• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.76-84
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• 2021

Military aircraft R&D projects require large-scale investment in cost and time, and involve a complex coordination process in decision-making. The R&D project manager should determine the development management priorities as accurately as possible and focus on R&D capabilities, thereby reducing the risks of the aircraft R&D project. To this end, this study aims to reduce R&D risk by prioritizing cost, schedule, and performance, which are basic management factors used in R&D project management in defense project management regulations. Analytic Hierarchy Process (AHP) is applied using a questionnaire for managers in charge of aviation R&D under the Defense Acquisition Program Administration. As a primary result, the importance of the factors that the aircraft R&D project manager should consider was derived in the order of performance, cost, and schedule, and the priorities of performance and cost in the lower layer were also identified. In addition, in order to provide practical risk management measures to aircraft R&D project managers, the results of analyzing 28 cases of US National Transportation Safety Board accidents were compared and analyzed with the AHP analysis results, and management measures suitable for the situation were specified.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2004.03a
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• pp.184-189
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• 2004

• Journal of Korea Technology Innovation Society
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• v.18 no.4
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• pp.590-620
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• 2015

Although the investment scale and the qualitative performance of national research and development project in Korea have been increased, the practical use of the performance is still insignificant. Thus it becomes more important to understand and analyze factors that affect commercialization of national R&D project. Most of prior literatures have done with qualitative research rather than data-based analysis; however, mostly focusing on influential factors in between R&D inputs and outputs and it remains as limitation. The important key to avoid the limitation in this study is using data-based analysis of factors (such as research performance, types of research institution, scale of the government fund, project structure, competency in the researcher, and technical field) that affect commercialization with the case of the Competitiveness Enhancement in Material and Component Industries. As a result, patents performance, scale of the government fund, and technical field turned out to be influential factors of commercialization. On the other hand, research performance, types of research institution, project structure, and competency in the researcher did not show statistically significant results. To increase commercialization in project scheme, process, and assessment of national R&D project, including the Competitiveness Enhancement in Material and Component Industries project, it is required to design scientific research with better understanding of causal relationship.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.149-161
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• 2012

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

• Asian Journal of Innovation and Policy
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• v.5 no.3
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• pp.315-329
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• 2016

Public R&D investment information has diverse implications for researching R&D trends. Also, as it is important for the establishment of R&D policy to grasp the current situation and trends of R&D to improve science and technology level, science and technology information service system, such as NTIS (National Science & Technology Information Service), is operated at a national level in most countries. However, since the data forms provided by current NTIS are raw data, it is necessary to develop the R&D performance indicator or to use additional scientometric methods by analyzing scientific papers or scientific R&D project information for grasping R&D trends or analyzing R&D task results. Thus, this study applied public R&D investment information to investigate and monitor R&D trends in the field of information & communication technology (ICT) of meteorology and climatology by using NTIS data of Korea and NSF (National Science Foundation) data of USA.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.187-204
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• 2006

According to increasing dependancy of national competitiveness on her level of science and technology, the Korean Government devote herself to expansion of technological capability in nation-wide. As a result, the numbers and sizes of national R&D programs, one of public technology policies, are abruptly increased. Recently, the government closely examines the introduction of performance-based budgeting regime as well as the accountability issue in public sector. In the fulfillment of accountability, it has considerable importance that the government executes measurement and strategic management of their performances of all the national R&D programs, how they are properly executed in conformity with respective missions and characteristics. It needs a tool for clearly measuring the programs' performances. In this study, the Balanced Scorecard (BSC) is suggested as an alternative. However, the logics of ordinary BSC cannot be directly applied to the program unit. This study reviews the basic concept and principles of BSC and discusses the necessary conditions for proper application of BSC into national R&D programs.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.161-190
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• 2016

This study aims to analyze the factors that influence the technological performance of national R&D programs, and to compare these factors with those that affect R&D in the machinery and chemical industry. This study also seeks to explore policy implications for the national R&D programs to meet the characteristics of each industrial technology. The results of this study are as follows: First, big enterprises create more Korean patents than small- and medium-sized enterprises (SME) in the machinery R&D. Moreover, government-funded research institutes produce more SCI articles than enterprises in the chemical technology R&D. Second, there is no significant difference in the number of institutions that participate in the machinery technology R&D. Third, the production of Korean patents and Science Citation Index (SCI) articles on all samples in the machinery industry are influenced by government grants. For instance, in the samples, which consist of enterprises, the creation of overseas patents is influenced by the amount of government grants. Fourth, there is no significant difference in the magnitude of private investment, regardless of the sample and industry. In conclusion, different factors influence the technological performances of the national R&D programs in the chemical and machinery technology R&D. This shows that it is necessary to consider the characteristics of industry-specific technology when making science and technology policies for the national R&D programs.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.223-244
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• 2009

Defense R&D is an essential investment for the national security. Recently our nation has also begun to initiate a number of defense R&D projects. As a lot of fund and resources are allocated to these projects, we need to identify which projects to initiate and then how to manage these projects well. Though there have been a number of studies on R&D projects in commercial sector, there are only a few studies in defense R&D sector. Moreover, these existing defense R&D studies mainly deal with the former issues, which are occurring at the stage of project planing. We are more concerned with project management issues, such as how to manage projects that had already been evaluated to undertake at the planning stage. Specifically our study aims to identify project management factors leading to the success of defense R&D projects. Results of the empirical analysis indicate that management support, user-driven requirements management, and project planning capability are key elements for project performance.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.87-113
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• 2007

For the realization of the national self-defense, the trend of the defense R&D projects becomes global and diverse with the increase of their budget. Thus, for the effective execution of the budget and the successful performance of the projects, the importance of selection, management and evaluation of the R&D projects is emphasized. This study suggests the applicability of a meta-evaluation model for the realization of the successful defense R&D project evaluation system. This study focused on the development of the meta-evaluation model design which can be applicable to the national defense R&D projects. Using the proposed meta-evaluation model, we propose a technique to enhance the fairness and the reliability of the national defense R&D projects evaluation system.

• Journal of Korea Technology Innovation Society
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• v.12 no.4
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• pp.819-839
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• 2009

Proposed increases to the government's R&D budget should be discussed based on merits of meeting efficiency and effectiveness criteria. The evaluation of the national R&D budget and related programs are performed in two areas: a system of R&D budget coordination and allocation, and a system of R&D program performance. This paper mainly focuses on the operational areas of R&D budget evaluation system with a focus on their impact to efficiency and effectiveness. The core view point for a R&D budget evaluation system involves two directions: Firstly, to detail the relationships between the later stage (ex. post) activities such as, program survey, analysis, and program performance evaluation, with the budget evaluation. Secondly, to critically oversee all R&D coordination procedures with a different perspective. Budgeting is generally known as a serial process of policy making, planning and executing. It is highly desirable for the budget to be allocated to, and spent by, specific programs as planned, and that each plan be aligned with a specific policy. As such, a strong relevance between the program structure and budget code system is integral to successful execution. It should be performed using a decision making system which closely examines the link between policy and budget. It is also recommended that systematic relationships be maintained among budget coordination and allocation, performance evaluations of policy and program levels, and program survey and analysis system, and that their operational schedule should be reviewed comprehensively as a one integrated system. The National Science and Technology Council is expected to play a major and practical role as the center of policy planning and should be supported by the objective and unbiased system which covers overall process from policy making to program evaluation. Finally, increased utilization of contents, timely program survey and analysis, and accurate of activity scheduling of budget coordination and allocation, and diligent program performance evaluation all contribute towards a more efficient and effective overall evaluation system.