• Information Systems Review
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• v.9 no.1
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• pp.161-189
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• 2007

The purposes of this dissertation are to identify various factors affecting the outcomes of feasibility analysis and investment decision makings of new IT project plans and empirically analysis the relationships among them. 9 variables which have been drawn from prior studies and industry practices are the amount of the necessary resource such as development budget and time, the expect financial benefits, the degree of alignments between IT projects and the business strategy, the estimated risk, and the investment priority as the dependent variable. Data from 125 IT projects of K bank, the leading commercial bank in Korea, have been collected and Regression Analysis and ANOVA have been performed. As results, 5 out of 8 hypothesis have been accepted partially or totally.

• Korean Journal of Construction Engineering and Management
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• v.21 no.5
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• pp.29-37
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• 2020

This study analyzed the importance of factors according to the investor's perspective through a survey of residential real estate experts using AHP and fuzzy theory. Analysis results showed that rent, profitability, traffic accessibility, commercial and infrastructure, and financial regulation are important in common. By expert group, financial and credit groups cited profitability, rent, traffic accessibility, supply and tax benefits, construction and development groups cited traffic accessibility, rent, direct access, profitability, commercial area and infrastructure, and appraisal and evaluation groups cited rent, profitability, transportation accessibility, financial regulation and supply as the most important factors. This showed that it had a preference characteristic that was associated with work. In other words, it focuses most on the financial perspective in investment characteristics, and it values convenience such as accessibility to transportation and commercial districts and infrastructure as its location characteristics. In addition, it was found that easing financial regulations in the market is important to expand investment in real estate. This study aims to help the business feasibility analysis of residential property developers and rational decision-making of general investors who are consumers, taking into account the various perspectives of the expert group.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.167-176
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• 2005

It has been an important agenda to acquire effective decision making procedure for various issues occurred in education area. As an example, when it comes for the ministry of education to make a decision on such an issue that proper investment, to enhance information of education area, in national wide elementary schools, an effective decision making procedure will aid to establish right way of investment. Currently, the questionnaires gathered from school teachers or the related professional consultants are the only resources in order for making such a critical and important decision. Recently, however, educational, medical, and financial industries are looking forward the best decision making method integrated with rapidly upgraded modern IT technologies using the various resources and tools which they already possess. With this subject in mind, in this paper we present a generic decision making model applying ADALINE neural network. The model can be easily adapted to various problems arising in education area. We proved the model through simulations with realistic sample data.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.206-222
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• 1997

The conventional analysis with which justifies government intervention of the private sector's innovation activities is the market failure approach. According to such analysis, fund allocation through autonomous market mechanisms is not optimal in technology financing because of the disparity between the desirable level of investment for society as a whole and that for private firms. To optimize the fund allocation, public policies such as subsidy, preferencial loan and venture capital investment programs are designed for technology development projects performed by private firms. They, however, have not been effective in increasing private investment for such projects. In most cases, it was found that little considerations given to the relationship between uncertainty embodied in technology development projects and each types of financing. With respect to optimizing fund allocation, technology development projects should be financed by different means according to their probability of success and the expected value of technology. Employing various theoretical models on financing decision-making we verify here that technology development projects to be supported by commercial banks or venture capital institutions is limited contingent upon levels of uncertainty adn expected value. Under the assumption that financial institutions are risk averse, loan or investment can be available only if the probability of success of the project is higher than the probability premium and the current market rate of interest. Therefore, the projects that have lower probability of success and/or small expected return are excluded from commercial loan or investment programs. However, the remaining projects, whose probability of success is low but with high expected return, may be applied under government subsidy programs. To achieve optimality of fund allocation and to activate technology financing, we conclude that there should be a systematic division of role among financial institutions including government commercial banks, and venture capital institutions.

• 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.

• Health Policy and Management
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• v.18 no.2
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• pp.19-38
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• 2008

Financial ratios are key indicators of an organization's financial and business conditions. Among various financial indicators, profitability, financial structure, financial activity and liquidity ratios are frequently used and analyzed. Using the structural equation modeling(SEM) technique, this study examines the structural causal relationships among key financial indicators. Data for this study are taken from complete financial statements from 142 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1998 to 2001 for the purpose of accrediting teaching hospitals. In order to improve comparability, ratio values are standardized using the Blom's normal distribution. The final model of the SEM has four latent constructs: financial activity(total asset turnover, fixed asset turnover), liquidity(current ratio, quick ratio, collection period), financial structure(total debt to equity, long-term debt to equity, fixed assets to fund balance), and profitability(return on assets, normal profit to total assets, operating margin to gross revenue, normal profit to gross revenue). While examining several model fit indices(Chi-square (df) = 178.661 (40), likelihood ratio=4.467, RMR=.11, GFI=.849, RMSEA=.157), the final SEM we employed shows a relatively good fit. After examining the path coefficient of the constructs, the financial structure of the hospital affects the hospital's profitability in a statistically significant way. A hospital which utilizes its liabilities, more specifically fixed liabilities, and makes a stable investment decision for fixed assets was found to have a higher profitability than other hospitals. Then, the standard path coefficients were examined to directly compare the influence of variables. It was found that there were no statistically significant path coefficients among constructs. When it comes to variables, however, statistically significant relationships were found. between. financial activity and. fixed. asset turnover, and between profitability and normal profit to gross revenue. These results show that the observed variables of fixed asset turnover and normal profit to gross revenue can be used as indicators representing financial activity and profitability.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.355-363
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• 2022

The debt maturity structure has a significant impact on a company's financial situation. Any debt maturity structure decisions substantially impact investment decisions due to changes in capital cost and dividend decisions due to cash flow consequences. This study used the system generalized method of moment (Sys-GMM) to investigate the debt maturity structure of real estate companies listed on the Ho Chi Minh Stock Exchange (HOSE) in the duration from 2008 to 20019. It found that the firm size, liquidity, and tangible assets affected the decision on debt maturity structure. The tangible asset had the most significant impact on the possibility for companies to access long-term loans. This finding revealed that the majority of the real estate companies listed on HOSE borrowed money from banks. Such decisions are most likely affected by the collateral. Another finding of the study is that financial institutions had a major impact on loan maturity structure, whereas the effects of the financial market were negligible. Besides, the real estate companies listed on HOSE seemed not to pay attention to changes in inflation, economic growth, and institutional qualities when deciding on the debt maturity structure.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.609-621
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• 2021

Faith-based investment instruments, such as sharia-based stocks, have developed rapidly in recent years. When investing in these instruments, investors tend to emphasize materialistic returns as measured with monetary returns and metaphysical returns, such as blessings from God (Allah) because of their observance of Islamic teachings. In this respect, it is important to investigate the role of individuals' religiosity in investment decision making in Sharia-based financial products. An equally crucial research question is whether individuals' religiosity levels affect expected material returns as measured by the tolerable negative returns of sharia-based stocks. This study relies on a survey method that involves university students in Java island who actively invest through the Investment Gallery of their faculties/ universities as the sample. Data is then analysed with the multinomial regression analysis technique. The results show that individuals who are more observant of their religious teachings are more likely to fully invest their funds in Sharia-based stocks and exhibit greater tolerance towards the negative returns of Sharia-based stocks. The findings indicate that Muslim investors who are more observant of Islamic teachings emphasize metaphysical returns from their investment decisions.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.163-163
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• 2019

The rapidly growing global population increases the awareness of water, energy, and food security worldwide. The concept of Water, Energy, and Food nexus (hereafter, WEF nexus) has been widely introduced as a new resources management concept that integrate the water, energy, and food in a single management framework. Recently, WEF nexus analyzes not only the interconnections among the resources, but also considers the external factors (such as environment, climate change, policy, finance, etc) to enhance the resources sustainability by proper understanding of their relations. A nation-level resources management is quite complex task since multiple regions (e.g., watersheds, cities, and counties) with different characteristics are spatially interconnected and transfer the resources each other. This study proposes a multiple region WEF nexus simulation and transfer model. The model is equipped with three simulation modules, such as local nexus simulation module, regional resources transfer module, and optimal investment planning module. The model intends to determine an optimal capital investment plan (CIP), such as build-up of power plants, water/waste water treatment plants, farmland development and to determine W-E-F import/export decisions among areas. The objective is to maximize overall resources sustainability while minimize financial cost. For demonstration, the proposed model is applied to a semi-hypothetical study area with three different characterized cities. It is expected the model can be used as a decision support tool for a long-term resources management planning process.

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.147-153
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• 2002

A major problem in the adoption of advanced manufacturing systems such as C.I.M. (Computer Integrated Manufacturing) is the prerequisite economic justification Process because of high investment needed for the acquisition and installation of C.I.M. While some of the benefits expected are readily qualifiable, others are very difficult or even impossible, using conventional method. Thus the investment in C.I.M. should be considered as a strategic decision rather than a tactical decision which concerns with only financial implications. In this Paper we review papers on major justification techniques developed during the last decade and identify the benefits of C.I.M. and describe the considerations in the justification of C.I.M. Also we deal with the current and future research directions in justifying C.I.M.