• Proceedings of the Korean Operations and Management Science Society Conference
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• 1988.10a
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• pp.9-9
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• 1988

• Journal of the Korean Society for information Management
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• v.6 no.1
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• pp.15-36
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• 1989

The r a p i d i n c r e a s e o f microcomputer technology has r e s u l t e d i n t h e broad a p p l i c a t i o n t o various f i e l d s . The purpose of t h l s paper 1s to design a computerized r e t r i e v a l system f o r nuclear information m a t e r i a l s using a microcomputer.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.3
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• pp.207-231
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• 2008

Domestic and foreign research institutions what give speciality information to public of the field of science wish to plan of their continuos development for providing efficient information about various science-technology information. new database system, expasion of acquisition information. making a new information service system of user etc. This article indicates wish to contribute ideal National R&D formation system establishment as analyzed and researched into the present state of R&D information system construction of the representative institutions in three countries such as Korea(NTIS), the U.S.(NTIS), and Japan(JST) for efficiently management about present management system of information service of R.O.K.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.123-142
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• 2012

To develop an intelligent search engine to help users retrieve information effectively, various methods, such as Semantic Web, have been used, An effective retrieval method of such methods uses ontology technology. In this paper, we built National R&D ontology after analyzing National R&D Information in NTIS and then implemented National R&D Knowledge Map to represent and retrieve information of the relationship between object and subject (project, human information, organization, research result) in R&D Ontology. In the National R&D Knowledge Map, center-node is the object selected by users, node is subject, subject's sub-node is user's favorite query in National R&D ontology after analyzing the relationship between object and subject. When a user selects sub-node, the system displays the results from inference engine after making query by SPARQL in National R&D ontology.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.1-6
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• 2020

A portfolio matrix analysis was conducted to improve R&D productivity of the government-funded R&D projects in the energy sector. 27 projects (42 detailed technologies) in 2018 were evaluated on a 5-point scale in terms of availability and technology competitiveness, and portfolio matrix analysis was conducted twice. The results of the portfolio matrix analysis could provide the landscape of on-going R&D projects at a time and could be utilized as feedback data to establish development strategies for individual projects, while establishing differentiated management directions to improve R&D productivity in each of the four areas of the portfolio matrix.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.19-33
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• 2015

Recently, interest in research and development (R&D) investment decisions have increased among Korean domestic enterprises. However, existing R&D investment studies only focused on government R&D investment policies while only a few studies investigated firm level R&D investment. Prior literatures also overlooked the feedback loop between R&D investment and firm performance. Therefore, this paper identifies a system dynamics model for R&D investment decision making in domestic electronics firms. The conceptual model is derived from R&D investment-related theories found in bodies of literature on company performance, enterprise activity, and market maturity. This study investigates the dynamic feedback between R&D activities and sales using the system dynamics model. In other words, the system dynamics model is used to explain the change in the closed feedback circulation structure in R&D investment activities including technology development, production process, and marketing that subsequently result in sales increase and re-investment into R&D from the generated revenues. There are two major results. First, a similar ratio of investment on technology development and production process derives the higher company sales. Second, regardless of market maturity, marketing investment ratio positively affects sales and R&D budget growth. This study provides a system dynamics model to find the optimal ratio for R&D investment and suggests managerial strategic implications on electronic firm R&D investment decision making under market maturity condition.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.1-16
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• 2013

The purpose of study is to promote the development of medium size enterprises(MSE) by analyzing the causal relationship between technology acquisition strategy and firms' performance. In this study, we use the number of intellectual property, sales growth rates, and return on sales as proxy variables of technological and financial performances. This study includes internal R&D investment, cooperative R&D with academy, foreign technologies transferred, and their interaction effects as the independent variables. The results of study are as follows. Frist, R&D Investment, Foreign Technologies Transferred and their interaction effects are positively influence on technological performance. Second, Cooperative R&D with academy and the interaction effects of R&D Investment and Cooperative R&D with academy are negative influence on technological performance. On the other hand, all of the main independent variables and the interaction effects have non-significant relationships with financial performances. These results imply that technological innovation efforts of MSEs do not effectively increase their financial performances. Furthermore, technological supports of government and academy on MSEs' innovation do not effectively increase their innovation outputs. Finally, this study discussed its theoretical and practical implications and the limitations of the study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.1
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• pp.1-28
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• 2008

In this research, an empirical analysis was performed to determine the correlation between management performance and Empirical Research on the R&D investment for domestic venture businesses in each industry. Specifically, an empirical analysis for each industry was attempted not only to clarify the general hypothesis on the relationship between management performance and R&D investment for venture businesses but also to demonstrate that differences exist for each industry. Empirical analysis was conducted for eight industries with respect to the $2002{\sim}2006$ panel data extracted as investigative results from the "Investigation Report on Science and Technology R&D Activities" published by the Ministry of Science and Technology. Industrial classification was limited to the middle-level classification (2-digit) in the Korea Standard Industry Code (KSIC) owing to the limited number of panels. Although this research only verified the overall positive effect of R&D activities and funds for existing research on corporate value or productivity and management performance, it was able to document the difference for each individual industry and each business size unlike existing research. Furthermore, the reliability of the research results was enhanced by targeting companies that have been continuously conducting R&D and management activities using consistent 5-year panel data in the analysis. Again, this was something that existing research did not have. Finally, through the use of recent data from 2002 after the IMF economic crisis up to 2006 in the empirical analysis, this research proposed the problems due to the prevailing circumstances at the time of entering the advanced nation stage based on an empirical analysis; the prevailing problems during the pursuit of advanced nation status before the IMF crisis broke out were not tackled. The key empirical analysis yielded several results. First, capital and size of the labor force have a positive correlation with the management performance for the entire company or the venture business. This applies to all eight industries as the subjects of the analysis. Second, although the number of years since a company has been established can have positive or negative correlation with management performance for the entire company or venture business in specific industries, a definite overall trend cannot be identified. Third, R&D investment can be said to have an overall positive effect on corporate management performance. Fourth, the size of the research staff cannot be said to be a factor unilaterally affecting the management performance of the entire company or the venture business. Fifth, the number of years a research institute has been in operation, which was assumed to have a positive effect on the management performance of a company because of the accumulated R&D know-how -- definitely acts as a positive factor contributing to the management performance of a company.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.3
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• pp.386-395
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• 2018

Quality management is essential to achieve the desired quality throughout a program. Especially in phase of research and development(R&D) of a program, that is an effective and efficient way to achieve the quality goals and improve the quality of a program in total life cycles. For applying the quality management to a R&D program, characteristics of the program should be considered in various aspects. In this study, the characteristics of developments of defense weapon systems were analyzed and the meaning of quality in that field was defined. And then, application methods of the quality management were established and the quality management model with four view points(external, organization, programs, practices) was proposed. In addition, detailed tasks of the quality management activities were described and some examples of applying the model were introduced.

• Asia pacific journal of information systems
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• v.13 no.3
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• pp.243-259
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• 2003

Many R&D organizations have interests on knowledge management system(KMS) to organize and utilize their knowledge resources. Currently, for research collaboration and knowledge management R&D organizations use either a specialized knowledge management system or a set of general application systems such as basic messaging system and document management system. The objectives of this paper are to identify important functionalities of knowledge management systems based on team characteristics and knowledge process of research teams in research organizations and to provide implications to design and implement knowledge management system for R&D teams. Survey results show that research teams perceive communication, collaboration and connection functionalities are important when their team sizes are large or they are distributed. During knowledge capture process, they need personalization of knowledge to reduce information overload.