• 한국전자거래학회지
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• 제6권2호
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• pp.57-71
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• 2001

This paper provides an economic evaluation model for public web services which are mainly operated by government agencies. Though there are various services, this paper focus on services for bottleneck problem solving and management information providing. This paper suggests quantitative and qualitative effects of public web services and evaluates them with I-NET users using e-mail surveys. This Paper mv provide a guideline for the future investment on public web services.

• 경영과학
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• 제28권3호
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• pp.61-72
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• 2011

This study suggests a DEA(Data Envelopment Analysis) based model to evaluate the value of corporate stock. The model integrating PER(Price-Earning Ratio), PBR(Price-BookValue Ratio), PSR(Price-Sales Ratio) and volatility in DEA structure has an advantage of overcome the limitation of traditional financial ratio based models. In order to show the effectiveness of the suggested model. we compare the performance of portfolio composed by DEA approach with those of portfolios made by traditional approaches such as PER, PBR, and PSR in terms of stock return and volatility. Specifically, we use the data of all the enterprises listed on the S&P 500 in the U.S. in 2007 and 2009 as the sample data for the experiments. The results of the experiments show that the performance of the DEA approach is clearly better than those of other approaches. Particularly, in sharply plummeting market, the performance of the DEA approach is shown to be prominently better than those of other approaches as the DEA approach reflects investment risk as well as profitability and growth. The DEA score combining the existing investment indices may serve as a useful barometer for selecting a stable and profitable portfolio.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.1005-1015
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• 2020

This paper aims to propose a Comprehensive Decision Support Model to evaluate retail companies' financial performance traded on the Vietnam Stock Exchange Market. The financial performance has been examined in terms of the valuations ratios, profitability ratios, growth rates, liquidity ratios, efficiency ratios, and leverage ratios. The data of twelve companies from the first quarter to the fourth quarter of 2019 and the first quarter of 2020 were employed. The weights of 18 chosen financial ratios are calculated by using the Standard Deviation method (SD). Grey Relational Analysis technique was applied to obtain the final ranking of each company in each quarter. The results showed that leverage ratios have the most significant impact on the retail companies' financial performance and gives some long-term investment recommendations for stakeholders and indicated that the Taseco Air Services Joint Stock Company (AST), Mobile World Investment Corporation (MWG), and Cam Ranh International Airport Services Joint Stock Company (CIA) are three of the top efficient companies. The three of the worst companies are Viglacera Corporation (VGC), Saigon General Service Corporation (SVC), and HocMon Trade Joint Stock Company (HTC). Furthermore, this study suggests that the GRA model could be implemented effectively to ranking companies of other industries in the future research.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.2309-2318
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• 2010

It is a plan the government increases a railroad section SOC investment, and to activate railroad construction while a railroad wins the spotlight with green transportation. But an error of the demand forecast that is a base of a railroad investment evaluation follows in occurring big, there is it with an operation with an obstacle of a railroad investment. Case of the Incheon International Airport Railroad which went into operation recently, While a present transportation demand showed about 10% than a demand forecasted in a past conference, it was magnified in a social problem. A lot of research was gone on in road project about traffic demand forecast and error, a study to find out the error cause is an insufficient situation although errors of a railroad occurs big. So, this study looked for errors and causes about trip generation model and modes sharing model of railroad demand forecast but it was defined causes so that it can occur similar problems in the future. Especially it investigated causes after comparing rate of development plan for the realization and O/D size in trip generation model and after comparing rate of modes sharing of past and current and conducting a survey for airport users. In conclusion, it suggested method to reduce errors of railroad demand forecasting in the future.

• Journal of Information Technology Applications and Management
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• 제15권3호
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• pp.195-208
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• 2008

In an emergency management case, evaluating the economic value of information technology investments is a challenging problem due to the effects of decision making, uncertainty of disasters, and difficulty of measurements. Risk assessment and recovery process, one of the major functions in emergency management, consists of (1) measurement of damages or losses, (2) recovery planning, (3) reporting and approving budgets, (4) auctioning off recovery projects to constructors, and (5) construction for the recovery. Specifically and of our interest, measurement of damages or losses is often a costly and time-consuming process because the wide range of field surveys should be performed by a limited pool of trained agents. Managers, therefore, have to balance accuracy of the field survey against the total time to complete the survey. Using information technologies to support field survey and reporting has great potential to reduce errors and lowers the cost of the process. However, existing cost benefit analysis framework may be problematic to evaluate and justify the IT investment because the cost benefit analysis often include the long-run benefit of IT that is difficult to quantify and overlook the impact of managerial control upon the investment outcomes. Therefore, we present an alternative cost-centric control model that conservatively quantifies all cost savings to replace benefits in cost benefit analysis and incorporate the managerial control. The model provides a framework to examine how managerial decision making and uncertainty of disaster affect the economic value of IT investments. The current project in Emergency Agency in South Korea is introduced as a case to apply the cost-centric control model. Our work helps managers to better evaluate and justify IT-related investment alternatives in emergency management.

• 지식경영연구
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• 제22권4호
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• pp.87-101
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• 2021

ESG 투자가 금융시장의 대세이자 상식으로 부상하고 있다. ESG 투자는 기업의 재무실적 이외에 환경, 사회, 거버넌스 등 비재무적 요소를 투자의사결정에 반영하여 장기적 관점에서 사회의 지속가능성과 투자수익을 동시에 추구하는 투자방식이다. 본 연구는 일반적으로 알고 있던 ESG 투자의 특징이 코로나19를 계기로 어떻게 변화하고 있는지를 환경, 사회, 거버넌스 관점에서 살펴보았다. 이후 코로나19가 유가증권시장에 부정적 요인으로 작용하였는지 여부를 VAR 모델을 활용하여 규명하였다. 동시에 미국과 한국의 ESG 인덱스와 벤치마크를 수익성과 변동성 관점에서 분석하여 ESG 투자가 팬데믹 국면에서도 유효한 전략임을 확인하였다. 본 연구 결과는 팬데믹 이후에도 ESG 투자의 중요성이 변함없을 것이라는 점을 시사한다. 동시에 경영자들이 수동적 ESG 경영을 지양하고 지식경영을 토대로 한 전략적 ESG 경영에 나서야함을 시사한다.

• 한국건축시공학회지
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• 제2권4호
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• pp.123-129
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• 2002

This research is aiming to specify the requirement of the investment such as initial cost, running cost earning rate to make effective investment considering the purpose of remodeling and economical value of store building enough to meet the initial purpose of remodeling. The review of earning rate for economical evaluation was performed by the on-site auditing on the structure and function of the building and applying the assessment simulation program, which is to find the possible business model to identify the requirement of building owner through case study. After the research, the following results are obtained. First, it is important that many aspects should be carefully analysis and the best method should be selected as characteristics of remodeling can tie defer each other in their implementations. Second, though the remodeling of exist buildings to promote the functions has been applied. no suitable assessment tool has bee developed for deriding the level of remodeling in the view of economical efficiency so far. Third, the economical benefit was evaluated by analysing annual earning rate which is applied by investment items and recovery period for the investment. More specific data base should be established to apply the suggested economic accession in business enough to forecast the future circumstances. More researches should be promoted on this area continuously as well as the integrated economic evaluation of remodeling on existing building.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2002년도 e-Biz World Conference
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• pp.155-174
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• 2002

e-Business가 기업의 경쟁력확보에 필수불가결한 요소로 여겨지면서 많은 기업들이 e-Business 에 대한 투자를 늘리고 있으며, 나름대로 e-Business에 대한 비전을 수립하고 있다. 그러나. 이러한 변화에도 불구하고 e-Business 방향성 제시를 위한 방법론이 개발되어 있지 않아, e-Business 도입을 위한 구체적인 계획의 수립이 어려운 실정이다. 따라서, 본 연구는 e-Business를 도입하고자 하는 기업으로 하여금 e-Business 도입 시 우선적으로 고려해야 하는 e-Business 도입영역을 선정하는 방법을 제시하였다.

• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.83-92
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• 2022

최근 유럽에서 보건의료 서비스에 대한 국가 재정 투입을 경제적 이해득실만으로 평가하는 것을 경계하는 건강투자 패러다임이 확산되고 있다. 이에 본 논문은 건강투자 패러다임의 핵심 모델과 정책 콘텐츠를 분석하고 그것의 함의를 도출하고자 한다. 이를 위해 건강투자 관련 WHO, EU(/EC), 유럽 국가들의 핵심 정책 자료, 연구 논문을 전통적 내용분석 방법을 통해 분석했다. 분석 결과, 유럽의 건강투자 패러다임은 기본 및 확장 모델을 중심으로 생애주기적 건강투자 원칙에 기반한 12가지 건강투자 정책과 투자의 사회적 혜택(SROI) 평가 방법 적용이 핵심 콘텐츠로 구성되어 있었다. 이상의 분석 결과와 건강투자 패러다임을 둘러싼 세 가지 논쟁(경제 성장 간 선순환 구조, 매튜 효과, 국가 역할 축소)은 포스트 코로나 시대 한국의 지속 가능한 보건의료시스템과 경제 발전 선순환 구조 형성을 위해 유럽의 건강투자 패러다임의 비판적 변용이 필요함을 시사한다.

• 농업과학연구
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• 제47권4호
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• pp.743-752
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• 2020

The purpose of this study was to estimate the economic evaluation of a smart farm investment for tomatoes and strawberries. In addition, the potential adoption rate of the smart farm was derived for different scenarios. This study analyzed the economic evaluation with the net present value (NPV) method and estimated the adoption potential of the smart farm with the trade-off analysis, minimum data (TOA-MD) model. The results were as follows: The analysis of the net present value shows that the smart farm investment for the two crops are economically feasible, and the minimum prices for the tomatoes and strawberries should be 1,179 and 3,797 won/kg to secure a sufficient economic feasibility for the smart farm investment. Next, the analysis of the potential adoption rates for smart farms through the TOA-MD model showed that when the support ratio for the adoption of a smart farm system was 50% and the price increase rates were, respectively, - 5, 2.5, 0, 2.5, and 5%, the conversion rates for tomato farms to switch to smart farms were 0.97, 1.78, 3.05, 4.91, and 7.47%, while the ratios of the strawberry farms to switch to smart farms were 0.12, 0.29, 0.65, 1.33, and 2.53%, respectively. This study has some known limitations, but it provides useful information on decision making about smart farm adoption and can contribute to government policies on smart farms.