• Journal of information and communication convergence engineering
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• 제9권5호
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• pp.491-499
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• 2011

In this paper, we offer a new strategic portfolio model for national IT R&D project selection in Korea. A risk and return (R-R) portfolio model was developed using an objectively quantified index on the two axes of risk and return, in order to select a strategic project and allocate resources in compliance with a national IT R&D strategy. We strategize using the R-R portfolio model to solve the non-strategy and subjectivity problems of the existing national R&D project selection model. We also use the quantified evaluation index of the IT technology road map (TRM) and the technical level reports (TLR) for the subjectivity of project selection, and try to discover the weights using the analytic hierarchy process (AHP). In addition, we intend to maximize the chance for a successful national IT R&D project, by selecting a strategic portfolio project and balancing the allocation of resources effectively and objectively.

• 대한안전경영과학회지
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• 제9권2호
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• pp.195-214
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• 2007

The purpose of this study is to explore the applicability of AHP(Analytic Hierarchy Process) to select more productive projects among various proposed projects in a particular company. To achieve this research objective, the characteristics of project evaluation and selection are first reviewed with respect to when, where, and how the decision is made. Then the theoretical basis of the AHP is briefly reviewed along with its mathematical underpinnings to construct the framework of project evaluation and selection. To be more specific, the evaluation and selection criteria were reorganized in the AHP-based framework to make the process of project evaluation and selection more productive. Project evaluation and selection is one of the most important activities for the most companies to be more advantageous in the market. Despite the importance of decision making process of project selection, not many of how to choose the best project were suggested as the reliable project selection methods in the industries. It may be because it involves various activities related to conflict resolution among different evaluation criteria, high uncertainties of market, and the unclear tradeoff among various project objectives. Furthermore, the decision, once made at this point, tends to be irrevocable until the whole process turns out to be a complete success or failure. As the result, the AHP method showed better financial performance rather than the traditional method in a case study.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1564-1569
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• 2009

Project managers play a key role in cost, time, and quality of a project. Selection of an appropriate project manager, therefore, is considered as one of the most important decisions in any construction project. It should be noted that most important decision makings are carried out by the project manager throughout the project. Traditionally, project manager selection in construction companies in Iran is through organizing an interview with candidates and selecting the most appropriate choice in accordance with the capabilities, potentials and individual specifications coupled with the requirements of the project. In the same direction, organizing interview on selection of appropriate candidate is usually carried out by senior managers of companies. Determination of the most important criteria for selection of project managers and also identification of significance coefficient of each criterion can highly help senior managers of companies to make sound selection decisions. In this paper, a numerical model has been considered for determination of significance of each criterion, details of which are submitted for selection of project manager in Iranian petrochemical, oil and gas sector companies. For this reason, all criteria- considered by senior managers of the companies under study- are first determined. Then, information obtained through 38 interviews, conducted by senior managers of the mentioned companies while selecting project manager, is analyzed. Significant coefficient of each criterion is calculated through the accumulated data using fuzzy curves method.

• 한국전자거래학회지
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• 제18권4호
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• pp.327-338
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• 2013

IT프로젝트를 수행하는 기업은 정해진 예산범위 내에서 투자계획을 수립하고 실행하게 된다. 이 과정에서 IT프로젝트를 효과적, 효율적으로 선정하는 문제는 기업경쟁력과 직결되는 중요한 요소이다. 그동안 IT프로젝트의 선정을 위한 다양한 모형이 개발되었으나 예산제약을 고려한 효과적 프로젝트 선정에 대한 연구는 보고되지 않고 있다. 본 연구에서는 예산 제약을 고려하여 효과적으로 IT프로젝트를 선정하는 기법을 제시하였다. 본 연구에서 제안한 모델(AHP-K)에서는 AHP(Analytic Hierarchy Process : 계층분석법) 기법을 적용하여 평가 항목의 가중치와 프로젝트 후보군의 가중치를 산정한 후 배낭문제(Knapsack Problem)를 적용하여 예산 범위 내에서 프로젝트 효용을 최대화하는 선정안을 도출한다. 실제 적용단계에서 고려하는 대안이 많거나 신규대안이 추가되는 경우 쌍대비교의 수행이 어려운 점을 감안하여 대안 비교 단계에서 절대평가법을 적용하였다. 본 연구에서는 제시된 모델을 실제 사례에 적용하여 기존 AHP 모형과 비교 분석함으로써 효과성을 검증하였다.

• 한국정보통신학회논문지
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• 제15권3호
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• pp.501-509
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• 2011

본 논문은 국가 정보통신(IT)분야 연구개발(R&D)사업에 대한 전략과제를 선정하기 위한 모형을 제시한 것으로 우리나라 정부의 New IT R&D정책인 Smile-curve에 맞는 전략과제 선정을 위해 포트폴리오 모형을 적용하였으며, 포트폴리오 모형 중에서 정부정책의 효과적 반영을 위해 일반적인 R-R(Risk-Return) 포트폴리오 모형을 국가 R&D 체계에 맞게 개발 적용하였다. 또한, R-R 포트폴리오 모형의 평가항목 중 평가항목의 객관성 확보를 위해 TRM(기술로드맵)과 TLS(기술수준조사)자료의 항목을 사용하였으며, AHP(계층화분석)를 통하여 국가전략성, 시장성, 기술성 등 평가항목별 가중치를 설정함으로써 국가 R&D전략과의 연계성을 강화하였다. 또한, 본 모형을 국가 IT R&D 전략과제 선정에 적용한 결과 의미 있는 검증값이 나왔으며, 사업선정단계에서부터 사업의 불확실성을 줄이고 성공률을 높이는 전략과제를 선정하는데 기여하고자 한다.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.662-671
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• 2007

Since variety of construction projects with their individual specifications could be handled through different procurement systems, selection of the most appropriate project delivery system is a vital step towards more efficient project execution. The appropriate selection of project delivery system may also ensure more competent management of the project. Its impacts are not only limited to the first stages of the project, as it could also influence pre-construction, construction and operational phases of the project. Among different approaches exerted for this purpose, none has taken uncertainty into account, despite the fact that during first stages of the project most of the selection factors are still uncertain and not clearly defined. This paper, hence, aims to provide a fuzzy insight into the project delivery system selection. Through this approach more tangible model of the evaluation process may be presented. Proposed fuzzy method is indeed a multi criteria decision making model, based on the group of criteria, assigned for the evaluation procedure. A case study is also conducted, based on the opinion of an invented group of the experts.

• 정보화연구
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• 제9권1호
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• pp.21-31
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• 2012

We focus on the issues of the non-linear return/risk relationship of IT investment and the balance between return and risk of IT portfolio. We develop an IT project selection model by integrating DEA models with Markowitz portfolio selection theory. The project data collected from a Fortune 100 company are used to illustrate the implementation of the model. In addition, computational experiments are conducted to demonstrate the validity of the proposed model.

• 한국콘텐츠학회논문지
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• 제17권1호
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• pp.69-79
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• 2017

본 연구의 목적은 제주지역 양돈농가에 지원하는 농업보조금에 관한 정보제공 및 투명성 등과 같은 사업 선정절차, 구비서류 및 구비조건 등과 같은 사업신청조건이 보조금 지원정책의 만족도와 향후 재신청의도에 미치는 영향을 파악하고자 하였다. 분석결과를 정리하면 다음과 같다. 첫째, 보조금 지원사업의 만족도 향상을 위해서는 사업신청조건 완화보다는 사업선정절차에 대한 만족도 향상을 위한 노력이 필요하다. 둘째, 보조금 지원사업에 의한 소득증대 등의 효과를 통한 보조금 재신청 확대를 위해서는 사업신청조건 완화보다는 사업선정절차에 대한 만족도 향상을 위한 노력이 필요하다. 왜냐하면 보조금 지원사업 선정절차에 대한 만족도 향상 노력은 보조금 지원사업의 만족도 향상뿐만 아니라 재신청 효과를 동시에 향상시킬 수 있는 것으로 나타났다. 따라서 다른 어떤 요인보다도 보조금 사업에 대한 정보제공, 의견반영 등 사업선정절차 만족도 향상에 초점을 맞추어야 할 것이다.

• 대한산업공학회지
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• 제32권1호
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• pp.18-28
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• 2006

Some issues which should be considered in an R&D project selection problem are as follows: First, quantitative analysis on the efficiencies of R&D projects is required to guarantee objective validity in the evaluation of the projects. For this reason, the methodology for selecting R&D projects should be based on mathematical models that perform quantitative analysis. Second, in general there are ordinal factors like Likert-scale in the data for evaluating R&D projects. Previous researches, however, couldn't suggest explicit methods incorporating these ordinal factors into models. Third, for the R&D project selection problems with limited resources like budget, it is necessary to decide the perfect ranking of the all projects. This paper develops a mathematical model that can be applicable to the problems of selecting R&D projects with the previous features. In this paper, we improve the original DEA model for evaluating efficiency to incorporate ordinal factors and suggest a new model which can decide the perfect ranking of all projects by merging the improved DEA model and AHP method. Furthermore a web-based R&D project selection system using the DEA/AHP model suggested in this paper is developed and illustrated.

• 기술혁신연구
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• 제13권2호
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• pp.223-237
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• 2005

This paper explains that tacit knowledge is a critical component for the success of government-led R&D project selection, where rapid and accurate decision making need to be made under lack of information circumstances. It also explores ways to fully exploit the tacit knowledge of experts participating in the Korean government's R&D project selection process. Some of these include: (1) strategic attention from the top officials, (2) forming self-organizing teams, (3) establishing a horizontal and risk-taking culture, (4) encouraging a sense of responsibility in creating and sharing tacit knowledge, and (5) providing a seamless monitoring system and training.