• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.51-61
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• 2020

Ever since the Act on the Promotion of Industrial Education and Industry-Academic Cooperation (IAC) was enacted in 2003, domestic universities have been focusing on commercialization research that can be applied to basic research industries by collaborating with industry and government agencies. Despite these efforts, the ratio of technology transfer and commercialization through IAC is low. Most technology transfer and technology commercialization studies have derived core technologies by analyzing the applied patents. First, this study collected expired patents from major domestic universities, compared quality characteristics of the expired and live patents, and finally found key patents among expired patents in order to identify companies and fields of application to which the patents can be utilized. The results of the study focus on expired university patents in terms of methodology and present a framework to identify patents capable of continuous IAC and technology transfer and match them with those in need. The results of this study are expected to contribute to increasing the efficiency of technology commercialization.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.1-28
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• 2017

Today, according to the increased importance of industry-university cooperation in the knowledge-based economy, support and the number of researches involved in industry-university cooperation has also steadily increased. But it is true that profits from the outcome of patents resulting from such cooperation, such as technology transfer and royalty fees, are lower than they are supposed to be, because of excessive patents applications, although some of them have little commercial potential. Therefore, this research aims to suggest a way to analyze and recognize patents, which enable efficient industry-university cooperation and technology transfer. For the analysis, data on 1,061 patents was collected from 4 different universities. With the data, a quality-strategy matrix was arranged targeting the industry-university cooperation foundations', US patents owned by universities, text mining, and social network analysis were carried out, particularly focusing on the patents in the advanced quality technology section of the matrix. Then core key words and IPC codes were obtained and key patents were analyzed by universities. As a result of the analysis, it was found that 4 key patents, 2 key IPC codes were drawn for University H, 4 key patents, 2 key IPC codes for University K, 6 key patents, 1 key IPC code for University Y, 14 key patents, and 2 key IPC codes for University S. This research is expected to have a great significance in contributing to the invigoration of industry-university cooperation based on the analysis result on patents and IPC codes, which enable efficient industry-university cooperation and technology transfer.

• 발명특허
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• v.7 no.8 s.78
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• pp.13-18
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• 1982

특허청은 공업소유권제도의 국제화 추세에 따라 특허협력 조약(PCT)에 가입하는 것을 전제로 특허출원절차의 국제협력 및 기술정보의 확산을 통한 국내기술개발을 촉진하기 위하여 필요한 국내적조치로써 특허법중 개정법률안을 다음과 같이 마련하였다. 또한 부실특허권의 행사로부터 선의의 피해자를 보호하기 위하여 특허권효력의 일시정지에 관한 규정도 개정법안에 신설하고 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.568-578
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• 2021

Patents that are research results from industry-university cooperation (IUC) are a source of innovation, and play an important role in economic growth, such as technology transfer and commercialization. For this reason, there are many efforts to revitalize IUC, but in general, company patents are achievements that can be commercialized, rather than research achievements, so not all patents are used for business, even after their creation as the outcome of IUC. Therefore, this research supports the design of measures in which IUC can ultimately be linked to successful utilization of patents by identifying the purposes of IUC, even after it has been successfully promoted, and patents have been filed as a result. To this end, first, the patents registered for industry-academia cooperation in the United States are collected, and second, a predictive model is designed, with unexpired and expired patents predicted using machine learning techniques. The final identified patents are intended to derive available factors in terms of marketability and technicality. This study is expected to help predict the utilization of unexpired and expired patents, and is expected to contribute to setting goals for research results from technical cooperation between corporate and university officials planning early IUC.

• 발명특허
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• v.7 no.10 s.80
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• pp.66-69
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• 1982

특허청은 공업소유권제도의 국제화추세에 따라 특허협력조약(PCT)에 가입하는 것을 전제로 특허출원절차의 국제협력 및 기술정보의 확산을 통한 국내기술개발을 촉진하기 위하여 필요한 국내적조치로써 실용신안법중 개정법률안을 다음과 같이 마련하였다. 또한 부실특허권의 행사로부터 선의의 피해자를 보호하기 위하여 특허권효력의 일시정지에 관한 규정도 개정법안에 신설하고 있다.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.761-790
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• 2011

In the knowledge-based economy, firms are increasingly exploiting their intellectual properties, especially patents. However, firms usually fail to commercialize all of their patents and some of them are not used even for strategic purposes. Therefore managing sleeping patents constitutes one important aspect of firms' overall patent strategies. This paper considers market uncertainty, technology uncertainty and strategic uncertainty as the reasons for sleeping patents. We analyze how firms' patent-related activities can reduce sleeping patent ratios. The firms' activities examined in here are patent audit, preliminary evaluation, prior art and cooperation. Noticing the prevalence of sleeping patents, this paper contributes by providing insights into how firm's activities affect the sleeping patent ratios. Insights for practitioners and policy makers have been provided from the empirical results.

• The Inventors News
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• no.37
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• pp.14-14
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• 2005

버버리풍, 샤넬스타일 등 명품 인용 광고 못해 - 올해 특허출원 가파른 상승 곡선 그려 - 특허청, 유럽특허청과 협력 협정 체결 - 대기업과 중소기업 공동 특허, 특허료 50$\%$ 할인

• Information Systems Review
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• v.26 no.2
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• pp.155-167
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• 2024

This study recognized the importance of joint research in the field of artificial intelligence and analyzed the characteristics of the industry-academic-research technological cooperation ecosystem focusing on patents from the perspective of the Techno-Economic Segment (TES). To this end, economic entities such as companies, universities, and research institutes within the ecosystem were identified for 7,062 joint research projects out of 113,289 artificial intelligence patents over the past 10 years filed in IP5 countries since 2012. Next, this study identified the topics of technological cooperation and the characteristics of cooperation. As a result of the analysis, technological cooperation is increasing, and the frequency of all types of cooperation was high in industry-to-industry (40%) and industry-to-university (25.2%) relationships. Here, this study confirmed that the role of universities is being strengthened, with an increase in the ratio of companies with strengths in funding and analytical data, industry and universities with excellent research personnel (9.8%), and cooperation between universities (1.9%). In addition, as a result of identifying collaborative patent research areas of interest and collaborative relationships through topic modeling and network analysis, overall similar research interests were derived regardless of the type of cooperation, and applications such as autonomous driving, edge computing, cloud, marketing, and consumer behavior analysis were derived. It was confirmed that the scope of research was expanding, collaborating entities were becoming more diverse, and a large-scale network including Chinese-centered universities was emerging.

• 발명특허
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• v.2 no.6 s.16
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• pp.20-21
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• 1977

• 발명특허
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• v.7 no.1 s.71
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• pp.20-22
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• 1982