• 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.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.122-128
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• 2017

Korean government announced long-term railway safety investment plan for the safety improvement by 2020. But no research have been done about differential analysis on railroad safety investment and safety improvement. In this study, recent 10 year data on safety investments and accident data are analysed for the differential analysis. Three main safety investments are analysed on regard to accident rate and accident fatalities. Three safety measures include level crossing accident, platform fatalities, and track trespass fatalities. About 90% of railway accident fatalities are caused by these three kind of accidents. Differential analysis shows about 4 to 6 years delay after railroad safety investment and safety improvement. This result can be utilized for the decision making on safety measures and safety target. Which required long term approach.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.3
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• pp.41-61
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• 2004

The purpose of this paper is to construct $\ulcorner$CIDEAR(Cross Impact-DEA-AR)$\lrcorner$ model which evaluates proposed R&D projects considering cross impact among them and selects proper projects to utilize resources efficiently as well as to maximize efficacy of investments. For this purpose, $\ulcorner$CIDEAR$\lrcorner$ model is designed as the following six steps. $\ulcorner$Decision Theory Evaluation Model$\lrcorner$ is for setting and selecting the evaluation items according to the structured procedure of evaluation system. The priority of items is decided at $\ulcorner$AR Decision Model$\lrcorner$$\ulcorner$Cross Impact Estimation Model$\lrcorner$ is for computing the final probability of success and the result is used to revise the evaluation results of $\ulcorner$Decision Theory Evaluation Model$\lrcorner$. $\ulcorner$Resource Performance Analysis Model$\lrcorner$ classifies the proposed R&D projects on the basis of required resources and expected performance. Consequently, the possibility of bias of project selection can be prevented. $\ulcorner$Priority Oder Decision Model$\lrcorner$ is for computing the efficacy of proposed projects. Finally, $\ulcorner$Efficacy-Efficiency Cause Analysis Model$\lrcorner$ analyzes the structure of efficacy and efficiency of the projects. The major findings and significances of this study are summarized as follows: (1) $\ulcorner$CIDEAR$\lrcorner$ model can deal with the affairs of R&D projects having the characteristics of mutual independence as well as mutual dependence in the point of efficacy and efficiency. Hence, it is possible to evaluate and select R&D projects more accurately. (2) It can be possible to raise the possibility of projects success. R&D manager can use the information for project management because the efficacy-efficiency structure of selected projects can be analyzed. (3) We proved the usefulness of the constructed $\ulcorner$CIDEAR$\lrcorner$ model using an case about twenty-one R&D projects of a leading company of electronic industry in Korea.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.29-47
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• 2016

The government has been implementing the preliminary feasibility study to examine previously a plan of the national R&D program submitted by each government ministry or institution and decide whether to reflect its budget. However, although R&D investments obviously have a different contribution depending on the different types of project, the current system applies the average R&D contribution rate to whole industry across the board in order to estimate benefits of the creating value from the R&D activity. This system in turn will cause a distorted result in the economic feasibility analysis. Therefore, this paper conducts an empirical analysis on the ICT R&D contribution for the creating value added, on behalf of all industries, through the growth accounting method and explores an applicability of the differential R&D contribution rate as an alternative by comparing to the existing R&D contribution rate. The result of this paper shows the ICT R&D contribution rate is 48.2%, and we can find out there is a significant difference compared to the existing R&D contribution rate. In light of this, it is necessary to adopt carefully the differentiated R&D contribution rate considering project characteristics.

• International Commerce and Information Review
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• v.15 no.3
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• pp.225-243
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• 2013

This paper analyses the effects of innovation and openness on productivity in Korean firms using company innovation index which issued by STEPI in 2012. The data contains 296 companies which are registered in Korean stock market. I observed that the effect of past R&D investments on innovation is significant than current R&D investment. The regression results show that company innovation index has significantly positive effects on the firm's revenue. The firm size and the openness also have an important effect on the firm's revenue.

• The Journal of Information Technology
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• v.6 no.3
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• pp.75-85
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• 2003

It is highly required to evaluate the economic value of technology in many decision making of the technology management area, for example, technology acquisition, transfer, and investments. Also evaluating the performance of R&D objectively is very important subject in the public side. So, developing the objective technology evaluation system has much usefulness in practice. In many studies, the patent information has been suggested to the valid measurement for evaluation of technology. The purpose of this study is to explore the validity of patent information as a measurement of technology evaluation.

• Journal of the Korean Solar Energy Society
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• v.32 no.5
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• pp.18-24
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• 2012

This study is to propose the quantitative methods instead of total results on New & Renewable energy R&D investments. To do that, this study used KETEP R&D investment profile, National R&D investment profile, and ISTANS industrial census results. From the analysis, this study firstly showed that the R&D investment on New&Renewable energy is higher than that of other industrial parts. And the investment increase ratio on New&Renewable energy is also very higher during past 10 years. And finally showed that the ripple effects(relatively the employee number, the amount of sales, and the amount of export) of the focus energy group including feul cell, photovoltaic, and wind power was higher than those of general manufacturing industry. This approach was firstly conducted using the poor census results, so other analysis methods will be developed and performed to exact;y show the investment ripple effect.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.233-263
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• 2015

This study considers the improvement of R&D promotion program and its investment efficiency for regional industry. We find out some problems of R&D promotion program and suggest plans to improve investment efficiency of R&D through practical analysis of achievement. Since the 2000s, our country has implemented diverse policies for regional industry; R&D for regional industry has become a core part of business from the point of view of regional industry. As ever, these policies are highly supported for the purpose of securing industrial competitiveness by the central government and local governments. This study, through practical analysis of certain region (Jeonbuk), reviews some problems of R&D promotion program and suggests plans to enhance the achievements of a variety of policies, strategies, and projects. We perform practical analysis using three methods for three different aspects: shift-share analysis for each industry type, performance analysis for each investment type and characteristic analysis for each company type. Reviewing the results of practical analysis, we suggest some plans to promote the collaboration of main R&D support organizations and to minimize the doubleness caused sporadically by the central government and local governments. This research will be used effectively in setting up, implementing, and evaluating R&D investments for regional Industry.

• Journal of Energy Engineering
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• v.18 no.2
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• pp.75-86
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• 2009

This paper studies examines the R&D efficiency in Korean energy industry by making multiple logistic regression of the product technological level with firms' endogenous technological efforts and cooperations for R&D between upstream and downstream firms. The technological level of Korean energy industry is analyzed to have been positively influenced by economy of scale effect and cooperations for R&D between upstream and downstream firms, but negatively impacted by firm size, and not impacted by competitive market structure, R&D investment, and R&D manpowers. The implications of this study are as follows: i) to heighten the technological level, domestic market would be transformed to be more competitive; ii) Korean Energy industry should make efforts intensifying R&D-related manpowers and investments; iii) although the firm size is analyzed to have negative impact on technological level, firms, lager or smaller, must be supported to accumulate technological capabilities; iv) R&D-cooperating efforts between upstream and downstream firms on the value-chain should be supported.

• Journal of Marine Bioscience and Biotechnology
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• v.6 no.2
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• pp.84-101
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• 2014

The aim of this project is to develop an adaptive and collective National Marine Biotechnology Plan for the next decade(2014~2023) which is able to reflect current and future changing environment. This effective strategy targets to foster marine-derived active bio-materials, marine bioenergy production technology and many promising technologies in order to promote marine biotechnology industry as a next-generation growth engine. Marine biotechnology industry based on R&D activities since 1980 has been growing as an emerging industry. This new field enables to secure exclusive patent rights and to find new potential bio-active materials from the ocean that requires long-term aggressive R&D investments. The current policy direction is to raise appropriate level of R&D investment because the current Korea's national marine biotechnology R&D fund ratio is less than 2% of the total national biotechnology R&D budget. The result shows three major strategies. First, it recommended a research implementation system and supporting policy that includes establishment of open innovation framework for the 'Industry-Academia-Research Institute Collaborations', strategic research planning and enhanced policy making process. Second, it derived state-of-the-art or new technology in many areas. Third, it formulated more detailed execution plans for successful R&D support and set up performance indicator system in related R&D program.