• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.308-319
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• 2018

This study is intended to develop evaluation indicators for the improvement and operation of R&D project management process. To achieve this, an empirical survey was carried out to small companies specializing in technology-centered R&D. First, 12 evaluation indicators showed that there was a deviation of more than 2 times from the highest score of 60.77 to the lowest score of 30 in integrated management, which the R&D project management process needs to be selectively used for the improvement and operation. Second, the difference in industry showed that the biotech industry was the highest, while the chemical, electrical and electronic industries were the lowest. Third, the difference in the number of employees showed that companies with 50~100 employees were relatively high, while small companies with more than 100 employees were somewhat low. Fourth, the difference in career showed that 5~7-year career was relatively high, while 7~10-year career was somewhat high. Overall, evaluation indicators for the improvement and operation of R&D project management processor showed that integrated management was the most important, followed by communication management, risk management, and time management. This implies that small companies specializing in technology-centered R&D need to concentrate on the importance of efficient integrated management and rapid decision-making and risk management among individual participation subjects.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.665-677
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• 2022

Purpose: The purpose of this study is to analyze the current status and investigate relevant indicators so that R&D performance evaluation suitable for government-funded research institutes can proceed. A suitable performance evaluation model was presented based on the surveyed indicators. Based on the presented performance evaluation model, the importance was analyzed to calculate the weight for each indicator of the performance evaluation model. Methods: The method applied in this study presented a performance evaluation model based on the organizational performance evaluation cases of advanced overseas countries. By using the AHP(Analytic Hierarchy Process) technique, the weight of each indicator of the performance evaluation model was studied. Results: As a result of examining the indicators necessary for the evaluation model, focusing on overseas cases, 13 evaluation items were derived. A weight was calculated for the importance of the study results. And the scientific/technical research results showed the highest excellence. Conclusion: Key indicators of performance evaluation suitable for government-funded research institutes were derived and presented through detailed modeling in three stages. A realistic model that can objectively evaluate the performance of government-funded research institutes was proposed using the AHP technique.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.259-266
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• 2021

This study is a study to systematize the R&D activities of social enterprises to derive a logical model of the R&D support policy, and aims to systematize the R&D activities based on the R&D demand survey and R&D activity analysis of social enterprises. R&D activities of social enterprises are at an early stage or are not systematic compared to general enterprises, so the process modeling method is used to group detailed activity elements to standardize and systemize them. As a result of the research, social enterprises are aware of the necessity and importance of R&D activities to secure competitiveness of products and services to increase social value, and because of their lack of R&D experience and capabilities, R&D specialized institutes (R&D planning institutes, government-funded research institutes), Universities, etc.) and are expected to improve R&D capabilities. The performance indicators of social enterprise R&D activities are derived in units of input-process-performance indicators through demand survey, activity analysis, and in-depth interview (FGI), and the logical model of R&D support policy is in the areas related to business strategy and performance.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.345-359
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• 2014

Technological, policy and economic factors are both important variables in maximizing the results of a national R&D program and key indicators in evaluating an R&D program's eligibility for financial support. Economic analysis, in particular, is used when selecting R&D programs, setting priorities, and estimating economic effects. This paper examines a series of methodological issues related to the economic analysis of national R&D programs within the framework of the current preliminary feasibility evaluation system, and proposes alternative approaches to each of the issues discussed. The issues include the definition of R&D valuation and establishment of valuation factors; estimation of sales attributable to R&D investment; assessment of the total economic value of R&D as intellectual assets; estimation of R&D benefits and assumption of related to sales; and the application of discount rates based on the weighted average cost of capital. Finally, this study presents directions for future research on analytical procedures and methods of improving the reliability of the results of economic analysis within the national technology planning system.

• Journal of Technology Innovation
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• v.30 no.3
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• pp.35-64
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• 2022

Currently, The budget expenditure for national R&D has been on the rise, and the quantitative performance in national R&D programs has been increasing accordingly. However, a growth of qualitative performance can not reach to an upward trend of quantitative performance. For a poor qualitative performance such as patent grades and technologies with low efficiency of technology transfer, the performance evaluation centered on "number of cases" is necessary to improve and start to introduce various "qualitative performance indicators". This paper focuses on "Triadic Patent Families" being measurable the overseas competitiveness of patent applied in major countries(the US, Europe and Japan). It analyzes the influencing factors to evaluate the quality of qualitative performance of R&D program. The result of this analysis shows a significant effect on the creating of triadic patent families within factors of R&D scale and project characteristics. This paper is significantly meaningful to expand insufficient triadic patent families to the target of interest rather than early study relatively, and to analyze the influencing factors of the creation of triadic patent families.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.41-58
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• 2023

This study identifies the commercialization success factors that can be an important indicator for the transfer and commercialization of national R&D results in the agricultural sector. Unlike other industries, the agricultural sector has a non-systematically scaled and processed industrial structure, and R&D is led by government rather than the private sector. Although the quantitative performance of national agricultural R&D, especially the number of patents and publications, has increased rapidly with the quantitative expansion of the government R&D budget, the technology commercialization of the results of agricultural R&D has been accompanied by difficulties for SMEs. Therefore, this study summarized the success factors for commercialization of state-owned technologies presented in previous studies, and based on them, analysed the success factors for commercialization specific to the agricultural sector. It also conducted a questionnaire survey using Delphi and focus group interviews (FGI) with experts from academia, research and industry, and a survey of agricultural companies to derive success factors for commercialization in the agricultural sector using logistic regression analysis. As a result, five indicators with positive correlation and three indicators with negative correlation within technology characteristics, suppliers, adopters, policy and market factors were finally derived as key factors for agricultural commercialization. In the future, it is expected that independent factor analysis of the food and seed sectors, which have independent industry characteristics from the agricultural sector, will be needed.

• Journal of Technology Innovation
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• v.11 no.1
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• pp.125-145
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• 2003

In the knowledge-based economy, the accumulation of technological knowledge is undoubtedly the core competency to reinforce the competitiveness of individual firms and to raise the innovation capability of social and economic systems. Thus far, however, only single or fragmentary indicators, such as R&D expenditure, R&D stock, the number of researchers and the number of R&D employees have been adopted to measure the amount of technological knowledge. In this research, we suggest an approach for aggregating and structuring respective indicators. Applying correlation and factor analysis, we examine the relationship among nine conventional proxy measures for technological knowledge and present a new approach for gauging an aggregated measure.

• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.345-357
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• 2003

As the sustaindble development becomes the main goal of the global world in the 21st century, it is important that technological innovations should be realized ecologically sound based on co-evolutionalry approach. From this perspective, the trans-disciplinary research method is gaining importance in the evaluation process of public funded R&D, especially in the environmental technology. In our evaluation research on the R&D projects of the $CO_2$reduction and sequestration technology in Korea, we attempt to apply a trans-disciplinary integrated method on the concept of the eco-innovation, the technology push and the market pull. Also, we try to develop the trans-disciplinary indicators of the environmental technology evaluation. This research confirms the necessity of trans-disciplinary research among the three academic perspectives, engineering, social sciences and public policy.

• 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.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.889-914
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• 2011

This paper is to review assessment indicator on priorities for budget allocation of the national R&D program. In priority setting of programs for the budget allocation process of the national R&D program using the Analytical Hierarchy Process (AHP), the survey result on the major influencing factors is as follows: the significance of components of evaluation for the priority of the national R&D programs in budget allocation was as following order: "accomplishment and ripple effect of the project," "basis and driving force for the promotion of project," "feasibility of project goals," and the "possibility of overlapping and linkage among projects". The importance of the final evaluation indicator was as following order: "clarity and possibility for accomplishment of business objectives," "ripple effects in terms of science and technology", "ripple effects in terms of the economy and overall society" and "appropriate correspondence with mid- to long-term plans" (the importance for these four indicators was over 10%) while the importance of "overlapping" and "appropriateness of budget size" indicators which fell below 5% were considered to be relatively less important. there is a need for a clear criteria and conceptions of evaluation indicators for budget allocation of national R&D programs.