• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.689-710
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• 2011

The purpose of this paper is to positively analyze firms' innovative performance enhanced by cooperation, such as industry-university or industry-government, in service industry. We use PSM method (Propensity Score Matching) based on Korea Innovation Survey data in service industry to investigate it. This empirical study finds that cooperation with university or government partially has positive effects on firm's patent applications and innovation. So, we suggest we need various policies for research institute linkage in service industry.

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

• STI Policy Review
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• v.4 no.2
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• pp.55-73
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• 2013

Since the 1990s, the Japanese government has made considerable attempts at stimulating innovation with an aim to pull the country out of a possibly permanent economic decline. Several laws and policy initiatives were introduced to encourage better interaction between universities (and research institutions) and industry. The results of these efforts have been mixed. While the number of university-industry joint and commissioned research has increased, revenues from the licensing of university-owned patents have fluctuated year by year. Although the number of startups and spin-offs from universities rose, their long-term survival and contribution to the economy remain uncertain. The Japanese experience features both strengths and weaknesses. Strengths include the long-term commitment of policy makers, the ability to set specific targets, and the active engagement of several key economic ministries. Nevertheless, the effectiveness of these policy initiatives was hampered by limitations within the policies concerning the roles of universities and their mode of interaction with industry based on intellectual property rights, the inadequacy of demand-side innovation policies, the fragmentation of bureaucracy, and a lack of a credible evaluation system.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.49-63
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• 2019

The export regulation of semiconductor core materials, which began with the recent revision of the export management regulations of Japan, raises the need for a new cooperation network. A hierarchical management network that was effective in the fast-follower system requires organic cooperation between the public sector and industry through a multilateral network that emphasizes horizontal co-operation among innovation actors. This study focused on the relational capital that exists among members of a business association such as an association that has been relatively marginalized from previous studies. In addition, this study aimed to analyze the effect of network activity characteristics such as industry-university linkage and informal exchange on technological innovation. Through this, I would like to draw implications for enhancing the effectiveness of the government's R & D support and innovation performance of R & D companies. Based on the results of the SMEs R & D survey, this study found that relational capital, informal exchange had a positive effect on technological innovation performance. However, if the relational capital exceeds a certain level, it is analyzed that there is a negative effect due to group think and lock-in effect. This means that informal exchange channels should be expanded for innovation and enhancement, and relational capital should be managed in consideration of the negative effects that may occur when certain levels are exceeded.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.50-58
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• 2019

The clear and specific objective of this study is to design a false news discriminator algorithm for news articles transmitted on a text-based basis and an architecture that builds it into a system (H/W configuration with Hadoop-based in-memory technology, Deep Learning S/W design for bigdata and SNS linkage). Based on learning data on actual news, the government will submit advanced "fake news" test data as a result and complete theoretical research based on it. The need for research proposed by this study is social cost paid by rumors (including malicious comments) and rumors (written false news) due to the flood of fake news, false reports, rumors and stabbings, among other social challenges. In addition, fake news can distort normal communication channels, undermine human mutual trust, and reduce social capital at the same time. The final purpose of the study is to upgrade the study to a topic that is difficult to distinguish between false and exaggerated, fake and hypocrisy, sincere and false, fraud and error, truth and false.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.105-115
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• 2017

Innovative cluster theory promotes cluster growth as the tacit knowledge and know-how approach becomes easier through industry-academia cooperation. Industry-academia cooperation is an innovation network policy that supports joint research between industry and academia. In this respect, The Flow of recent government policy is activating I-U support office in university & research institute for enable I-U Cooperation ecosystem. Then SMB Administration was first performed "research village support program", to support SMEs in industry-university cooperative research capabilities by integrating the research, development and commercializatin of the university or research institution with excellent research base in 2013. However, I-U Cooperation R&D must be based the link strategy of Localization in order to be better composition at research village. In the case of research villages where specialized discovery strategies are well reflected, integration of similar companies in specialized fields will naturally create clusters and create synergy of research. This study searching and summarizing through a recent Hanbat National University research village. Finally, we propose the implications of government policy.

• Asia-Pacific Journal of Business
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• v.10 no.3
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• pp.113-124
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• 2019

With the decline in the college student population and the increase in the youth unemployment rate, the university began to be interested in starting a business. Under the initiative of the government, the start-up support project was reflected in the university's educational programs, which led to the university students receiving various start-up support benefits. In response to the expansion of entrepreneurship education, various entrepreneurship education programs and support programs were applied in line with the government's efforts to start college students. As a result, students' entrepreneurial competence and willingness to start up increased. College student entrepreneurs and entrepreneurs are increasing. The increase of university student start-up companies is taking place in the entrepreneurial education environment within the university, and the support of university, community, and start-up support institutions for university student start-up, the starting point of the start-up ecosystem, is paying off. It can be seen that the youth entrepreneurship ecosystem based on university entrepreneurship education is in place. The university supports the entire business process from idea development, such as start-up classes, start-up club support, patent application support, prototype development support, and investment linkage. However, there is a university that develops and operates a unique program for each school and a university that does not. Therefore, it is necessary to develop an education program that can produce efficient results. The purpose of this study is to support the start-up program of the university to be the consumer-centered start-up support.

• Journal of Technology Innovation
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• v.24 no.1
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• pp.169-188
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• 2016

This study examines each factor's effects on the firm's innovation method selection by comparing with EU countries and suggests policy implications for improving firm's innovation capabilities, confirming the changes with the latest data. We used similar data and model for this, and as a result, Korea is located between intermediate group and catching-up group in 2005. In 2014, we found partially positive changes; increase in R&D cost ratio along innovation expenditure, conducting in-house innovation, and R&D in high-tech sector. Therefore, it is required to support innovation expenditure and complement the system for high-tech firms, those that apply patent or conduct industry-university/government research institute linkage in order to improve innovation capabilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.410-422
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• 2018

This paper studies the factors that increase the sustainability of Industry-University cooperation in the current structure of domestic I-U cooperation, which is highly dependent on government support. First, we examine the extent to which the 'I-U Relationship Strength' can be explained by the cumulative 'Experiences of I-U cooperation' and 'Width of various I-U cooperation channels', and the 'I-U cooperation barrier' can be explained by the 'Difference in mutual recognition' and 'Institutional barriers' on sustainability. In addition, the factors that can lower the 'I-U cooperation barrier', such as the 'University administration's efforts' and 'Trust between I-U', are examined. The researchers examined the factors affecting the sustainability of I-U cooperation and the factors affecting 'I-U cooperation barriers' in the 'I-U cooperation technology development projects' of the Ministry of Small & Medium Venture Business and Startups with its long history of domestic I-U cooperation programs. In order to clarify the data of the research sample, a questionnaire survey of organizational units was conducted for all companies participating in the 'I-U cooperation technology development projects' of the Ministry of SMVB and Startups between 2011 and 2015, and the responses of 356 organizations were used. It was found that the greater the 'Width of the I-U cooperation channels', the higher the sustainability and that the greater the 'Institutional barriers', the lower the sustainability. However, through the 'University administration's efforts' and 'Trust between I-U', it is possible to overcome the 'I-U cooperation barrier'. Ultimately, the systematization of Industry-University-Research institute subjects is needed to realize sustainability. In other words, it is necessary to have a linkage program that can broaden the link between industry and universities, that is to broaden the scope of I-U cooperation. Moreover, it is necessary for the government to provide institutional support to promote desirable I-U cooperation policies. Finally, it is essential to change the universities' core organizations in order to improve the level of university administration services.

• Safety and Health at Work
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• v.6 no.3
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• pp.200-205
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• 2015

Background: Construction activity has made considerable breakthroughs in the past two decades on the back of increases in development activities, government policies, and public demand. At the same time, occupational health and safety issues have become a major concern to construction organizations. The unsatisfactory safety performance of the construction industry has always been highlighted since the safety management system is neglected area and not implemented systematically in Indian construction organizations. Due to a lack of enforcement of the applicable legislation, most of the construction organizations are forced to opt for the implementation of Occupational Health Safety Assessment Series (OHSAS) 18001 to improve safety performance. Methods: In order to better understand factors influencing the implementation of OHSAS 18001, an interpretive structural modeling approach has been applied and the factors have been classified using matrice d'impacts croises-multiplication $appliqu{\acute{e}}$ a un classement (MICMAC) analysis. The study proposes the underlying theoretical framework to identify factors and to help management of Indian construction organizations to understand the interaction among factors influencing in implementation of OHSAS 18001. Results: Safety culture, continual improvement, morale of employees, and safety training have been identified as dependent variables. Safety performance, sustainable construction, and conducive working environment have been identified as linkage variables. Management commitment and safety policy have been identified as the driver variables. Conclusion: Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health.