• 한국경영정보학회:학술대회논문집
• /
• 한국경영정보학회 2008년도 춘계학술대회
• /
• pp.129-134
• /
• 2008

Dividend is one of essential factors determining the value of a firm. According to the valuation theory in finance, discounted cash flow (DCF) is the most popular and widely used method for the valuation of any asset. Since dividends play a key role in the pricing of a firm value by DCF, it is natural that the accurate prediction of future dividends should be most important work in the valuation. Although the dividend forecasting is of importance in the real world for the purpose of investment and financing decision, it is not easy for us to find good theoretical models which can predict future dividends accurately except Marsh and Merton (1987) model. Thus, if we can develop a better method than Marsh and Merton in the prediction of future dividends, it can contribute significantly to the enhancement of a firm value. Therefore, the most important goal of this study is to develop a better method than Marsh and Merton model by applying artificial intelligence techniques.

• 지역연구
• /
• 제13권2호
• /
• pp.75-92
• /
• 1997

This paper is concerned with an estimation of optimal investment of road sector in 1996-2005. The main method is a Computable General Equilibrium (CGE) Model for Korea in which the optimal solution is derived in a recursively dynamic path. The model is composed of three main modules: the supply, the demand and the price. In this paper, the investment demand for the road is optimized with subject to national economic growth and price inflation. If the annual inflation level and the economic growth rate during 1996-2005 are set to 4.5%-5.0% and 6.0%-6.5% respectively, the optimal demand for the road investment is estimated as 155.1-180.1 trillion Won or 3.33%-3.89% of the GDP for ten years. It implies that the additional increase of the road investment by 0.61%-1.15% of the GDP is required for sustainable economic development, since the share of the road investment in the GDP of the latest 5 years has stayed around 2.27%. However, it is necessary to reduce construction investments on housing as well as to promote private financing of the road in order to maximize an efficiency of resource allocation.

• 국제학술발표논문집
• /
• The 5th International Conference on Construction Engineering and Project Management
• /
• pp.243-251
• /
• 2013

Cash management is a major concern for all contractors in the construction industry. It is arguable that cash is the most critical resource of all. A contractor needs to secure sufficient funds to navigate the project to the end, while keeping an eye on maximizing profits along the way. Past research attempted to address such topic via developing models to tackle the time-cost tradeoff problem, cash flow forecasting, and cash flow management. Yet, little was done to integrate the three aspects of cash management together. This paper, as such, presents a comprehensive model that integrates the time-cost tradeoff problem, cash flow management, and cash flow forecasting. First, the model determines the project optimal completion time by considering the different alternative construction methods available for executing project activities. Second, it investigates different funding alternatives and proposes a project-level cash management plan. Two funding alternatives are considered; they are borrowing and company own financing. The model was built as a combinatorial optimization model that utilizes ant colony search capabilities. The model also utilizes Microsoft Project software and spreadsheets to maintain an environment that incorporates activities, their durations, and other project data, in order to estimate project completion time and cost. Ant Colony Optimization algorithm was coded as a Macro program using VBA. Finally, an example project was used to test the developed model, where it acted reliably in maximizing the contractor's profit in the test project.

• 자원ㆍ환경경제연구
• /
• 제9권2호
• /
• pp.393-420
• /
• 2000

Since the transportation taxes were imposed on gasoline and diesel in 1994 for the purpose of financing the special projects, such as the construction of highways or railroads, the rates have been frequently and rapidly changed in case of need to stabilize prices or secure public fund, contrary to its own purpose. This paper presents a theoretical model for a special purpose tax based on the minimization of the dead weight los incurred by the imposition of the tax. A computable static model for the tax rate is developed and estimated for a various range of target level of total tax rebenue. The results shows that, under tax revenue of 40 trillion won, the rates for the year of 1999 are 385.2 won for one liter of gasoline and 198.4 won for one liter of diesel. The estimated gasoline rate is no more than about 59% of the current rate. However, the rate for diesel turns out to be 24% higher than the current level.

• 한국산학기술학회논문지
• /
• 제8권6호
• /
• pp.1583-1589
• /
• 2007

본 논문에서는 유비쿼터스 환경하의 CRM서비스가 고객들의 만족도에 어떠한 영향을 미치는가를 분석하고자 그와 관련한 자료와 현황을 수집하여 분석하였고, 고객만족도와 고객반응유도모델, 정보기술수용모델을 통한 측정분석도구를 이용하여 각 변수들 간의 관계를 분석하였다. 이를 통해 uCRM을 통한 고객관리가 고객들의 만족도와 태도에 어떠한 영향을 미치는가를 고찰함으로써 금융기관에서 효율적인 고객관리에 기여하고자 하였다.

• 대한토목학회논문집
• /
• 제28권1D호
• /
• pp.107-117
• /
• 2008

민간투자사업의 자본구조는 사업시행자가 출자한 자기자본과 대출금융기관으로부터 조달한 타인자본으로 구성된다. 민간투자사업 기본계획에서는 사업시행자의 최소 자기자본비율을 25%로 규정하고 있으며, 일반적으로 정부와 사업시행자 간의 실시협약을 통하여 자본구조를 결정하게 된다. 그러나 민간투자사업의 자본구조는 사업의 수익률과 재무적 안정성을 결정하는 중요한 기준이기 때문에 자금조달계획 수립 시 자본구조에 따른 수익률의 변동성을 파악하고 적정 수익률과 재무적 안정성을 고려하여 자본구조를 최적화할 필요가 있다. 본 연구는 민간투자사업의 수익률과 재무적 안정성을 동시에 극대화할 수 있도록 자본구조를 최적화하기 위한 방법론을 제시하는데 그 목적이 있다. 이를 위하여 기존 민간투자사업들의 자본구조를 고찰하고 민간투자사업 재무모델을 분석하였다. 재무분석을 바탕으로 최적 자본구조를 결정하기 위해 효용함수 개념과 다목적 유전자 알고리즘을 이용한 자본구조 최적화모델을 제시하였다. 제시된 최적화 모델을 인천공항철도 민간투자사업에 적용하여 최적 자본구조를 도출하였고 민감도 분석과 시나리오 분석을 통해 그 활용성을 검증하였다. 사례분석 결과, 최적 자기자본비율은 실시협약에서 결정된 30%보다 낮은 22.3%에서 결정되었으며 이는 자기자본비율을 더 낮추어도 수익률과 재무적 안정성을 유지할 수 있다는 것을 시사한다. 본 연구는 수익률과 재무적 안정성을 동시에 고려하여 최적 자본구조를 결정함으로써 민간투자사업의 사업시행자에 적합한 자본구성과 자금조달을 위한 합리적인 의사판단 기준을 제시하였으며 사업시행자의 수익률 향상에 기여할 것으로 기대된다.

• 대한간호학회지
• /
• 제39권4호
• /
• pp.574-583
• /
• 2009

Purpose: This paper analyzed alternative methods of calculating the conversion factor for nurse-midwife's delivery services in the national health insurance and estimated the optimal reimbursement level for the services. Methods: A cost accounting model and Sustainable Growth Rate (SGR) model were developed to estimate the conversion factor of Resource-Based Relative Value Scale (RBRVS) for nurse-midwife's services, depending on the scope of revenue considered in financial analysis. The data and sources from the government and the financial statements from nurse-midwife clinics were used in analysis. Results: The cost accounting model and SGR model showed a 17.6-37.9% increase and 19.0-23.6% increase, respectively, in nurse-midwife fee for delivery services in the national health insurance. The SGR model measured an overall trend of medical expenditures rather than an individual financial status of nurse-midwife clinics, and the cost analysis properly estimated the level of reimbursement for nurse-midwife's services. Conclusion: Normal vaginal delivery in nurse-midwife clinics is considered cost-effective in terms of insurance financing. Upon a declining share of health expenditures on midwife clinics, designing a reimbursement strategy for midwife's services could be an opportunity as well as a challenge when it comes to efficient resource allocation.

• 한국건설관리학회:학술대회논문집
• /
• 한국건설관리학회 2001년도 학술대회지
• /
• pp.245-250
• /
• 2001

최근의 국내 건설시장은 시장 규모의 축소로 인해 과잉경쟁이 이루어지고 있으며 이에 기업들은 적극적인 수주산업인 기획제안형 주택사업 분야에 관심을 기울이고 있다. 기획제안형 사업에서 가장 중요한 단계는 사업성 여부를 판단하는 초기 기획단계로서 현재 각 기업들마다 기획업무 모델을 갖고 있으나 표준적인 모델이 제시되지 못하고 있다. 이에 본 논문에서는 국내 기업의 기획업무 절차와 문제점파악에 의한 개선 방안을 바탕으로 개발형 주택사업 의 성공적 수행을 위한 전략적 기획업무 모델을 제안하려 한다

• 정보처리학회논문지D
• /
• 제12D권2호
• /
• pp.211-218
• /
• 2005

본 연구는 금융기관에서의 고객신용평가를 위한 최적의 데이터마이닝 모형을 제안한다. 이를 위해 할부금융시장에서의 고객정보 및 할부진행 과정에 대한 세부 내역을 바탕으로 다계층 퍼셉트론(Multi-Layered Perceptrons:MLP)과 다변량 판별분석(Multivariate Discrimination Analysis : MDA), 그리고 의사결정나무(Decision Tree)를 적용하여 각각의 개별모형을 도출하고 이론 유전자 알고리즘을 이용하여 통합한 최종 모형을 구해 그 결과론 각 단일모형과 비교${\cdot}$분석하였다. 그 견과 유전자 알고리즘을 통해 결합한 통합모형의 성능이 가장 우수한 것으로 나타났다. 이에 본 연구는 기존에 진행되었던 개변모형에 대한 검증은 물론, 단순히 여러 개의 모형을 비교${\cdot}$분석하여 우월한 모형을 평가하는 기존 방법론 상의 한계를 극복하기 위해 각각의 개별모형을 유전자 알고리즘을 통해 통합모형으로 구축하는 하나의 방법론을 제시하였다는데 그 의의가 있다.

• 융합경영연구
• /
• 제10권6호
• /
• pp.47-57
• /
• 2022

Purpose: This study explored the relationship between product characteristics and customer purchase intention in cross-border online shopping. Research design, data, and methodology: Through literature review, the research model of product characteristics and consumers' purchase intention is constructed, and trust is taken as a medium variable. Based on the survey data of Chinese consumers, empirical analysis and hypothesis verification are conducted. This study used SPSS version 21 to confirm the reliability and validity of the research model. To confirm the media effect of the model in this study, the Sobel Test was used. Results: The results of hypothesis identification of this research model showed that 8 of the 11 hypotheses were adopted and 3 were rejected. Results confirmed the relationship between product characteristics (specification, diversity, reputation, novelty, quality) and customer purchase intention. Conclusions: The result from this study had particular theoretical significance for improving the research on cross-border online shopping systems to improve the safety and satisfaction of customers in cross-border online shopping.