• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.549-556
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• 2020

Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.121-135
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• 2011

We provide an economic evaluation model to help managers make reasonable decision for the investment in the appropriate type of cloud computing. Cloud computing can be classified into public, private and hybrid architecture and we evaluate their attractiveness using traditional NPV and real option methods. We conduct economic analysis by comparing traditional software delivery model with various types of cloud computing. The work compares each mode of cloud computing against each other using passive NPV and dynamic real-option method. For more objective and conservative evaluation of investment alternatives, we eliminate conventional benefits that are often subjective or hard to measure, and count only the reduction of investment cost and maintenance cost as benefit. We argue that hybrid and public cloud computing can be undervalued without their intrinsic options such as abandonment, expansion and contraction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1259-1265
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• 2007

In order to accelerate the development of the Film Industry of Korea it is quite necessary to evaluate the value of Film Production Company appropriately and then to activate investment through its work of estimating. So far however, the researches on the evaluation model for Korean Film Production Company has been rarely conducted considering those of any other advanced countries. Therefore, the appropriate valuation model among numerous valuation model for film firms has not been provided until now. So the purpose of this article is to suggest the rational decision making criteria for the investment of Film Production Company by comparing with DCF, FCF, and ROV model through the empirical research focused on case study. According to the results of research, ROV model is more efficient and available comparing other two methods.

• Korean Management Science Review
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• v.30 no.1
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• pp.73-89
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• 2013

This paper develops an investment algorithm based on Markowitz's Portfolio Selection Theory, using historical stock return data, and empirically evaluates the performance of the proposed algorithm in the U.S. and the Hong Kong stock markets. The proposed investment algorithm is empirically tested with the 30 constituents of Dow Jones Industrial Average in the U.S. stock market, and the 30 constituents of Hang Seng Index in the Hong Kong stock market. During the 6-year investment period, starting on the first trading day of 2006 and ending on the last trading day of 2011, growth rates of 12.63% and 23.25% were observed for Dow Jones Industrial Average and Hang Seng Index, respectively, while the proposed investment algorithm achieved substantially higher cumulative returns of 35.7% in the U.S. stock market, and 150.62% in the Hong Kong stock market. When compared in terms of Sharpe ratio, Dow Jones Industrial Average and Hang Seng Index achieved 0.075 and 0.155 each, while the proposed investment algorithm showed superior performance, achieving 0.363 and 1.074 in the U.S. and Hong Kong stock markets, respectively. Further, performance in the U.S. stock market is shown to be less sensitive to an investor's risk preference, while aggressive performance goals are shown to achieve relatively higher performance in the Hong Kong stock market. In conclusion, this paper empirically demonstrates that an investment based on a mathematical model using objective historical stock return data for constructing optimal portfolios achieves outstanding performance, in terms of both cumulative returns and Sharpe ratios.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.2
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• pp.144-156
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• 2012

In recent years, advanced countries in energy sector are emphasizing the importance of the development and deployment of renewable energy to cope with the global environmental crisis such as depletion of fossil energy, climate convention to control emissions of greenhouse gases. In this paper, we evaluate the economic value of the investment in new and renewable energy R&D in Korea and optimal deployment timing of new and renewable energy by using the real option approach. The real option model adopted in this paper assumes that a decision maker has a compound option to abandon, deployment, or continue the R&D. As a result by using empirical data of Korea, it is found that there exists a considerable amount of positive real option value (ROV) in the investment of new and renewable energy R&D while its net present value (NPV) calculated by traditional discounted cash flow (DCF) model shows negative value.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.197-211
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• 2003

Intensified competition, splintered mass market, shortened product life cycles, and advanced technology and automation let companies to crease the IT investment to meet the changes, Although IT investment increased, IS didn't show the visible outcome. One of the major interest of IS managers is how to demonstrate the business value of the firm's investment in information technology. This paper proposes the revised model of Nelson & Cooprider(1990) regarding shared knowledge between IS and line groups. Knowledge can be shared through mutual trust, mutual influence and communication between these two groups. The revised model including communication is tested empirically using LISREL. The results show that shared knowledge mediated the relationship between IS performance and mutual trust, mutual influence and communication. And shared knowledge between IS and line groups increase IS performance. IS managers should develop mutual trust, mutual influence and communication between these groups to achieve more shared knowledge and higher IS performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.151-161
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• 1999

For many decades, Deterministic DCF approach has been widely used to evaluate investment opportunities. Under new manufacturing conditions involving uncertainty and risk, the DCF approach is not appropriate. In DCF, Risk is incorporated in two ways: certainty equivalent method, risk adjusted discount rate. This paper proposes a determination method of the Risk Adjusted Discount Rate for economically decision making advanced manufacturing technologies. Conventional DCF techniques typically use discount rate which do not consider the difference in risk of differential investment options and periods. Due to their relative efficiency, advanced manufacturing technologies have different degree of risk. The risk differential of investments is included using $\beta$ coefficient of capital asset pricing model. The comparison between existing and proposed method investigated. The DCF model using proposed risk adjusted discount rate enable more reasonable evaluation of advanced manufacturing technologies.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.249-255
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• 2008

This paper developed the computerizing assessment system modeling of the natural gas and district heating DSM programs. It constructed as each project in accordance with the business investment plans & assessment DB, related M&V data DB and cost-effectiveness analysis data DB. It is composed of total 58 tables which are 22 tables which are used in the plan and the assessment, 16 tables which are used in the cost-effectiveness analysis, 18 tables which are used in the M&V, table which is used in qualitative evaluation, as by each programs. This computer programs can contributed to DSM business investment system construction as implementing for algorithm development and an estimation by each programs.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.2
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• pp.86-97
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• 2006

From the mid 1990's, the scale of IS had been growing, which resulted in increasing number of failure projects. As a result, the measurement of IS performance was a growing concern. Moreover, the need for research on the relation between IT investment and performance that isfd the concern of CEOs has been raised. In this study, the correlation between the IS functionality and investment was discovered based on the IS success model suggested by DeLone & McLean(1992), a business information system evaluation model by Lee Kuk Hie(1992), a balanced score card by Kaplan & Norton(1992). As a result of the LISREL analysis, the investment in the IS has a positive impact on the quality of both information systems and information. In turn, the quality of both information systems and information have a positive impact on the end-user satisfaction, the end-user satisfaction on the financial performance, customer satisfaction, and internal business processes. This study showed that sufficient investment in IS improved business performance

• Journal of Information Technology Services
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• v.6 no.1
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• pp.65-81
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• 2007

Recently, the affiliates of the Ministry of Information and Communication have been conducting a performance evaluation study on IT policy projects, based on the performance evaluation model of the U.S. Office of Management and Budgets, with regard to investment in computerization. The performance evaluation model for the policy project could provide the objective information required for the planning, development, and operation of the policy project. However, the performance of the most policy project is likely to be evaluated using the subjective evaluation criteria of evaluators. Therefore, this case study evaluates the relative efficiency using DEA (Data Envelopment Analysis) in order to improve the performance evaluation method of the digital pioneer' project implemented by the Korea IT Industry Promotion Agency. The improvement value of inefficient Decision Making Units (DMUs) was measured by a static efficiency analysis. The measured value will suggest a objective viewpoint of the performance between DMUs to evaluators. In doing so, it will show an appropriate direction for the policy project to be evaluated successfully.