• Journal of Korean Academy of Nursing Administration
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• v.22 no.1
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• pp.67-79
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• 2016

Purpose: To develop strategies for research and development (R&D) in nursing service based on the policy direction of government supported R&D in Korea. Methods: This was a descriptive study to develop strategies for promoting R&D in nursing by analyzing investment trends and status quo, policy directions, and implementation of the details of government supported R&D through government reports, websites of relevant agencies and literature reviews. Results: Few nursing experts participated in clinical research on overcoming major diseases and in R&D for well-being and care. Development of nursing topics that meet the direction of government supported R&D were lacking. Insufficient implementation of nursing service R&D in a timely manner equipped with a performance-based system. Few research studies in R&D projects that included research using big data or contributing to developing medical instruments. Finally, an insufficient number of nursing specialists participated on government R&D advisory committees. Conclusion: For nursing service R&D development efforts should be toward quantitative expansion and qualitative improvements by sensitively recognizing policy direction of government supported R&D. The promotional capacity of nursing service R&D must be reinforced through a multidisciplinary approach and collaborative association with other professionals and the inclusion of nurse specialists on government R&D advisory committees.

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.706-726
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• 2007

This study attempts to empirically investigate the effects of government R&D subsidies on private firm's R&D investment in Korean industry. The R&D subsidy effect is defined as the average percentage change in firm's R&D expenditures between what was actually observed among firms that received a subsidy and what these firms would have spent had the subsidy not been received. To measure the effect we use Difference-in-Differences (DID) model which sign as to whether the relationship between government subsidies and private R&D investments is on stimulating or displacing private R&D expenditures. The differences between this study and previous studies are that we tries to measure the effect of Government R&D across various sited firm groups such as large, small & medium, and venture firms and we add one lag of the subsidy indicator in order to capture the effect of the subsidies on private R&D during 2 consecutive period. Empirically, a firm with government R&D subsidy increases its own R&D investment by 13.9%. Also on average, 1% of government R&D subsidy leads to 0.031% of private R&D increase. The main results of this study are as follows : First, Government R&D subsidies stimulate private firm's R&D expenditures. Second, Government R&D subsidies greatly increase (statistically significant) company financed R&D expenditures only for large firms but had no effect on the R&D expenditures of small & medium sized firms and venture firms.

• 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.

• 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.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.281-294
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• 2021

Purpose - The purpose of this study was verifying the policy effects by field of innovative growth engines, focusing on the discussion of the relationship between government support and corporate R&D activities (substitute/complementary goods), and based on the results, policy recommendations for promoting private R&D were carried out. Design/methodology/approach - Through literature research, academic/theoretical discussions about relationship between government support and corporate R&D activities were synthesized. Next, survey data were collected for companies engaged in the field of innovative growth engines and empirical analysis was conducted on the relationship between government support and R&D activities in 13 major sectors. Findings - First, as a result of analyzing all companies regardless of sector, government R&D subsidies had a positive (+) relationship with R&D activities of companies engaged in innovative growth engines, that is, a complementary relationship. Next, as a result of performing empirical analysis by dividing the 13 fields, it was found that 9 fields were complementary goods in which government support had a positive (+) effect on the R&D activities of companies. On the other hand, in the remaining four fields, the effect of government support on corporate R&D activities was not statistically significant. Research implications or Originality - In order to promote R&D activities of companies in the 9 fields where government support acts as a complementary product, it is necessary to establish policies centered on direct government support. On the other hand, it would be more desirable to seek indirect support rather than direct support in the 4 fields where government support did not have a statistically significant effect on corporate R&D activities.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.177-188
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• 2020

Purpose - The purpose of this study was to examine the effect of government R&D programs on firm innovation activities. Design/methodology/approach - This study analyzed survey data on innovation survey in Korea. To investigate our research hypothesis we used ordered logit regression analysis. Findings - This study unveils different effects of diverse government R&D programs on firm innovation activities. Most of government programs-R&D tax incentives, information/training, and marketing supports-have positive effects on management innovation activities and negative effects of the usage of procurement programs on management innovation efforts. Some government programs-R&D tax incentives, R&D grants, information/training-have positive effects on technological innovation activities. Research implications or Originality - This paper investigates the effects of diverse government R&D programs on technological and management innovation activities. We examine simultaneous effects of multiple government R&D programs rather than effects of independent R&D programs. This result can contribute to develop more effective government R&D programs to support firm innovation activities.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.29-42
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• 2010

To improve the performance of R&D investments, government has taken great efforts for advancing the structure and process in R&D systems. However, due to the drastic internal/external changes in the technological environment and the steady increase of investment scale, the necessity for a innovative approach which accomplishes returns to scale through the utilization of various external resources is emerging. In this regard, open innovation approach can minimize the possibility of government failures by strengthening the absorptive capacity of external resources and enhancing the cooperation and participation of diverse innovative participants within the R&D system. This paper evaluates the previous researches and government policies concerning the performances of government R&D investments, and presents the connectivity between open innovation and its possible contribution to the improvement of R&D investment performances.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.39-50
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• 2022

Based on the signaling theory, this study examined whether startups are more likely to attract venture investment when receiving government R&D subsidies. First, we reviewed previous studies of the investment decision-making process of venture capitalists and understood the conditions that influence investment decisions. Based on previous studies on the signal effect of government subsidies, particularly government R&D grants, on inducing private fund investment, this study revealed a mechanism to induce venture investment by startups. In addition, in order to verify whether government R&D subsidies have the effect of inducing venture investment, an empirical analysis was conducted based on data from startups under seven years and certified as a venture companies in 2021. This paper used PSM(Propensity Score Matching) method and DID(Difference In Difference) analysis for an empirical study to analyze the average treatment effect on the treated group(beneficiary startups of government R&D grants). As a result of empirical analysis, companies that receive more government R&D subsidies after starting a business are more likely to attract venture investment. From two to three years after conducting the first government R&D project, startups that received government R&D grants attracted more venture investment than those that did not. The results of this paper demonstrate that government R&D projects can also affect the venture investment ecosystem, giving policy implications to government R&D projects targeting startups. It is also expected to suggest strategic implications to startups that need new funding.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.200-208
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• 2009

Trend of R&D expenditure in Korea during the last 10 years, the R&D expenditure has been constantly increasing at an average rate of 10%. The government R&D ekpenditures or subsidies are increasing rapidly But the studies of evaluating impact of government R&D subsidies are few. This study attempts to empirically investigate the effects of government R&D subsidies on private firm's R&D investment in Korean industry by using Propensity score matching method which sign as to whether the relationship between government subsidies and private R&D investments is on stimulating or displacing private R&D expenditures. Empirically, a firm with government R&D subsidy are 733 million dollar more expenditure then don't receive any government R&D funding. Also Government R&D subsidies greatly increase (statistically significant) company financed R&D expenditures only for large firms but had no effect on the R&D expenditures of small & medium sized firms and venture firms.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.95-124
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• 2021

Startups play an important role in economic growth and job creation in niche markets, thus governments regularly expand their research and development(R&D) budgets accordingly. As stratups are more dependent on governments to compensate for insufficient resources and capabilities than large and medium-sized companies, trust in government policies will be important. In this study, we analyzed the impact of startups' trust in government R&D policies on innovation performance. There were three major results. The first result is that government R&D investments in startups increase innovation performance in the manufacturing and high-technology industries but did not affect other industries. The second result is that trust in government R&D policies increased innovation in high-and medium-high technology and manufacturing industries. The third result is that trust in government R&D policies affects innovation before, during, and after evaluation of support process. We analyzed the importance of trust to the effectiveness of government R&D support to determine how to effectively provide it. The results show that governments need to differentiate the types of R&D support they provide according to the target firm's technology level and whether they are a manufacturing company and that appropriate R&D support mechanism should be developed for low-technology and non-manufacturing companies. Finally, governments should allocate resources and make fair and transparent decisions to help companies grow, not to better supervise them.