• Title/Summary/Keyword: Patent Data Analysis

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Patent Analysis of Information Security Technology for Network-Centric Warfare (네트워크 중심전을 위한 정보보호기술의 특허동향 분석)

  • Kim, Do-Hoe;Park, Sang-Sung;Shin, Young-Geun;Jang, Dong-Sik
    • The Journal of the Korea Contents Association
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    • v.7 no.12
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    • pp.355-364
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    • 2007
  • The paradigm of war is basically changed by development of information and communication technologies. One of the paradigms in future war is NCW(Network-Centric Warfare) that is purposed of achievement in information-superiority. In this future war, the level of menace and fragility is rapidly increased in information-security according to the massive information and complex system. Therefore the Korean army is developing the information-security technologies for NCW. But, until now patent analysis concerning NCW has not performed. In this paper, we suggest a meaningful data for efficient R&D through patent analysis of information-security technologies on NCW.

NFT(Non-Fungible Token) Patent Trend Analysis using Topic Modeling

  • Sin-Nyum Choi;Woong Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.41-48
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    • 2023
  • In this paper, we propose an analysis of recent trends in the NFT (Non-Fungible Token) industry using topic modeling techniques, focusing on their universal application across various industrial fields. For this study, patent data was utilized to understand industry trends. We collected data on 371 domestic and 454 international NFT-related patents registered in the patent information search service KIPRIS from 2017, when the first NFT standard was introduced, to October 2023. In the preprocessing stage, stopwords and lemmas were removed, and only noun words were extracted. For the analysis, the top 50 words by frequency were listed, and their corresponding TF-IDF values were examined to derive key keywords of the industry trends. Next, Using the LDA algorithm, we identified four major latent topics within the patent data, both domestically and internationally. We analyzed these topics and presented our findings on NFT industry trends, underpinned by real-world industry cases. While previous review presented trends from an academic perspective using paper data, this study is significant as it provides practical trend information based on data rooted in field practice. It is expected to be a useful reference for professionals in the NFT industry for understanding market conditions and generating new items.

An Empirical Study on the Effectiveness of Marketing Activities for Ethical Drugs (ETC) (전문의약품 마케팅활동의 효과 측정에 관한 실증 연구)

  • Seung-Yeoun Noh;Keun-Woo Kim;Nam-Sik Chang
    • Asia-Pacific Journal of Business
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    • v.14 no.4
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    • pp.289-303
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    • 2023
  • Purpose - The purpose of this study is to investigate the types and forms of various marketing activities actually used in pharmaceutical companies and to empirically analyze the impact of these marketing activities on sales. Design/methodology/approach - This study categorize five years' worth of marketing activity data from a foreign pharmaceutical company 'A' which operates in South Korea into five categories. Multiple regression analysis and interaction effects are employed for data analysis. Findings - First, CRM calls, Detail calls, GP, and Web events have a positive impact on sales, but SoV does not show significant differences. Second, in the comparison between HQ1 and HQ2 based on patent ownership, Detail calls and Web events had a stronger impact on sales in HQ2, where the patent period is still in effect, compared to HQ1. However, SoV showed no difference between HQ1 and HQ2. Research implications or Originality - First, Detail Calls are more effective for drugs with active patents, while CRM Calls work better for drugs with expired patents. This emphasizes the need to customize call strategies based on patent status. Second, the significant impact of Web Events on sales in HQ2 compared to HQ1 suggests that online information access is crucial, indicating that customer receptivity varies based on product nature. Third, these insights, derived from data analysis, call for a shift in pharmaceutical marketing analysis methods away from traditional approaches. Finally, this study holds significance as one of the first empirical analyses using actual marketing data from pharmaceutical companies in South Korea.

Analysis of Domestic Patent Trends Related to Functional Clothing Products for Daily Wearable Human Body Protection and Correction (일상 착용형 인체 보호 및 교정 기능성 의류제품 관련 국내 특허 동향 분석)

  • Lee, Ah Lam;Han, Hyunjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.4
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    • pp.764-775
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    • 2020
  • Lifespans are increasing and many consumers are interested in health issues in these busy modern days, developing functional clothing that can be worn everyday is one of the competitive solutions in the oversaturated clothing market. When developing a new item with a fresh idea, it is important to look into prior art beforehand to avoid unnecessary intellectual property right-related disputes. This study investigates Korean domestic patents and utility models about functional clothing in terms of human body performance and health promotion in order to suggest essential data to relevant developers. We selected 324 patents and utility models and made an analysis according to the year, functions, applied technologies, frequency of claims, target wearers and item types. We found problems in current functional clothing patent application trends and suggested new aspects when developing innovative functional clothing items. Data was limited to Korean domestic patents; however, this study is still meaningful giving references to technology roadmaps and encouraging new intellectual property development.

Technological Convergence of IT and BT: Evidence from Patent Analysis

  • Geum, Young-Jung;Kim, Chul-Hyun;Lee, Sung-Joo;Kim, Moon-Soo
    • ETRI Journal
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    • v.34 no.3
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    • pp.439-449
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    • 2012
  • In recent innovation trends, one notable feature is the merging and overlapping of technologies: in other words, technological convergence. A key technological convergence is the fusion of biotechnology (BT) and information technology (IT). Major IT advances have led to innovative devices that allow us to advance BT. However, the lack of data on IT-BT convergence is a major impediment: relatively little research has analyzed the inter-disciplinary relationship of different industries. We propose a systematic approach to analyzing the technological convergence of BT and IT. Patent analysis, including citation and co-classification analyses, was adopted as a main method to measure the convergence intensity and coverage, and two portfolio matrices were developed to manage the technological convergence. The contribution of this paper is that it provides practical evidences for IT-BT convergence, based on quantitative data and systematic processes. This has managerial implications for each sector of IT and BT.

Identification of Convergence Trend in the Field of Business Model Based on Patents (특허 데이터 기반 비즈니스 모델 분야 융합 트렌드 파악)

  • Sunho Lee;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.3
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    • pp.635-644
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    • 2024
  • Although the business model(BM) patents act as a creative bridge between technology and the marketplace, limited scholarly attention has been paid to the content analysis of BM patents. This study aims to contextualize converging BM patents by employing topic modeling technique and clustering highly marketable topics, which are expressed through a topic-market impact matrix. We relied on BM patent data filed between 2010 and 2022 to derive empirical insights into the commercial potential of emerging business models. Subsequently, nine topics were identified, including but not limited to "Data Analytics and Predictive Modeling" and "Mobile-Based Digital Services and Advertising." The 2x2 matrix allows to position topics based on the variables of topic growth rate and market impact, which is useful for prioritizing areas that require attention or are promising. This study differentiates itself by going beyond simple topic classification based on topic modeling, reorganizing the findings into a matrix format. T he results of this study are expected to serve as a valuable reference for companies seeking to innovate their business models and enhance their competitive positioning.

A Study on the Development of National R&D Patent Performance Evaluation Indicators and Evaluation Models (국가 연구개발 특허성과 평가 지표 및 평가 모형 개발에 관한 연구)

  • Hong, Hee-Jung;Lee, Jung-Hoon
    • Journal of the Korea Convergence Society
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    • v.11 no.4
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    • pp.1-9
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    • 2020
  • This study draws implications by surveying and analyzing performance evaluation cases in Korea and overseas, and analyzes qualitative and quantitative performance evaluation indexes and evaluation models that fit the national R & D performance evaluation system through analysis of patent creation performance data or company status data. Also, in order to apply this to a specific group of companies with excellent exports and technical skills, we will conduct a case study on the performance analysis of patent strategy support projects based on the results of the survey. Although this study has some limitations in developing performance evaluation indicators due to the limited scope of business or business characteristics of the patent strategy support project, the qualitative evaluation system can be reviewed through previous studies and domestic and overseas case studies. Due to the problem of accessing and collecting data related to the performance of the support project, there is a limitation that performance analysis cannot be performed at a sufficient level. Nevertheless, after the completion of R&D support projects and patent strategy support projects, follow-up performance analysis can be performed through follow-up surveys. It is expected to be possible.

Technology Strategy in Business Ecosystem of "Coopetition": Evidence from Apple-Samsung Patent Litigation Case (경쟁-협력공존의 산업생태계에서의 기술전략: Apple-Samsung 특허분쟁 사례)

  • Cho, Yongrae;Lee, Youngwoo
    • 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.

An Analysis of Convergence Phenomenon Using Industrial Convergence Coefficient (산업융합계수를 활용한 융합현상에 관한 연구)

  • Hwang, Sung-Hyun
    • The Journal of the Korea Contents Association
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    • v.17 no.3
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    • pp.666-674
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    • 2017
  • Today, the term of fusion, such as technology convergence and industrial convergence, is emerging as one of the most important trends in our society. The purpose of this study is to analyze the convergence coefficient of each industry using patent data and to analyze the convergence phenomenon in industry based on convergence coefficient. To do this, 2011-2015 Korean patent data were utilized. The research findings revealed that the ICC by industry was the highest in order of man-made fibres, paints/varnishes, petroleum products/nuclear fuel and other chemicals. Also, according to the inter-industry convergence matrix, the number of convergence patents was the greatest in order of office machinery and computers, special purpose machinery industries and Measuring instruments. Added same analysis was conducted through Industry with high number of patents. As a result, the convergence has been actively carried out in the fields of optical instruments, Basic chemical, Fabricated metal products, Measuring instruments and special purpose machine manufacturing industries.

A patent application filing forecasting method based on the bidirectional LSTM (양방향 LSTM기반 시계열 특허 동향 예측 연구)

  • Seungwan, Choi;Kwangsoo, Kim;Sooyeong, Kwak
    • Journal of IKEEE
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    • v.26 no.4
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    • pp.545-552
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    • 2022
  • The number of patent application filing for a specific technology has a good relation with the technology's life cycle and future industry development on that area. So industry and governments are highly interested in forecasting the number of patent application filing in order to take appropriate preparations in advance. In this paper, a new method based on the bidirectional long short-term memory(LSTM), a kind of recurrent neural network(RNN), is proposed to improve the forecasting accuracy compared to related methods. Compared with the Bass model which is one of conventional diffusion modeling methods, the proposed method shows the 16% higher performance with the Korean patent filing data on the five selected technology areas.