• Korean Journal of Organic Agriculture
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• v.20 no.2
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• pp.109-124
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• 2012

The purpose of this paper is to suggest policy implications on the R&D planning scope to acquire highly technology quality level and to show the necessity of differentiated strategy by each technology fields in organic agriculture field. To achieve this, we analyzed the determinants of excellent R&D performance using the patent bibliography information analysis based on the count data models. Through empirical analysis, we find out that the determinants are different from each technology field, and show that these determinants should be included in the scope of R&D planning.

• Korea Trade Review
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• v.44 no.1
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• pp.87-99
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• 2019

Recently there are sharp increase in number of studies related with facilitation of Inward-FDI or Multinational Enterprises invested in Korea region. The most of studies are mainly purposing to survey - 1)how Korea Government makes counter plan and assistance policy to make foreign capital and Inward-FDI more attractively and aggressively, 2)what is the new framework or system for Inward-FDI policy, 3)what is economic effect of Inward-FDI, 4)what are determinants or conclusive factors of FDI in Korea. Under this situation, the goal of this report is to find out the new way for Multinational Enterprises to reinvest continuously thru getting their better investment performances on several factors including Marketing Competence, Management Ability, Localization Management Skill, Business Management Strategy, and R&D Competitiveness which would be much more important determinants influencing re-investment of Multinational Enterprises in Kora. This report based on the empirical result and comprehensive analysis will eventually help policy makers to implement the appropriate strategy and support Multinational Enterprises to proceed positive circle's re-investment activity in the end.

• Asian Journal of Innovation and Policy
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• v.1 no.1
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• pp.71-91
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• 2012

The purpose of this study is to identify the major determinants of performance of the R&D alliances, with an aim toward raising the success rate in cooperative relationships. In particular, this study assesses whether the success factors of purchasing relationship identified in the literature apply equally to SMEs in Korea. The results of this study indicate that inter-firm cooperation, experienced cooperation, and efficiency of government support have positive impacts on the purchase rate of new products. On the other hand, R&D intensity and resources of competencies of the firm do not influence it. Additionally, market attractiveness does not moderate the effects of the five independent variables on the purchase. The extracted determinants according to the results of surveys give valuable and practical hints to the SMEs when they make a decision on their R&D alliances with large enterprises.

• Korean small business review
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• v.42 no.4
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• pp.147-172
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• 2020

This study presents the determinants of R&D efficiency as the focus on CEO's competency, which influences R&D competency and R&D efficiency. The research samples are 6,708 technology-innovation small and medium-sized enterprises (SMEs). The independent variable is the R&D competency(existence of R&D organization, level of R&D personnel, R&D personnel management, R&D investment), the dependent variable is R&D efficiency. The moderator is the CEO's competency(experience level in its own industry, technical knowledge level, technology management strategy, management ability). R&D efficiency measures the relationship between inputs(level of R&D personnel, R&D investment) and outputs(patent applications, prototype) by the DEA. and the determinant analysis uses Tobit regression. As a result of the analysis, the existence of R&D organization and R&D personnel management is positively significant, level of R&D personnel and R&D investment is negatively significant for R&D efficiency. The moderating effect of CEO's competency on the relationship between the R&D competency and R&D efficiency is significant determinants of CEO's experience(experience level in its own industry, technical knowledge level) and technology management strategy. The finding is to measure the efficiency of R&D performance, and to analyze its determinants as the moderating effect of CEO's competency, using the technology appraisal data. In the conclusion session, the limitations of the research and future research directions were discussed.

• Information Systems Review
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• v.26 no.1
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• pp.251-268
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• 2024

In the Fourth Industrial Revolution era, global powers are enhancing R&D support to leverage innovations like AI, IoT, and big data for productivity gains and structural economic and social reforms. Yet, the declining R&D budget growth rate and the forecasted sharp cut in South Korea's R&D budget in 2024 highlight the critical need for national R&D performance management system discussions. Diverging from previous studies focused on quantitative analysis of performance determinants, this research utilizes fuzzy set qualitative comparative analysis(fsQCA) to explore the interplay of factors affecting research institutions' outcomes comprehensively. Analyzing data from 2018 to 2022, it examines three outcome types of research institutions, identifying factor combinations crucial for success. By pinpointing these factors' configurations, the study offers institution-specific performance enhancement guidelines and insights for national R&D policy management and performance evaluation efficiency.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.791-812
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• 2011

The aim of this paper is to address the factors that influence R&D performance of the Korea Institute of Science and Technology (KIST), the representative government-supported research institute in Korea, through an empirical case study. Using the KIST R&D project data from 2004 to 2008, we investigate the determinants of R&D performance through a logistic regression analysis, and compare the results with the survey data we collected from researchers. Our results indicate that total budget, high rate of temporary researchers, and the outcome of the research director's past publications affect publishing performance, while the size of equipment, materials expenditure, and whether the research is outsourced or not affect patent registration performance and technology transfer performance. Contrary to expectations, major factors of publishing performance and that of patent performance are different respectively, and even the results of the survey data we collected from researchers show the difference. Accordingly, the findings of our study suggest the need for research institutes to consider facilitating communication with researchers and enhancing research policy analysis for improving R&D performance.

• Clean Technology
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• v.17 no.2
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• pp.181-188
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• 2011

In this study, the complementary or crowding-out effects of public R&D subsidy on private R&D investment in the cleaner production were analysed between the effects and the major determinants (company size, R&D investment intensity, ratio of government investment, R&D manpower intensity). Among 207 firms' projects, the number of the complementary effect was 95 (45.9%) while that of crowding-out effect was 38 (18.4%). Resulting from logistic regression, the higher the R&D investment of sponsored companies is, the more complementary effect they show, responding to public R&D subsidy, and increase own R&D investment. The other determinants, however, showed no significant effects on firms' R&D investment. To heighten the effect of public cleaner production R&D, it is need to increase the priority of R&D investment intensity among the determinants. And to increase the performance of governmental R&D investment, further studies for the individual public R&D programs are necessary.

• Journal of Korea Technology Innovation Society
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• v.13 no.4
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• pp.758-771
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• 2010

Korea is characterized by a high R&D expenditure rate to the GDP. The performance of R&D in Korea, however, hardly seems to be satisfied. The purpose of this study is to investigate the influence of strategic resources and community engineering on R&D performance in bio-tech industry in Korea. The results of the study show strategic resources and community engineering are determinants of technological outcome. The strategic resources have a Significant positive effect on economic impact whereas community engineering has no Significant effect. In addition, the study results reveal that there is no moderating effect of strategic resources on the relation between community engineering and R&D performance. The major limitations of the study are on the measure of the variables.

• Journal of Environmental Policy
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• v.12 no.2
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• pp.33-57
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• 2013

This paper test the relationship among determinants of environmental investments, level of environmental investments, eco-efficiency (carbon productivity). The results show that profitability, leverage and R&D costs have a negative impact on environmental investments, and controlling ownership have a positive impact on environmental investments as well as environmental protection costs. The analysis also show that firms increasing environmental investments are able to gain superior environmental performance ($CO_2$ emission), but are negatively relationship with financial performance. Finally, the findings prove that differences exist in the relationship between determinants and effect of environmental investments when grouped by industry characteristics.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.604-633
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• 2016

In this study, we attempt to identify factors that influence the performances of Korean firms regarding global R&D cooperation, and to derive policy implications for performance improvement. The hypothetic influential factors include firms' general characteristics, purposes and types of cooperation, technology, partners and their countries, and government support. We categorize the performances of global R&D cooperation into technological, economic, and strategic performance, and analyze the effects of those factors on each of the performances as well as the overall performance. We use a standard tobit model for the overall performance, while using a multivariate tobit model for the other performances to reflect the possible correlations among them. The survey data was collected from 162 Korean firms that had previously conducted or were currently conducting global R&D cooperation.