• Journal of Technology Innovation
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• v.13 no.3
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• pp.131-151
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• 2005

Industrial Technology Development Program enables the recipient to set up technology infrastructure and to facilitate technology diffusion. In return, government charges royalty from the program recipient. However, the current royalty system is not in the effective form. This study analyzes the various aspects of royalty collection methods applied to the Industrial Technology Development Program and recommend the following: (1) employ the combination of fixed amount royalty and running royalty with predetermined portion of revenue generated, (2) adjust the royalty collection duration by applying product life cycle, and (3) devise new program to link extra-gain from royalty collection with commercialization and other means to increase the effectiveness of research and development activities.

• 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.

• Journal of Korea Technology Innovation Society
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• v.4 no.3
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• pp.255-274
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• 2001

This study aims to provide information about the priority setting and budget coordination of government R&D spendings in Korea. Based on the result of "Survey, Analysis and Evaluation of National R&D Programs"in FY 2000. this paper reviews the government R&D expenditures by the concerned variables such as program objectives, sector of performance, character of work and technology fields. It is found that R&D spendings on the areas of industrial development, information technology, and development research are funded pretty high. Also, it turns out that, considering program objectives and character of work, there are some redundancies of R&D programs among government agencies. Policy implications are suggested.

• Industry Promotion Research
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• v.8 no.2
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• pp.45-59
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• 2023

In response to the increasing global competition for technological supremacy to address climate change, it is crucial to develop workforce development programs in the field of climate technology to accumulate the national technological capabilities. However, these programs are rarely monitored and evaluated, and research related to monitoring and evaluation in the field of climate technology workforce development is limited. Therefore, this study aimed to investigate the impact of workforce development programs in hydrogen energy and policy sectors on students' R&D capabilities and career aspirations in these sectors. The survey and focus group interviews with beneficiaries revealed that individual students' R&D capabilities and career confidence improved, and group-level R&D capabilities were also enhanced, and students felt greater appreciation on the significance of climate technology. The results of this study suggest that the necessary R&D capabilities to train R&D workforce in climate technology have been developed, but more measures are required to promote career development in this field.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.64-71
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• 2016

Recently, nanotechnology has grown as one of the leading science technology along with other converging technologies such as biology, information, medicine etc., bringing the continuous investment of the government in nano-related field. However, it is difficult to measure and evaluate the performance of the national research and development programs because of the multidimensional character of the expected outcomes. This study aims to measuring efficiency of the national nanotechnology research and development programs using DEA model. The decision making units are nine nano-related ministries including the Ministry of Science, ICT and Future Planning. The input variables are total expenditure, number of the programs and average expenditure per program. The output variables are science, technology and economic indicator, and the combination of these outputs are respectively measured as seven different DEA cases. The Ministry of Science, ICT and Future was the first efficient ministry in total technical efficiency. Ministry of Agriculture, Food and Rural Affairs and the Ministry of Food and Drug Safety were efficient in pure technical efficiency, when the Ministry of Commerce Industry and Energy took the first in the scale efficiency. The program efficiency was affected by organizational characteristics such as the institution's scale, the concentration of the research paper or the patent, technology transfer or the commercialization. The result of this study could be utilized in development of the policy in the nanotechnology and the related field. Furthermore, it could be applied for the modification of expenditure management or the adjustment of the research and development programs' input and output scale for each ministry.

• Journal of Technology Innovation
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• v.8 no.2
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• pp.67-96
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• 2000

This study aims to provide information about the priority setting and budget coordination of government R&D spendings in Korea. Based on the result of "survey, analysis and evaluation of national R&D programs" in FY 1999, this paper reviews the government R&D expenditures by concerned variables such as program objectives, sector of performance, character of work and technology fields. This paper also carries out an analysis on the government R&D supports as ways for the promotions of high technology-based start-ups and SMEs and regional innovation activities. It is found that relatively high investment is made in the industrial technology areas and development research, and there are some redundancies of R&D programs among ministries and agencies in terms of technology fields, program objectives and character of work. Policy implications and future research directions are suggested.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.172-183
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• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.430-456
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• 2009

The industrial Technology Development Program enables the recipient to set up technology infrastructure and to facilitate technology diffusion. In return, government charges royalties to the program recipient. However, the current royalty system is not effective form. This study analyzes the various aspects of royalty collection methods applied to the Industrial Technology Development Program and recommends the following: a) to establish a royalty collection system with appropriate charges for both fixed royalties and running royalties, dependent upon type of technology development b) to seek a method to setup different collection periods for industrial categories in consideration of product life cycle c) to review on ownership of intangible property. In addition, in order to manage the entire royalty process effectively, prompt establishment is needed in order for a responsible evaluation institute to create task forces to evaluate technology value, to transfer technology, to support technology commercialization, to collect and manage royalty and expand and report result.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.759-775
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• 2006

Agricultural R&D Programs of the Ministry of Agriculture and Forest and the Rural Development Administration are important for improving agricultural technology in Korea. However, the roles of these two agencies have been overlapped as the research fields and funds are extended through educational-industrial-governmental-institutional cooperation programs. In this study, we analyzed the performances of two agencies. As a result, these programs of these agencies do not show much difference in the research area. A new direction for improving efficiency and solving problems of programs, with a variety of information about the role of two agencies and activation of agricultural R&D programs, will be provided by this performance analyses.

• Asia-Pacific Journal of Business
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• v.10 no.2
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• pp.1-12
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• 2019

Collaborative research and development (R&D) has been encouraged based on the belief that knowledge spill-over is mutually beneficial for partners. Although the benefits are supported by science and technology policy research, the risk of R&D collaboration has not been extensively discussed. Two independent studies suggest that there are risks associated with the overuse of collaborative research frameworks. Two sets of R&D collaboration data were analyzed: between the national bio-technology research program and 1) Data Envelop Analysis (DEA), and 2) between Stochastic Frontier Analysis (SFA). In the case of SFA, output measures were integrated into a single output, with weights extracted from research programme managers' responses to the questionnaire. While the DEA result demonstrated the inefficiency of collaborative research, SFA did not. Unlike previous research highlighting risks associated with disclosing proprietary R&D and potential conflict of interest, our study indicates that the transaction's social cost affects collaborative research efficiency. Therefore, governments promoting R&D collaborations should be carefully managed, and policy makers must reconsider the strict conditions governing compulsory collaborative R&D programs.