• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.310-312
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• 2003

This paper discusses a GIS based decision support system that provides functions of prospect screening and evaluation in both technical aspects (Volume, structure, trap, reservoir and charge, etc.) and economic aspects (Net present value, Profit / investment Ratio, etc.). The decision support system has been tested in a virtual offshore exploration prospect to facilitate and improve the decision making process. The study represents a test bed for decision makers at all levels to establish prospect screening and evaluation guidelines that may be applicable to other related prospect investment issues.

• 한국경영과학회지
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• 제17권2호
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• pp.145-162
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• 1992

This paper proposes two design principles for expert systems to solve a stock market timing (SMART) problems : machine knowledge and fuzzy post-adjustment, Machine knowledge is derived from past SMART instances by using an inductive learning algorithm. A knowledge-based solution, which can be regarded as a prior SMART strategy, is then obtained on the basis of the machine knowledge. Fuzzy post-adjustment (FPA) refers to a Bayesian-like reasoning, allowing the prior SMART strategy to be revised by the fuzzy evaluation of environmental factors that might effect the SMART strategy. A prototype system, named K-SISS2 (Knowledge-based Stock Investment Support System 2), was implemented using the two design principles and tested for solving the SMART problem that is aimed at choosing the best time to buy or sell stocks. The prototype system worked very well in an actual stock investment situation, illustrating basic ideas and techniques underlying the suggested design principles.

• 경영정보학연구
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• 제9권2호
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• pp.149-168
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• 2007

IT 투자성과의 정량화에 대한 필요성이 높아짐에 따라 학계와 연구단체에서 IT 투자성과의 화폐가치 전환 및 정량적 평가를 위한 다양한 측정방법들을 개발하여 제시하고 있으며, 이들 기법을 활용하여 IT 투자성과를 정량적으로 평가하는 기업들이 점차 늘고 있다. 그러나 이와 같은 IT 투자성과의 정량적 평가 기법을 도입한 기업의 실무자들은 화폐가치로 전환되어 도출된 결과들이 가시적으로 확인될 수 있는 것이 아니기 때문에 IT가 제공하는 실 효과를 제대로 반영하여 평가되었는지에 대하여 확신하지 못하고 있다. 이에 본 연구는 IT 투자성과의 정량적 평가 결과를 기존의 많은 연구를 통해 IT 투자성과의 정성적인 평가로 입증된 사용자 만족도로써 설명이 가능한지 파악하여 보기 위하여 기업의 사례 분석을 통해 그 상관관계를 분석하였다. 사례 연구 결과, 다음과 같은 시사점을 도출하였다. 첫째, 정보화 효과금액은 사용자 만족도와 상관관계가 있다. 둘째, 합리적인 정보화 효과금액의 도출을 위해서는 조직 내에서 시스템의 효과를 정량화할 수 있는 지표 개발 및 화폐전환 데이터의 관리가 중요하다. 셋째, IT ROI는 시스템 간의 성과를 비교하는 것에는 부적절하며 개별 시스템의 성과 및 효율성 측정 기준으로 사용하는 것이 적절하다. 넷째, 정량적 평가가 여전히 시스템의 전략적인 부분 등에 대한 평가에는 미흡하기 때문에 이를 보완하기 위한 방법으로 사용자 만족도를 함께 사용하는 것이 바람직하다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.1014-1023
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• 2002

This study discusses the prior researches on concepts regarding the analysis of IT investment effect in an organization as proposed from academic and professional perspectives. In addition, we looked at the possible issues that fan arise from implementation stage based on the example of development of IT investment management process at Company A. This study makes contribution in examining the potential issues and their relevant solutions when implementing the management process/system of If investment based on the case of Company A. At Company A, there is much knowledge that Is being adopted directly from suggested principles of the academic and professional fields as employee needs and requirements are met in advance. But, there is customized knowledge as well in order to best describe the specific situation. We partly try to distinguish the concepts and realities by understanding the core issues involving the IT investment management process/system and make practical suggestions for the companies that plan to implement the efficient IT investment management process/system in the future.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.545-547
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• 2004

This paper proposes the novel investment priority decision method for distribution facilities considering the potential failure rate and the influence of customer caused by faults in distribution networks. The Proposed method decides the investment priority of the facilities combining, by the fuzzy rules, the KEPCO's priority decision for investment and the priority decision considering SAIFI(System Average Interruption Frequency Index) and SAIDI(System Average Interruption Duration Index). To verify the performance of the proposed method, these works utilized the projects for weak facility reinforcement planned in KEPCO in the Busan region in 2003 and 2004. The evaluation results showed that the reliability of the KEPCO in the Busan region using the proposed method can be enhanced more than using the conventional KEPCO's method.

• Journal of Information Technology Applications and Management
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• 제16권4호
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• pp.205-222
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• 2009

Considering time-lag in the performance evaluation of information system (IS) investment is important because its effect reveals after certain period of time passed. Particularly it is more in the systems of e-government informatization projects which the amount of investment and the scale of business are huge. Many methods to solve this issue have been proposed such as system dynamics methods, simulations, structural equations etc. However, it is still difficult and unsolved problem because collecting practical data for time-lag analysis is very hard. In this paper, we analyze IS time-lag effect through factor analysis using the accumulated practical operational DB data. For the performance evaluation of the G4C system, the representative e-government web portal, we selected eleven factors reflecting time passing in G4C DB data. With these factors this paper conduct time-lag analysis in four view points. First, we conducted 'Stabilizing of G4C system' and got a result that IS is needed about three years for the stabilization. Second, we conducted 'Utilization of G4C system' and got a result that the utilization reaches appropriate level after in three years later after the introduction of G4C system. Third, we conducted 'Cost reduction effect' and got a result that cost reduction is stable in the third year after the introduction of G4C system. Lastly, we conducted 'System maturity effect' and got a result that the system reaches to the quality level that users expect after third to fourth years. According to the results of this research, we found that performance of IS improv continuously not immediately, and it needs three or four years of time-lag.

• 산업경영시스템학회지
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• 제28권3호
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• pp.121-132
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• 2005

Nowadays, Information Technology(IT) has become one of the most critical managerial decision areas, because its role in the business practice tends to be more important and hence the amount of the investment in growing. Since there is no dominant and promising measure to evaluate the IT performance, the managements have difficulties on the decision process for IT investment. In this paper, we propose an IT performance evaluation model. The proposed model starts with finding the business performance evaluation areas and the corresponding KPIs, and then concentrates on the IT performance evaluation areas corresponding to the business performance evaluation areas. To extract the specific and reliable KPIs for the IT performance measure, we map the business performance evaluation areas into the corresponding IT performance evaluation areas and then combine and adjust these KPIs with the KPIs obtained from the experiential field interview. Finally, We present the complete model which has 11 business performance indices and 48 IT performance indices are completed.

• 한국IT서비스학회지
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• 제20권1호
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• pp.11-27
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• 2021

The defense IT master plan is the plan for promoting defense informatization and is established by the Ministry of National Defense every five years. In addition, an implementation plan has been established in accordance with the master plan every year to promote the informatization project. However, since there is no systematic methodology to check and analyze the master plan comprehensively, it is difficult to judge whether the goals suggested in the master plan are achieved, and continuous monitoring of the project is limited. This study proposes a concept and framework for defense IT investment management and proposes a methodology for examining and analyzing the progress of the defense IT plan by referring to the U.S. Department of Defense's IT Plan and the performance management structure of the national IT master plan. As a methodology for managing defense IT investment, we propose an IT investment management code system from the perspective of an IT portfolio and verify its applicability through case studies. The results of this study are expected to improve the defense IT performance management system and improve the efficiency and effectiveness of the defense IT project.

• 산업경영시스템학회지
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• 제14권24호
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• pp.105-109
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• 1991

In the comparative study of investment alternatives with different life times. It is wrong to compare a long-life time alternative with different life times. It is to wrong to compare a long-life time alternative with a short-life time one by the same measure; therefore, a measure is needed which is suitable for the characters of alternatives. The purpose of this study is in present a method to evaluate investment alternatives with different life times and to explain the assumptions and calculating method.

• 산업경영시스템학회지
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• 제41권4호
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• pp.101-110
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• 2018

This study aims to objectively measure the efficiency of nanotechnology R&D programs by systematically evaluating the inputs and outputs of nanotechnology R&D activities and to find implications for improving the efficiency of nanotechnology R&D programs. Data on input factors such as R&D investment, R&D manpower, R&D period, and output factors such as paper, patent, and commercialization for R&D projects which started from 2008 or afterwards and ended by 2011 are gathered through National Science and Technology Knowledge Information Service, which are used for efficiency evaluation. In this study, we analyzed R&D efficiency in detailed technology units in depth. The process taken in this study is as follows. First, the basic statistics of input and output factors to compare and analyze R&D investment, R&D manpower, R&D period, paper, patent, and commercialization status by technology unit are analyzed. Next, DEA models are utilized to derive the overall efficiency, pure technology efficiency, and scale efficiency by conducting the efficiency evaluation for each technology unit, from which implications for strategic budget allocation are derived. In addition, partial efficiency evaluation is conducted to identify advantages and disadvantages of each technology unit. In turn, cluster analysis is performed to identify similar technology units, from which implications for efficiency improvement are derived.