• Journal of the Korean Regional Science Association
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• v.31 no.4
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• pp.71-90
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• 2015

This article aims to explore the performance evaluation framework for assessing the contribution of national research and development(R&D) program to productivity growth. The key idea starts with the development of methodology for evaluating the returns to R&D. The method of this study is based on the comparison of productivity growth between different periods, not cross-sectional approach with one period. In this context, backward effect and forward effect are operationally defined as a measurement for contributions of R&D in this paper. The analysis results gives that the backward effect of R&D is greater than the forward effect, while the difference was especially evident with the case of sales variable, not operating profit variable.

• Architectural research
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• v.17 no.2
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• pp.75-81
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• 2015

Insulation and condensation performance evaluation (I&CPE) is an important energy analysis. While considerable amount of data are already represented in a Building Information Model (BIM), the lack of interoperability between BIM modeling and I&CPE programs prevents the simulation process from being efficient and accurate. This study proposes a prototype of a BIM-based I&CPE simulation program, in order to enhance the interoperability between BIM modeling and I&CPE programs. This study discusses the information flow process, defines the required information and its level of detail, develops standardized libraries, and finally proposes a prototype that consists of a data extraction module, conversion module, and performance module. The assurance of interoperability between systems might greatly benefit architects and energy professionals.

• Journal of Korea Technology Innovation Society
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• v.13 no.4
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• pp.794-816
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• 2010

To explore the answer on how the evaluators' network affects efficiency of National R&D Program, this paper analyzes the network of evaluators who attended the peer-review committee for National Nuclear R&D Program from 2007 to 2008. The result derived from network analysis was applied to measure the efficiency of programs by Data Envelopment Analysis. The result shows that the weaker network produces higher efficiency as much as the research result itself. Along with the expertise of evaluators themselves, this paper implies that network should be considered as a main item for evaluation.

• 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.

• 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 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.

• Journal of Technology Innovation
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• v.28 no.2
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• pp.63-100
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• 2020

This study analyzes the effectiveness of government supported R&D program for SMEs by measuring TFP improvements. We estimate TFP for Korean companies from 2011 to 2018 using Levinsohn and Petrin (2003) method which reduces endogenous problem. Then government R&D beneficiary companies were extracted from the NTIS and linked to TFP estimates. The empirical results are as follows. First, as a result of estimating production function, the contribution of TFP to value-added is more important than in the past. Second, the TFP gap between large firms and SMEs continues to wide and there is no sign of easing.(from 3.72 times in 2011 to 5.23 times in 2018). Third, SMEs beneficiaries show higher TFP level than non-beneficiaries. However their TFP was on the decline until government support. After government supported R&D program, it reverses upward. Fourth, although one-year TFP improvement of beneficiaries is bigger than non-beneficiaries, it is smaller than the control group through PSME. Because SMEs participating in government R&D programs had showed downward trend of TFP until R&D program, it is necessary to examine whether there is a fundamental discordance between the demand of SMEs for R&D program and governments policy goal. More sophisticated program design will be required to escape the recognition that government R&D programs for SMEs are just charity.

• IE interfaces
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• v.24 no.4
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• pp.314-322
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• 2011

This study analyzes a relationship between Data Envelopment Analysis(DEA) efficiency scores and a normalization index in order to examine the validity of DEA models. A normalization index concerned in this study is 'sales per R&D project fund' which is regarded as a crucial R&D project performance evaluation index in practice. For this correlation analysis, three distinct DEA models are selected such as DEA basic model, DEA/AR-I revised model(i.e. DEA basic model with Acceptance Region Type I constraints) and Super-Efficiency(SE) model. Especially, SE model is adopted where efficient R&D projects(i.e. Decision Making Units, DMU's) with DEA efficiency score of unity from DEA basic model can be further differentiated in ranks. Considering the non-normality and outliers, two rank correlation coefficients such as Spearman's ${\rho}_s$ and Kendall's ${\tau}_B$ are investigated in addition to Pearson's ${\gamma}$. With an up-to-date empirical massive dataset of n = 482 R&D projects associated with R&D Loan Program of Korea Information Communication Promotion Fund in the year of 2011, statistically significant (+) correlations are verified between the normalization index and every model's DEA efficiency scores with all three correlation coefficients. Especially, the congruence verified in this empirical analysis can be a useful reference for enhancing the practitioner's acceptability onto DEA efficiency scores as a real-world R&D project performance evaluation index.

• Journal of Ocean Engineering and Technology
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• v.34 no.6
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• pp.461-468
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• 2020

This study examined how national research and development (R&D) in the domain of logistics has changed recently in the Republic of Korea. We conducted basic statistical analysis and social network analysis on 5,327 logistics-related R&D projects undertaken during 2005-2019. Data for performing these analyses were collected from the R&D database of the National Science and Technology Information Service (NTIS). By constructing a co-occurrence matrix with keywords, we conducted degree and betweenness centrality analysis and visualized the network matrix to display a cluster map. This study presents our observations related to the following findings: (1) the chronical trends of logistics R&D, (2) focused fields of logistics R&D, (3) the relations among keywords, and (4) the characteristics of logistics R&D. Finally, we suggest policy implications to boost and diversify logistics R&D.

• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.17-41
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• 2004