based economy has accelerated. Therefore it will be necessary to prepare for the early realization of a green energy-based economy on a variety of aspects as soon as possible.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.167-171
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• 2007

Application areas of Knowledge Discovery in Database (KDD) have been expanded into many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has recently fully utilized techniques or methods of KDD. Various systems have been developed to support works of analyzing large-scale R&D related databases such as patent DB or bibliographic DB by a few researchers or institutions. But extant systems have some problems for korean users to use. Their prices is not cheap, korean language process not available, and user's demands not reflected. To solve these problems, Korea Institute of Science and Technology Information (KISTI) developed stand-alone type information analysis system named as KnowledgeMatrix. KnowledgeMatrix system offer various functions to analyze retrieved data set from databases. Knowledge Matrix main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. KnowledgeMatrix show better performances and offer more various functions than extant systems.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.66-85
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• 2020

The purpose of this study is to explain and predict trends the AI development process based on AI technology patents (total) and AI reporting frames in major newspapers. To that end, a summary of South Korean and U.S. technology patents filed over the past nine years and the AI (Artificial Intelligence) news text of major domestic newspapers were analyzed. In this study, Topic Modeling and Time Series Return Analysis using Big Data were used, and additional network agenda correlation and regression analysis techniques were used. First, the results of this study were confirmed in the order of artificial intelligence and algorithm 5G (hot AI technology) in the AI technical patent summary, and in the news report, AI industrial application and data analysis market application were confirmed in the order, indicating the trend of reporting on AI's social culture. Second, as a result of the time series regression analysis, the social and cultural use of AI and the start of industrial application were derived from the rising trend topics. The downward trend was centered on system and hardware technology. Third, QAP analysis using correlation and regression relationship showed a high correlation between AI technology patents and news reporting frames. Through this, AI technology patents and news reporting frames have tended to be socially constructed by the determinants of media discourse in AI development.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.98-125
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• 2015

This study will show the determinants of research productivity by fields in science and engineering. However, we present the differences between fields by personal attributes, research resources, and research productivities. The data includes 1,383 researchers who participated in the BK21 PLUS program during 2010-2012. The fields are physics, chemistry, biology, mechanics, electricity and electronics and chemical engineering. As for research productivity, 3 indices are used such as the number of papers publicized, patents and combination of papers and patents. As for explanation factors, two kinds of variables are used. The personal factors include sex, age, academic rank, location of affiliation, and country of PhD acquisition, and the resource factors are the number of graduate students, 3 types of research funds such as government fund, industrial fund and overseas fund. This study is unique in several aspects; Dealing with 3 productivity indices, and using massive official data, 6 different fields, and determinants of research productivity. The results are as follows; 1) there is a big difference in determinants by fields. 2) No variables affect the research productivity of all the fields at the same time. 3) In science, the number of determinants are quite low than engineering. 4) The ratio between papers and patents are different by fields. 5) The correlations between paper and patent by fields are different; no relationship in the field of physics and chemistry and positive relationship in the other 4 fields.

• Journal of Distribution Science
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• v.13 no.6
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• pp.71-78
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• 2015

Purpose - This study attempts to analyze whether or not there are characteristics among the top management of companies that promote corporate performance at venture companies. It investigates the characteristics of the human and social capital that are inherent in top management at a venture company and conducts an empirical analysis of hypotheses examining if these characteristics will affect utilization of the governmental R&D support system as well as affect the firm's initial success. Research design, data, and methodology - This study conducted theoretical and empirical research together to accomplish the goal of the study. The pilot study researched human capital and social capital as the independent variables; the governmental R&D support system as the parameter; and, the initial success as the dependent variable. The empirical study carried out research on the model, establishment of hypotheses, and the statistical treatment. A survey was conducted targeting top management of high-tech venture companies in Daedeok Innopolis; 500 questionnaires were distributed; and, 222 were collected. Results - The human and social capital inherent in top management at venture companies in the early stages of their existence become good evaluation data for those who are invested in similar resources. If top management includes strong human and social capital, access to external resources will be easier; these will have a positive influence on the selection of overnmental support systems; and, this proper support will also have a positive influence on the initial success of the venture company. The results revealed the following. First, it was found that when the educational level and functional background, (the top management human capital), are the output function, top management human capital had a significant influence on selection of governmental R&D support funds. Second, it was found that the internal social capital and external social capital, (the top management social capital), had a significant influence on selection of governmental R&D support tasks. Third, it was found that selection of the governmental R&D support tasks at the start of the venture company had a positive influence on the corporate financial performance such as sales, business profits, and the increase in workers; and, had a significant influence on nonfinancial performance such as market share, competitive position, product competitiveness, and the future product development. Conclusions - Selection of the governmental R&D support system is not recognized as part of the direct sales of a venture company in its early stages, but as it can reduce costs for technical development and helps significantly in creating test products and mass production, it has a positive influence on the company's financial performance and nonfinancial performance as a result. Therefore, companies should take great efforts to frequently be selected as a candidate in the governmental R&D support system, as it can help facilitate R&D that requires extensive funds. As a result, companies can expect effects such as job creation and patent applications and they can advance future product sales.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.31-40
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• 2017

In this paper, we compared the efficiencies of national R&D investments between NT (Nanotechnology) areas in terms of papers, patents, and commercializations, and found ways to improve the efficiencies of national R&D investments for each NT area. This is in response to huge R&D investments government has made recently in NT areas. Here, we collected data on investments, papers, patents, and commercializations for the R&D projects in NT areas through National Science & Technology Information Service. Based on the data, we analyzed the investment and performances (papers, patents, and commercializations) for each NT area, calculated the efficiency for each NT area, and compared the efficiencies between NT areas. Next, using cluster analysis, we identified several NT areas with similar characteristics in terms of paper efficiency, patent efficiency and commercialization efficiency. Finally, we derived implications for the efficiency enhancement for each grouping. The cluster analysis showed that there could be two groups, one being low in terms of technological outcome (papers and patents) efficiencies and high in terms of commercialization efficiencies, while the other being high in terms of technological outcome (papers and patents) efficiencies and low in terms of commercialization efficiencies. Therefore, the strategy for one group calls for support for technology transfer or technology introduction from other R&D performers and grant of guidance for improving R&D performers' commercialization ability to other R&D performers while the strategy for the other group calls for R&D support for transfer of technology to other R&D performers, activation of technology transfer and support for commercialization of R&D performers.

• Journal of Korean Clinical Nursing Research
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• v.19 no.3
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• pp.432-442
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• 2013

Purpose: The purpose of this study was to describe restraint use in care of patients with psychiatric disorders in an attempt to avoid unnecessary restraint use and provide information for developing standards regarding restraint use as a therapeutic maneuver. Methods: For this descriptive study, discharge records from N National Mental Hospital in the year 2009 were reviewed by trained nurses during Dec. 24, 2010 and Mar. 31, 2011. There were 596 restrains applied on 232 of 1,322 discharges. Data collected include general characteristic of patients, the frequency of restraint use, time since admission when restraint was applied, time of the day when restraint was applied, duration of restraint application, place of occurrence, reasons for restraint use, and degree of damage to the patent. Work experience of nurses who applied restraints, number of workforce at the time of restraint, and season of the year was also identified. Descriptive statistics, Chi-square test, t-test, ANOVA, $Scheff{\grave{e}}$ and Jonckheere-Terpstra were applied using SPSS 14.0 to analyze the data. Results: There were 596 restraint uses among 232 patients. Restraints were applied most frequently on males in their 40s, patients diagnosed with schizophrenia, and patients repeating admissions more than 6 times. Restraints were frequently applied within first week following admission, between 16:00 and 20:00, and the average duration of restraint was 5 hours. There were significant differences according to diagnoses of patients in the season restraint occured, time, place of occurrence, reason for restraint, and duration of restraint. Patients with alcoholism received longer restraint application. Conclusion: In order to avoid unnecessary restraint use in patients with psychiatric disorders, nurses and other health care team members need to acknowledge a group of patients such as patients with schizophrenia and alcoholism who relatively frequently restrained or receiving longer restraint. Reasonable and careful decision need to be made when applying restraint in the care of patients with alcohol problem.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1161-1170
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• 2014

In global competition like today, intellectual property of novel areas such as traditional knowledge, traditional creation, hereditary resource, etc. are perceived as important resources. Therefore making solid competitive power in overall knowledge resources like cultural contents, brand, design etc. in nation is a pressing question. Accordingly in this study, to prepare for intellectual property rights dispute and advantage-sharing problem that would be variously derived from the Nagoya Protocol which will come into force after 2014, this research selected 200 knowledge of middle region in Korea from 2,047 literal and 931 oral knowledge using preconditioning process. The order of priority of top 50 of them was ranked by a quantitative research method, the Delphi survey. Among them, 30 was literal traditional knowledge and 20 was oral traditional knowledge. Result of this research could be used later as basic material for qualitative researches like the focus group interviewing. Furthermore in this paper is meaningful; the selected traditional knowledge can contribute remarkably to traditional biologic knowledge resource in nation which can be acknowledged in international society, announcing validity (hold precedence for patent) later on.