• Journal of Digital Convergence
• /
• v.18 no.2
• /
• pp.83-93
• /
• 2020

As the importance of the biohealth industry has recently increased, innovative government support is required. However due to the limitation in the support framework, a complementary support system for commercialization is needed. This study examines the concept of TRL which the existing support being following, and investigates domestic support system and overseas support cases. It points out that the current TRL-based government support policy has limitations for the commercialization of the biohealth industry, which requires a lot of time and investment. The new concept of the support system reflecting the characteristics of the bio-industry and solving the problems of late R&D stage was proposed and connected with the policy direction. It is meaningful that the role as a guideline for overcoming the gap between research and industry for the commercialization of the biohealth.

• Korea Trade Review
• /
• v.43 no.4
• /
• pp.155-175
• /
• 2018

This study estimates the technical efficiency and total factor productivity(TFP) of and analyzes the relationship between TFP and exports for Korean manufacturing companies from 2000 to 2016. Specially, TFP is decomposed into Technical Change(TC), Technical Efficiency Change (TEC), and Sale Effect(SE), and compared between large and small enterprises. First, in the case of technical efficiency, the Korean economy has been very vulnerable to external shocks, such as the sharp decline following the 2008 financial crisis. The efficiency of the electronics, automobile, and machinery sectors is low and needs to be improved. In addition, the technological efficiency of large enterprises is higher than that of SMEs in most manufacturing sub-sectors except for non-ferrous metals. In the case of TFP, most changes are due to TC, and the effective combination of labor, capital and the effect of scale have little effect, suggesting that improvement of internal structure is urgent. In addition, volatility due to the impact of the financial crisis in 2008 was much larger in SMEs than in large companies, so external economic impacts are more greater for SMEs than large enterprises. The relationship between TFP decomposition factors and exports shows that TC has a positive effect only on exports of SMEs. Therefore, in order to increase exports, in the case of SMEs, R&D support to promote technological development is needed. In the case of large companies, it is necessary to establish differentiated strategies for each export market, competitor company, and item to link efficiency and scale effect of exports.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.6
• /
• pp.1137-1144
• /
• 2020

This paper aims to provide strategic suggestions by analyzing technology trends related to big data, IoT, and artificial intelligence. To this end, analysis was performed using the 2018 national R&D information, and major basic analysis and language network analysis were performed. As a result of the analysis, research and development related to big data, IoT, and artificial intelligence are being conducted by focusing on the basic and development stages, and it was found that universities and SMEs have a high proportion. In addition, as a result of the language network analysis, it is judged that the related fields are mainly research for use in the smart farm and healthcare fields. Based on these research results, first, big data is essential to use artificial intelligence, and personal identification research should be conducted more actively. Second, they argued that full-cycle support is needed for technology commercialization, not simple R&D activities, and the need to expand application fields.

• Journal of Convergence for Information Technology
• /
• v.8 no.4
• /
• pp.237-245
• /
• 2018

The purpose of this study is to suggest the improvement plan for an effective benefit sharing support policy through empirical analysis on the benefit sharing operation of government as well as the benefit sharing support policy of government affecting firm performance. Therefore, this study analyzed current problems on benefit sharing operation of government as well as performed a survey for 225 participating and cooperation firms regarding firm performance. This study found some improvements such as insufficient diverse incentive measures leading to the difficulty of participating firm's increase and spread, insufficient substantial benefit sharing such a cash allocation between consignment firms, the increase of biz management system model failing to induce innovation of new technology or product, and difficult spread into 2nd, 3rd cooperative firms besides 1st ones, meanwhile, verifying the positive influence of government benefit sharing support policy on both participating and cooperation firms, especially on the performance of cooperation firms. As a further study, it is necessary to increase the objectiveness and accuracy of a research through verification of the interrelationships between firm statue and performance on the basis of more objective and quantitative data such a sales increase or R&D capability of cooperation firms.

• KDI Journal of Economic Policy
• /
• v.27 no.1
• /
• pp.123-156
• /
• 2005

Strengthening the competitive edge of SMEs has become one of the most important economic issues in Korea as the bipolarization between large firms and SMEs has deepened. Accordingly, small innovative firms (referred as 'venture firms' in Korea) attract keen attention both from policy makers and academia. Also, we can sufficiently observe how the growth environment for venture firms has evolved, since it has been almost ten years after the Korean government started its support policy for venture firms. Considering this, now is the appropriate time to carry out an analysis of venture firms. From this point of view, this study looks at growth factors for venture firms to draw out policy implications. The empirical analysis shows interesting results. Firms with the following features all showed higher growth rates: firms with high R&D intensity, younger firms, bigger firms, firms using more policy loans, and firms located within and around the Seoul region. However, the empirical analysis has some limitations. The data used in the study is limited in terms of firm information and so there are some insufficiencies. Thus it is of great importance to compile the required data on firms to enable further in-depth studies.

• Journal of the Economic Geographical Society of Korea
• /
• v.20 no.2
• /
• pp.228-244
• /
• 2017

This paper aims to evaluate the Industrial Complex Campus Program and to provide policy recommendations for promoting effectiveness of industrial complex campuses through the in-depth case study on the Changwon Industrial Complex Campus Program. The survey shows that the program contributes to not only strengthening the R&D capacities of SMEs within the cluster, but also promoting the interactions between local companies and local universities. But it claims that the industrial complex campus program reveals some limitations to supporting effectively local enterprises. First, It is necessary to maintain regional balance in terms of the sites of the implementation of the program. Second, the policy management plan and the monitoring system of the program should be established for the purpose of the self-reliance of industrial complex campuses, regardless of the government financial support.

• Journal of Service Research and Studies
• /
• v.11 no.3
• /
• pp.31-42
• /
• 2021

This study is a study on theoretical considerations on industrial design data in the era of data economy. This study aims to illuminate the value of industrial design data, interpret the meaning of the transition from design management to the design data era, and highlight the importance of literacy to interpret data for designers. The scope of research approaches the R&D capability dimension of a company to explore the industrial value of design. It limits the scope of research from an industrial point of view rather than the humanistic basis and aesthetic value of design. As a result of the study, it was found that the value of industrial design data is not in ex post evaluation, but in customer-oriented market prediction, and that the design industry data-led strategy is important. The key point is that the industrial design data issues of large companies and SMEs are different, the direction of industrial design data should be to support customer-centered decision making in the product/service development of companies, and the core competency is the amount of data or tools and technologies to handle it. No, it should be in data literals. Lastly, if the use of industrial design data is to be strengthened, management of the public level rather than the personal level of data management should be preceded.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.2
• /
• pp.587-614
• /
• 2018

The Korean government is aiming to strengthen industrial and national competitiveness through the promotion of cooperation between universities, public research institutes and industry and vitalization of technology transfer. In 2013 and 2014, the Ministry of Trade, Industry and Energy and Ministry of Science, ICT and Future Planning have announced policies to support SMEs by public research organizations. In addition, in 2015, the 'Korean Fraunhofer support system', which pay government subsidies according to the amounts of private R&D funds was adopted. However, there are some concern about the government's policies. There is yet disclosed how these policies affect technology transfer because industrial R&D funding has not been activated in Korea unlike German. Therefore this paper analyzes effects of relationship between universities, public research institutes and external organizations on performance of technology transfer based on the Triple Helix Model. Empirical results show that the relationship with the government has a significant impact on the resource security and the relationship with the industry has a significant effect on the diffusion of the performance. In addition, a public research institute was selected and case analysis was conducted to suggest policy implications for improving the technology transfer performance of universities and public research institutes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.2
• /
• pp.215-235
• /
• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.2
• /
• pp.636-662
• /
• 2018

Recently, the Moon administration established the Ministry of Small and Medium-sized Enterprises (SMEs) and Startups, as part of its national strategy for start-up and innovation growth led by small and medium-sized venture companies. In a slowing economy, as venture companies with excellent internal competencies are seen to be favorable to growth, the government funding for technology development is becoming increasingly important. Previous studies examine the internal competence factors that can strengthen competitiveness through self-efforts and the influence structure of growth stage, which is an important factor in industrial environment, on business performance. As the government support for venture firms has been strengthened, the effect of government funding on the management performance and technological innovation performance of venture firms have been recently discussed in various ways. However, there is a lack of precedent research on the moderating effect of the utilization of government funding on the existing influence structure in which firm's internal competence and growth stages affects business performance. Therefore, this study examined whether the internal competencies of the venture firms and the stage of growth have direct effects on business performance and analyzed the moderating effect in connection with government funding utilization under these influence structures. The results of the study are as follows. First, the utilization of government funding in the venture firms whose R&D personnel ratio is relatively low, not to have own brands and showed an increase of employees has a significantly positive influence on business performance. Second, the moderating effects of the government funding utilization at the high growth stage of the venture firms are shown significantly. These results suggest that the venture policy linked to the job creation of the present government requires not only the support considering R&D personnel but also the necessity of supporting human resources policy to a greater extent and further study on the effectiveness of venture firms in the high growth stage.