• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.1-25
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• 2006

Technological innovation is being recognized as a core capability of competitive advantage for sustainable growth of a company. In this regard, lots of research activities have been conducted on technological innovation and performance at firm level. Ihis study empirically investigates those relationship with cross-sectional and time-series data according to firm-specific characteristics along industry. Patent intensity, R&D intensity, and intangible asset intensity smoothing by firm size are used as proxy measures for explanation of performance with net income per employee. As a result with 162 high-tech firms for 11 years, it was found that high performances were positively related to patent and R&D intensity. Also, firms classified into 8 categories based on firm-specific technological innovation characteristics show difference upon performances. To sum up, firms that have high patent and R&D intensity demonstrate high performance compared to other firms.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.266-272
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• 2016

In this study, we analysed the technology convergence of Internet of Things(IoT) by International Patent Classification(IPC) code analysis. 163 patent applications in Korea are the subjects of this study. We confirmed that the most representative IPC code combinations between Main and Sub categories are G06Q 50/24-G06Q 50/22(6 cases), H04L 29/02-H04L 12/28(4 cases), G06F 15/16-G06F 3/048(3 cases), G06F 15/16-G06F 9/44(3 cases), and G06Q 50/22-G06Q 50/24(3 cases). The field of Health Care business have been prepared 9 patent applications by technology convergence between 'Health Care(G06Q 50/22)' and 'Patient Record Management(G06Q 50/24)'. Finally we also concluded that the core IPC code are G06F 15/16, G06Q 50/22, G06Q 50/24, and H04L 12/28 by the technology convergence interconnections analysis of IoT patent applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1414-1419
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• 2019

Patent indicators were used to analyze the movements of local industries in order to derive blank technologies due to rapid changes in technology in the 4th Industrial Revolution and to discover promising technologies. Currently, Changwon-si is gathering a lot of technical information to develop hydrogen electric vehicle technology as a future regional flagship industry to discover it as a promising technology in the future. Collecting technical information has many problems in terms of time and cost due to classification methods, technical trends, and similar technologies. Therefore, a systematic classification of technical information and a method for easily deriving technical trends are needed. In this paper, we analyzed the blank technology and promising technology trends for the future core industries of the region through the method of measuring the growth rate of patents and the frequency of patent application through the patent indicators.

• Knowledge Management Research
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• v.24 no.1
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• pp.127-145
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• 2023

This paper analyzed a patent trend for technological domain of hydrogen fuel cell, can improve future energy and pollution problems. Patent analysis is used in establishing a technological roadmap which it can discover the current technology capability and future technological development direction. However, the previous patent analysis is qualitative analysis and simple statistical analysis. The reason why it incorrectly analysis patent does not reflect the current technology environment. The current technology environment is development through recombination of technologies. In addition to, the speed of technological development is rapidly growing. So, qualitative analysis does not satisfy the analysis requirements of the times. This paper utilized KP(Knowledge Persistence)-based main path analysis and text mining methods to reflect the current technological environment. As a result, we found core patents, main technology development, and promising technologies for technological domain of the hydrogen fuel cell.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.5
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• pp.493-498
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• 2019

This study deals with the analysis of the technology association rules between CPC codes of the Internet of Things(IoT) patent, the core of the Fourth Industrial Revolution ICT-based technology. The association rules between CPC codes were extracted using R, an open source for data mining. To this end, we analyzed 369 of the 605 patents related to the Internet of Things filed with the Patent Office until July 2019, with a complex CPC code, up to the subclass-level. As a result of the technology association rules, CPC codes with high support were [H04W ${\rightarrow}$ H04L](18.2%), [H04L ${\rightarrow}$ H04W](18.2%), [G06Q ${\rightarrow}$ H04L](17.3%), [H04L ${\rightarrow}$ G06Q](17.3%), [H04W ${\rightarrow}$ G06Q](9.8%), [G06Q ${\rightarrow}$ H04W](9.8%), [G06F ${\rightarrow}$ H04L](7.9%), [H04L ${\rightarrow}$ G06F](7.9%), [G06F ${\rightarrow}$ G06Q](6.2%), [G06Q ${\rightarrow}$ G06F](6.2%). After analyzing the technology interconnection network, the core CPC codes related to technology association rules are G06Q and H04L. The results of this study can be used to predict future patent trends.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.34-47
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• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• Korean Management Science Review
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• v.32 no.4
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• pp.1-18
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• 2015

On UX/UI fields, understanding emerging technology is important for preoccupancy of a future market. Most of emerging field searching methods are qualitative methods. However, it is suitable for large companies to adduce its milestone, not for small enterprises. Thus, this study aims at purposing the improvement of utilizability for research field searching processes. We draw core patents with modified patent citation data, apply the Girvan-Newman clustering method based on bibliographic coupling patent relationship and then, draw emerging technology research UX/UI fields. Finally, the results were validated in comparison with a report on emerging research.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.3
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• pp.453-461
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• 2020

In this study, we conducted technology monitoring to search for the current technology level and new technologies targeting the core technologies selected as "convergence technologies based on advanced ICT". This technology group, selected by the National Research Foundation(NRF) as one of the future-emerging technologies in 2018, consists of 'next-generation millimeter wave wireless communication technology', 'data-centric computing technology', and 'immersive media interface' that can be seen as important technologies in the fourth industrial revolution. It is possible to provide strategic research direction to the R&D-related stakeholders of countries or enterprises by providing information on newly emerged technologies through quantitative analysis based on patent data on these technologies. Therefore, in this study, we proposed a new technology for the convergence technologies based on advaned ICT group through patent data based on the newly emerged IPC code, and also suggested that it can suggest a strategic direction in planning R&D on related technologies.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.529-535
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• 2018

Data is explosively growing, but many companies are still using data analysis only for descriptive analysis or diagnostic analysis, and not appropriately for predictive analysis or enterprise technology strategy analysis. In this study, we analyze the structured & unstructured patent data such as IPC code, inventor, filing date and so on by using big data analysis techniques such as network analysis and TF-IDF. Through this analysis, we propose analysis process to understand the core technology and technology distribution of competitors and prove it through data analysis.

• Transactions of the Korean hydrogen and new energy society
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• v.22 no.5
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• pp.741-748
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• 2011

Hydrogen is clean and renewable, and recognized as a very promising energy resource to solve both depletion of petroleum and environmental problems caused by the use of fossil fuels. Extensive researches have been performed worldwide on the production technologies of hydrogen. In this paper, the technology trend of photo-electrochemical (PEC) hydrogen production was scrutinized based on the patent and paper analysis. Open/registered patents of US, JP, EP, and KR and SCI Journals related to the PEC hydrogen production technology between 1996~2010 were reviewed. Patents and papers were gathered by using the key-words searching method and filtered by desirable filtering criteria. The technology trend was discussed by classifying each patent and paper based on the publishing year, country, and organization, and analyzing the core patents and papers.