• Knowledge Management Research
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• v.19 no.3
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• pp.189-223
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• 2018

This paper examined the effect of innovation networks comprising research and development (R&D) collaboration on innovation performance of Korean pharmaceutical firms. As co-assigned patents and co-affiliated publications are common technical outcomes of successful R&D collaboration in the pharmaceutical industry, social network analysis technique was applied for analyzing innovation networks through patent and publication data. Results of Social network analysis indicated that a small set of highly innovative firms in the Korean pharmaceutical industry were actively involved in patenting and publishing. And the analysis of structural equation model found the followings: (1) R&D intensity significantly affected patenting, publication and new drug development, (2) the activity of patenting and publishing was positively related with the innovation performance measured by new drug development, and (3) R&D collaboration in terms of degree centrality of co-patent network played significant moderating roles on the relationships among R&D intensity, patenting, and new drug development. These findings are expected to be helpful to researchers as well as policy-makers to devise innovation-promoting policies in the Korean pharmaceutical industry. Discussions and limitations of the study are provided in the last part.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.154-163
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• 2017

Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.

• Journal of Technology Innovation
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• v.25 no.1
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• pp.1-34
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• 2017

It is almost impossible for firms to possess all of resources and capabilities needed to create technological innovations in modern competitive environment. This situation forces firms to conduct R&D collaboration. Therefore, this paper analyzes an effect of appropriability protecting knowledge exclusively on R&D collaboration and product innovation performance. In addition, we investigate how the governmental R&D support moderates and influences those relationships through empirical analysis. The results of moderated mediation show that the impact of appropriability on product innovation performance appears to be a common pattern in each conditional indirect effect of appropriability regardless of financial, direct, indirect R&D support of the government. The more governmental R&D supports increase over a certain level, the more conditional indirect effects of appropriability on product innovation performance increase through the vertical R&D collaboration. However, conditional indirect effects of appropriability through horizontal R&D collaboration are not significant in all levels of government R&D supports. If we utilize an analysis of moderated mediation by applying governmental R&D supports as a moderator, it is possible to analyze a significant strength of innovation policies and their performance. Therefore, this paper would make a contribution to an evolution of governmental R&D support and an effective formulation of innovation policy.

• Journal of Microbiology and Biotechnology
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• v.27 no.11
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• pp.1961-1970
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• 2017

Lespedeza cuneata G. Don is a traditional herb that has been associated with multiple biological activities. In this study, we investigated the antioxidative/antiaging activities and performed an active component analysis of the non-fermented and fermented (using Lactobacillus pentosus) extracts of Lespedeza cuneata G. Don. The antioxidative activities of the fermented extract were higher than those of non-fermented extracts. The elastase inhibitory activity, inhibitory effects on UV-induced MMP-1 expression, and ability to promote type I procollagen synthesis were investigated in Hs68 human fibroblasts cells. These tests also revealed that the fermented extract had increased antiaging activities compared with the non-fermented extract. A component analysis of the ethyl acetate fractions of non-fermented and fermented extracts was performed using TLC, HPLC, and LC/ESI-MS/MS to observe changes in the components before and after fermentation. Six components that were different before and after fermentation were investigated. It was thought that kaempferol and quercetin were converted from kaempferol glucosides and quercetin glucosides, respectively, via bioconversion with the fermentation strain. These results indicate that the fermented extract of L. cuneata G. Don has potential for use as a natural cosmetic material with antioxidative and antiaging effects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2429-2440
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• 2015

This paper introduces an online collaboration infrastructure in order to build a nationwide collaboration ecosystem in research and education areas. The proposed infrastructure involves domestic research institutes, education institutions and related commercial service vendors. It also includes various systems and services which can promote their online collaboration. Especially it provides the user authentication framework based on identity federation which facilitates the share of various ICT resources across different organizations, thereby enabling the efficient R&D collaboration. We deploy and validate the user authentication framework of the infrastructure on KREONET.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.91-121
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• 2003

The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty regarding independent efforts in technology development. An alternative to these strategic responses is the R&D or technological collaborations among firms. There have been many researches on the reasons for and effects of these collaborative relationships; however, research examining the risks involved in the process of collaboration is lacking. The researches into essential prerequisites for successful technological collaborations have remained more or less premature despite of the increasing demand for interfirm R&D collaborations. In other words, the existing literature has mainly focused on the choice of collaborations, but has paid little attention to the processes of collaborations. This study tries to identify and integrate both success and risk factors affecting the decision making of whether collaborations are attempted or not and R&D collaboration processes. Finally, a model of interfirm collaborations is suggested and also practical implications for the firms which consider R&D collaboration with other firms are provided.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.181-187
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• 2018

With a view to deepening the research stream on the factors positively influencing the export growth and the employment increase of South Korean small and medium companies, this research has developed the research model about the impact of small and medium companies' external technology R&D collaboration network heterogeneity on their export growth and employment increase, and has empirically tested the research model with the 2,200 data collected from the small and medium companies in the South Korea. This study illuminates the two points from the empirical testing results. One point is that small and medium companies' external technology R&D collaboration network heterogeneity significantly and positively influences their employment increase from technology development. The other point is that small and medium companies' export growth from technology R&D partially mediates the impact of the external technology R&D collaboration network heterogeneity on their employment increase from technology R&D.

• 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.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.199-207
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• 2017

The business environment changing very fast with technology advance and convergence makes the role of R&D become more and more important to firms' success. By analyzing the 683 firm-level data of small and medium venture firms with the ordinary least squares regression, this study sheds new light on the following four points. First, small and medium venture firms' exterior R&D collaboration network heterogeneity positively impacts their import substitution from technology development. Second, the existence of the corporate R&D center moderates the positive impact of small and venture firms' exterior R&D collaboration network heterogeneity on their import substitution from technology development. Third, small and venture firms' exterior R&D information network heterogeneity positively impacts their import substitution from technology development. Fourth, The existence of the corporate R&D center moderates the positive influence of small and venture firms' exterior R&D information network heterogeneity on their import substitution from technology development.

• Journal of Technology Innovation
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• v.18 no.1
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• pp.153-175
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• 2010

Firms must focus on innovative activities via R&D investment in order to secure competitive advantage and sustainable growth. However, their innovative activities do not always result in successful outcomes and are often obstructed by uncertainty and non-appropriability of technology being developed and by insufficient internal resources and capabilities to tap into it. In this situation, collaboration with external partners can be a part of good alternative strategy to solve those problems. This paper aims to analyze what factors lead to Korean manufacturing companies’ decision to collaborate with external partners for technology innovation. For empirical analysis, we used the Korean Innovation Data compiled by STEPI, government-funded research institute in Korea. The research findings are: 1) firms tend to participate in external collaboration for product innovation with greater firm size, more past collaboration experiences and when they belong to high-tech industries 2) unlike our expectation, our chosen ‘innovation-impeding’ factors are found not to contribute to the enhancement of collaboration for product innovation.