• Journal of Korea Technology Innovation Society
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• v.14 no.1
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• pp.1-21
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• 2011

Technical change and technological innovation have become major drivers of economic progress in the knowledge oriented economies where growth, productivity, and competitiveness are increasingly based on improved technologies, novel products, upgraded processes or customized services. The creation of new knowledge, modifying or improving existent knowledge, or imitation of others, has become central to economic development. New discoveries, state-of-the-art information gathering procedures, or successful problem solving routines are often at he core of these innovations. Despite the generally acknowledged importance of science in many high-tech areas of major economic relevance, there is few science-related statistics to be found in high-profile international benchmarking reports. This paper aims to provide an answer by advancing our understanding of the possibilities of indicators quantifying linkages between science and technology. Central are the concepts of innovation capability and science/technology interface, which are used to assemble a wide range of empirical studies and quantitative indicators to summarize their possibilities and limitations for producing comparative statistics. For the purpose of the study, we extracted the US patents by Korean assignees or inventors, scientific papers cited in the patents in order to analyze the characteristics of linkage of scientific knowledge flows. The review focuses on indicators dealing with flows of written or codified information, and indicators of inventiveness that capture the non-codifiable tacit knowledge dimension. General conclusions will be drawn with a view towards further developments in the foreseeable future, suggesting new avenues for the design and implementation of patent-based and inventor-based relationships between scientific research and technical development within the context of regional or national systems of innovation.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.299-322
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• 2012

Biotechnology is considered a new propeller to national economic growth. Although BT-based converging technology is one of keywords in nowadays, few studies analyze the characteristics of Korean BT convergence market. This study has conducted the analysis of BT-based converging technology market by using patent database in KIPO (Korean Intellectual Property Office) from 2000 to 2010. We, especially, have classified BT convergence into homogeneous and heterogeneous ones, and compare the nature of BT convergence market with that of non-convergence one. To achieve the object of this study, the following methods are used: concentration across IPC technological classes; concentration of patenting activity across firms; PFS (Patent Family Size) index. Furthermore, according to FOS technology-industry table, we have intended to find new converging industry of BT heterogeneous converging technologies. As very few studies have focused on Korean converging technology market so far, this analysis is considered to be meaningful. It is found that the market of BT converging technology is rather robust than that of BT non-converging one, which refers that BT convergence shows the tendency of concentration towards few technologies by few conglomerate firms in Korea. Meanwhile, we have derived a BINET keyword map to research the convergence of sub-technologies in detail and the related industries. We expect the implications of this study to be utilized in establishing the BT-based converging technology policy.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.754-783
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• 2013

This study aims to suggest an empirical approach for improving the reliability of the valuation method for the technology developed at universities by using the recent data of university technology transfer. The influencing factors, the internal capabilities of an university and the characteristics of technology area, on the outcome of university technology transfer were investigated for this study. The analysis shows that the technology area distribution of the outcome of technology transfer of each university can be classified into two type: IT and NT area oriented type, and BT and other area oriented type. The analysis also shows that the type of technology area distribution can act as a moderator in the positive relationship between each independent variables, the number of patent applications and the number of technology commercialization staff, and the outcome of technology transfer. Considering that the capability of technology development and that of technology spread are related directly or indirectly to all the technology valuation process, the analysis results imply that the reliability of the valuation method for university technology might be improved by using factors of the internal capabilities of an university and that of the characteristics of technology area.

• Management & Information Systems Review
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• v.28 no.2
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• pp.95-112
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• 2009

The paper investigates the determinants of firm's standardization activity in the Korean service industry. Standardization variables as dependent ones are standardization management at the firm level, domestic standardization activity, and international standardization activity. The independent variables include innovative activities(R&D intensity and patent application), firm size, export ratio, network, and firm's organization characteristics. We estimated the logistic regression model, using the data from 102 Korean service firms. The empirical findings are as follows. First, R&D intensity has a positive effect on international standardization activity, but not on the standardization management at the firm level and domestic standardization activity. Second, patent application has a negative effect on the standardization management at the firm level. Third, firm size doesn't have any influence on firms' standardization activities in the service sector. Fourth, the level of chief executive officer's interest on standardization is a very important factor in determining firms' efforts to participate standardization process, regardless of types of standardization activity.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.57-89
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• 2016

This paper used individual establishment level data to estimate the effects of government support for the research and development of 'small and medium enterprises'(SMEs). We analyzed, on the establishment level, the degree of technical advancement, strength of private R&D incentives, and the effect on employment levels of firms which participated in the 2010 government R&D support project. The results of this study are as follows. First, the size and frequency of government investment in the R&D of SMEs were both positively correlated with the amount of patent registrations. Furthermore, we found that the amount of patent registrations were positively correlated with the size of the establishments, but the average level of technological advancement for the firms running the research was lower than the average level of technological advancement for the firms merely participating in the project. Second, the government's R&D policy was found to be complementary to private R&D incentives, and a 1% increase in government R&D investment resulted in an inelastic increase (0.193~0.245%) of the firms' post-program R&D spending. Third, we found that R&D support from the government contributed to an increase of employment by the participating firms. Additionally, we found that the impact of R&D support on job creation varied for the firm size and technological characteristics. Therefore, it is important for governments to take into consideration each type of small business, when setting R&D policies.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.361-374
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• 2021

The purpose of this study is to analyze the efficiency and productivity of technological innovation activities of companies certified as innovative pharmaceutical companies by the government to diagnose their competitiveness and derive measures to strengthen them. This study collected pharmaceutical input (R&D expenditures and number of employees) and output (sale, operating profit and patent) data between 2017 and 2019 for 38 innovative pharmaceutical companies. This study analyzed them using the data envelopment analysis (DEA) method, Tobit model and the Malmquist Productivity Index (MPI). First, the DEA result of the innovative pharmaceutical companies show that between the value of the CCR model of the scale efficiency and the value of the BCC model to diagnose the internal operation efficiency is differences. Second, efficiency does not differ between corporate characteristics. Third, Tobit model shows that number of patents held have positive effects on efficiency. Forth, overall MPI is 0.89. This can be interpreted as the rate of TECI decreased 3%p and TCI has increased 4%p. The results of this study can be used as decision-making data for response strategies to improve efficiency by identifying the cause of inefficiency and presenting target values.

• The Journal of Bigdata
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• v.6 no.2
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• pp.109-124
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• 2021

In this paper, the structural characteristics of Industry-University cooperation networks are analyzed using network analysis. Recent studies have shown that technological cooperation and joint research has a positive effect on R&D performance. In order to boost innovation performance, various types of cooperative activities and governmental policy supports for major R&D stakeholders(i.e. universities, laboratories, etc.) are provided. However, despite these efforts, the outcome is still insufficient, so it is time to prepare for a plan to build an innovative network to strengthen university-centered Industry-University cooperation activities. Specifically, this study builds the networks according to the form of Industry-University cooperations(i.e. patent, paper, joint research, and technology transfer), and different types of Industry-University cooperation networks are analyzed from a statistical viewpoint by using QAP correlation and regression analyses. The analysis results show that joint research network is closely related to paper network, and is related to other Industry-University cooperation networks. This study is expected to shed a light on supporting innovation activities such as establishing Industry-University cooperation strategies and discovering cooperative partners necessary for creating new growth engines for universities.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.565-577
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• 2020

This study empirically examined how a firm size affects the determinants of innovative activities using the data of the Korean Innovation Survey (KIS) 2016. With data from 2,003 firms in the manufacturing sector, we performed logistic regression analysis and zero-inflated negative binomial regression analysis. R&D expenditure and patent applications were used as proxies for innovative activity. The independent variables included the firm's characteristics variables such as the firm's age, tech-level industry, RDemp (R&D employee ratio), venture, export, and industrial characteristics variables such as networking, appropriability, and spillovers. The empirical findings are that there are some differences in firms' innovative activity determinants among the firms' size groups. Next, strategic appropriability has negative impacts on small firms' R&D expenditure and medium-firms' patents. Networking is an important determinant of innovative activity for all firms, except for large firms. Furthermore, in deciding R&D activities, small and medium-sized firms were significantly influenced by industrial characteristics as compared to that of large firms. Our findings suggest some R&D promotion policies. Policies fostering firms' technological interaction would allow firms to take advantage of technological spillovers and thus raise the probability of investing in R&D.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.510-531
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• 2008

The importance of universities' knowledge to industrial innovation have widely pervaded the academia as well as policy communities. During the last three decades, a series of policy measures vitalizing the knowledge-transfer activities of academics have been implemented both in industrialized and industrializing countries. However, The concerns on the industry's influences on the academia have been raised by a group of researchers such as 'Economics of science'. Against this background, this paper addresses the issues related to the relationship between the academic research and knowledge-transfer activities. Particularly, based on the 16 years' panel data of Korean academics' patent and paper outputs, the effect of patenting activities on publishing activities is investigated. Moreover, the specific context of Korean academic system as well as general characteristics of academics are considered in the analysis and discussion. According to the results, not just the publishing and patenting outputs but their productivities have been dramatically increased during the last 16 years. The main finding is that the patenting activities have a consistent positive effect on the publishing activities of the academics in the estimations of panel models. Based on these results and the discussions, some policy recommendations for university-industry collaboration are suggested.