• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.156-169
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• 2016

The objective of this study is to investigate patent trends of Daegu city which tries to introduce environment friendly energy and to develop new technology or new industry sprung from technology convergence on smart decentralized energy technology and other technologies. After applying network analysis to corresponding groups of technology or industry convergence, strategy for future energy convergence industry is provided. Patent data applied in Daegu city area are used to obtain research goal. The technology which contains several IPC codes (IPC Co-occurrence) is considered as a convergence technology. Path finder network analysis is used for visualizing and grouping by using IPC codes. The analysis results categorized 13 groups in energy convergence industry and reclassified them into 3 cluster groups (Smart Energy Product Production Technology Group, Smart Energy Convergence Supply Technology Group, Smart Energy Indirect Application Technology Group) considering the technical characteristics and policy direction. Also, energy industry has evolved rapidly by technological convergence with other industries. Especially, it has been converged with IT industry, and there is a trend that energy industry will be converged with service industry and manufacturing industry such as textile, automobile parts, mechanics, and logistics by employing infrastructure as well as network. Based on the research results on core patent technology, convergence technology and inter-industry analysis, the direction of core technology research and development as well as evolution on decentralized energy industry is identified. By using research design and methodology in this study, the trend of convergence technology is investigated based on objective data (patent data). Above all, we can easily confirm the core technology in the local industry by analyzing the industrial competitiveness in the macro level. Based on this, we can identify convergence industry and technology by performing the technological convergence analysis in the micro level.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.49-72
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• 2015

The patent war between Apple and Samsung which started in the year of 2011 presents us a good example of a multifaceted technological strategies, frequently found in high-tech industries. The patent litigation represents a competitive structure, while the patent citation of counterpart's technology demonstrates the underlying cooperative relationship between two leading firms in smart-phone industry. However, the previous studies have mostly concentrated on one aspect in inter-firm relationship, providing only a partial aspect of technological management issues often faced by high-tech companies today. We also have a limited understanding on the technological trajectory or how the core technology evolve over time in high-tech industry where technological knowledge is the main source of competitive advantage. To overcome the drawbacks in the previous studies, we examine the coopetitive nature of inter-organizational relationship with simultaneous perspectives of competition and cooperation in smart-phone industry. To this end, this study analyzes patent-litigation for revealing the competitive nature and patent-citation network for the cooperative nature by utilizing patent citation data. By doing so, we identify the specific patterns of technological knowledge flows and the direction of technological strategy and the relevant policy under the circumstance of coopetition ecosystem.

• Fashion & Textile Research Journal
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• v.9 no.3
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• pp.295-302
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• 2007

Phase change material-related patents filed at Korea Institute of Patent Information(KIPI) and United States Patent and Trademark Office(USPTO) were analyzed for understanding the PCM's technological level of Korea and providing the information for establishing the research development policy concerned with high technology fibers. Patent data from 1980 to 2005 collected from KIPI and USPTO internet sites were examined using the number of patents and share of assignees in patents. The contents of patent were classified according to IPC(International Patent Classification) and assignees were divided into individual and firm/public body. The results of comparing total number of patents in USA with that in Korea showed USA had as 2.3 times as Korea had. The number of patents of USA had increased steadily since 1980 whereas that of Korea sharply since 2001. The number of patents of Korea from 2001 to 2005 was more than that of USA. USA was specialized in fundamental technology and Korea was specialized in application area with PCM. Assignees who had the most patents were firms and the next were individuals. Assignees who applied for several patents were more in USA than in Korea and patent application numbers per the assignees were higher for USA.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.4
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• pp.1-11
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• 2006

A citation-based method of estimating the life span of a patented technology is proposed In this study. The suggested framework Includes : (1) estimation of citation frequency of an individual patent within a technology group. (2) calculation of a mutual citation frequency between citing patent and cited patents, (3) calculation of the period for cited patents from the year of registration to the year of being cited most recently and (4) description for technology group using descriptive statistics such as mean, median, mode, etc. The framework suggested in this study was applied to the US patent data between 1976 and 2004 for 5 communications areas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5227-5237
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• 2011

Technology roadmap is a powerful tool that considers relationships of technology, product and market and referred as a supporting technology strategy and planning. There are numerous studies that have attempted to develop technology roadmap and case studies on specific technology areas. However, a number of studies have been dependant on brainstorming and discussion of expert group, delphi technique as qualitative analysis rather than systemic and quantitative analysis. To overcome the limitation, patent analysis considered as quite quantitative analysis is employed in this paper. Therefore, this paper proposes new technology roadmapping based on patent citation network considering technology life cycle and suggests planning for undeveloped technology but considered as promising. At first, patent data and citation information are collected and patent citation network is developed on the basis of collected patent information. Secondly, we investigate a stage of technology in the life cycle by considering patent application year and the technology life cycle, and duration of technology development is estimated. In addition, subsequent technologies are grouped as nodes of a super-level technology to show the evolution of the technology for the period. Finally, a technology roadmap is drawn by linking these technology nodes in a technology layer and estimating the duration of development time. Based on technology roadmap, technology planning is conducted to identify undeveloped technology through text mining and this paper suggests characteristics of technology that needs to be developed in the future. In order to illustrate the process of the proposed approach, technology for hydrogen storage is selected in this paper.

• Industrial Engineering and Management Systems
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• v.14 no.1
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• pp.58-72
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• 2015

A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.78-88
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• 2023

The increasing number of technology transfers from public research institutes in Korea has led to a growing demand for patent recommendation platforms for SMEs. This is because selecting the right technology for commercialization is a critical factor in business success. This study developed a patent recommendation system that uses technology transfer data from the past 10 years to recommend patents that are suitable for SMEs. The system was developed in three stages. First, an item-based collaborative filtering system was developed to recommend patents based on the similarities between the patents that SMEs have previously transferred. Next, a content-based recommendation system based on TF-IDF was developed to analyze patent names and recommend patents with high similarity. Finally, a hybrid system was developed that combines the strengths of both recommendation systems. The experimental results showed that the hybrid system was able to recommend patents that were both similar and relevant to the SMEs' interests. This suggests that the system can be a valuable tool for SMEs that are looking to acquire new technologies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.15-31
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• 2023

In this study, we propose a novel approach to analyze big data related to patents in the field of smart factories, utilizing the Latent Dirichlet Allocation (LDA) topic modeling method and the generative artificial intelligence technology, ChatGPT. Our method includes extracting valuable insights from a large data-set of associated patents using LDA to identify latent topics and their corresponding patent documents. Additionally, we validate the suitability of the topics generated using generative AI technology and review the results with domain experts. We also employ the powerful big data analysis tool, KNIME, to preprocess and visualize the patent data, facilitating a better understanding of the global patent landscape and enabling a comparative analysis with the domestic patent environment. In order to explore quantitative and qualitative comparative advantages at this juncture, we have selected six indicators for conducting a quantitative analysis. Consequently, our approach allows us to explore the distinctive characteristics and investment directions of individual countries in the context of research and development and commercialization, based on a global-scale patent analysis in the field of smart factories. We anticipate that our findings, based on the analysis of global patent data in the field of smart factories, will serve as vital guidance for determining individual countries' directions in research and development investment. Furthermore, we propose a novel utilization of GhatGPT as a tool for validating the suitability of selected topics for policy makers who must choose topics across various scientific and technological domains.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.1-14
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• 2016

According to the growing importance of science and technology policy, investment in research and development (R&D) has been increased. In this context, a patent as one of outcome of firm's systematic R&D investment is the way to hold a dominant position in companies' technology competitiveness and also to protect technology right. This study attempts to find the effects of input resources and intellectual property production activity on company value. It conducted empirical analysis based on 238 KOSDAQ-listed and medium-sized firms. Using the previous research, this study configurated research variables about activity of patent production, company value, and input of resources. Through these variables, it aims to know the effect of input of resources and activity of patent production on company value. First, the result of regression analysis shows that R&D cost has the positive effect on a patent production and sales promotion cost positively affects on the registration of the trademark. Second, the output of regression analysis indicates that a patent has the positive effect on company value but a trademark has not. With regard to the input of resources, R&D cost has the influence on company value but sales promotion cost has not. This study attempts to find the effectiveness of company's intellectual property registration on its value and suggests a way that the systematic R&D investment contributes the growth of company value.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.143-164
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• 2006

This paper considers the technology spillover effects on industries by analyzing patents. Registered patents in the United States from Korea in 1990 and 1995 are compared by quantity of registrations as well as patent analysis indices, namely, cites per patent, technology cycle time and science linkage. Several regression models between these indices as predictor variables and the value added of an industry as a dependent variable were investigated. The results show that the value added of an industry positively correlates to the number of patent registrations and cites per patent.