• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.147-170
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• 2022

Although the number of patent which is one of the core outputs of technological innovation continues to increase, the number of low-value patents also hugely increased. Therefore, efficient evaluation of patents has become important. Estimation of patent lifespan which represents private value of a patent, has been studied for a long time, but in most cases it relied on a linear model. Even if machine learning methods were used, interpretation or explanation of the relationship between explanatory variables and patent lifespan was insufficient. In this study, patent lifespan (number of renewals) is predicted based on the idea that patent lifespan represents the value of the patent. For the research, 4,033,414 patents applied between 1996 and 2017 and finally granted were collected from USPTO (US Patent and Trademark Office). To predict the patent lifespan, we use variables that can reflect the characteristics of the patent, the patent owner's characteristics, and the inventor's characteristics. We build four different models (Ridge Regression, Random Forest, Feed Forward Neural Network, Gradient Boosting Models) and perform hyperparameter tuning through 5-fold Cross Validation. Then, the performance of the generated models are evaluated, and the relative importance of predictors is also presented. In addition, based on the Gradient Boosting Model which have excellent performance, Accumulated Local Effects Plot is presented to visualize the relationship between predictors and patent lifespan. Finally, we apply Kernal SHAP (SHapley Additive exPlanations) to present the evaluation reason of individual patents, and discuss applicability to the patent evaluation system. This study has academic significance in that it cumulatively contributes to the existing patent life estimation research and supplements the limitations of existing patent life estimation studies based on linearity. It is academically meaningful that this study contributes cumulatively to the existing studies which estimate patent lifespan, and that it supplements the limitations of linear models. Also, it is practically meaningful to suggest a method for deriving the evaluation basis for individual patent value and examine the applicability to patent evaluation systems.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.634-657
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• 2016

This study analyzes relationship between utilizing patents and trade secrets of firms empirically by using Koran Innovation Survey data. A number of prior theoretical studies have been discussed by assuming the patents and trade secrets used as alternative mutual relations. However, the use of patents and trade secrets can be used as a complementary and alternative methods generally based on a variety of firm and innovation characteristics. In this study, after controlling for nature of businesses, industry and innovation, the relationships between patent and trade secrets were analyzed by using 2005, 2008, 2010, 2012 and 2014 cross-sectional data. Prior to 2010, the relationship of patents and trade secrets was used as a complementary, while the result of 2014 showed that patents and trade secrets were utilized by firms independently. However, because we couldn't completely rule out the possibility that this result is caused by the difference between surveys, we performed a additional analysis. In conclusion, the independent relationship between patents and trade secrets may be caused by the increased number of patent applications and preference for the patent by firms since 2010.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.159-186
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• 2009

The innovation activity is an important factor for sustained growth in nations and firms. Particularly, the problem of appropriation of results of the innovative activity is very important for innovators since it enables them to enjoy the profits generated by their innovations. This study is intended to empirically analyse relative preference of patent and secrecy that is affected by characteristics of innovators and results of innovation using data from '2005: The Korean Innovation Survey' and Ordered Logit method. As a result of this study, the preference for a specific mechanism is clearly revealed in product innovation rather than process innovation. Also, in most research, questions results of analysis are equal to the previous studies and the nature of appropriation methods. However, the result of a research question based on sources of information is very different from previous researches. This study utilized more recent data than previous studies. This result reflects that existing patterns have been changed during recent period.

• Journal of Technology Innovation
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• v.19 no.1
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• pp.177-201
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• 2011

This study is trying to estimate the effect of survey of prior art on the technological performance of national R&D program, with the purpose to enhance understanding on the relationship between utilization of patent information and R&D activities. Patent and Technology Trend Research, one of the survey of prior art which gives the information about existing technology and patent trend to the project team has been carried out since 2005. In this paper, effects which Patent and Technology Trend Research has on the technological performance of national R&D projects are estimated by using multiple regression model considering input factors, characteristics of an agent and supplier of money. The result is that Patent and Technology Trend Research has positive and significant effect on the grant and application of domestic and foreign patent. This result can give an hint that the utilization of patent information make the R&D process efficient and effective.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.57-91
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• 2012

This paper investigates determinants of litigation success in the two distinctive types of patent litigations, ex-parte and inter-parte cases, which are brought in the process where a filed application becomes a valid patent right. We regress winning rates of patent applicants on the characteristics of firms, trials, patent lawyer, and patent itself, using a probit model with sample selections. The paper finds that the relative suit rate of a firm, time to be sued, changes of patent agents by applicants, and multiple agents among explanatory variables affect ex-parte reexamination and in-parte post-grant patent trials differently in the point of average marginal effects. These variables lower the probability of applicant's victory in the ex-parte cases, while they raise the probability in the inter-parte trials. However, the experience that agents represent applicants is a winning rate-increasing factor both in inter-parte and ex-parte reexamination, unexpectedly. This result cannot be applied to the entire domain of the variable, since sample selection effects are reflected in the result. The number of claim increases the winning probability of the applicant in the both types of patent litigations. This study has some limitations because it ignores the information on the legal person to which a patent agent belongs, and confined agent's experience to patent filing. We leave it future studies to investigate the effects of lawsuit experience of patent agent, and those of characteristics of the law firm to which individual patent lawyer is affiliated.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.83-93
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• 2016

In this paper, I study to determine the effect on patent applicants across the network characteristics of innovation in the ICT sector in Korea. For that, I use the Social Network Analysis(SNA) and the Negative Binomial Regression(NBR). The results about the innovation network in Korea ICT is very dense type. And the degree centrality and the closeness centrality had such a positive effect on innovation performance. Also, the efficiency had not reached a significant effect and the constraint was found to have a negative effect on innovation performance. In the future, based on these results, we need to plan a proper policy of the Korea Technology Innovation Policy.

• ETRI Journal
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• v.42 no.5
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• pp.734-747
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• 2020

Using 23 867 standard essential patents claimed for three different wireless telecommunication standards (GSM, WCDMA, and LTE), this research examined the difference in technological importance and breadth of patents between practicing and non-practicing entities. We discovered that compared to manufacturers and service providers, organizations who do not appropriate innovation-derived profits directly from product or service markets tended to have relatively low-quality but broadly scoped technologies for the claimed standard essential patents. These relationships between the characteristics of inventions and the organizational types were consistently held across different generations of wireless standards as indicated by regressions run for each sample split by generation. Furthermore, the theory and policy implications of our results and arguments are presented herein.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.113-132
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• 2021

This study is a new evaluation using the Arrhenius equation, which is known as the chemical reaction rate estimation equation, to evaluate the intrinsic and extrinsic value elements of patents as a model. The performance of the evaluation model was superior to the SVM, Logistic reg. and ANN models that were used as patent evaluation models in prior studies. In addition, there was a strong correlation between the predicted lifespan of the patent and the actual lifespan of the patent. These evaluation models may be used for evaluation purposes only, or if an evaluation is required, including a commercialization entity or technical characteristics.

• Journal of Technology Innovation
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• v.30 no.3
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• pp.35-64
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• 2022

Currently, The budget expenditure for national R&D has been on the rise, and the quantitative performance in national R&D programs has been increasing accordingly. However, a growth of qualitative performance can not reach to an upward trend of quantitative performance. For a poor qualitative performance such as patent grades and technologies with low efficiency of technology transfer, the performance evaluation centered on "number of cases" is necessary to improve and start to introduce various "qualitative performance indicators". This paper focuses on "Triadic Patent Families" being measurable the overseas competitiveness of patent applied in major countries(the US, Europe and Japan). It analyzes the influencing factors to evaluate the quality of qualitative performance of R&D program. The result of this analysis shows a significant effect on the creating of triadic patent families within factors of R&D scale and project characteristics. This paper is significantly meaningful to expand insufficient triadic patent families to the target of interest rather than early study relatively, and to analyze the influencing factors of the creation of triadic patent families.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.05a
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• pp.31-43
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• 2003

The transformation of sector system in ICT, a prominent character in sector systems, has been paid much attention in innovation theory since Information technologies and technological environment have rapidly changed. In this context, we employ US patent data and proxy variables, measuring the basic elements for analyzing SIS and its technological characteristics in order to explore how SIS is transformed. By utilizing patent analysis, it is demonstrated that technological regimes, key links and Schumpeterian patterns of innovation have transformed drastically over last 3 decades in overall ICT sector. Consequently, our research shows clear evidence that Schumpeterian patterns of innovation have shifted from Mark I to Mark II in ICT. Our study provides a glimpse picture of dynamics of SIS since 1970 in the technological level by utilizing patent analysis.