• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.347-352
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• 2001

Midtown redevelopment project is intended for restoration of city's declining function and promoting the utilization of land, but several factors such as participants of different nature in the project, different expectation level from them, high land value accompanied by geographical location as a city and the demand for high density development, nature of business that requires long duration to complete and vast amount of fund contribute to complication of feasibility study. Due to these characteristics of midtown redevelopment project, consideration of various factors involved with it and reliable analysis are required but suggested complication of feasibility study is causing halt in project, preventing from launching it and delaying it. So, this study was undertaken to be a help to feasibility study of midtown redevelopment project by suggesting main elements that need to be dealt with analysing questionnaire survey result attained from related expert in this area and arranging total 45 factors essential to feasibility study for midtown redevelopment project that can be classified into 5 main category such as economic/financial factors, legal/institutional factors, market related factors, technical factors and conflict related factors through documental investigation, case study and interview with specialist concerned.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1764-1776
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• 2014

This study is the context about an introduction of a bookkeeping by double entry & accrual base accounting which is the turning point of National Accounting and defense integrated financial management which is delivered following system Digital Budget Accounting system, in other words about something to do with the improvement of efficiency of financial information data. National defense Integration Financial Information system (NDIFIS) facilitates Project program management and makes the whole process of Defense financial Business manageable in one system. Also, there is a purpose to increase the credibility and transparency of National defense finances by providing internal and external information users with credible financial statements and cost materials. By using data envelopment analysis (DEA) which is a useful method to measuring the efficiency of organization, this study aims to improve the financial information data efficiency by comparing the efficiency of the same type troops and when it comes to the inefficient troops, by offering the certain objective of efficiency.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.76-84
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• 2003

The bankruptcy possibility of construction firms have been higher by the environment of current construction industry. Thus, converting management environment for growth into that for value or profit is required. Nowadays, funds of construction firms is almost provided by financial institutions. As the firms' size grow, they have a form of fund provision through the securities market; however, fair distribution for returns is not practiced by opening company. Especially, construction firms lost trust of Investor by lack of awareness to firm clearness, and then a vicious cycle of no effectiveness in fund provision through securities market is continued again. On this study correlation between stock quotations and primary financial factors of firms in order to grasp actual management condition in construction firms was analyzed. By this, the correlation between stock quotations and the result of firm management was provided. Also, necessity of firm's capital provision was explained, thus ways to ensure firm clearness was searched.

• Korean Journal of Construction Engineering and Management
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• v.11 no.1
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• pp.113-121
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• 2010

Since the cut-down of the purchasing price of the feed in tariff(FIT) in 2008, the numbers of photovoltaic projects get decreased, contrary to investment expansion policy of government on renewable energy. The root cause of the decrease is the irrationality of the current purchasing price structure of FIT as well as the adversity of fund raising due to the global financial crisis. This study proposes the FIT calculating model (Cost & Benefit Risk Based Purchase Price Process : CBRP3) reflecting the fluctuation of cost and benefit risks. The first step is to establish the photovoltaic generation alternatives, and to calculate each distribution data of the investment and the power generation quantity. The FIT for each alternative is, then, assessed through simulations. Finally the proposed FIT scheme is compared to the present FIT scheme and future study subjects are derived.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.90-102
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• 2018

In preparation of the increase in the domestic debts and the rise in the US interest rate, the Korean government has started to strengthen the regulation on the property market since 2017. So, it is likely that the sales in the domestic construction market would be decreased. Even in the overseas plant projects market, as there has been the continuous increase in the cost and the resulting increase in the losses, it looks hard for the large construction companies to keep their credit ratings as they are now. This study is designed to check Korean government's property policy and any possible problems caused by the overseas and domestic economic environment, which include the property market policy, interest rate, rise in the property price and lackluster sales in housing market. It showed the change in the credit ratings by finding out the sales, work capability, sales in non-governmental projects, operating profits and PF contingency liabilities. For this study, the questionnaires were sent to 30 practical experts to analyze the effect of the risk factor on the outside credit rating of large construction companies.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.652-655
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• 2007

Due to stagnation of domestic market, increasing number of domestic construction companies started to make inroads into foreign market recently. Yet compared to domestic market, there are much more risks in the foreign market which companies may confront. So deliberate and rational decision making skills are required. Accordingly, there has been many researches which analyzed the risk of individual markets and also studies covering decision support models. In this study, we suggest a model concerning financial issues when branching out into a new market, specially in the construction companies' point of view. For this we used a real options game which shows real competition status of a new market and deduced a feature of that market, Upon these results, we also suggest a model which helps firms to decide whether investing in the expansion is smart action or not. The model developed in this study is made in specific circumstances of limited conditions. The future study makes more realistic models considering subjects like disproportion in information and generalization of competing companies.

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.47-66
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• 2016

Once it has been built, a container terminal is impossible to move to another location. It is hard to rectify wrong decisions in a container terminal. This highlights the importance of decision making for a container terminal. The port management about a container terminal has developed from a cargo interface location between sea and land transport, to the standardization of information and procedures due to globalization among global shipping and terminal operators. This research focuses on the current states of market and management for global container terminal operators by investigating up-to-date data for them. The current market states for global container terminal operators are analyzed by using by Herfindahl-Hirschman Index. The analyses of current management states for global container terminal operators are divided into profitability analysis, activity analysis, and bankruptcy risk analysis. Finally, global container terminal operators are clustered into three groups by the current management states.

• International Area Studies Review
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• v.21 no.2
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• pp.171-196
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• 2017

This study employed the Analytical Hierarchy Process (AHP) methodology with the enhancement of the competitiveness of Vietnamese commercial banks set as the overall goal of the model. Analysis of the survey questionnaire based on pair-wise comparisons and collected from experts in the field of banking led to three significant findings. First, banking safety is the most important evaluation criteria for the competitiveness of local commercial banks in Vietnam, followed by operating efficiency, intangible values and large scale. Second, in order to achieve the overall goal of enhancing competitiveness for local banks, securing healthy financial conditions should be made the priority. Effective management systems, strategic human resource planning and high-quality products and services all show strong connections to achieving the evaluation criteria. Third, the study found that bad debt settlement is essential in obtaining healthy financial conditions. In order to introduce effective management systems as well as high-quality products and services, technological advances are very important. Improving the quality of executives and staff is imperative for strategic human resource planning purposes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.11-20
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• 2024

This study presents TabNet, a novel deep learning method, to enhance corporate credit rating accuracy amidst growing financial market uncertainties due to technological advancements. By analyzing data from major Korean stock markets, the research constructs a credit rating prediction model using TabNet. Comparing it with traditional machine learning, TabNet proves superior, achieving a Precision of 0.884 and an F1 score of 0.895. It notably reduces misclassification of high-risk companies as low-risk, emphasizing its potential as a vital tool for financial institutions in credit risk management and decision-making.