• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.261-270
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• 2010

As the usage of social network service(SNS) increases recently, great attention has been shown to the information security in SNS. However, there has been little investment in SNS environment for security while preferential investment to attract subscribers has been made so far. Moreover, there is still a lack of confidence for investment effect and an absence of framework to analyze the threat factors of information security in SNS. In this paper, we propose to model for decision-making standard of SNS information security investment by the AHP. The result shows that 'service image' is the most important criterion for the decision of SNS information security. It also shows that 'Profile-squatting and reputation slander through ID thefts' and 'Corporate espionage' are important threat factors in SNS information security.

• The Journal of Fisheries Business Administration
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• v.39 no.1
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• pp.133-162
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• 2008

In 1970, direct overseas investment in Korean fisheries started to sell the frozen marine products to Singapore with establishing local subsidiary. Direct overseas investment in China has carried out since Korea and China established diplomat relationship in 1992. the former day, The Korea invested indirectly in China via Hong Kong. It has reported that 253 local subsidiaries applied to China government permit at the end of 2004. The results will make a decision on whether to invest continuously. The results of actual proof analysis has announced that a successful investment of fishery company is mainly influenced in its own government policy. Many advantages of tax and administration for foreign company in China have been changed and vanished comparing to the beginning time of entering china. So. it is imperative for Korean government to take measures to changing policy of Chinese government. The early days, investment of fishery company is type of resources and abundant resources will affect succeeding investment. Nowadays, the type of the investment is the production oriented investment. And then many direct investment linked the production oriented investment have been conducted in many area in China. So. the production oriented investment will affect logistics and successful investment in China. And, The factor of Market potential in Market Factors in the middle of changing market oriented investment will conclude whether to invest. As the china exchange system changed from the fixed exchange system to the fluctuating exchange system. Risk of exchange rate will affect corporate's parent business. The local risk (regulation of import and export, remittance) will affect succeeding investment of corporate's parent.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.2
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• pp.39-60
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• 1995

In this paper, an integration of stochastic dynamic programming (SDP), integer goal programming (IGP) and analytic hierarchy process (AHP) is proposed to handle multiobjective-multicriteria sequential decision making problems under uncertainty inherent in R & D investment planning. SDP has its capability to handle problems which are sequential and stochastic. In the SDP model, the probabilities of the funding levels in any time period are generated using a subjective model which employs functional relationships among interrelated parameters, scenarios of future budget availability and subjective inputs elicited from a group of decision makers. The SDP model primarily yields an optimal investment planning policy considering the possibility that actual funding received may be less than anticipated one and thus the projects being selected under the anticipated budget would be interrupted. IGP is used to handle the multiobjective issues such as tradoff between economic benefit and technology accumulation level. Other managerial concerns related to the determination of the optimal project portifolio within each stage of the SDP model. including project selection, project scheduling and annual budget allocation are also determined by the IGP. AHP is proposed for generating scenario-based transformation probabilities under budgetary uncertainty and for quantifying the environmental risk to be considered.

• Environmental and Resource Economics Review
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• v.33 no.3
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• pp.203-239
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• 2024

The introduction of a regional differential electricity rate system is being discussed, and the LMP (Locational Marginal Price) method is mentioned as a promising alternative. Under this background, this study analyzed a mathematical model and suggests that the LMP method produces results that maximize social welfare. The analysis was conducted separately for long-term decision-making where transmission capacity can be expanded, and for short-term decision-making in which transmission capacity is given. The analysis for short-term decision-making was conducted for peak load situations where capacity is insufficient and for non-load situations with spare capacity. The results of the analysis suggested that the price to maximize social welfare is equal to the marginal power generation cost by region, and the difference in marginal cost by region reflects the value lost due to transmission loss and compensation for transmission network investment. In addition, if the transmission capacity is less than the optimal capacity, the compensation for transmission network investment exceeds the incremental cost, providing an incentive to invest in the transmission network. If the transmission capacity exceeds the optimal capacity, the compensation for transmission network investment becomes lower than incremental cost or zero and the investment is not recovered, suppressing the investment in transmission networks. The results are the same as the LMP method suggests, and this means that this method maximizes social welfare and provides an optimal transmission network investment signal. The above analysis results contribute to understanding the characteristics of LMP. In addition, this study discussed what changes are needed in the electricity market when introducing the LMP concept.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.553-562
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• 2016

Then, it investigated the investment preference through the previous studies to analyze the influence factor of investment satisfaction and demonstrated the effects through the PLS (Partial Least Squares) regression. In addition, it separated the target type to institutional investors and retail investors and carried out the survey for comparing the investment preference of investor type. The result of analysis found out that institutional investors emphasis on investment preference such as the Inflation hedge, Early payback, Financial stability, Leverage risk and etc. Then, general investors emphasis on investment preference such as the Rental income, Facilities and Equipment, Business area and population, Ease of use, Leverage risk, Early payback and etc. In addition, common investment preferences are the Leverage risk, Early payback and Facility accessibility.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.252-269
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• 1995

Organizational decision support systems(ODSS) are a new type of decision support systems(DSS) focusing on the organization-wide issues rather than individual, group, or departmental issues. Because of its organization-wideness, which means an ODSS cuts across organizational functions or hierarchical layers, seamless integration with organization's diverse IS applications running on heterogeneous platforms becomes a critical issue. In this paper, we analyzed the Korea Telecom(KT)'s Operations & Maintenance(O&M) division focusing on its investment strategies. We developed a conceptual framework which links O&M investment to its performance. We also developed a prototype of KTOM-ODSS with an EIS-like user-friendly interface.

• Asia pacific journal of information systems
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• v.20 no.3
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• pp.91-114
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• 2010

An IT system within a company play increasingly important role as a significant part of corporate assets. The IT system possesses an extraordinary ability to improve an organization's efficiency, effectiveness and productivity by providing competitive advantages and improving strategic business decision capabilities. Indeed, providing a more secure IT environment, improving employee productivity and enhancing business process and strategic decision capabilities are key areas to improve corporate performance. However, existing research on IT ROI of return on IT investments does not provide solid justification to stakeholders. In this paper, we analyze the IT investment during the past 28 years from 1982 to 2009 and present the results in two dimensions. First, we show the IT solution implementation analysis by years and industries based on 1,240 IT success cases from 8 different sources such as major Korea IT newspaper, IT magazines, and IT vendors. Then, the paper presents the relationship between IT capability through IT success cases and corporate business performance among 32 industries.

• International Journal of Railway
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• v.5 no.4
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• pp.144-147
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• 2012

New transport technologies have been rapidly developed and various transport systems are ready to introduce. However, there no exists effective decision making tools for pre-feasibility studies on transport systems. The pre-feasibility studies should provide reliable solutions about whether a certain transport system is feasible or not by cost-benefit analysis and effectiveness test of enhancing regional economy. This study introduces the smart transport investment/information system (SMARTIS) for supporting decision making with ease, fast and reliable methods. The SMARTIS incorporates travel demand estimates into the process of feasibility studies with automatic data processing methods to give reliable solutions quickly. The SMARTIS is expected to be informative for transit agencies, planners, and operators.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.129-141
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• 2015

Because land based aquaculture is restricted by high investment per rearing volume and control cost, good management planning is important in Land-based aquaculture system case. In this paper master production planning was made to decide the number of rearing, production schedule and efficient allocation of water resources considering biological and economic condition. The purpose of this article is to build the mathematical decision making model that finds the value of decision variable to maximize profit under the constraints. Stocking and harvesting decisions that are made by master production planning are affected by the price system, feed cost, labour cost, power cost and investment cost. To solve the proposed mathematical model, heuristic search algorithm is proposed. The model Input variables are (1) the fish price (2) the fish growth rate (3) critical standing corp (4) labour cost (5) power cost (6) feed coefficient (7) fixed cost. The model outputs are (1) number of rearing fish (2) sales price (3) efficient allocation of water pool.