• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.334-339
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• 2008

Nowadays national research and development fund is continuously increased. And the evaluation on the feasibility of R&D budget investment was carried out. Through this study it was possible that a business feasibility evaluation of large scale research project. Also the benefit of research project about large scale plant(A plant) is $2.67{\sim}3.76$ times of research funds, and the R&D fund pay-back period is $6{\sim}8$ years. And also there is employment effect as $1,200{\sim}2,200$ every year, and $22,000{\sim}35,000$ within 20 years after research project.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.25-43
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• 2013

Two of the most important changes in the global market can be represented with Hyper-connection and Glocalization. To cope with these changes and secure the competitive advantages, it is essential to develop the standard organization, policy, processes and criteria for service management. In addition, the service management system is required to effectively support the R&D project management. In this research, an adaptive framework and system architecture for designing R&D project management process using cloud computing has been introduced. With the proposed system, it is able to overcome the limitations of traditional service management and treat the demand from the market in agility. Moreover, it may be possible to present more value than customers want and secure the competitive advantages in the global market with the proposed system.

• Journal of the Korea Safety Management & Science
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• v.18 no.1
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• pp.209-217
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• 2016

This study with the aim to develop a system that can be objectively measured and evaluated as a scientific support and of R&D. To this end, this study aimed at companies participating in the development of national technology transfer support program for SMEs examined the factors affecting performance. By developing metrics that meet the business objectives refer to the applicable national and international case studies and literature reviews, etc. In order to achieve the systematization of technology evaluation index, which was selected indicators. To evaluate the weight through the duality comparing selected indicators in order to take advantage of the AHP analysis conducted targeted surveys.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.45-59
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• 2021

As software(SW) has been considered as a key driver of the fourth industrial revolution, significant R&D investment has been made by Korean government. Despite the attention and support by the government, systematic analysis on the SW R&D efficiency has not been fully addressed. In this study, the efficiency of SW national research and development projects was analyzed using Data Envelopment Analysis(DEA) techniques. Efficiency was measured from both static and dynamic perspectives based on 1,463 projects conducted by the National IT Industry Promotion Agency(NIPA) from 2008 to 2018. The static efficiency analysis identified the causes of inefficiency as scale and technology problems. As a result of dynamic efficiency analysis, we present a sector-specific response model using an efficiency-stability matrix. This study is meaningful in that efficiency analysis was conducted on the entire SW national R&D project, and static/dynamic efficiency analysis results are expected to be used as a guideline for planning SW national R&D project.

• International Journal of Quality Innovation
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• v.2 no.1
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• pp.58-68
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• 2001

Six Sigma was introduced into Korea in 1997, and it is regarded as a fascinating management strategy in many Korean companies. First of all, the reasons why Six Sigma is fascinating are given and a smart way to introduce Six Sigma is illustrated. Seven step procedures to introduce Six Sigma are explained. Next, the differences of problem-solving processes for project team activities for R&D, manufacturing, and service areas are compared. Third, a typical process for R&D Six Sigma is proposed, and major activities and scientific methods at each process step are suggested. Fourth, some differences between Six Sigma project team and quality circle team are presented. Finally, a Six Sigma model for e-business is proposed and briefly explained.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.171-180
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• 2014

This study is about effects of government R&D subsidies program participation factor for SMEs R&D performances. Currently, Government R&D subsidies program has been operating in various forms, and each company subsidies, facilities, equipment, personnel and training have been supported. Each of the companies is also involved with various factor of support to participate in the subsides program. Therefore, This study verifies the hypotheses that after government R&D subsidies program of project implementation, various participation factor of companies have an effect positive impact on business management skills of administrative performance. Also, This study verifies the hypothesis of an influence on the R&D investment and the technological capability of technical performance. Through such a analysis results will help to carry out guide for strategic R&D performance management of government R&D subsidies program participation companies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.1 no.2
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• pp.27-65
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• 2006

This study reviews the success cases of National Research&Development Projects such as TDX and CDMA projects at the catching-up stage and FTTH technology development project at the post catching-up stage. First, we investigate why the success model of national R&D projects at the catching-up stage failed to operate properly at the post catching-up stage, and then we propose improved policies for a successful national R&D project at the post-catching up stage. From the comparison of FTTH development case at the post catching-up with TDX and CDMA cases at the catching-up stage, we observed that at the catching-up stage 1) there are high uncertainties in technology development and it is very difficult to establish technology standards, 2) it is difficult to conduct government driven R&D and to develop a market for the technology developed, 3) it is difficult to share a vision among the participants in the H&D consortium, and 4) commercialization of the technology developed from the project was carried out by SMEs and venture businesses with little marketing capabilities. Also, we discuss the national level technology development strategies and the role of the government for a successful national research and develop project at the post catching-up stage.

• 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 Technology Innovation
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• v.20 no.3
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• pp.229-253
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• 2012

There has been various government SME R&D programs and the increase of budget which amount to 15.8% CAGR over the last 10 years, in order to support the research and development of SMEs which accounts for over 99% of our nation's total number of companies. To investigate the factors which affect the ROI of the Government R&D project for SMEs, we conducted Tobit and Logistic regression analysis on the 1237 projects of 'Technology Innovation Program for SME' which is one of the major programs of the Korea Small and Medium Business Administration. The empirical results of this study are as follows. Application or registration of patent or certification while performing the project, positively affect the financial performance of the government R&D project. And we can also find that, according to the technology field, patent and certification have a markedly different effect on ROI of the project. The results of this study suggest that planning, evaluation, and managing of government SME R&D project should be performed with the consideration of the effect of patent and certification on the economic performance, according to the technology field of the project.

• 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.