• Journal of Industrial Convergence
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• v.15 no.2
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• pp.17-26
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• 2017

In light of the fact that the effect of intellectual property rights like patent on enterprise competitiveness is growing, rational valuation of patent rights, which are own by enterprises, is required because accurate patent valuation can bring about the activation of the technology exchange market and enhancing the values of enterprises as well as the security of funds through technology security. However, in reality, interest in the value of patent rights is not great due to many variables, affecting patent rights, and diverse attributes, and non-generalized methods of valuation. Therefore, studies on patent valuation for patent management of Small and Medium Enterprises is required. This thesis examined patent valuation for the patent management of Small and Medium Enterprises based on literature studies, and attempted to find factors, affecting patent valuation by finding patent valuation factors through experts, organizing, and analyzing these factors. 10 essential factors, which are demonstrated in this research, are the commercialization possibilities of technology, market competitiveness, the possibility of technology commercialization, market size, the originality of acquired technology, the stability of the right(the possibility of invalidating), the level of technology, technology competitiveness, the ripple effect of technology, and the characteristics of technology(original technology/application technology).

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.171-193
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• 2008

Every country of the world in the 21st century is going to push forward the policy protecting their intellectual property right, and international movement to protect their intellectual right is still more strengthened. Under these situations, the firm is required to seek for more efficient methods of technology security and business management while the existence of business itself is at risk. The control of intellectual properties in business should be considered in the patent management. In the company, the industrial property right should be into one of the management resource, and its importance has great influence on the existence of the company. The information in patent data can be used for strategic planning purposes. This study systematically evaluates the patenting behaviour of sample of 27 business firms within the Korean metal industry. Utilizing the patent application data between 2000 and 2005, the relationship between these patenting management and company performance is analysed. This study showed that patent activity per employee and labor productivity are positive relationship, but patent activity per employee and firm size are negative relationship. Since a positive relationship between patenting and company performance could be shown, patent activity gains important as a instrument for R&D planning.

• Management & Information Systems Review
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• v.7
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• pp.211-226
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• 2001

This paper relates to a software patent of a computer related invention, explains a describing method of software patent claim which can be registered software patent of computer related invention instead of computer program copyright which is the Intellectual Property about software since 1998 in the Korea Intellectual Patent Office(KIPO) by developing an information communication infrastructure technology and WWW technology. Also, it introduces an international and domestic trends of the software patent for computer related invention and related database for the software patent of the world and mentions advantage and disadvantage of software patent regime of each nation and the facing software patent problems as the Intellectual Property.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.103-110
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• 2019

A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

• Knowledge Management Research
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• v.21 no.1
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• pp.1-25
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• 2020

Although patents have mainly been considered as the results of the invention process, of late their value as strategic assets have increasingly been emphasized. Consequently, the competition for patents among firms has intensified, and the number of patent disputes have been steadily increasing. Patent disputes, which cause enormous expense and resource utilization, increase uncertainty and have been considered as a threat or problem for the firms involved. Patent disputes are expected to have a significant impact on the decision making about subsequent innovation activities. This study attempts to analyze the effect of patent disputes on the subsequent innovative activities of the firms that are sued. After experiencing litigation as defendants, we examine their subsequent patenting strategies. According to the results of the study, firms who are experiencing patent litigation are more likely to achieve high-quality patents and cite recent technology when they apply for patents. Meanwhile, patent litigation experience has been shown to negatively affect the amount of subsequent patents applied. This study increases understanding by examining whether patent disputes, which have been mainly recognized negatively as obstacles, can be an opportunity that comes during a crisis.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.77-84
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• 2016

In general statistical analysis, we need to make a normal assumption. If this assumption is not satisfied, we cannot expect a good result of statistical data analysis. Most of statistical methods processing the outlier and noise also need to the assumption. But the assumption is not satisfied in big data because of its large volume and heterogeneity. So we propose a methodology based on box-plot and data smoothing for controling outlier and noise in big data analysis. The proposed methodology is not dependent upon the normal assumption. In addition, we select patent documents as target domain of big data because patent big data analysis is a important issue in management of technology. We analyze patent documents using big data learning methods for technology analysis. The collected patent data from patent databases on the world are preprocessed and analyzed by text mining and statistics. But the most researches about patent big data analysis did not consider the outlier and noise problem. This problem decreases the accuracy of prediction and increases the variance of parameter estimation. In this paper, we check the existence of the outlier and noise in patent big data. To know whether the outlier is or not in the patent big data, we use box-plot and smoothing visualization. We use the patent documents related to three dimensional printing technology to illustrate how the proposed methodology can be used for finding the existence of noise in the searched patent big data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1458-1467
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• 2010

Recently, imitation and infringement rights of an intellectual property are being recognized as impediments to nation's industrial growth. To prevent the huge loss which comes from theses impediments, many researchers are studying protection and efficient management of an intellectual property in various ways. Especially, the prediction of patent registration is very important part to protect and assert intellectual property rights. In this study, we propose the patent document analysis method by using text mining to predict whether the patent is registered or rejected. In the first instance, the proposed method builds the database by using the word frequencies of the rejected patent documents. And comparing the builded database with another patent documents draws the similarity value between each patent document and the database. In this study, we used k-means which is partitioning clustering algorithm to select criteria value of patent rejection. In result, we found conclusion that some patent which similar to rejected patent have strong possibility of rejection. We used U.S.A patent documents about bluetooth technology, solar battery technology and display technology for experiment data.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.125-145
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• 2020

We explore technology ecosystem of smart surgical medical system by analyzing patent data applied for in Korea and Japan. First, a review of trends of patent application by country/technological domain show that there exist a minority of technology domains focused on R&D, which represent their trends have been increasingly active. Also, while a number of Japanese firms mainly consist of the patent market of Japan, in case of the Korean market, a few universities, SMEs, and foreign firms are found to be the main applicants. As a result of the network analysis with the links as the relations of co-patenting, the relationships, which are active of convergence and knowledge spillover among the heterogeneous technology domains within each market, as well as the technology domains, which are the most active in international cooperation among each homogeneous domain, could get derived and visualized in the ecosystem. In addition, the technology domains in each patent market with leading locations, roles, and influence in the network can also be identified through the centrality analysis. In this study, the analysis for technology competitiveness are carried out focusing on patent activity and patent impact. The results denote that across all domains, the Japanese market may possess higher patent activity and patent impact compared to the Korean market. In consequence, we derive the position map for comparison by country and technology domain from a perspective considering comprehensively the multi-dimensional attributes based on the results of both network analysis and technology competitiveness.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.19-38
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• 2019

This study is a study on the effect of patent management on the performance of new business development, focusing on fusion expert collaboration. In the past, most studies on patent management have been influenced by the quantitative patent index on the business performance. Therefore, research on the effect of patent management on the performance of new business development through the cooperation of fusion experts was very insufficient. Therefore, this study examined the influence of existing patent management on the performance of new business development and the causal relationship between the influence of patent management on new business development performance, focusing on fusion expert collaboration. The results of the hypothesis empirical analysis are as follows. First, patent management showed positive (+) influence on convergence expert cooperation. Patents management has a positive effect on fostering convergence specialists and utilizing convergence experts. Second, patent management has a positive effect on new business development performance. Patent management has a positive effect on the success of the business, the achievement of target sales, the development of new markets, the development of new technologies, and the degree of reflection of customer requirements. Third, patent management mediated by convergence expert cooperation has a negative effect on financial aptitude among new business development outcomes. The results of this study are as follows. First, it is concluded that patent management through mediation of convergence expert cooperation has a positive effect on non - financial performance of new business development performance. Financial performance includes business success and achievement of target sales. Non-financial performance includes new technology development and new market development. Therefore, in order to continuously generate business performance of domestic convergence new business development companies, it suggests that we should make efforts to be linked with new business development performance through revitalization of patent management centered on convergence expert cooperation that has positive (+) influence.

• Korean Management Science Review
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• v.28 no.2
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• pp.63-74
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• 2011

As business environment has become more competitive, the R&D strategies of firms have been regarded more important. Patent has information about technology which affects a firm's profit and it is considered as resources which have provided appropriate data for research of innovations and trends in technology. And patent indicators are known as qualitative representation of technology quality in an objective view. Also, they are available for the continuous and systematic analysis. However, most previous studies have focused on developing patent indicators to investigate patent value and characteristics. Furthermore they have limitations that most results is not significant that patent indicators have effect on firm performance-Tobin's q, Intangible assets based on balance sheet, sales and etc. Thus, the purpose of this paper is to propose proper a factor to represent a firm performance and to analyze causal relationship between patent indicators and firm performance. Intangible assets based on market value are employed as one of most significant firm performance indicator. The results indicate that intangible assets are appropriate for analyzing causal relation between patent and a firm performance with 7 significant indicators among 10 patent indicators. Considering firm's exogenous factors, regression analysis of each data for five years is performed. This result is similar to regression analysis of full data for all years.