• Economic Analysis
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• v.25 no.4
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• pp.25-57
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• 2019

This paper studies localization effects of knowledge spillovers in Korea using U.S. patents granted over the period 1996-2015. The "sample-matching" analysis initiated by Jaffe, Trajtenberg, and Henderson (1993) is adopted. We do not find evidence of positive localization effects in Korea. In particular, controlling for the existing geographic distribution of knowledge production, the frequency of domestic citations of Korean patents is no more than the citation frequency from overseas, and the difference is decreasing within the sample period. We also examine localization effects across regions and industries, and compare Korea with Taiwan and Japan.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.1
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• pp.191-207
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• 2017

This paper employs entitymetrics analysis on the research works of Dong-ju Yun. He was a Korean poet who was studied by many researchers on his works, religion and life. We collected 1,076 papers about Dong-ju Yun and conducted various approaches including co-author citation analysis, topic modeling analysis to identify the topic trend in the study of Dong-ju Yun. Also we extracted entities like person's name and literature's title from abstract to examine the relationship among them. The result of this paper enables us to objectively identify the topic trend and infer implicit relationships between key concept associated with Dong-ju Yun based on text data. Moreover, we observed sub-research topics such as life, poem, aesthetic existence, comparative literature, literary translation, and religious beliefs. This paper shows how entitymetrics can be utilized to study intellectual structures in the humanities.

• Journal of Distribution Science
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• v.14 no.4
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• pp.5-11
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• 2016

Purpose - The Education Ministry has plans to select top 10 percent academic journals among the domestic registration journals in NRF(National Research Foundation of Korea), and designate them as outstanding academic journals. To reflect this trend, KODISA has set its sights on paper publication rate and citation index with pushing forward globalism. First, this study will arrange the process of globalism and the current state of paper submission, and propose the direction of improvement in academic journals through understanding the characteristics of each major field. Research design, data, and methodology - KODISA has preceeded in examining and publishing research papers related to distribution field through indirectly or stimulating academic advancement. KODISA covers the whole fields in social science as well as in business administration and economics that associated with distribution field not limiting only within the range of distribution field. That is, the new subject that contributes to the progress in distribution field with original research can be a priority criteria in KODISA journal publication. Results - The major fields in papers published in KODISA can be categorized broadly as distribution field with economic and business administration point of view. Therefore, the distribution field with economic point of view includes the issues such as regulations, system, industry, market environment, distribution system, trade, and macroeconomics, etc. The business administration point of view in distribution includes distribution strategy, distribution organization, and distribution channel from the perspectives of the firm, etc. Conclusions - The aim of KODISA in 2020 is to be a global academic journal as SCI level of each journal in KODISA, JDS(Registration journal), IJIDB(Registration candidate), EAJBM(Registration candidate), JAFEB(Cabell's Registration journal). The KODISA journals have already settled as the largest academic society and journals of Korea in 2016 currently from humanities and social sciences area by the most gross in publication circulation, volumes, and types. Hereafter, KODISA will focus on the improvement for the objective indicators such as Impact Factor and Centrality index as qualitative growth as well as quantitative expansion. By doing so, KODISA will be a forum for developmental academic debate with attracting the world's greatest scholars' papers. Furthermore, they will be recognized journals and grow as the first-rate academic journals inside and outside of Korea.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.29-46
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• 2020

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.

• The Korea Journal of Herbology
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• v.28 no.5
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• pp.29-31
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• 2013

Objectives : 'Reconsideration about Nomenclature of Herbs Listed in the Korean Pharmacopoeia' was published by Doh and Lee with absolute misconception of nomenclature. A critical review of Doh and Lee's paper is given, to correct the confused the concept of nomenclature and to provide proper scientific name for taxa which are discussed. Methods : This paper discusses the proper usage, as mandated by the International Code of Nomenclature. Adherence to the rules described in this paper should reduce the present confusion in the nomenclature of scientific names listed in the Korean Pharmacopoeia. Results : Although Doh and Lee proposed four categories to correct the scientific names of the Korean Pharmacopoeia using available botanical databases, they failed to show how nomenclatural concepts are applicable due to misconception of legitimacy and the confusion about synonym. From a nomenclatural perspective, 'accepted name' or 'recommended name' is a subjective term which used to be employed for convenience in a certain databases or working group without nomenclatural meaning. Doh and Lee also pointed out the standardization of author citation. However, they missed the importance of author citation error such as basionym or validating authors. Conclusions : Doh and Lee were not able to solve nomenclatural problems of the Korea Pharmacopoeia due to lack of clarity on the nomenclature code. We strongly recommend that KFDA has to commence extensive nomenclatural review for the next revision of Korea Pharmacopoeia.

• Proceedings of the Korean Society for Information Management Conference
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• 2011.08a
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• pp.29-34
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• 2011

최근 인용 네트워크 분석을 통해서 단일 문헌의 인용 영향력을 측정하려는 시도가 다양하게 전개되고 있다. 널리 알려진 PageRank를 보완하려는 일부 시도와 함께 h-index를 단일 문헌의 인용 영향력 측정에 적용한 단일문헌 h-index도 제안되었다. 이 연구에서는 Web of Science에서 검색한 계량정보학 분야 문헌집합을 대상으로 여러 측정 방식의 특징을 비교해본 후, 새로운 인용지수 2종을 제안하였다. 제안한 인용지수는 PageRank처럼 전역 네트워크 분석 방식인 지수 1종과 h-index처럼 지역 네트워크 분석 방식인 지수 1종으로서 상황에 따라 선택하여 사용할 수 있다.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.115-151
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• 2010

Recently Korean universities show very rapid increases in both patents and R&D (research and development) expenditures. During the period from 1970 to 2008, university R&D spending has on the average increased 15.3% annually. Along with steady increases in R&D spending, university's research outputs have also continuously increased. In 1990 Korea as a total published 1,613 SCI-level scientific papers and Korean universities applied 27 patents to Korea patent office. In 2008, Korea published more that 35,000 SCI papers and Korean universities applied about 7,300 patents. The growth of scientific articles had begun from the early 1990s whereas the growth of patent has ignited entering the 2000s. The paper tried to investigate university research through the window of patent. Patents lie between invention and innovation and represent the potential value of invention which will be realized at the marketplace. Since Korean patents do not contain citation information, the paper used US patents-NBER patent database-as the main data. The key empirical question is whether Korean university patents granted from USPTO are characteristically different from other Korean patents granted from USPTO. Previous studies on US and Europe show that corporate patents are more stylized in appropriablity of invention, whereas university patents basicness. In case of Korea, the paper confirmed the appropriability characteristic of corporate patents; but the Korean unversity patents are not distinguishable in terms of basicness. The paper estimated the citation frequency function-an empirical model which was firstly developed by Caballero and Jaffe (1993) and later articulated by Jaffe and Trajtenberg (1996, 2002). The model is specified mainly composed of two interacting parts-diffusion effect and obsolescence effect of new ideas or innovations. Estimation results show that differences in forward citations between university and corporate patents are not statistically significant, after controlling self-citation. Since forward citations represent the quality of patents, this estimation result implies that there are no statistically significant quality differences between university and corporate patents. Prior research results, based on the same model of citation frequency function, about US and some European cases show that, in terms of forward citations, university patents are generally superior to corporate patents -for the case of US- or, the former not inferior to the latter-for the case of most of Europe. It is argued that some important and significant policy changes caused the rapid rise of university patents in Korea. Policy changes include the revision of technology transfer act allowing the ownership of publicly-funded research results to researchers and the changes in faculty/professor evaluation which gives more credit to the number of patents. These policy changes have triggered the rapid growth of the number of university patents. The results of the empirical analysis in this paper indicated that Korea now needs to make further efforts to enhance the quality of university patents, not just to produce more numbers of patents.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.2
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• pp.117-132
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• 2017

This paper aims to explore the impacts of various authorship-related factors on future citations of conference articles in 'Information Science' discipline. A large body of bibliometric studies has suggested that the impacts of various authorship-related factors on the future citations vary by the discipline and there is no well-grounded factor that is unanimously significant across all academic fields. That is, it is necessary to separately assess the impact of authorship-related factors on 'Information Science' articles. Moreover, while a number of bibliometric studies have focused on journal articles, the exploration of conference articles has been significantly fewer. Therefore, this study, which is based on 1,957 conference articles in 'Information Science' field, examined several factors about authors and the contributions of the factors to the future citation. The sources of citation rates of conference articles were Google Scholar and Scopus. As the results, among eight factors considered in this paper, the first authors' publishing tenure and job title and the average number of publications of other authors significantly contributed to the changes of citations. However, the number of authors, the number of affiliated institues, the number of the first authors' publications and the average publishing tenure of the other authors made little contributions on citations.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.706-710
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• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is lack of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation. After gathering knowledge flow data between science and technology through mapping citing patent and cited paper, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Basd on 2 types of knowledge flow data, it propose method to examine knowledge flow from science to industry by applying overlap function is a network link weight function.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.373-397
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• 2019

Recent disasters are a complex and growing trend. In order to effectively prepare for and respond to disasters that occur without notice, it is very important to use scientific information related to disaster and safety in addition to the standardized disaster safety information that is used. In this paper, we searched and selected major journals in the field of disaster & safety and conducted various network analysis studies using the classification scheme for development of integrated metadata for disaster & safety information developed through Disaster & Safety Information Sharing Platform R&D project as well as KSCD. Also, we have constructed and analyzed citation network, co-authorship network and keyword network through data identification and preprocessing of research paper contents. As a result of this study, based on the network constructed by information analysis unit, the network structure between core domestic and foreign journals, major research institutes, core keywords and individual information by disaster & safety type was identified in detail, and the analysis results were presented on a case-by-case basis.