• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.173-195
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• 2013

This study is to analyze the impact of the absorptive capacity and information technology (IT) on firms' innovation. The absorptive capacity is measured by R&D investment intensity, R&D manpower concentration, and the firm's size. We try to see the interaction effects between the absorptive capacity and IT usage on firms' innovation. We also look into the differences of the impacts between manufacturing industry and service industry as well as IT industry and service industry. We found that IT and R&D intensity have stronger interaction effect on innovation in manufacturing industry than in service industry, which shows that IT plays a more important role in the accumulation of knowledge in R&D activity in manufacturing industry. Contrarily, in service industry, IT and R&D manpower concentration has significant interaction effects on innovation. This means that the role of IT in service industry is sharing knowledge and experiences among employees in service industry. The interaction effect between firm's size and IT has positive impact on innovation in manufacturing industry, while it has negative impact on innovation in service industry. Finally, we found that the interaction effect is statistically significant in non-IT industry, while it is not statistically significant in IT industry.

• STI Policy Review
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• v.9 no.1
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• pp.77-98
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• 2018

In the past few decades, the importance of dynamics of University-Industry Linkage(UIL) in strengthening national and regional innovation competency and global competitiveness has been progressively more acknowledged. However, establishing an effective UIL for a better economic development is still a challenging endeavor in Ethiopia, particularly in Tigray region. This study is aimed at assessing the status of UIL and in order to achieve such aim it analyzed the determinants of firms' intensity of interaction with the Mekelle University (MU) and the effect of the intensity of interaction on the relevant firms' innovation performance. The findings of the study showed that the status of UIL between the firms and the university in Tigray region was at an infant stage. The study also found that firm size, firm age (startups) and government supports have had a significant effect on firms' intensity of interaction with the MU. However, the firms' intensity of interaction with the MU did not have any significant effect on the firms' innovation performance. In contrast, cooperation with customers, other groups and suppliers, firm size, firm age, and in-house R&D activities were found to have a significant effect on the firms' innovation performance. In conclusion, the acquisition of knowledge and technology from university does not have an important role in firms' innovation performance in the studied region. Consequently, the government should design effective strategies and assign responsible bodies to implement the strategies, create awareness, and organize both firms and university to meet and work together in order to enhance firms' innovation performance.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.373-381
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• 2013

This paper reviewed the mediating effects of knowledge sharing between social capital(interaction, trust, shared vision) and innovation(radical innovation, incremental innovation) in small businesses. Based on the responses from 337 responses, the results of mediating effect analysis and path analysis showed that interaction and shared vision effect positively on radical innovation and incremental innovation via knowledge sharing or directly, but trust effects positively only on incremental innovation. Social capital and knowledge sharing have more effects on incremental innovation than on radical innovation.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.317-325
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• 2013

This paper reviewed the relationship between social capital(interaction, trust, shared vision) and innovation(product innovation, process innovation), and the moderating effect of CEO's entrepreneurship in small businesses of Convergence Federation. Based on the responses from 252 responses, the results of multiple regression analysis showed that interaction and shared vision effect positively on product innovation and process innovation, but trust effects positively only on process innovation. The results of moderating analysis showed that entrepreneurship effects positively on the relationship between trust and product innovation, and the relationship between shared vision and process innovation.

• Archives of design research
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• v.13 no.3
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• pp.29-38
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• 2000

Human has been living in the relation with diverse artifacts ranging from simple tools to complex systems. The relation is an interaction between user and product with input and output process to achieve a certain goals. Natural inter-connection is very important to this interaction. The visualized operation and the dear feedback of product play a critical role in making input and output distinct at both sides. So product innovation means removing mental and physical loads between product and user based on understanding and analyzing interaction. This study proposes the interaction grid as a framework to visualize the interaction. The interaction grid is the format to describe the input and output process between user and product. Modeling and analysis of interaction is based on the interaction grid. Finally, this study discusses the idea exploration method for product innovation with interaction grid, and develops prototype of interaction analysis system for supporting idea exploration.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.820-844
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• 2014

Various innovation theories, such as innovation system, innovation cluster, triple helix model, are different in their focus. However they all emphasize the interaction between innovation actors in order to generate, diffuse, and appropriate technological innovations successfully. This study analyzes how the interaction of innovation actors in Daedeok Innopolis has been changed since the introduction of innovation cluster policy like the designation of Daedeok Innopolis. Based on the analysis of survey data, Innopolis statistics, and patent joint-application data, we come to the conclusions that the Daedeok Innopolis has characteristics of multi-level governance structure, in which innovation cluster, i.e. Daedeok Innopolis, regional innovation system, and national innovation system directly overlap under the framework of innovation system. In addition, from the perspectives of triple helix model, we are able to verify that the inter-domain interactions between innovation actors, such as tri-lateral network, have been constantly increased in the Daedeok Innopolis. Based on our analysis, we identify some policy suggestions in order to strengthen the competitiveness of the Daedeok Innopolis as well as other innovation clusters in Korea. First, the network activities between innovation actors within innovation cluster should be strengthened based on the geographical accessibility. Second, private intermediate organizations should be established and their roles should be extended. Third, the entrepreneurial activities of universities within innovation cluster should be strengthened. In other words, the roles of universities within the Innopolis should be activated. Finally, the government should provide relevant policy supports to activate the interactions between innovation actors within innovation cluster.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.313-340
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• 2017

This paper explores the interaction between innovation intermediaries and firms' absorptive capacities and performance from the perspectives of regional innovation system and innovation cluster. This paper is an empirical study for drawing two research questions by examining firms in Daedeok Innopolis. First, does the relationship between firms and innovation intermediaries have a significant effect on the absorptive capacity and performance of the firm? Second, does absorptive capacity mediate the relationship between innovation intermediaries and performance of the firm? According to our analysis, innovation intermediaries have a positive effect on firms' absorptive capacity, as well as innovation and business performance of firms. Also the absorptive capacity plays a significant mediator role in this intermediation process. This paper implies that the firms could expand opportunities and build competitive advantage by fully understanding the innovation process and the interaction between innovation intermediaries and firms in this innovation process.

• Industrial Engineering and Management Systems
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• v.12 no.1
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• pp.63-72
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• 2013

The aim of this paper is to analyse the impacts of R&D cooperation and obstacles to technological innovation on the innovation failure of the Korean manufacturing firms. Two hierarchical regression models including interaction variables are employed for the analysis. Some interesting findings are: first, almost all the obstacles have positive and significant effects on the failure. Second, R&D cooperation positively or negatively moderates the impact of obstacles to technological innovation on the innovation failure, although R&D cooperation itself is not directly related to the failure. Third, the interaction effects between the cooperation and the obstacles influence the failure in various manners. This study is expected to help manufacturing firms which are under unfavourable environments to formulate their cooperation strategies successfully based on what they learn from the failure.

• Journal of Korea Technology Innovation Society
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• v.1 no.3
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• pp.285-298
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• 1998

Innovation with strategic interaction is to overcome the technological uncertainty and to create co-evolution through competition among individuals or organizations for the acceleration of innovation. The concept of innovation in the past was concentrated on cooperation rather than on competition for the efficient management of limited resources. However, in order to minimize the technological uncertainty, we need an innovation on the basis of competition between organizations. Competition stimulates technological adaptability. It is on the analogy of complex system. This is to satisfy consumers' needs, to transform the resources into a technology, and to apply for the development of new products and new technologies. If the emergence of a new technology threatens present technology and develops into a new level of technology through inter-relation, it becomes a mutually supporting technologies. When theses effects are simultaneously realized, it is possible for firm to have strategical innovation and to create a mutually evolutionary development. Furthermore, when the competition among more than two individuals or two organizations continues towards the same direction, the mutual competition and cooperation can be expected to create a synergy effect. The competitive environment should be composed of R&D, production, and consumers' choice. This will lead to interaction among organizations through strategic competition and cooperation. Intra-firm competition and Inter-firm competition are required to exist together.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.377-386
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• 2013

The purposes of this study is to examine the effect of fitness Among Characteristics of CEO, Company's innovation and Management Control on Organization Performance. CEO characteristics are investigated by the risk-taking propensity, need for achievement. Company's Innovation are measured by product innovation, technological innovation. Management control are applied by action control and result control. Organization performances are analyzed by internal performance, growth performance, financial performance. the research methodology applied in this paper is contingency theory by Drazin and Van de Ven(1985) - selective approach, Interaction approach, system approach. This paper was applied by the Three way interaction term among CEO characteristics, Company's Innovation and Management control to analyze the influences to the organization performances. As a result of this paper, there are the differences between Two way interaction terms or three way interaction terms to affect the organization performances. this paper can confirm the desirable combinations between two or three variables(CEO characteristics, Company's Innovation and Management control) to affect significantly to the particular organization performance.