• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.9
• /
• pp.356-365
• /
• 2017

Most studies of the effects of corporate patents on managerial performance conducted to date have been based on internally-generated patents. However, global pharmaceutical and biotechnology companies acquire patents not only from internal research and development (R&D), but also through university-industry collaboration and purchase. Focusing on this issue, our study collected patents from various sources, including internal R&D, purchased patents, and university-industry collaboration, to examine the real effects more accurately. Additionally, our study used a finite time lag model to consider the time lag between patent and corporate performance. The results of the quantitative analysis of the relationship between patents and corporate financial performance revealed that patent quantitative levels had less impact on sales than other types. However, quantitative patents levels appeared to have a significant impact on market value. Moreover, quantitative patent levels appeared to moderate impact on corporate profit. Patents acquired by internal R&D had the greatest impact on market value, while purchased patents had the greatest impact on corporate profit and sales. The purchased patents had a significant effect on financial performance in the pharmaceutical and biotechnology companies because of the long time required and expense associated with R&D. Overall, the results of this study provide the basis for global pharmaceutical and biotechnology companies to configure an optimal patent portfolio.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.12 no.1
• /
• pp.33-46
• /
• 2017

In Korea, small and medium sized domestic enterprises (SMEs) play an pivotal role in the national economy, accounting for 99.8% of all enterprises, 87.9% of total employment, and 48.3% of production. and SMEs were driving a real force of the development of national economy in many respects such as innovation, job creation, industrial diversity, balanced regional development. Despite their crucial role in the national development, most of SMEs suffer from a lack of R&D capabilities and equipments as well as funding capacity. Government-Supported Research Institute (GRI) can provide SMEs with valuable supplementary technological knowledges and help them build technological capacities. so, In order to effectively support SMEs, government and GRI must be a priority to know about the factors influencing the performance related to technology transfer and technological collaborations. The paper analyzes the effects of Korean IT SMEs Venture external collaborations and technology transfer on their performances, according to their collaboration activities and technology transfer experiences. The results show that there was a significant difference between '3~5times' of technology transfer experience and 'zero technology transfer experience' in the case of technology transfer experience. In case of technological collaboration type, there was a significant difference between 'R&D manpower' and 'enhancement of technological capabilities including core technologies'. The results show that the effectiveness of technology transfer of Korean IT SMEs Venture depends on experiences, types of collaboration activities. so the results of this research will be useful for Government-Supported research institute (GRI)' policy makers when establishing technology commercialization support policies and strategic planning of small and medium sized domestic enterprises.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.7 no.1
• /
• pp.215-224
• /
• 2012

The purpose of this study is to investigate the external collaboration factors that affect the performance of Korean venture businesses. We use 1,567 firm data (from Venture Business Survey by Small & Medium Business Administration) and analyze the effect of the external collaborations with large business, research institutions, other small business, and foreign companies, on their sales increase between 2008 and 2009. Our analysis shows that Korean venture business' collaborations with research institutions or foreign companies increase their sales statistically significantly, while their collaborations with large business decrease their sales significantly. In the mean time, their collaborations with other small businesses show no significant result. Additional analysis on the collaboration categories between venture businesses and large businesses shows that collaborative R&D, employee training and collaborative marketing help venture business to increase their sales significantly, while financial collaborations have a significant negative effect on sales increase. Technology transfers and profit-sharing mechanism have no significant effect. The result shows that venture business' collaborations for the increase in the fundamental capability of innovations and for searching new markets rather than simple transfer of technology or financial collaborations, have significant positive effects on the increase in sales.

• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.538-547
• /
• 2021

This article explores the possibilities and limits of the University-Industry Collaboration (UIC) Faculty System from their perspectives. A qualitative research study is conducted to gain an in-depth understanding of experiences of the UIC faculties. Semi-structured interviews of eight UIC faculties working for A University located in the Seoul Metropolitan area were conducted for the date collection. The results suggest that the UIC Faculty System has provided retirees with an opportunity to move into a second career. Their intangible assets such as industrial field experience, R&D competency, organizational competency, and network all together have contributed to the innovation of the university education. However, the short-term performance-oriented operation has prevented the development of the UIC faculty system. These findings suggest that the system should be improved in order to promote its mutual benefits to both universities and UIC faculties.

• STI Policy Review
• /
• v.1 no.1
• /
• pp.1-21
• /
• 2010

To achieve the "low carbon green growth" vision, the first step is securing core technologies. Therefore, S&T policy direction for green technology development is urgently needed. As of 2008, investment in green technology (GT) development hovered around 10% of the government's total R&D budget. Thus, the Korean government developed a plan to increase that percentage to 15%, by 2013. To develop reasonable investment strategies for green technology development, targeted strategies that reflect technology and market changes by green technology area are needed. However, the overall planning and coordination of national GT development is currently split among, approximately, 10 government ministries. To establish an efficient green technology development system, the so-called "Green Technology R&D Council" should be launched in collaboration with the Presidential Committee on Green Growth and the National Science and Technology Council. Furthermore, to build a solid foundation for commercializing the outcomes of GT development projects and promote GT transfer, the government should undertake two initiatives. First, the government should reinforce GT R&D performance management, by establishing a GT R&D performance management and evaluation system. Second, the government should implement the "customized packaged support for promoting green technology business rights and commercialization" and present "e-marketplace for market-oriented green technologies". Creating a pan-ministerial policy for GT development policy would necessitate restructuring the HR(Human Resources) development system, which is currently separated by technology area. Based upon mid/long-term HR supply and demand forecasts, the government should design differentiated HR development projects, continuously evaluate those projects, and reflect the evaluation results in future policy development. Finally, to create new GT-related industries, the "Green TCS (Testing, Certification, and Standards) System" needs to be implemented. For objective evaluation and diffusion of R&D results by green technology area, a common standardization plan for testing, analysis, and measurement, like the "Green TCS", should be developed and integrated.

• Journal of Korea Technology Innovation Society
• /
• v.18 no.2
• /
• pp.233-263
• /
• 2015

This study considers the improvement of R&D promotion program and its investment efficiency for regional industry. We find out some problems of R&D promotion program and suggest plans to improve investment efficiency of R&D through practical analysis of achievement. Since the 2000s, our country has implemented diverse policies for regional industry; R&D for regional industry has become a core part of business from the point of view of regional industry. As ever, these policies are highly supported for the purpose of securing industrial competitiveness by the central government and local governments. This study, through practical analysis of certain region (Jeonbuk), reviews some problems of R&D promotion program and suggests plans to enhance the achievements of a variety of policies, strategies, and projects. We perform practical analysis using three methods for three different aspects: shift-share analysis for each industry type, performance analysis for each investment type and characteristic analysis for each company type. Reviewing the results of practical analysis, we suggest some plans to promote the collaboration of main R&D support organizations and to minimize the doubleness caused sporadically by the central government and local governments. This research will be used effectively in setting up, implementing, and evaluating R&D investments for regional Industry.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.2
• /
• pp.389-396
• /
• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• Journal of Intelligence and Information Systems
• /
• v.21 no.3
• /
• pp.37-52
• /
• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.

• Journal of Korea Technology Innovation Society
• /
• v.10 no.2
• /
• pp.255-283
• /
• 2007

As of April 2006, Korea had successfully invited twelve global IT R&D centers to help implement the u-IT839 strategy, but there have also been some worries about their research and collaboration performance in Korea. Although it is too early to judge the invitation outcome only after two years or less of their working, the Korean government is being advised to employ a more customized invitation strategy. In this paper, an analytic framework for the attraction of global R&D centers is developed based on the attractiveness-competitiveness matrix, and is applied empirically to the IT industry. Fourteen major IT technology categories and their sub-technological areas are classified into four strategic groups (priority group, wish group, consideration group, and hold group) along the framework via expert surveys and the Analytic Hierarchy Process (AHP) technique. This study is expected to help the government to implement the 'select and focus' strategy in inviting global R&D centers and creating synergy effects between them by providing basic data on global R&D partnership priorities. The implications and limitations of the research and future research directions are discussed at the final section.

• Journal of Korea Technology Innovation Society
• /
• v.17 no.3
• /
• pp.563-583
• /
• 2014

We classified collaboration types of Government-supported Research Institutes (GRIs) in Korea to make a creation knowledge with the openness and the diversity. The openness is described to collaboration dependence and leading intensity, and the diversity is expressed to collaboration diversity and collaboration concentration. We suggest four taxonomy models explained in terms of the openness and the diversity with country level and institute level. This study uses 39,507 papers in SCOUPS DB that include author(s) affiliated to 26 GRIs. It concludes that many GRIs is classified to the type of multilateral collaboration follower in institute level and to the type of global network player in country level from the perspective of openness. In the aspect of diversity, many GRIs is concentrated to the collaboration type of picky eater or monophagous in institute level and to the multinatioal asymmetry type or non-multinational asymmetry type in country level. It is necessary for GRIs to lead collaboration and to transfer inhouse R&D institutes with high performance to be competitive institutes which make high quality knowledge.