• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.61-61
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• 1991

We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently

• Korean Management Science Review
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• v.16 no.2
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• pp.61-77
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• 1999

We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently.

• Management & Information Systems Review
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• v.13
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• pp.127-140
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• 2003

Although there have been continual researches in the project scheduling problems since 1960s, the main interest has been how to improve the efficiency of a single project. The minimization problem of the project completion time given a preassigned budget might be an example. This kind of the problem is important, but estimating of the proper budget for a project may also be very important. This research deals with the budget allocation problem for the multiple project. This research is unique in that the project scheduling techniques are used for the budgeting problem. Therefore, this research may be used as a strategic decision model for the multiple large projects in public sector.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.12
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• pp.181-188
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• 2019

The maintenance of school building is pivotal issue. However, it is difficult to obtain basic analysis data for LCC(Lifecycle Cost) analysis and maintenance planning of school building. Therefore, this study proposed System Dynamics(SD) techniques to make maintenance decisions for school building. The interaction between the major parameters related to the aging of a building, maintenance activities, and cost were expressed in Causal Loop Diagram. Based on this, the formula for the relationship between causal maps was defined and converted to Stock and Flow Diagram. Through the completed SD model the 50-year plan of 214 educational building were tested by considered in account budget, maintainability, and budget allocation opinions. As a result, the integrated SD model demonstrated that it can support strategic decision making by identifying the status class and LCC behavior of school buildings by scenario. According to the scenario analysis, the rehabilitation action of preventive maintenance that primarily repairs the buildings in condition grade C showed the best performance improvement effect relative to the cost. Therefore, if the proposed SD model is expanded to consider the effects of other educational policies, the crucial performance improvement budget can be estimated in the long-term perspective.

• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.373-390
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• 2003

With limited resources, proper allocation of the national R&D budget is very crucial matter for reinforcing the national competence, and the importance of selecting strategic R&D fields have been increasingly emphasized by technology policy-makers and CTOs. This paper deals with technology relevance/cluster analysis, which measures technological dependency and relevancy among technologies, and how it can be used for selecting the strategic R&D fields especially satisfying SMEs(small and medium enterprises)' specific needs. As a result of this study, technology-product tree composed of 7 major technology fields, 22 clusters, 41 groups, 335 core-need technologies and hundreds of related business items are produced that can be used for designing SMEs' R&D/business portfolio as well as R&D investment decision-making of the Ministry of Small and Medium Business Administration.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.1
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• pp.153-181
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• 2013

Weather is an influential factor to sales of companies. There have been growing attempts with which companies apply weather to developing their strategic marketing plans. By executing weather marketing activities, companies minimize risks (or negative impacts) of weather to their business and increase sales revenues. In spite of managerial importance of weather management, there are scarce empirical studies that comprehensively investigate its impact and present an efficient method that optimally allocates marketing budget. Our research was conducted in two parts. In the first part, we investigated influences of weather on sales based on real-world daily sales data. We specifically focused on the contextual factors that were less focused in the weather related research. In the second part, we propose an optimization model that can be utilized to efficiently allocate weather marketing budget across various regions (or branches) and show how it can be applied to real industry cases. The results of our study are as follow. Study 1 investigated the impact of weather on sales using store sales data of a family restaurant company and an outdoor fashion company. Results represented that the impacts of weather are context-dependent. The impact of weather on store sales varies across their regional and location characteristics when it rains. Based on the results derived from Study 1, Study 2 proposes a method on how optimally companies allocate their weather marketing budgets across each region.

• Environmental and Resource Economics Review
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• v.17 no.4
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• pp.719-749
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• 2008

Using the cost-risk portfolio approach, this study suggests a fiscal budgeting model that provide a measure to allocate fiscal budget among the strategies responding to oil crisis. In addition, it calculates the appropriate fiscal distribution among policy measures for the 2000 to 2006 fiscal years. According to the empirical results, a certain amount of budget should be allocated to the option using futures markets. The strategic stockpiling option turns out be hard to be included in the policy portfolio due to its costs much higher that the other options. Oil well development option should take more than half of total budget since its expenses are assumed to be relatively low.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.9-19
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• 2016

Since continuous expand in governmental R&D investments and growth number of research institutions, model of multi-agency program has been planned and pushed ahead to settle the inefficiency of investment by the scattered and competitive R&D Programs. However, it was often pointed out that new model's effect has been fall because the institutional inertia of cooperative system between agencies. In this study, we analyze the current state of multi-agency program and suggest the optimal R&D governance model to improve a better direction. Afterward, several problems were turned up and that allocation and execution of the R&D budget separately, less coordination and cooperation among agencies, and absence of typical evaluation system of multi-agency program. Therefore, we suggest some of improvements by analyzing each steps.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2030-2037
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• 2010

In this study, We will find approach to improve the efficiency of business support policies for small-medium enterprises(SMEs) in the regional strategic industries. Especially, based on the customized needs of SMEs in strategic industries, we intend to find directions of the business support policy. we can use the decisions criteria(for example, business strategy, business portfolio, effective budget allocation, core business plans, etc.) by research results. To achieve the research objectives, we surveyed from 243 SMEs in regional strategic industry. we found the differences of industry characteristics, strategy and industry-specific by growth stages. Thus, this result implies the necessity of creating a customizing policy for SMEs. We found implications about the efficiency improvement of regional industrial policy. In conclusion, regional industrial policy must reflect the central government's policy direction of regional industries and the demand of SMEs.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.1
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• pp.106-123
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• 2019

Demand for performance analysis is increasing for efficient use of limited budgets such as improving investment efficiency and strategic budget allocation in accordance with the continuous increase demand of R&D budget for developing advanced weapon systems in the future battlefields. In accordance with the Act on the Performance Evaluation and Performance Management of the National R&D Projects established in March 2006, the performance analysis has been conducted for the systematic management and utilization of the R&D project performance. It was recognized as a project to achieve self-defense through strengthening the weapons system development capability, however, efficiency evaluation of Defense R&D projects was not much emphasized. Research on the efficiency analysis of defense R&D projects has been conducted in recent years, but most studies focused on corporate efficiency and productivity of defense companies. In this study, we analyzed the three-stage performance of defence R&D projects based on the logical model using the data envelope analysis(DEA) model. We also analyzed performance analysis from various perspectives through R&D type, technology classification and performance model. This study is expected to help defense department improve defense R&D projects and make decision.