• Knowledge Management Research
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• v.22 no.2
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• pp.77-93
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• 2021

In order to continue to grow in response to the rapidly changing industrial environments, companies must retain technological innovation capabilities and enhance market competitiveness. When competition is intensifying for creating new businesses and developing new products through technology commercialization, creating and utilizing technology convergence performance is an important means to create new competitiveness. However, there has been a lack of effort to systematically understand the level of technology convergence performance of the enterprise and to understand its relationship with management performance. In this paper, we develop a new analytical index by segmenting the technology convergence into patent variety, balance and disparity using patented IPC code information based on the concepts presented in existing diversity studies. In addition, 4,522 patents granted for three years between 2013 and 2015 by 219 KOSDAQ companies belonging to the domestic ICT convergence industry were analyzed to demonstrate that the level of technology convergence performance is positively related to sales growth rate in 2016.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.688-701
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• 2020

This study analyzes the characteristics and change factors of technological cooperation networks in the automotive industry. Using Social Network Analysis (SNA) of 112,009 autonomous driving-related patents filed from 2000 to 2017 by major automotive firms in the world, we investigate the structure of the technological cooperation network. Network characteristics such as density are analyzed through structural characteristic analysis among the network analysis indicators. The structural characteristics of the technology cooperation network are confirmed through analysis of status characteristic indicators, such as the degree of centrality, betweenness centrality, and closeness centrality. Results show that car makers such as Toyota and Hyundai Motors, as well as parts suppliers such as Bosch and Continental, have high-performance technology developments related to autonomous driving. The structural characteristics of the network show that companies participating in cooperative networks for autonomous driving technology development have increased in number and are diversified, and all of the status characteristics indicators have decreased. This can be interpreted as an increasing number of horizontal and complementary forms of technological cooperation between firms. In addition, it was confirmed that the number of participants in the field of autonomous driving technology has increased, and the networks have become more complex.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.2
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• pp.11-19
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• 2013

Many companies are developing a numerous number of new products and business models for their sustainable growth. First, their unique technological capability needs to be obtained to develop new products and services. However, as the applicable period of a technology into its industrialization becomes shorter and shorter, the necessity of technological convergence is increasing. Therefore, this study aims to look at the patent status in Korea for the last ten years to analyze in which direction technological convergence had advanced and further compare the patent status in Korea with that in U.S., Europe, and Japan. In addition, this study looks at the impact of converged patent technology on the sales in relevant industries. To this end, this study collected 5,000 patents applied from 2000 to 2009 for the last ten years in Korea, U.S., and Europe every year and conducted network analysis by using UCINET, social network analysis program. In this study, we drew our research findings as follows: First, we could find that technological convergence increased over time and what technology was in the center of fusion. Second, our correlation analysis found that as we had more technological convergence, it was more related to the sales in relevant industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.34-47
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• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.159-173
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• 2017

In order to provide technical financial support to small and medium-sized venture companies based on technology, the government implemented the TCB evaluation, which is a kind of technology rating evaluation, from the Kibo and a qualified private TCB. In this paper, we briefly review the current state of TCB evaluation and available indicators related to technology evaluation accumulated in the Korea Credit Information Services (TDB), and then use indicators that have a significant effect on the technology rating score. Multiple regression techniques will be explored. And the relative importance and classification accuracy of the indicators were calculated by applying the key indicators as independent features applied to the generalized boosting model, which is a representative machine learning classifier, as the class influence and the fitness of each model. As a result of the analysis, it was analyzed that the relative importance between the two models was not significantly different. However, GBM model had more weight on the InnoBiz certification, R&D department, patent registration and venture confirmation indicators than regression model.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.24-38
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• 2021

This study aims to measure Korea's global competitiveness in intelligent information technology, which is the core technology of the 4th industrial revolution. For analysis, we collect patents of each field and prior patents cited by them, which are applied at the U.S. Patent Office (USPTO) between 2010 and 2018 from PATSTAT Online. A global knowledge transfer network was established by grouping citing- and cited-relationships at a national level. The in-degree centrality is used to evaluate technology acceptance, which indicates the process of absorbing existing technological knowledge to create new knowledge in each field. Second, to evaluate the impact of existing technological knowledge on the creation of new one, the out-degree centrality is investigated. Third, we apply the PageRank algorithm to qualitatively and quantitatively investigate the importance of the relationships between countries. As a result, it is confirmed through all the indicators that the AI sector is currently the least competitive.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.141-163
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• 2013

As the importance of biotechnology has been increased as a growth engine for country, most countries get focused on securing technological competitiveness in the field of biotechnology. Under the fierce global competition, it is very important to identify technological competitiveness of Korea and our neighboring countries in order to carry out effective research and development. Expert opinion survey such as Delphi is mainly conducted to analyze the technological competitiveness, but the method based on experts' intuition may produce different results depending on survey respondents due to the strong subjective inclination. In this study, the patent registered in US was utilized to analyze the technological competitiveness based on objective data. Targeting countries were Korea, China and Japan which were leading nations in the Northeast Asia. As analytical indexes, NP(Number of Patents), CPP(Cites per Patent), PII(Patent Impact Index), TS(Technology Strength), TI(Technology Independence), PFS(Patent Family Size) were used for analysis. Moreover, the industrial linkage with biotechnology was analyzed by matching IPC code of patents with 44 industries. Based on this analysis, technological convergence and utilization were quantified. The findings can be utilized as basic data when policy is established to improve technological competitiveness in the field of biotechnology.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.689-696
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• 2017

4차 산업혁명의 도래와 더불어 ICT 기계, ICT 금융, ICT 의료, ICT 나노 등과 같이 기술분야별 영역의 장벽이 허물어지고, 학제간 연구(Interdisplinary Research)가 일상화됨에 따라 국가 R&D 과제도 융합기술의 형태로 진화, 발전하고 있다. 부처별 R&D 과제의 결과물에 대한 성과평가는 현 시점에서 정성 평가지표에 대한 전문가의견법 결과를 참조하고 있으며, 일부 과제에 있어서 특허의 상태적 우위도(등급화) 결과를 반영하는데 머물러 있다. 본 연구에서는 과거 3~5년전 기술가치평가가 수행된 정부 R&D 과제에 대해, 가치평가 결과를 매출발생 시점 이후의 매출액 증감분과 비교 분석하여 시사점을 얻고자 한다. 특히 ICT 분야 R&D 과제로부터 산출된 기술적 성과(특허 10건 선정)에 대해, 해당 기술을 사업화한 주체(기업)의 매출액 실적을 비교하여 상호 관련성을 파악하고, 공공 R&D 과제의 평가관리 체계에 포함할 수 있는 실질적 개선 방안을 제시한다. 본 연구에서 제안된 기술가치평가 모형 및 참조정보 활용방안은 R&D 평가년도의 성과물에 대한 경제적 가치 수준 파악을 할 수 있는 평가툴이 되는 동시에, 차년도 국가 R&D 과제에 지원한 우수 기술 보유 기관의 미래 수익성을 파악하여 과제선정의 객관성을 높일 수 있는 정보지원툴로 활용할 수 있을 것으로 기대된다.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.318-340
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• 2006

In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

• Journal of Wetlands Research
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• v.22 no.4
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• pp.245-256
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• 2020

The purpose of this study is to evaluate the technological competitiveness of the environmental industry with developed countries in order to establish an international market expansion strategy of the Korean environmental industry and technology. In order to evaluate the competitiveness of the environmental industry and technology, core technologies were classified by the environmental industry sectors based on the classification system of the domestic and international environmental industry and technology. After developing the evaluation index data, the Delphi analysis, journal and patent analysis, as well as the export and import analysis were carried out and the standardization analysis was performed on the index data. Moreover, the weights of each evaluation index were calculated using the AHP(Analytic Hierarchy Process) method and the evaluation results of competitiveness of the environmental industry and technology in Korea, the United States, the United Kingdom, Germany, and France were derived. As a result of the evaluation, the United States was rated with the highest technological competitiveness in all the environmental industry sectors, while Korea got the lowest technological competitiveness rating compared to the 4 developed countries. In particular, Korea got the lowest level of technological competitiveness in the sector of multi-media environmental management and development for a sustainable social system. Therefore, in order for the Korean environmental industry and technology to enter the global advanced market, it is necessary to strengthen the competitiveness through the development of the fourth environmental industry based on IoT(Internet of Things), cloud, big data, mobile, and AI(Artificial Intelligence), which are currently the country's domestic strengths.