• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.129-129
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• 2017

In planning and evaluating government R&D programs, one of the first steps is to understand the government's current R&D investment portfolio - which fields or topics the government is now investing in in R&D. Analysis methods of an investment portfolio of government R&D tend traditionally to rely on keyword searches or ad-hoc two-dimensional classifications. The main drawback of these approaches is their limited ability to account for the characteristics of the whole government investment in R&D and the role of individual R&D program in it, which tends to depend on the relationship with other programs. This paper suggests a new method for mapping and analyzing government investment in R&D using a combination of methods from natural language processing (NLP) and network analysis. The NLP enables us to build a network of government R&D programs whose links are defined as similarity in R&D topics. Then methods from network analysis show the characteristics of government investment in R&D, including major investment fields, unexplored topics, and key R&D programs which play a role like a hub or a bridge in the network of R&D programs, which are difficult to be identified by conventional methods. These insights can be utilized in planning a new R&D program, in reviewing its proposal, or in evaluating the performance of R&D programs. The utilized (filtered) Korean text corpus consists of hundreds of R&D program descriptions in the budget requests for fiscal year 2017 submitted by government departments to the Korean Ministry of Strategy and Finance.

• Journal of the Semiconductor & Display Technology
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• v.14 no.3
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• pp.13-22
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• 2015

LED (Light Emitting Diode) lighting is gaining more and more market penetration as one of the global warming countermeasures. LED is the next generation of fusion source composed of epi/chip/packaging of semiconductor process technology and optical/information/communication technology. LED has been applied to the existing industry areas, for example, automobiles, TVs, smartphones, laptops, refrigerators and street lamps. Therefore, LED makers have been striving to achieve the leading position in the global competition through development of core source technologies even before the promotion and adoption of LED technology as the next generation growth engine with eco-friendly characteristics. However, there has been a point of view on the cost compared to conventional lighting as a large obstacle to market penetration of LED. Therefore, companies are developing a Chip-Scale Packaging (CSP) LED technology to improve performance and reduce manufacturing costs. In this study, we perform patent analysis associated with Flip-Chip CSP LED and flow chart for promising technology forecasting. Based on our analysis, we select key patents and key patent players to derive the business strategy for the business success of Flip-Chip CSP PKG LED products.

• Food Science and Industry
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• v.53 no.4
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• pp.410-421
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• 2020

Regarding a long-term strategic plan in the food and agriculture sector, R&D policies and investment trends in major overseas countries are reviewel. The importance of efficient resource management is emphasized along with continuous government support for R&D in the agri-food industry. In response to facing social issues such as climate change, food security, food safety, health, and environment, research and innovation agenda is mainly focused on harmony between economy and environment, human nutrition and health as well as animal and plant health, and an integrated ecosystem approach. Particularly in the food sector, public investment is generally made in food safety, nutrition and health, and private investment for food processing and manufacturing. Public-private collaboration is carried out in order to enhance the efficiency of R&D innovation and development strategies in the agri-food industry.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.87-105
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• 2015

This research confirms a non-linear relationship between R&D investment and performance of small and medium-sized enterprises and measures the adequate level as threshold value. Although previous studies did not consider the time lag and estimated indirectly the level using the R&D investment squared term, this study assumes 2 years time lag and uses the threshold estimation model to measure directly. We find that there is the S-curve relationship between the profit rate as R&D output and R&D intensity and the ratio of researchers to employees as R&D input. Also, we estimate the adequate levels of R&D investment, 6.4% for R&D intensity and 13% for the ratio of researchers to employees. This relationship and measurement of the level can offer basic facts and implications about R&D policy and strategy.

• Journal of Korea Technology Innovation Society
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• v.4 no.2
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• pp.127-142
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• 2001

This paper presents an econometric model for measuring basic research capacity index(BRCI) of each OECD countries and analyses the gap in terms of time lag measured and forecasted in connection with factor analysis and BRCI progress function. Based on the analysis, gross domestic expenditure on R&D(GERD), total R&D personnel higher education expenditure on R&D(HERD) and number of science and technical papers based on SCI are more effective than other factors to BRCI. Also, BRCI progress function shows that 29 years is needed for Korea to catch up the level of German's BRCI of year 1998. But, it's impossible for Korea to catch up US and Japan. Therefore, with restricted scientific resources, Korea's own strategy for strengthening basic research capacity is going to be more important in 21st century.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.05a
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• pp.473-492
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• 2001

This paper presents an econometric model for measuring basic research capacity index(BRCI) of each OECD countries and analyses the gap in terms of time lag measured and forecasted in connection with factor analysis and BRCI progress function. Based on the analysis, gross domestic expenditure on R&D(GERD), total R&D personnel, higher education expenditure on R&D(HERD) and number of science and technical papers based on SCI are more effective than other factors to BRCI. Also, BRCI progress function shows that 29 years is needed for Korea to catch up the level of German's BRCI of year 1998. But, it's impossible for Korea to catch up US and Japan. Therefore, with restricted scientific resources, Korea's own strategy for strengthening basic research capacity is going to be more important in 21st century.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.56-66
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• 2020

As the development of artificial intelligence (AI) technology spreads to various industrial sectors, diversity in AI utilization rapidly increases, creating rich user experience. In addition, AI is required to solve various social problems through the use of public data. The spread of AI utilization across all sectors will continue, covering such industrial and public demands. This article examines the domestic and international trends in AI utilization technologies and establishes the direction of research and development (R&D), which is highly consistent with Korea's AI policy. ETRI, which leads AI's national R&D, has used its experience to establish AI R&D implementation strategies as well as technology roadmaps for the utilization of AI to improve individual quality of life, continuous growth in society, industrial innovation, and the solutions to public societal problems. In addition, it has derived tasks and implementation strategies for developing AI utilization technologies in 10 major areas including medical services.

• Korean small business review
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• v.42 no.4
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• pp.147-172
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• 2020

This study presents the determinants of R&D efficiency as the focus on CEO's competency, which influences R&D competency and R&D efficiency. The research samples are 6,708 technology-innovation small and medium-sized enterprises (SMEs). The independent variable is the R&D competency(existence of R&D organization, level of R&D personnel, R&D personnel management, R&D investment), the dependent variable is R&D efficiency. The moderator is the CEO's competency(experience level in its own industry, technical knowledge level, technology management strategy, management ability). R&D efficiency measures the relationship between inputs(level of R&D personnel, R&D investment) and outputs(patent applications, prototype) by the DEA. and the determinant analysis uses Tobit regression. As a result of the analysis, the existence of R&D organization and R&D personnel management is positively significant, level of R&D personnel and R&D investment is negatively significant for R&D efficiency. The moderating effect of CEO's competency on the relationship between the R&D competency and R&D efficiency is significant determinants of CEO's experience(experience level in its own industry, technical knowledge level) and technology management strategy. The finding is to measure the efficiency of R&D performance, and to analyze its determinants as the moderating effect of CEO's competency, using the technology appraisal data. In the conclusion session, the limitations of the research and future research directions were discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.75-83
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• 2015

This article investigates the impact of SMEs' R&D expenditure, government R&D funding, the number of funded by Government R&D programs on the employment growth rate. This study also explores whether government R&D funding and the number of funded by Government R&D programs have interaction effects between SMEs' R&D expenditures and the employment growth rate. The results show that SMEs' R&D expenditure and government R&D funding have a positive effect on the employment growth rate. The rest of variables have no significant direct effects on the employment growth rate. The government R&D funding has a interaction effect between SMEs' R&D expenditures and the employment growth rate. Especially, the firm group of high-level innovation capabilities has a positive effect on the employment growth rate. The results explain that the government R&D funding influences SMEs' employment positively and the impact of the government R&D funding on employment is more effective in the firm group of high-level innovation capabilities. Therefore, Government provides differentiation strategy of R&D funding by innovation capabilities of SMEs and can maximize the employment.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.88-112
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• 2009

This study attempts to define IT high-level human resources and to investigate past IT high-level human resources development (HRD) policies in order to promote IT HRD policy efficiently. Benchmarking implications were derived from comparative studies of foreign high-level HRD policies and we suggest IT high-level HRD Policy in the framework of National Future Strategy. The results of this study are rich in implications for implementation of IT HRD related to national R&D road-map in the field of information technology, the supply spread maintenance and the vision change of high-level HRD to cultivate global competitiveness, IT-based Fusion Technology HRD, and R&D related HRD policies and action plans.