Park, Yoon-Gu;Lee, Jae-Kwang;Seo, Jong-Hyen;Kim, Chong-Man
Journal of the Korea Safety Management & Science
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v.10
no.4
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pp.327-336
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2008
Recently, technology growth and globalization of the market bring the age of knowledge based economy. These competitive environment require that the firms should cooperate among industry, academia, and institute. Cooperation between firms and universities for research and development is one of the most important business strategy in improving their business competences. This paper studied the factors of the firm involvement in the cooperation between firms and universities for technology development. To analyze the involvement factors, the data of 'R&D activity survey' of Ministry of Science and Technology(MOST) were used. Based on results of the analysis, 6 factors such as firm size, the years of firms, ratio of the researchers, the ratio of collaborative investments, the ratio of new product development, and the number of property right were significant. As the technology cooperation get flourished, the results of this research is expected to play a meaningful role as an basic data for developing the cooperation between industry and academia policy for technology development.
Journal of the Korean Society of Industry Convergence
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v.22
no.6
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pp.729-737
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2019
The world is now going through the era of the Fourth Industrial Revolution. Major global economies, including the United States, Germany, Japan and China, are fostering industries related to the fourth industrial revolution with policies and investments. South Korea is also setting up its fourth industrial revolution committee under the president, expanding policies and investment to foster industries related to the fourth industrial revolution, and increasing investment in research and development. Accordingly, government and private investment in industries and technologies related to the Fourth Industrial Revolution is made extensively around the world, and many related industries and technologies are being developed. In this paper, we will look into the status and problems of Advanced Concept Technology Demonstration projects that can quickly and easily introduce technologies related to the fourth industrial revolution in the private sector where many developments are taking place, and present the direction of development.
The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.
Since the late 20th century, due to the globalization of markets and the rapid developments of information and communication technologies, the world has entered into the age of fierce competition. With their abundant low-cost labor, former communist countries such as China, Russia and East Europe and former low-developed countries such as India and Brazil have received foreign investments from major industrial companies. Thus, there are no other alternatives remained for Korea and OECD countries other than moving the industrial economies to the knowledge based innovation systems. In the knowledge based innovation systems, economic developments and employments of regions and nations depend solely on companies situated in their territories. In this article, after reviewing the current state of technological based innovation small firms in korea, we provide a theoretical framework to promote the level of technology based innovation and entrepreneurship. The theoretical framework for analysis and policy suggestions is based on the Schumpeter's value system model that consist of supply factors, demand factors, and supporting institutions. In order to create more innovative small businesses, we insist on the followings. First, more R&D and innovation activities related with promising new technologies should be performed. Second, more R&D funds for technological innovation small companies should be provided from governments. Third, more M&A transactions and technology transactions should be marketed freely and competitively. Fourth, more business incubating services and venture capital services should be provided. Fifth, entrepreneurship and innovation culture should be popular and institutionized among people.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.5
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pp.117-121
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2018
As the paradigm shifts in the era of accelerated technological development and technology convergence, the defense sector is pursuing national defense research and development through selection and concentration, as well as the expansion of investments to develop defense science and technology to the highest possible level. In addition to investing heavily in cutting-edge weapons and core technologies that are consistent with the future, the defense sector is also developing investment strategies within a limited budget. In the private sector, the PD system has been introduced in order to maximize the performance of R&D policy and to improve the professionalism and responsibility of planning & management. In accordance with this trend, in the field of defense, the PD system of defense technology with specialization is being promoted, in order to strengthen the task planning capacity and to promote the utilization of private technology. Considering the need for coherent technical support for the core technology developed by R&D, the improvement of open technology planning systems and expansion of inter-civil & technical linkage, the use of the PD system in the defense field is indispensable. In this study, we review similar cases abroad and at home to examine the introduction and management of the PD system for defense technology. This study is based on the current state of the defense technology PD system that is being pursued.
This paper examined the relationship between innovation and firm performance by integrating industry competitive context and firm-level knowledge constructs. After controlling for firm site, age, and the presence of a union, cross-section analysis of survey data from 1,419 medium sized manufacturing firms yielded following findings. The first was the expected positive relationship between firm-level innovation and firm knowledge and also industry dynamism, as measured by the intensity of industry-level R&D. This results indicate that industries with greater aggregate levels of R&D intensity are home to higher rates of firm-level innovative activity and managers must increase their numbers of technical staff and the level of training. But the interaction between firm knowledge and industry dynamism was non-significant. Second, innovation was not significantly related to firm performance, as measured by revenue growth. This relationship was not moderated by industry dynamism and firm level knowledge. In high and low technology sectors, the relationship between innovation and performance was non-significant, consistent with the full-sample analysis. The results suggest that the effects of firm-level knowledge assets and investments in training don't work in different ways in different industry settings. This research used three control variables to analyze innovation and firm performance. Firm age was negatively associated with firm performance and did not significantly predict innovation. Firm size was positively associated with innovation and performance in the low-technology sector. The presence of a labor union was not a significant with respect to innovation.
Since the late 20th century, due to the globalization of markets and the rapid developments of information and communication technologies, the world has entered into the age of fierce competition. With their abundant low-cost labor, former communist countries such as China, Russia and East Europe and low-developed countries such as India and Brazil have received investments from major industrial companies. There are no other alternatives for Korea and OECD countries to move the industrial economy to the knowledge based innovation system. In knowledge based innovation system, economic development and employment of a region and nation depend solely on the number of its companies and their competitiveness. In this research, after reviewing the current state of technological innovation small companies in korea, we provide a theoretical framework to promote the level of technological innovative entrepreneurship. The framework is based on a value system model that consist of supply factors, demand factors, and supporting institutions. In order to create more innovative small businesses, we insist on the followings. First, more R&D activities related with promising new technologies should be performed. Second, more R&D funds for technological innovation small companies should be provided from governments. Third, more M&A transactions and technology transactions should be marketed freely and competitively. Fourth, more business incubating services and venture capital services should be provided. Fifth, entrepreneurship and innovation culture should be popular and institutionized among people.
The purpose of this study is verifying with corporate financial data that the required investment amount flow shows a similar pattern as times passed, in new product development by start-up company. In the previous paper, the same authors proposed the required investment amount flow as a 'New Product Investment Curve (NPIC)'. In this study, we have studied further in various types of companies. The samples used are accounting data of 462 companies selected from 5,873 Korean companies which were finished external audit in 2015. The results of this study are as follows; The average investment period was 3 years for the listed companies, while 6 years for the unlisted companies. The investment payback period was 6 years for listed companies, while 17 years for unlisted companies. The investment payback period of the company supported by big affiliate company (We call 'greenhouse company') was 14~15 years, while 17 years for real venture companies. When we divide all companies into 4 groups in terms of R&D cost and variable cost ratio, NPIC explanatory power of 'high R&D and high variable cost ratio group (Automobile Assembly Business) is best. Among the eight investment cost indexes proposed to estimate the investment amount, the 'cash 1' (operating cash flow+fixed asset excluding land & building+intangible asset, deferred asset change)/year-end total assets) turned out to be the most effective index to estimate the investment flow patterns. The conclusion is that NPIC explanatory power is somewhat reduced when we estimate all companies together. However, if we estimate the sample companies by characteristics such as listed, unlisted, greenhouse, and venture company, the proposed NPIC was verified to be effective by showing the required investment amount pattern.
Despite high uncertainty on financial return, firms have continuously increased their investment on technologies because they recognize the potential value of technology investment in terms of enhancing operational efficiency and sustaining competitive advantage. Notably, an individual technology investment pattern or strategy within an industry may ultimately lead to significant differences in business performance. Hence, we first categorized technology investment into traditional research and development investment and information technology investment. Afterward, we examined the effects of each pattern with combination of the two types of technology investment on business performance according to firm size and position in the supply chain through fuzzy-set qualitative comparative analysis. Data collected from 562 manufacturing firms in Korea were used in the analysis. Results showed that large-sized firms were slightly affected with microscopic patterns in their technology investments, whereas small firms were highly affected with their technology investment patterns and their positions in the supply chain. The findings implied that a small enterprise requires an appropriate technology investment strategy to achieve successful business outcomes.
The interest on the marine leisure sports is rapidly increasing with the advent of the five-day week and with increments of GNP. The self-governing bodies are trying to drag large investments into the marine leisures industry through international exhibitions and yacht rallies. Unfortunately, the demands in the domestic area don't increase differently from those demand patterns in the advanced countries. In this study, several suggestions for vitalizations on the marine leisure industry are made after surveying the recognition degree of the domestic people on the marine leisures and the current states of their spending on the marine leisures. As results, it has been shown that the policies based upon negative factors coming from negative understandings on the leisure activities should be largely revised. Further, it seems that the policies for the preparations of the laws and the regulations for the marine leisures as well as for the R&D policies should be taken systematically so that the infra structures are constructed while improving the negative understandings on the leisures. The fundamental databases investigated in this study will help the policy makers and the investors reduce the risks of the policy and the investments in the field of marine leisure sports.
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