• Journal of Technology Innovation
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• v.5 no.1
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• pp.266-287
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• 1997

The purpose of this paper is to purpose methods and procedures by which we can set up technology planning scheme essential for R'||'&'||'D(or technology) planning in public sector (governmental and government-sponsored institutions), and can develop and select "main R'||'&'||'D projects" which are crucial to R'||'&'||'D planning, were quite specifically discussed in case of I'||'&'||'T(Information '||'&'||' Telecommunications) sector, so that they may not remain theoretical but may be practically applicable to real R'||'&'||'D programs. In this paper, the concept of technology planning was defined as a procedure for establishing nominal planning to acquire technologies efficiently for a specific sector. More detailed definition optimal technology-acquisition strategy, i.e., analyzing technological development '||'&'||' environ-ment, establishing R'||'&'||'D objectives as promising technology opportunities, selecting main R'||'&'||'D projects, allocating resources and so on."The"main R'||'&'||'D projects by technology sectors and by planning phases and then deciding on priority. Scoring method was rsed in assessment phase. Summing up, this paper suggested technology planning scheme of methods and procedures for sorting out required technologies, developing and assessing public R'||'&'||'D projects, and finally selecting main R'||'&'||'D projects.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.58-88
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• 1994

There have been fierce debates on the issue of generalizability of management functions, techniques, and practices between public and private sectors. Recognizing the growing concerns for the similarities and differences in R&D settings between the two sectors, we compared three public and three private R&D institutes in terms of environment and resources, project management, and R&D productivity. Our results show that there coexist similarities and differences at the same time between the two types of R&D institutes. So, we cannot conclude definitely whether R&D management is really generic or not. But, the authors weakly reject the assertion of generic property of management as far as R&D management is concerned.

• Economic and Environmental Geology
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• v.45 no.5
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• pp.579-587
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• 2012

The purpose of this study is to emphasize the necessity of extention of a government R&D planning scope. Presently, government R&D planning is focused on the selecting a R&D project. There is no R&D strategy for R&D conducting such as the composition of R&D team, collaboration and knowledge flow. Ordinarily these strategies are established by research director. This study analyzed the determinants of excellent R&D performance and proposed R&D strategy for R&D conducting using the patent bibliograpy information in energy resources production technology field. On the other hand, this study introduced the concept of technology lifecycle and showed that R&D strategy should be differentiated by technology lifecycle.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1345-1365
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• 2018

Following principal-agent relationship between government and funding agency effects on efficiency and management of project, this paper suppose that project management cost rate variable on outsourcing and administration of institution, applies multiple regression analysis and logit analysis by using factors that procurement status of institutional operating expenses and each subordinates scale (Budget, subject number) and method (Top-down/Bottom-up), not a total amount, for examining factors following project efficiency analysis and way of commission. The major variables which effect on efficiency of institution are management cost scale (0.36), institutional operating expenses ratio (-0.47), way of outsourcing, the factors that affect way of outsourcing are portion of project management cost (-38.5) and institutional operating expenses rate (-11.7). This means both legal and financial stability are necessary and it is avoidable moral hazard and adverse selection on principal-agent problem.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.11a
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• pp.259-277
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• 2000

In this paper, we suggest theoretical grounds on the problem of R&D portfolio with different option premiums utilizing the Real Options Model, which has received intensified attention as the method of assessment of R&D project with high risk. Even though there have been many studies focused on the evaluation of option value of single project from technology valuation's perspective. there are few study on the portfolio of multiple technology investment by option value using. This paper bears practical importance by showing simple examples with the option value of investment alternatives and the valuation of related risk, the construction of optimum portfolio in technology investment alternatives.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.306-317
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• 2021

With a global shift from carbon economy towards hydrogen economy, leading countries such as the U.S., Europe, China, and Japan are focusing their research capabilities on hydrogen research and development(R&D) by announcing various hydrogen economy policies. South Korea also has been following this global trend by announcing hydrogen economy roadmap in January 2019 and legislating hydrogen economy related law. In this paper, we tried to figure out the national R&D trend of Fuel Cell Electric Vehicle(FCEV) and its knowledge structure by using recent 10-year project data of National Technology and Information Service(NTIS). We collected 1,479 FCEV-related projects and conducted text mining and network analysis. According to the analysis, FCEV-related R&D has been actively carried out over the entire process of hydrogen production, transport, storage, and utilization. Furthermore, the paper provides insights into the government's policy agenda building and market strategy on the hydrogen economy.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.191-227
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• 2015

The supply-driven innovation system is encountering its limitation. At the same time, the needs for solving societal challenges occurring in people's lives are growing. Social problem-solving R&D programs have been attracting attention as a countermeasure to satisfy these needs. It is important to understand the social context of the occurring problems as well as the users facing the social challenges. Therefore, social problem-solving R&D programs have to explore the social challenge and users' needs, with emphasis on the collaboration with researchers and users in the development and implementation process. This study carries out comparative analysis between 'Korean Citizen-driven R&D project' and 'Japanese Research institute of Science and Technology for Society (RISTEX)' concerning goals, construction of program, and promotion processes. The two cases are similar regarding the objectives of social problem-solving and the strategy for user participation. However, there are differences between the characteristics of the projects and promotion processes. The RISTEX is performing social problem-solving R&D with a much wider perspectives than the Korean project. This is because the Korean project maintained the existing R&D system with the lens of the supply-driven system, even when approaching social problem-solving. Therefore, this limitation should be overcome by adopting support systems discarding the supply-driven perspective, through substantiality of user participation, maintenance of legal system, and commercialization of technologies.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.363-374
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• 1995

A duopoly model of R&D competition is presented to investigate whether an equilibrium R&D level with flexible spillovers is insufficient (or excessive) from the viewpoint of social welfare. The model focus on flexible spillovers which include much portion of externality occurring in R&D activity. Flexible spillovers refer to the spillovers that vary with industry equilibrium level of R&D. Innovating firms have incentives to cooperate in R&D in the presence of large spillovers. For any symmetric R&D profile, socially desirable equilibrium output is larger than equilibrium output produced in duopoly. Cooperative equilibrium R&D investment is observed to be socially insufficient in terms of welfare criterion irrespective of the magnitude of spillovers. While noncooperative R&D yields socially excessive expenditure on research project for a certain range of spillovers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.242-250
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• 2010

EVMS(Earned Value Management System) is a project management method for analysis of current state of project and estimation of future state by the periodic tracking of schedule and value that activated by the project manager of government and contractor. Some countries, such as U.S.A and Austria, require the use of an EVMS for all major defense R&D project and many cases have proved that EVMS ensures that cost, schedule, and technical aspects of the contract are truly integrated and estimated, and actual progress of the project can be identified. However, the recent implementation of EVMS on Korean defense R&D project has shown number of challenges. In this paper, we defind the cancept of EVMS and analyzed EVMS implementation m order to conduct their problem.

• The KIPS Transactions:PartD
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• v.9D no.2
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• pp.259-266
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• 2002

The main issue in software development is the ability of software project effort and cost estimation in the early phase of software life cycle. The regression models for project effort and cost estimation are presented by function point that is a software sire. The data sets used to conduct previous studies are of ten small and not too recent. Applying these models to 789 project data developed from 1990 ; the models only explain fewer than 0.53 $R^2$(Coefficient of determination) of the data variation. Homogeneous group in accordance with project delivery rate (PDR) divides the data sets. Then this paper presents general effort estimation models using project delivery rate. The presented model has a random distribution of residuals and explains more than 0.93 $R^2$ of data variation in most of PDR ranges.