• Journal of Korea Technology Innovation Society
• /
• v.3 no.3
• /
• pp.113-124
• /
• 2000

In the knowledge based economy, it's important to know the place where the proper knowledge locates as well as to produce the creative knowledge. This paper intends to clear up the linkage structure between research fields and its application areas. 2,135 proposals submitted to Korea Science and Engineering Foundation were analyzed to investigate the relationship between research fields and application areas. The results are as follows; first, 51.8% of the basic research is devoted to the advancement of knowledge, second, 40.8％ of that is applicable to the industry, third, 5.8% and 1.2％ of that contributes to environment and social welfare.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2000.11a
• /
• pp.109-121
• /
• 2000

In the knowledge based economy, it's important to know the place where the proper knowledge locates as well as to produce the creative knowledge. This paper intends to clear up the linkage structure between research fields and its application areas. 2,135 proposals submitted to Korea Science and Engineering Foundation were analyzed to investigate the relationship between research fields and application areas. The results are as follows; first, 51.8% of the basic research is devoted to the advancement of knowledge, second, 40.8% of that is applicable to the industry, third, 49.9% of engineering and 20.2% of natural science research is applicable to the industry.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.4
• /
• pp.185-194
• /
• 2022

The software industry makes it possible to converge science and Information and Communication Technologies (ICT), create new markets, and create jobs. It is a key industry in the 21^st century knowledge and information age, which is growing very rapidly. This study uses Input-output analysis to derive Linkage effect of the software industry in Korea and the United States (US), and compares the result with CO₂ inducement effect to verify whether the industry meets the low carbon emission development strategy. As the result of this study, first, the software industries in Korea and the US are confirmed to have large influences on the national economy. Second, the Korean software industry has a low Forward linkage effect, so it is less affected by the output of other industries. On the other hand, in the US, it has a high Forward linkage effect and can induce a lot of output in others. Third, CO₂ inducement effects of the industry in Korea and the US are both low, confirming that the industry is suitable for a sustainable future.

• Journal of Technology Innovation
• /
• v.14 no.2
• /
• pp.49-65
• /
• 2006

In this paper, innovation policies for systems reform in China since the middle 80's are surveyed and its impacts on science industry linkage activities are investigated by looking into (1) technology market, (2) S&T outsourcing activities of firms and (3) co-invention patents by applicants in firms, universities and public research institutions. All of these findings suggest that the role of science sector in China's economic development process has become larger, and double skin problem (separation of science and industry sector) in China's innovation system has been gradually solved by a number of policy actions to facilitate science industry linkages.

• Agribusiness and Information Management
• /
• v.3 no.1
• /
• pp.23-37
• /
• 2011

The development of informatization impacts all sectors, including agriculture. Agricultural informatization builds the knowledge linkage structures of agricultural innovation systems globally. This study investigated the global knowledge linkage structures in agricultural innovation pertinent to information technology (IT) for agricultural research and development (R&D) investments and activities. We explored the longitudinal trend of systemness within the networked research relationships in the triple helix (TH) of the university, industry and government (UIG). We collected data from publications in the Science Citation Index (SCI), the Social Sciences Citation Index (SSCI), and the Arts and Humanities Citation Index (A&HCI) to analyze the TH network dynamics. We also performed a scientometrics analysis to quantitatively identify the knowledge and insights of global agricultural innovation structures. These results could be informative for individual countries. Our findings reveal that the global knowledge linkage structures in the agricultural sector that are pertinent to IT fluctuate widely and fail to increase the capacity of agricultural innovation research due to a neglect of the network effects of the TH dynamics of UIG.

• Journal of Korea Technology Innovation Society
• /
• v.11 no.1
• /
• pp.91-117
• /
• 2008

The relationships between science, technology, and industry are very complicated and vary according to time. Thus, it would be almost impossible to combine the three categories in a single model. However, the linking of science, technology, and industry, which are divided according to their respective classification standards, is a starting point from which to understand how science and technology, technology and industry, and further science, technology, and industry are related to each other. Studies have been carried out to analyze the relationship between science and technology and between technology and industry, whereas no study has been undertaken to get an overall view of science, technology, and industry. Since an appropriate methodology or an analytical model has not been suggested, this paper proposes a model for generally analyzing science, technology, and industry. More specifically, this paper examines the methodology for linking science, technology, and industry. This paper uses citation analysis to analyze knowledge flow such as absorption and utilization of given knowledge, looks at the provision of knowledge to create new knowledge, and examines the use of network analysis to analyze the complicated phenomenon of knowledge flow. This paper proposes an empirical study of trend analysis of technological innovation by looking into a linkage structure of knowledge flow among science, technology, and industry based on the classification linkage and analysis methodology using scientific paper and patents.

• Knowledge Management Research
• /
• v.7 no.2
• /
• pp.13-34
• /
• 2006

This paper is an exploratory study to analyze the flow of knowledge in science and technology in order to predict technology innovation. Here, we need to look into the characteristics of how knowledge is created in science, technology and industry to start with. Based on the characteristics we find, we have to understand the relationships between science, technology and industry, and construct a model to link them to each other for future empirical studies. In this study, we take a general view of the existing study results and theoretical models on the characteristics and linkage of scientific and technological knowledge. Moreover, we examine the preliminary framework to link science to technology to industry for further study on the knowledge flow of science and technology. Finally, we present the direction for future study by using the examined models and framework.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.4
• /
• pp.771-778
• /
• 2014

In this study, we have measured the effects on production inducement, added value inducement, employment inducement and backward and forward linkage regarding the knowledge service industry in Korea. It turns out that the knowledge service industry greatly contributes to increase of added value and employment creation while highly withholds to effect on production inducement and backward and forward linkage effects. In recent, government seeks out new growth driver out of the knowledge service industry. We have found the fact that its direction should be 'production growth of the knowledge service industry' through this study.

• Journal of Distribution Science
• /
• v.21 no.7
• /
• pp.65-71
• /
• 2023

Purpose: This study attempted to analyze the impacts of the backward linkage and output multipliers, and investigate the price fluctuation and the price forecast amongst the manufacturing sectors associated with food processing industrial output of Thailand. Research design, data and methodology: The Thailand Input-Output table with a size of 180 x 180 sectors from 2005, 2010, and 2015 was utilized while the secondary data of the time series from January 2002 to December 2021 were processed via a multiplicative model and Box-Jenkins model. Results: The backward linkage analysis indicates that canning and preserving of the meat sector majorly utilized the factors of production from the slaughtering sector; canning and preservation of fish and other seafoods sector largely used those factors from the ocean and coastal fishing sector; and the sugar sector used those of the sugarcane sector. Notably, the output multiplier analysis indicated that output multipliers of those 3 manufacturing sectors were highly increased; meanwhile the price fluctuation continually existed in all forms. Besides, the price forecast suggested that prices of chicken and sugarcane tended to be higher; whereas, the price of shrimp was unstable. Conclusions: Food processing industry contains the favorable components to be one of the industries of the future of Thailand.

• Journal of Korea Technology Innovation Society
• /
• v.10 no.3
• /
• pp.531-554
• /
• 2007

This paper suggests a new model connecting various knowledge activities through classification systems such as classifications of research, technology, industry, major and job. Although research activities are linked to technology and industry areas or to education and job areas, there is no effort to link these kinds of activities. There are a few studies to link research and technology or research and education respectively. But, there have been no studies to connect technology-industry linkage and education-job linkage. This paper suggests that research area can be a basis of link between technology-industry linkage and education-job linkage. The methods building the links are not simple, but easy; 1) setting up new science/research classification system having two dimensions of research and application, 2) building electronic systems and databases allowing fields for several classification systems, and 3) making rules using multi-dimensional classification systems following the purpose of the programs. The model is designed to meet the needs of nationwide R&D and human resources policies, and for the preparation of knowledge society to grasp the relationship between sequential activities using knowledge. If we know the interactive relationships between various areas, we can trace related phenomena in different activities with restricted information.