• Journal of Information Management
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• v.33 no.4
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• pp.107-128
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• 2002

The purpose of this study is developing a information support system for R&D decision making to maximize economic results of the R&D. This system is composed of studying the model of work flow for R&D decision making, analyzing a technology information, connecting with the databases from KISTI and others, and valuing R&D technology on line. Especially in the case of technology valuation, this system is combined with the valuation model which supports knowledge information for helping more objective estimation.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.1-48
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• 2009

Recently we have found some symptoms that R&D fiscal incentives might not work well what it has intended through the analysis of current statistics of firm's R&D data. Firstly, we found that the growth rate of R&D investment in private sector during the recent decade has been slowdown. The average of growth rate (real value) of R&D investment is 7.1% from 1998 to 2005, while it was 13.9% from 1980 to 1997. Secondly, the relative share of R&D investment of SME has been decreased to 21%('05) from 29%('01), even though the tax credit for SME has been more beneficial than large size firm, Thirdly, The R&D expenditure of large size firms (besides 3 leading firms) has not been increased since late of 1990s. We need to find some evidence whether fiscal incentives are effective in increasing firm's R&D investment. To analyse econometric model we use firm level unbalanced panel data for 4 years (from 2002 to 2005) derived from MOST database compiled from the annual survey, "Report on the Survey of Research and Development in Science and Technology". Also we use fixed effect model (Hausman test results accept fixed effect model with 1% of significant level) and estimate the model for all firms, large firms and SME respectively. We have following results from the analysis of econometric model. For large firm: i ) R&D investment responds elastically (1.20) to sales volume. ii) government R&D subsidy induces R&D investment (0.03) not so effectively. iii) Tax price elasticity is almost unity (-0.99). iv) For large firm tax incentive is more effective than R&D subsidy For SME: i ) Sales volume increase R&D investment of SME (0.043) not so effectively. ii ) government R&D subsidy is crowding out R&D investment of SME not seriously (-0.0079) iii) Tax price elasticity is very inelastic (-0.054) To compare with other studies, Koga(2003) has a similar result of tax price elasticity for Japanese firm (-1.0036), Hall((l992) has a unit tax price elasticity, Bloom et al. (2002) has $-0.354{\sim}-0.124$ in the short run. From the results of our analysis we recommend that government R&D subsidy has to focus on such an areas like basic research and public sector (defense, energy, health etc.) not overlapped private R&D sector. For SME government has to focus on establishing R&D infrastructure. To promote tax incentive policy, we need to strengthen the tax incentive scheme for large size firm's R&D investment. We recommend tax credit for large size film be extended to total volume of R&D investment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.436-446
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• 2018

The purpose of this study is to examine the priorities of innovation activities, business performance, and maximization factors of SMEs. Support programs for each government department are operated by various industries. Various supports, including subsidies, grants, marketing, planning, and education, are provided to each company. Therefore, this study aims to analyze and identify the priorities of innovation activities that have a positive effect on business performance. The efficacy of the proposed model and the psychometric properties of structure were analyzed using the analytic hierarchy process (AHP). The hierarchical structure of corporate innovation activities are composed of 'R&D' and 'government support', and 'Inside R&D, Outsourcing R &D, Consortium R&D'. As a result of analyzing companies that received more than one type of R&D government support, it can be seen that 'government support' (72.1%) is more important than 'research and development' (27.8%). In addition, this study found key sub-factors loadings including Assistant Support (30.1%), Tax Support (22.7%), Funding Support (18.8%), Inside R&D (10.8%), Outsourcing R&D (10.3%), and Consortium R&D (7.2%). Analysis results suggest that the priorities of detailed innovation activities of R&D and government support affect product innovation and process innovation, which in turn, influence business performance and maximization of SMEs. This implies that SMEs who want to participate in the government support project will be helpful in setting the direction of innovation activities. This study also suggests the importance of strategic priorities among the decision elements for CEOs.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.663-683
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• 2018

This study aims to analyze the effectiveness of R&D tax credit for SMEs. We surveyed to collect the information on firm's financial statements and R&D tax credit during 2014-2016, and implemented fixed effect model, random effect model and panel negative binomial model. The results show that the effect of R&D tax credit is 5.3 times larger in terms of R&D expenditure and 4.3 times bigger in terms of number of researchers than that of R&D subsidy. In addition, the effect of tax credit on non-metropolitan area companies is higher than that in the metropolitan area. Based on these results, we suggests three ways to improve the R&D tax incentive system for SMEs; To convert unused R&D tax credit of the start-ups to tax points, to exempt the minimum tax rate on R&D expenditure in equipment, and to unify the operation of various R&D tax credit institution.

• Management & Information Systems Review
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• v.32 no.1
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• pp.1-18
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• 2013

Previous studies related with the relationship between R&D and innovation have focused on the role of R&D on innovation, and the empirical results have been not consistent. Although government policy supports have been considered a crucial factor to make innovation, it is true that there are little studies investigating the moderating effects of government policy supports on the relationship between R&D and innovation. The studies related with government policy supports mainly examined the direct effects of government policy supports on innovation. Using 2008 innovation activity table from STEPI, this study investigated the effect of R&D on innovation and the moderating effects of government policy support on the relationship between R&D and innovation. The data used in this study contains 532 Korean small and medium sized firms and information was collected over 3 years(2006-2008). The empirical results reports that R&D positively influences innovation and the moderating effects of government policy on the relationship is statistically significant. Therefore, This study suggests that R&D is required to firms for innovation and government policy supports are needed for connecting the R&D and innovation.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2011.06a
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• pp.345-362
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• 2011

국가 성장동력의 밑거름이 되는 R&D의 중요성이 높아짐에 따라 정부의 R&D 투자는 해마다 큰 폭으로 증가하고 있다. 정부 R&D 투자가 급증함에 따라 동시에 R&D의 효율성에 대한 문제가 제기되어 그 동안 R&D 효율성을 향상시키기 위한 많은 연구가 이루어졌다. 하지만 R&D 전주기 Plan-Do-See 관점에서 살펴보면 대부분의 연구가 기획(Plan)과 성과확산 및 사업화(See)의 문제해결을 통한 생산성 향상 전략 마련에 국한되어 온 것이 사실이다. 국가연구개발사업은 그 사업의 목표, 추진방법, 추진주체, 연구성과, 사업규모, 사업기간 등 다양한 특성에 따라 성공적인 사업운영을 위해 차별화된 관리 지원 시스템(Do)이 필요함에도 불구하고, R&D 효율성을 향상시키기 위한 R&D 지원시스템 관련 논의는 활발하게 이루어지지 않고 있다. 본 연구에서는 다양한 특성을 보유한 국가연구개발사업의 효율성을 향상시키기 위해 국가연구개발사업을 연구기간과 연구비에 따라 크게 4가지로 분류하여 각각의 R&D 특성을 고려한 R&D 지원시스템을 도출하고 그 발전방향을 제시하고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2012.11a
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• pp.361-373
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• 2012

지역 R&D 혁신생태계를 조성하고자 정부는 부처별로 다수의 지역 공공 R&D조직들을 다투어 구축하고 있다. 현재 지역 공공 R&D조직은 그 역할과 기능이 명확하지 않고, 지자체는 지역 실정에 맞는 지를 따지기 보다는 "일단 유치하고 보자"는 인식이 강하다. 조직의 구성원은 중앙정부 공공 R&D조직문화 및 운영방식에 익숙해져 있어서, 지역 공공 R&D 생태계와 상호작용, 협력메카니즘 구축에 여러 가지 어려움이 있다. 한국기초과학지원연구원은 지역연구자들에게 근거리 연구지원을 위해 전국에 9개의 지역센터를 운영하고 있다. 지역 R&D 혁신생태계 중 기초과학지원이라는 중요한 영역을 맡고 있다. 하지만, 현재 지역센터는 분석수요 대비 지역센터의 인력 및 인프라 미흡, 유지비용 부족으로 성장의 한계에 부딪힌 상황이다. 현재 지역센터의 역할 재정립에 대한 요구가 크다. 본 연구에서는 기초과학지원연구원의 지역센터에 대한 인터뷰 및 설문조사를 통해 지역 공공 R&D 조직의 역할과 기능에 대해 짚어보았다. 우선 지역센터의 현황과 문제점을 종합적으로 살펴보았다. 그리고 지역센터의 역할과 기능, 지역내 포지셔닝을 살펴보고, 실질적인 운영방안검토 및 새로운 역할과 발전전략에 대해 검토하였다. 본 연구는 앞으로 기초과학지원 연구원의 지역센터를 비롯한 지역공공 R&D조직은 국가차원의 당위적 수직적 역할 외에도 지역차원의 수평적 협력적 역할에 대해 새롭게 조명하고, 지역 관점에서 지역 공공 R&D 생태계와 지역산업까지 그 성과가 이어질 수 있도록 역할전환이 필요하다는 점을 제시하였다.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.48-79
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• 2016

Recently, to overcome the global economic recession and stimulate the sluggish economy, Korea government has adopted various policies designed to strengthen the innovative capabilities of its small or medium sized enterprises (SMEs). With our focus on ICT technology companies, this study empirically analyzes both the potentials and the limitations of the R&D information support programs which are part of these governmental efforts. Our goal is to generate insights and help develop policies based on evidence. In this study, we used statistics from 2014 on small or medium business technologies to analyze the effect that the government's R&D information support policy has had on the technological or economic performance of small or medium businesses. According to these research results, R&D support programs (assistance with R&D planning and provision of technological information) made available to small or medium businesses did have a significant correlation to technological investment. By contrast, R&D information supporting programs were found to have no direct, significant correlation to technological or economic performance. One exception was that programs that gained the benefits of R&D planning support did have a significant correlation to technological performance in the case of companies engaged in ICT research. The results of this study will provide various insights for policymakers designing policies to support technologically-driven small or medium businesses, including ICT-based companies. We anticipate that this study will be a particularly helpful guide to policy development for corporations or researchers that provide supportive information to small or medium businesses.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.847-866
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• 2015

As Korea strive to bolster their respective economies and to minimize the repercussions of the global financial crisis, policies for strengthening the innovative capabilities of small and medium enterprises have emerged as an important means for pursuing these governmental efforts. In this study, possibilities and limitations of R&D information support policy are researched empirically and implications are provided to enable evidence based policy. Futhermore, the effects of government R&D information support policy on the technological and economic performances of SMEs (small and medium enterprises) are analyzed by using survey results of SMEs technology statistics in 2014. According to the results, R&D information support program (SME R&D planning support program and technology information support program) provided to SMEs was significant for R&D investment. On the other hand, the program, did not exhibit any significant correlation to technological and economic outcomes of SME. The program was also found to have a significant correlation to SMEs' technological outcomes in the case of the specific groups of ICT technology category. I anticipate that the results of this study will serve as a guide to various policy-related issues for policymakers who are conceptualizing programs to support ICT technology-oriented SMEs, and I particularly hope that this study will provide various insights for companies and researchers in their efforts to build R&D information support program for SMEs.

• Journal of Technology Innovation
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• v.27 no.1
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• pp.1-43
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• 2019

The significance of SMEs (small and medium-sized enterprises) is gradually highlighted as we have entered the age of "New Normal." The South Korean government support these enterprises to boost economic growth and create more jobs. It also releases numerous policies such as national R&D projects and expanding tax incentive services particularly aiming at promoting dramatic investment in R&D and technological innovation. There is a sharp contrast regarding the efficiency of direct or indirect supports for encouraging R&D investment launched by SMEs depending on researchers. However, there has been little attempt to explore the optimal combination of two policy tools. Amid promoting affiliated governmental departments in charge of SMEs policies and constantly growing R&D investment, it is an appropriate time to discuss the medium and long-term direction for the optimal policy mix of direct and indirect supports. In this study, the author obtained 32 relevant studies published earlier in the domestic journals, explored literatures more systematically, and further conducted a meta-analysis. It is dedicated to summarizing relevant controversies and organizes them empirically beyond merely verifying whether policy support stimulates private R&D investment by SMEs. The meta-analysis showed that it would be effective to support as tax for large enterprises, while subsidiary support for SMEs. However, indirect support needs to be progressively increased as direct support primarily accounts for the entire R&D support for South Korean SMEs.