• 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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.31
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• pp.73-80
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• 1994

Sequentiality in decision making is an inherent characteristic of the R&D Process, Conceptual changes are noted during the Course of the Project which represent a continuous improvement in the quality of the data available during the various project stages. In this paper, Eight characteristic types of project evaluation models have been developed economic index models, portfolio models, decision theory models, risk analysis models, frontier models, scoring models, profile models and checklists. Each of these will be critically reviewed and appraised.

• 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.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.557-569
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• 2013

Risk management activity for successful defense R&D project should be done anticipatorily and consistently over the entire project period and there should be a priority for management depending on importance of the risk factors. In this study, we verified the reliability and validity through factor analysis for the risk factors selected by the Delphi technique. We also obtained the relative importance of risk factors with analytic hierarchy process (AHP) and decided to prioritize for comparison of domestic and overseas research. According to the study, we found that it is important to settle the requirements and to classify the scope of R&D. It is also considered significant to have reasonable schedule for completion and secure the necessary resources in the early stage of project. Unlike previous studies, it appeared the technical factors are critical elements as well for defense R&D project.

• Journal of Service Research and Studies
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• v.12 no.3
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• pp.60-69
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• 2022

In this study, to verify the effectiveness of the persona-type consumer analysis data service, a study was conducted focusing on the consumer analysis service use case of www.ethno-mining.com. The case was targeted at the 'Small Business Design Difficulty Resolving Support Project' of the Gangwon Institute of Design Promotion. The progress of this study was to develop a questionnaire to measure the user satisfaction and effectiveness of the service, study the consumer analysis data of the persona method of the www.ethno-mining.com system, study related theories, compare similar services, and conduct questionnaires; The results were analyzed and tested. In the result of testing the participants in the 'Small Business Design Difficulty Resolving Support Project' of the Gangwon Design Promotion Institute, the persona-style consumer analysis data got a positive response in terms of user satisfaction, and a regression that measures the effectiveness of the service on the company's R&D In the analysis, it was found that there are practical effects for companies by reducing time, reducing costs, smooth communication between developers, securing expertise in consumer analysis, and improving the overall quality of R&D during R&D.

• IE interfaces
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• v.24 no.4
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• pp.314-322
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• 2011

This study analyzes a relationship between Data Envelopment Analysis(DEA) efficiency scores and a normalization index in order to examine the validity of DEA models. A normalization index concerned in this study is 'sales per R&D project fund' which is regarded as a crucial R&D project performance evaluation index in practice. For this correlation analysis, three distinct DEA models are selected such as DEA basic model, DEA/AR-I revised model(i.e. DEA basic model with Acceptance Region Type I constraints) and Super-Efficiency(SE) model. Especially, SE model is adopted where efficient R&D projects(i.e. Decision Making Units, DMU's) with DEA efficiency score of unity from DEA basic model can be further differentiated in ranks. Considering the non-normality and outliers, two rank correlation coefficients such as Spearman's ${\rho}_s$ and Kendall's ${\tau}_B$ are investigated in addition to Pearson's ${\gamma}$. With an up-to-date empirical massive dataset of n = 482 R&D projects associated with R&D Loan Program of Korea Information Communication Promotion Fund in the year of 2011, statistically significant (+) correlations are verified between the normalization index and every model's DEA efficiency scores with all three correlation coefficients. Especially, the congruence verified in this empirical analysis can be a useful reference for enhancing the practitioner's acceptability onto DEA efficiency scores as a real-world R&D project performance evaluation index.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.455-465
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• 2008

Recently the discussion on broadcasting and telecommunications convergence has been actively advanced, the convergence service which pulls down the guard of broadcasting and telecommunications industries is already embodied from the market. We need to clearly define a broadcasting and telecommunications convergence in order to develop promising convergence technologies based on future demands for broadcasting and telecommunications convergence. In this study, we consider both broadcasting and telecommunications as 'services-centered industries' and suggest new R&D project selection criteria. This could be used to present a new direction in R&D project management.

• 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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.2
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• pp.89-96
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• 2010

This study explores the application of the analytic network process (ANP) approach for the evaluation of R&D projects with heterogeneous objectives. The ANP model in this study produced the final priorities of projects with respect to several performance measures when there are interdependencies between research objectives and performance measures. The paper provides value to practitioners by providing a generic model for R&D project evaluation. The ANP approach is tested against empirical data drawn from fourteen R&D projects under six different objective programs sponsored by the Korean government.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.28-37
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• 2019

Various fields are being combined and developed for the development of the country and industry. The purpose of this study is to examine the effects of interdisciplinary research on the technology commercialization of researchers in the national R&D project. For the purpose of empirical analysis, major research and development have been reviewed. Major research and development projects conducted by government-funded research institution in which various technological fields are integrated in order to commercialize technology. The research data is based on the major R&D project data for railway/public transportation/logistics fields technology in 2015-17, and 149 project were selected for analysis. As a result, it was found that diversity of participants' experts had significant positive effect on technology commercialization when R&D expense, The number of research participants, The number of participating organizations, TRL before R&D were controlled. It is expected that the results of this study will be used meaningfully when the R&D program plan, analysing the academic convergence factor of research topic.