• Journal of Technology Innovation
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• v.14 no.3
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• pp.237-261
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• 2006

Under circumstances with increasing uncertainty, strategic flexibility has become an essential point on which my R&D management system should be based. Unfortunately the present R&D management system for government sponsored R&D programs cannot be said to be so flexible to adapt appropriately to various threatens such as technological failure, a severe change in competition environment, and so on. In this paper a new scheme for R&D planning and economic assessment with strategic flexibility is suggested and applied to a real R&D program. In the newly suggested R&D management system, economic valuation based on real option theory is performed for various alternative scenarios which have different strategic scheme for R&D process each and the result of the assessment is fed back to R&D planning to choose more superior strategic scheme. Introducing strategic flexibility into R&D planning and economic assessment, the value of R&D project could be remarkably enhanced.

• STI Policy Review
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• v.2 no.3
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• pp.35-44
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• 2011

Korea has rapidly increased R&D investment over the last few decades and the intensity of R&D investment is among the highest in the world; however, there are serious concerns about R&D performance and R&D efficiency. This study is to improve the economic assessment methodology regarding a feasibility study for national R&D programs that are thought to be one of the most prominent ways to enhance R&D efficiency. In order to improve the methodology of economic assessment, a few of important factors such as technical or market uncertainty, spillover effect, and R&D contribution ratio should be covered in the model. The focus of this article is technological and market uncertainty that has a close relation with strategic flexibility and utilization potential to increase the value of R&D programs. To improve the current linear and definitive R&D process, a new framework with strategic flexibility is suggested, in which the result of economic assessment that considers technological and market uncertainty is reflected in planning. That kind of feedback process is expected to enhance the value of the program/project as well as R&D efficiency.

• Spatial Information Research
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• v.20 no.2
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• pp.81-92
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• 2012

Recently, it is very important to create economic value as well as develop core algorithms and technologies in the field of R&D. Various R&D projects make an effort to do the technology commercialization of their results and, as part of efforts, many studies on business model(BM) are conducted to create economic benefits in using the developed technology. However, it is difficult to use the general business model methodologies, which are usually utilized for companies, to the government's research due to different processes and characteristics between them. And for the practical application of business models, it needs to systematize conceptual business models in technical perspective through technical architecture analysis. In this study, a business model development process and a technical architecture analysis for national R&D project is developed for the technology commercialization. In addition, the process is applied to Korean Land Spatialization Program (KLSP) organized by Ministry of Land, Transport and Maritime Affairs to verify the feasibility of its practical application.

• Journal of Technology Innovation
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• v.31 no.1
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• pp.149-173
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• 2023

The purpose of this paper is to analyze the effect of government R&D subsidies on business performance of SMEs in the field of Land, Infrastructure, and Transport. To this end, based on domestic and foreign literature, the performance derived through R&D was classified as primary and secondary parameters, and the commercialization program operated by the government was set as a moderating variable. Regression analysis, double mediation analysis, and moderated mediation effect analysis were used to confirm the effect of government R&D subsidy on project performance and process. As a result of this study, it was confirmed that government R&D subsidies have a significant effect on corporate management performance, and it was confirmed that the primary performance such as papers and patents and the secondary performance such as prototypes and legislative revisions have a double mediating. In addition, when the commercialization program was applied to the first and second parameters, it was confirmed that it played a moderated mediating effect. The results of this study are expected to be used when establishing government R&D support plans to expand business performance and economic effects in the future.

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.184-203
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• 2010

Based on the figure of Program's result, the measurement of National R&D Program efficiency cannot have reflected its characteristic. This study explores the way to integrate evaluators' recognition into program efficiency as a means of embodying its characteristic. As a way of integrating their recognition with evaluating efficiency, two methods are applied. One is AHP as for evaluators recognition and the other is DEA as for measuring efficiency. This study tries to show the effect of evaluators on program efficiency and compares the result with one which did not include their recognition. The study also implies that the recognition of evaluators should be considered when the program efficiency is measured. Furthermore, this study suggests that the participation and role of evaluators should be expanded into evaluation of program efficiency.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.3
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• pp.101-112
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• 2021

SpaceX shows various strategies such as constructing various payload portfolio through the reuse of Falcon 9 and Falcon Heavy, constructing the launch vehicles using one type of engine, the transition from kerosene engine to methane engine, and the use of 3D printing. In this study, launch vehicle proposals that can cover a variety of payloads and trajectories from KOMPSAT to GEO-KOMPSAT were constructed, and ten launch vehicles using kerosene gas generator cycle engine, kerosene staged-combustion cycle engine, and methane staged-combustion cycle engine were reviewed. Of the ten launch vehicles, the reusable launch vehicle using a 35-ton methane engine was rated as the best in terms of development potential.

• Journal of the Korean Regional Science Association
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• v.32 no.4
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• pp.3-18
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• 2016

National research and development(R&D) project plays an important role in the economic growth of a country as well as a company. This article aim to examine the development of the performance evaluation framework for assessing the contribution of national research and development(R&D) program to productivity growth. The main idea of this paper begins with the employment of between-group analysis for evaluating the returns to R&D. The method of this study is based on the comparison of productivity growth between different groups with time series data, not cross-sectional approach with one period. In these regards, backward effect and forward effect are operationally defined as a measurement for contributions of R&D in this study. The results of analysis gives that the outcomes of between-group analysis shows the lower performance of R&D compared to the within-group analysis. while the difference was not especially evident with the case of operating profit variable, but sales variable.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.47-56
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• 2016

This study is on the actual analysis of R&D investment effect through DEA in terms of efficiency resulted from forestry sector climate change response R&D project. Namely, it is clarifying the mechanism of the scientific, technological, social performance result and output, depending on research development cost, employment size as same input. Also, it is in-depth analysis on which performance operates more efficiently in any detailed business. With the study result, we seek political implications to enhance investment effect and core element to consider R&D business project in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.29-37
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• 2009

National R&D programs play an important role in the development of a country in this age of the knowledge economy. Since many numbers of R&D programs compete for limited resources such as national R&D budget, the R&D program evaluation problem is a challenging decision-making problem faced by decision makers that deal with R&D management. In this sense, DEA(Data Envelopment Analysis) has been regarded as one of the most widely accepted methods to measure the relative efficiency of productivity of R&D programs. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units(DMUs) in a process which uses multiple inputs to produce multiple outputs. However, the sample of the R&D programs could consist of two or more naturally occurring subsets, thus exhibiting clear signs of heterogeneity such as different objectives. In such situations, the fairness of DEA is limited, for the nature of the relative efficiency of a DMU is likely to be influenced by its membership in a particular subset of the sample. In this study, we propose a methodology AI-DEA(attainment index DEA) allowing for reflecting decision maker's subjective judgement on difference among different subsets of R&D programs which have heterogeneous objectives. This methodology combines AHP and Delphi in order to decide the attainmnet index of each DMU for each outputs, and apply them to DEA model. We illustrate the proposed approach with a pilot evaluation of 13 programs involving 6 different subsets of Korean National R&D programs and compares the results of the original DEA model and AI-DEA model.

• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.145-168
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• 2004

In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement (DISR 2000, 20010, launched by the Australian Prime Minister in January 2001, commits an additional $3 billion overfive years to encourage and support innovation. The Australian Government aims to build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity. It develops policies and programs to enhance investment in innovation. The Australian Government has established a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around $400-million a year. This cost is expected to rise to over half a billion by 2005-06 (Commonwealth of Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.