• Journal of Digital Convergence
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• v.11 no.12
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• pp.213-227
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• 2013

The purpose of this paper is to study the effects of SMEs' technological competitiveness and technology marketing on commercialization performance. For this, we conducted a survey targeting 204 people who are in charge of new product or technology development in SMEs which possess corporate R&D center authorized by the government on technological competitiveness, technology marketing and commercialization performance. The paper studied the effects of technological competitiveness on technology marketing and commercialization performance, technology marketing on commercialization performance. Empirical analysis shows follow results. First, technological competitiveness which includes technology innovation capability, technology commercialization capability and R&D intensity (investment on R&D personnel) have a positive effect on technology marketing. Second, technology commercialization capability have a positive effect on commercialization sales performance & commercialization non-sales performance, R&D intensity (investment on R&D physical) have a positive effect on commercialization non-sales performance. Third, high core technology and enabling technology on technology marketing result in better commercialization performance. As a result, technology-centered SMEs need to make continuous efforts to elevate technological competitiveness factors such as technology innovation capability, technology commercialization capability and R&D intensity.

• Journal of Information Technology Services
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• v.8 no.2
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• pp.189-204
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• 2009

Our study aims to investigate the determinants of international competitiveness and international specialization in services, using OECD service trade data. Real exchange rates, world demand, economies of scale, diffusion of IT, human capital, R&D expenditure and institutional variables are introduced as explanatory variables in regressions for 29 OECO countries over $1996{\sim}2003$. Some of major findings from the study can be summarized as follows. First, economies of scale play important role in transport and business services. Second, the index of freedom to trade measured by Faster Institute has a positive and significant impact on international competitiveness in telecommunication, finance and insurance and business services. Third, IT provides favorable condition to build international competitiveness in finance and insurance and business services. Fourth, R&D expenditure contributes to the amelioration of international competitiveness in transport services, while investment in new equipments contributes to increasing the competitiveness in telecommunication services. Thus, our results show the importance of the industrial base for developing a competitive service economy.

• The Journal of Economics, Marketing and Management
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• v.8 no.4
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• pp.1-12
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• 2020

Purpose- The purpose of this study is to increase the effect of public technology transfer through government R&D support to secure the competitiveness of public technology startups. The government's R&D budget in 2019 is over 20 trillion won, and there is a legitimate need to increase the performance of technology startups through such R&D results. Research design, data, and methodology- In this paper, we comprehensively analyzed the current status of public research institutes and R&D support projects suitable for founders and analyzed and presented cases of follow-up research conducted by the Institute of Science and Technology Jobs to analyze actual performance cases of R&D support institutes. Results- In this conclusion, a developmental model of public technology entrepreneurship was proposed to increase the performance of public technology commercialization with the scalability of research institutions. In order to create a public technology information system between consumers and suppliers, a Steinweiss-type technology commercialization model for public technology commercialization, and a job-creating enterprise-type linkage R&D support business model were presented to create the results of R&D support organizations. Conclusions- Through the results of this study, it is meaningful to analyze the performance cases of technology commercialization of R&D support institutions, which have not been studied so far, to build competitiveness of research institutions and to present a growth model for the spread of technology startups. This study has implications in terms of suggesting a way to build competitiveness in technology commercialization between market demanders and suppliers by linking existing public technology startups, which deviated from the simple commercialization support system, with job creation by expanding the R&D support system.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.373-386
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• 2013

The purpose of this research is to develop a model for efficient service R&D investment in government budgeting process. It is necessary to develop an efficient and effective investment model to improve competitiveness of the service industry and national economy. Various existing types of service R&D classification have been reviewed. And object-oriented service R&D request classification types have been derived. A tentative model for evaluating service R&D requests have been developed through extensive discussions on effective methodologies. The model has been refined and revised by four service budgeting experts. The revised and refined checklists and guidelines have been used for 40 real service R&D requests evaluations. As a result, a full model for service R&D evaluation and budgeting has been proved to be useful. Also, a need for more efficient and concise evaluation model has been raised through this evaluation process. A brief model with only 10 checklists has been developed and its usefulness has been proven by pilot test with 10 real service R&D requests. The results of this study can be used for evaluation of service R&D proposals and effective budgeting of R&D requests for improving global competitiveness. Further research is needed for refining the developed evaluation models.

• Journal of Korea Technology Innovation Society
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• v.10 no.2
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• pp.310-333
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• 2007

This paper introduces a relative comparative advantage index and a composite concentration index of university research activity in science and technology. Three hypotheses were tested regarding differences of degree of concentration based on the size of government R&D fund, location of university, and source of foundation, respectively. T-test results imply that there are significant differences of concentration based on the size of R&D fund and source of foundation, while location of university does not show a significant difference. The paper generally suggests that the lesser size of government R&D fund would lead higher level of concentration, and public funded universities tend to maintain far higher concentration ratio. The paper contributes by introducing relevant indexes for analyzing university research competence, concentration and competitiveness, and hence by proposing policy direction and implication for university competitiveness policy.

• Korea Trade Review
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• v.45 no.1
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• pp.47-64
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• 2020

For the past few years, the Korean government has been consistently expanding its national research & development budget to accelerate economic growth through technology innovation and the enhancement of international competitiveness in global markets. The objective of this paper is to define the concept and analyze the current status of national R&D programs by measuring R&D efficiencies. We determine R&D efficiency by reflecting inputs and outcomes of the five main agricultural R&D programs between 2010 to 2015, and by categorizing and regrouping figures that may affect R&D performance. Among 1,128 targeted projects, 832 projects with patents and thesis were selected for analysis in terms of measuring technology efficiency, pure technology efficiency, and efficiency of scale. Also, the Kruskal-Wallis test was also utilized as well. As a result of empirical analysis, figures that affected the efficiency level of national R&D programs included differences in research resources, research management levels and skills, and research field. This study can be utilized as a reference for re-establishing national agricultural R&D policies, such as enhancement of national technology competitiveness in the global market environment, improving and adapting to new agricultural conditions, market expansion, national agricultural R&D efficiency, aging rural population, agricultural management cost increase, and climate change mitigation.

• Journal of Technology Innovation
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• v.5 no.2
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• pp.48-79
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• 1997

This study aims to evaluate and identify the patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexse were used. It was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five types was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.805-836
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• 2017

China has become the group of two (G2) in almost fields including the scientific technology following the economic growth and joining the WTO in 2001. The main reason is that the government had strong intention for the industrialization of the scientific technology and connected the scientific technology and the economy. Typically, for analyzing the cause of the meteoric rise of China, the competitiveness of the scientific technology was analyzed by the entire score of the nation. However, in the case of China, there are differences in the pattern of the development between the eastern, central, and western province. Also, the industrialization and the competitiveness of the scientific technology are difference because each province established the decentralization of power. Therefore, it is more meaningful to analyze the main factors of Chinese economic growth on a province unit. In this study, therefore, we analyzed the competitive of R&D in China by 124 indexes in 31 areas. The data was analyzed by Partial least squares regression analysis. In conclusion, the scale of the area and the ability of R&D of the company are very important factors for total amount of production in the area. And the journals, patents, the transfer of technical know-how and the investment of R&D are main factors of the amount of export on the high-tech product. According to these results, the factors which make the difference in the industrialization and the competitiveness of the scientific technology in China were analyzed. Finally, it will be helpful to establish the policy for the development of the industrialization and the scientific technology in Korea.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1868-1875
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• 2016

This paper presents the mega trends of technology and competitiveness analysis results based on patent analysis for establishing effective research and development (R&D) strategy on UAV (Unmanned Aerial Vehicle) in the aerial ICT industry. In order to analyze mega trends of UAV technologies, patent analysis is conducted focusing on published/registered patents of Korea, the U.S., Japan, and Europe. We divided the target technologies into 3 main category levels based on the converging technology of UAV and ICT. The 3,433 patents are collected. Patent indicators such as patent activity (PA), cites per patent (CPP), and major market expansion (MME) are extracted for grasping the technology competitiveness and Korea's competitiveness per sub category levels of UAV. We suggest the R&D strategy of each technology areas based on patent analysis results. We analyzed Korea's technology levels, advanced companies' R&D trends, and patent trends through patent information and expected that this paper would be utilized for establishment of R&D strategy of UAV in the future.

• Proceedings of the Technology Innovation Conference
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• 1997.12a
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• pp.197-228
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• 1997

This study aims to evaluate and identify the Patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexes were used. it was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five typers was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.