• Title/Summary/Keyword: R&D Collaboration

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The R&D Collaboration and Competitive Advantages in Korean Global Venture Firms (해외진출 벤처기업의 R&D협력이 경쟁우위에 미치는 영향)

  • Yang-Pok Rhee
    • Korea Trade Review
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    • v.47 no.2
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    • pp.47-67
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    • 2022
  • This study is to investigate the relationships between R&D collaboration and competitive advantage in Korean international venture firms from the perspective of resource-based theory, organizational learning and network theory. The R&D collaboration is divided into vertical cooperation within the value chain and horizontal cooperation beyond value chain. The first key finding from empirical analysis is that both vertical and horizontal R&D collaborations have significantly positive impacts on technology based competitive advantages. The vertical R&D collaboration has more impacts on competitive advantages than horizontal R&D collaboration. This suggests that R&D collaboration with purchasers and suppliers plays a greater role for venture organizations' competitiveness. Second, the potential knowledge based absorption capacity and mutual goodwill trust also work significantly to reinforce the positive influences of R&D collaboration to the competitive advantage. This implies that mutual trust between partners participating in collaboration and absorption capacity within venture organizations would strengthen the effectiveness of R&D cooperation. This study provides the practical implications that the performance and effectiveness of R&D collaboration may rely on the nature of cooperation partners and internal organization capability.

Causal Relationship between Firms' R&D Collaboration and Performance in Contents Industry (기업의 R&D협력이 기업성과에 미치는 영향 -콘텐츠산업 중심으로-)

  • Yang, Dong-Woo;Kim, Da-Jin
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.306-316
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    • 2010
  • The purpose of study is to promote the development of contents industry by analysing the causal relationship between R&D collaboration and firms' performance. In study, we use the number of intellectual property and total sales as proxy variables of performance. we use the degrees of collaboration experience, firms' interaction and degree of collaboration as proxy variables of independent variables. The results of study are as follows. First, collaboration experience and firms' interaction are positively influence on technological performance. Second, collaboration experience is positively correlated to economic performance. Finally, firms' R&D collaboration revealed higher performance than R&D collaboration of firm and R&D institution This study emphases on the importances of R&D collaboration for developing new technology and improving economic performance.

Global Collaboration of R&D: A Case of Samsung Electro-Mechanics and UT Dallas (글로벌 R&D협력: Samsung Electro-Mechanics와 UT Dallas대학 사례연구)

  • Suh, Sang-Hyuk;Lee, Sun-Young
    • Journal of Korea Technology Innovation Society
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    • v.17 no.1
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    • pp.174-194
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    • 2014
  • Collaborative technology development is now one of the most significant modes of activity in the global scientific community. However, the international cooperation of science and technology simultaneously provides opportunities and challenges, and the results of global R&D collaboration can be positive or negative as the cooperation conditions of the parties may be different according to the types or characteristics of the participants and the pattern, purpose, and motivation of cooperation. In order to minimize the risk and improve the performance of cooperation, more comprehensive as well as micro-level research is needed. This study investigates a case of successful collaborative R&D conducted by several firms, universities, and public research organizations in both Korea and the U.S.A. The aim of this study is to identify the factors of successful R&D collaboration.

An Analysis of Industry-University-Institute R&D Collaboration and Firm Performance on SMEs (중소기업의 산학연 연구개발(R&D) 협력과 기업 성과 분석)

  • Chung, Do-Bum;Ko, Yun-Mi;Kim, Kyung-Nam
    • Journal of Technology Innovation
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    • v.20 no.1
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    • pp.115-140
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    • 2012
  • From a point of knowledge based view, IUI(Industry-University-Institute) R&D collaboration is recognized as an important way to acquire lacking technology and knowledge. In this study, we investigated firm performance of IUI R&D collaboration on national R&D project. That is, we identified whether a collaborative research really affects firm performance, and whether firm performance is differed by types of collaboration. To test our hypotheses, we selected 250 Korean SMEs(Small and Medium Enterprises) which were funded from government R&D for 2006-2009, and we verified relations between the ratio and/or types of R&D collaboration and firm performance. Firm performance was measured by number of patent applied and ROA(Return on Assets) after completion of the project (in year t+1). Findings showed that the relationship between the ratio of R&D collaboration and technological performance was inverted U-shape. Among types of R&D collaboration, though inter-industry collaborative research was negatively related to technological performance, IUI collaborative research was positively related to technological performance. However, the ratio and types of R&D collaboration had no relation to economic performance. The results of this study will contribute to the strategy of SMEs as well as the policy of a government with regard to IUI R&D collaboration.

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Analyzing Government Support Program for R&D Collaboration and Distribution for Korean SMEs: A Case for Equipment Leasing Program

  • PARK, Mun-Su;CHANG, Soonwoo Daniel
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.99-108
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    • 2022
  • Purpose: This study attempted to identify determinants affecting research collaboration and R&D distribution activities, especially regarding facility and equipment leasing of small and medium enterprises (SMEs) in South Korea. The objective of this study was to find the most significant firm characteristics that affect firms participating in an R&D collaboration and distribution program and investing in R&D in terms of leasing payment for equipment. Research design, data, and methodology: This study analyzes which SMEs' characteristics influence external research cooperation activities by examining the SMEs that received government support for equipment leasing using multiple regression analysis and residual plots. The survey combined two databases: 1) a fact-finding survey of participating firms by the Ministry of SMEs and Startups, and 2) leasing information by the Korea Association of University, Research Institute and Industry. Results: The study found that firm size positively impacts R&D investment, R&D collaboration and distribution. Conclusions: The study provided evidence to policymakers and government officials that firms with more employees will more likely participate in government support programs. The study results also prove that government officials believe firm location does not impact R&D investment, R&D collaboration and distribution.

A Study on the Structural Relationships among R&D Resources, R&D Collaboration, Policy Support, and Operational Performance - Focusing on Korean Health Industry Clusters - (R&D 자원, R&D 협력, 정책지원 및 운영성과의 구조적 관계에 대한 연구 -국내 보건산업 클러스터를 중심으로-)

  • Kang, Seok-Min
    • Management & Information Systems Review
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    • v.38 no.2
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    • pp.225-240
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    • 2019
  • It has been known that health industry clusters promote economy of a nation in a macro view and make growth and development of individual firm. As a result, Korean health industry has been grown to play a role of making a high value added in Kwangkyo, Daedeok, Wonju, and Songdo. Using 156 firms locating in health industry clusters such as Kwangkyo, Daedeok, Wonju, and Songdo in increasing value added, this study investigated the structural relationships among R&D resources, R&D collaboration, policy support, and operational performance. All hypotheses, except a hypothesis for the effect R&D resources on operational performance, are reported to be statistically significant. In other words, the positive effect of R&D resources on policy support is reported. And policy support and R&D collaboration positively affect operational performance, and also the positive effect of policy support on R&D collaboration is reported. From the empirical results, we can know that policy support and R&D collaboration are the crucial factors to promote operational performance of the firms locating in Korean health industry clusters. It is important that this study has been investigated with the firms of health industry developing economy of a nation.

Antioxidative and Cellular Protective Effects of Dolwoe (Gynostemma pentaphyllum Makino) Extracts against Oxidative Stress (돌외(Gynostemma pentaphyllum Makino) 추출물의 산화적 스트레스에 대한 항산화 및 세포보호효과)

  • Kim, Kyoung Mi;Kim, A-Rang;Kim, A-Young;Ha, Ji Hun;Xuan, Song Hua;Jeong, Yoon Ju;Park, Young Min;Jeong, Hyo Jin;Hong, In Gi;Park, Soo Nam
    • Korean Journal of Pharmacognosy
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    • v.48 no.2
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    • pp.125-133
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    • 2017
  • In this study, we investigated the total phenolic and flavonoid contents, component analysis, antioxidative activity and cellular protective effects against oxidative stress on human skin cells in 50% ethanol extract, ethyl acetate fraction and aglycone fraction obtained from Gynostemma pentaphyllum (G. pentaphyllum) Makino. The DPPH (1,1-diphenyl-2-picrylhydrazyl) scavenging activites ($FSC_{50}$) of the 50% ethanol extracts, ethyl acetate fraction and aglycone fraction were 246.8, 147.2, $128.9{\mu}g/mL$, respectively. Reactive oxygen species (ROS) scavenging activities ($OSC_{50}$) of the 50% ethanol extract, ethyl acetate fraction and aglycone fraction on ROS generated in $Fe^{3+}-EDTA/H_2O_2$ system using the luminol-dependent chemiluminescence assay were 37.15, 10.74, $7.19{\mu}g/mL$, respectively. We investigated the cellular protective activity and the results showed that treatment of aglycone fraction ($0.05-0.39{\mu}g/mL$) protect human skin cells in a concentration-dependent manner when the skin cell damages were induced by treating them with $H_2O_2$. These results suggest that extract/fractions of G. pentaphyllum Makino may be applicable as natural antioxidants in cosmetics.

An Exploratory Study on the Key Factors of Interfirm R&D Collaboration and the Influence of Trust (기업간 연구개발협력에 대한 영향요인과 신뢰의 효과성에 관한 고찰)

  • 전재욱
    • Proceedings of the Technology Innovation Conference
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    • 1999.06a
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    • pp.119-139
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    • 1999
  • The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty. An alternative to these strategic responses is the recent increase in the number of R&D or technological collaborations among firms. There have been continuous researches into the causes and effects of these collaborative relationships, but there is a lack of research that examines the risks involved in the process of collaboration. The researches into essential prerequisites for a successful technological collaboration have remained at the superficial level despite the surge in demand of R&D collaboration. Therefore, this study proposes positive & negative factors affecting the R&D collaboration process and selection point. In addition, a further step in analysis is taken by integrating both the positive & negative factors. This study emphasizes the importance of inter-trust in activating the process factors within the success factors and reducing the possibility of risk factors.

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Changes in the Structure of Collaboration Network in Artificial Intelligence by National R&D Stage

  • Hyun, Mi Hwan;Lee, Hye Jin;Lim, Seok Jong;Lee, KangSan DaJeong
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.12-24
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    • 2022
  • This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.

Empirical Analysis on the Relationship between R&D Inputs and Performance Using Successive Binary Logistic Regression Models (연속적 이항 로지스틱 회귀모형을 이용한 R&D 투입 및 성과 관계에 대한 실증분석)

  • Park, Sungmin
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.342-357
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    • 2014
  • The present study analyzes the relationship between research and development (R&D) inputs and performance of a national technology innovation R&D program using successive binary Logistic regression models based on a typical R&D logic model. In particular, this study focuses on to answer the following three main questions; (1) "To what extent, do the R&D inputs have an effect on the performance creation?"; (2) "Is an obvious relationship verified between the immediate predecessor and its successor performance?"; and (3) "Is there a difference in the performance creation between R&D government subsidy recipient types and between R&D collaboration types?" Methodologically, binary Logistic regression models are established successively considering the "Success-Failure" binary data characteristic regarding the performance creation. An empirical analysis is presented analyzing the sample n = 2,178 R&D projects completed. This study's major findings are as follows. First, the R&D inputs have a statistically significant relationship only with the short-term, technical output, "Patent Registration." Second, strong dependencies are identified between the immediate predecessor and its successor performance. Third, the success probability of the performance creation is statistically significantly different between the R&D types aforementioned. Specifically, compared with "Large Company", "Small and Medium-Sized Enterprise (SMS)" shows a greater success probability of "Sales" and "New Employment." Meanwhile, "R&D Collaboration" achieves a larger success probability of "Patent Registration" and "Sales."