• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.233-246
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• 2013

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.529-549
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• 2015

For the spread of the open access institutional repository in Korea, this study aims to analyze the factors affecting the acceptance of the repository. To gather the research data, a questionnaire survey was conducted for acceptance and non-acceptance institutions of the open access repositories. The questionnaire consisted of questions based on the revised R-TDM. Integrated Technology Diffusion Model is a theory that seeks to explain how, why, and at what rate new technology and innovations spread through specific factors and cultures. According to the data analyzing, technology acceptance level of social factors was turned out the most effective factors to make a decision to accept the repository to their institutions. And institution factors, innovation resistance factors, and system factors were arranged in order of strong influence. This study will provides the basis for developing policies for dissemination and spread of repositories in Korea.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.05a
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• pp.231-242
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• 2006

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1243-1261
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• 2017

Mobile telecom markets have dramatically increased in the last decade due to a remarkable subscriber base growth. The diffusion patterns of the services are a major concern for mobile carriers preparing those new services. We assume that the diffusion patterns of those services will be similar to those of previous mobile services, and discovering the diffusion patterns of those services is an essential task of mobile carriers for preparing the next mobile services. This study attempts to classify some groups which show similar diffusion patterns of mobile services. Using a traditional diffusion model, this study estimates diffusion patterns of twenty five western European countries. The estimation is based on the monthly penetration ratio of those countries from 1993 to 2004. Based on the estimation, the cluster analysis discovers that there are two different countries groups in terms of mobile diffusion pattern: high imitation countries and low imitation countries. The critical point for classifying the two groups in terms of imitation effect was 0.90. The results provide the basis for developing a causal relationship model which explains the different diffusion pattern of mobile services and planning new networks for the advanced mobile services.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.483-494
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• 2006

The purpose of this study is to suggest the framework for innovation policy that the approach to popularization, diffusion, and S&T culture through the science and technology(S&T) fair. The innovation policy has a role which suggests direction to do behavior and concerns to social members. According to, this point of the diffusion of the S&T culture emerges the reasonable and adoptable innovation policy. Korean S&T fair have many problems, for example, a short historical background, lack of the fund and special human resource, so on. In this aspect, this study provides theoretical reviews and several issues for publicity of the innovation policy and S&T popularization and culture through the representative case-Future Tech Korea2006. Also, this study argues that "How to build and improve S&T fair", and "What the figure of S&T is that communicate and approach to people". Finally, the research for the S&T fair gives detailed and realized strategies for improving them.

• Journal of Aerospace System Engineering
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• v.10 no.4
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• pp.41-49
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• 2016

This research intends to make a model of space development in Korea as a sectoral innovation system. The main contents include a character analysis of the elements of three low levels of the space development innovation system, including governance (the main agent and cooperation relationship of which the center is a research institute supported by government), resources (financial resources and human resources), and the diffusion of research results. It is important to grasp the factors that bring about technological innovation of industrial sectors to produce technological innovation policy. Technology innovation policy should thus be formulated for specific, individual sectors, and not all sectors.

• Asia Marketing Journal
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• v.8 no.3
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• pp.1-11
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• 2006

The Bass model assumes two communication channels: mass-media and word-of-mouth. In this paper, we call the mass-media Type I channel of communications. The word-of-mouth channel means interaction between non-adopters and adopters. Let us call it Type II channel of communications. In the real world, however, the non-adopters who are not aware of the innovation can be affected by communications with other non-adopters who are aware of it. Let us call it Type III channel of communications to differentiate with Type II channel. This paper analyzes the impact of Type III channel on diffusion process. The result shows that exponential growth patterns (for example, the adoption patterns of the blockbuster movies) can be observed when non-adopters are influenced by other non-adopters who aware of the innovation.

• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.05a
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• pp.169-192
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• 1999

• Proceedings of the Korea Technology Innovation Society Conference
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• 2002.11a
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• pp.73-82
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• 2002

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.11a
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• pp.259-272
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• 2003