• 보건행정학회지
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• 제9권2호
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• pp.1-20
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• 1999

This study was conducted to investigate the predictors of hospital bankruptcy in Korea and to examine the predictive power for 3 types of statistical models of hospital bankruptcy. Data on 17 financial and 4 non-financial indicators of 30 bankrupt and 30 profitable hospitals in 1. 2, and 3 years before bankruptcy were obtained from the hospital performance databank of Korea Institute of Health Services Management. Significant variables were identified through mean comparison of each indicator between bankrupt and profitable hospitals, and the predictive power of statistical models of hospital bankruptcy were compared. The major findings are as follows. 1. Nine out of 21 indicators - fixed ratio, quick ratio, operating profit to total assets, operating profit to gross revenue, normal profit to total assets,normal profit to gross revenue, net profit to gross revenue, inventories turnrounds, and added value per adjusted patient - were found to be significantly predictitive variables in Logit and Probit models. 2. The predicdtive power of discriminant model of hospital bankruptcy in 1. 2, and 3 years before bankruptcy were 85.4, 79.0, and 83.8% respectively. With regard to the predictive power of the Logit model of hospital bankruptcy, they were 82.3, 75.8, and 80.6% respectively, and of the Probit model. 87.1. 80.6, and 88.7% respectively. 3. The predictive power of the Probit model of hospital bankruptcy is better than the other two predictive models.

• 대한안전경영과학회지
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• 제15권4호
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• pp.435-448
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• 2013

The aim of this study is to investigate and develop the extended models for Economic Cash Amount(ECA), Cash Break Even-Point(BEP), and Cash Flow Statement(CFS) by referencing systematic literature review in the field. The study develops three extended models to determine the optimal cash amount: ECA model with interest opportunity cost, financing transaction cost and financing fail cost, ECA model with daily cash supply and interest opportunity cost, ECA model with financing fail cost and interest opportunity cost. Earnings Before Interests, Tax, Depreciation and Amortization(EBITDA) is obtained by subtracting noncash depreciation costs from Earning Before Interest and Tax(EBIT), which is efficient metric to evaluate operating cash flow. The research also develops two extended Cash BEP models, considered as interest and corporate tax, in order to indentify the break-even point as EBITDA equals zero. Furthermore, this paper proposes the modified version of CFS by introducing the reclassification of operating and financing accounts in the statement of financial position. In addition, the study also present the reclassification of five types of profit, such as gross profit, EBIT, ordinary profit, special profit, and net profit within the statement of comprehensive income. In order to provide a better understanding of the proposed cash flow models, numerical examples, such as two-sample t test and Analysis of Variance(ANOVA), are presented to demonstrate the statistical significance according to the industrial types for net working capital(i.e cash-to-cash), net profit, operating cash flow and free cash flow.

• 아태비즈니스연구
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• 제6권2호
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• pp.1-17
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• 2015

This study compares the most widely used parametric and non-parametric techniques to measure cost and profit efficiency of banks, namely the Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We formulate the specification form of both stochastic cost and profit frontier models and constant return to scale Cost DEA and Profit DEA models and provide an empirical assessment of the cost and profit frontiers based on a panel dataset of National Commercial Banks (NCBs) and Private Banks (PBs) in Bangladesh over the 2001-2010 period. The cost inefficiency and profit efficiency are slightly higher for PBs than NCBs in case of both SFA and DEA. The coefficients of advance and off-balance sheet items are significant that positively influence the banks in stochastic cost frontier model while the advance, other earning assets, price of borrowed fund are significant and negative effects on the banks in stochastic profit frontier model. The average cost inefficiency and average profit efficiency are recorded with 16.3% and 91% respectively. The highest and lowest cost inefficiency are observed for Janata Bank and United Commercial Bank Limited whilst the highest and lowest profit efficiency are recorded for Eastern Bank Limited and Janata Bank respectively. The average technical and allocative efficiency are 68.8% and 35.9%, respectively in case of CRS cost-DEA model whereas they are 70.3% and 31.8% in case of CRS profit-DEA model. The average cost inefficiency is recorded 6.3% by SFA whereas it is 24.5% by DEA. The average profit efficiency is found 91% by SFA while it is 22.1% by DEA, and SFA method shows better bank efficiency than DEA.

• Industrial Engineering and Management Systems
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• 제12권1호
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• pp.23-29
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• 2013

This paper presents inventory models for fresh agriculture products with time-varying deterioration rate. Due to the particularity of fresh agriculture products, the demand rate is a function that depends on sale price and freshness. The deterioration rate increases with time and is assumed to be a time-varying function. In the models, the inventory cycle may be constant or variable. The optimal solutions of models are discussed for different freshness and the deterioration rate. The results of experiments show that the profit depends on the freshness and deterioration rate of products. With the increasing inventory cycle, the sale price and profit increase at first and then start decreasing. Furthermore, when the inventory cycle is variable, the total profit is a binary function of the sale price and inventory cycle. There exist unique sale price and inventory cycle such that the profit is optimal. The results also show that the optimal sale price and inventory cycle depend on the freshness and the deterioration rate of fresh agriculture products.

• 품질경영학회지
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• 제26권3호
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• pp.46-59
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• 1998

The problem of selecting optimal target values for the mean of the quality characteristic of interest for a production process in which an item is sold in one of two market with different profit / cost structures or reworked. Two profit models are constructed which involve four profit / cost components: profit, production, inspection, and rework costs. Assumed that the quality characteristic of interest is normally distributed, methods of finding the most profitable process mean are presented and a numerical example is given.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.229-241
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• 2006

In this paper, we develop three stage non-cooperative game models to analyze the alliance strategies of companies in internet markets where network effects are present. Regardless of its market share, an internet company's strategic alliance appears to be a superior strategy. The analysis also identifies profit sharing structures in the internet market where a smaller and unknown company is enforced to split its own profits with a larger and well-known company. It is shown that the amount of profit sharing grows as the size of network effects becomes larger.

• Journal of Information Technology Applications and Management
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• 제15권4호
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• pp.21-36
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• 2008

As the great disturbance from abusing credit cards in Korea becomes stabilized, credit card companies need to interpret credit-card delinquents classification models from the viewpoint of profit. However, hit ratio which has been used as a measure of goodness of classification models just tells us how much correctly they classified rather than how much profits can be obtained as a result of using classification models. In this research, we tried to develop a new utility-based measure from the viewpoint of profit and then used this new measure to analyze two classification models(Neural Networks and Decision Tree models). We found that the hit ratio of neural model is higher than that of decision tree model, but the utility value of decision tree model is higher than that of neural model. This experiment shows the importance of utility based measure for credit-card delinquents classification models. We expect this new measure will contribute to increasing profits of credit card companies.

• 노동경제논집
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• 제43권1호
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• pp.35-57
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• 2020

본 연구는 한국노동패널조사(KLIPS) 3~21차 자료를 이용하여 성과배분제가 교육훈련에 미치는 영향을 분석한다. 성과배분제와 관련한 내생성(endogeneity)을 통제한 고정효과 모형(fixed effects model)에 의하면, 성과배분제의 적용을 받는 근로자는 성과배분제의 적용을 받지 않는 근로자보다 회사가 시행하는 업무능력향상을 위한 교육훈련을 받을 확률이 6.8%포인트 높으며, OJT를 받을 확률은 3.3%포인트 높은 것으로 추정된다. 이러한 관계는 추정 모형에 관계없이 일관적으로 나타나며, 하위표본에서도 강건하게 확인된다. 본 연구의 추정결과는 성과배분이 교육훈련을 촉진한다는 가설을 지지하는 증거로 해석될 수 있다.

• 대한전자공학회논문지TC
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• 제48권9호
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• pp.73-80
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• 2011

전통적으로 인터넷을 통한 컨테츠 서비스는 best-effort 방식으로 이루어져, 콘텐츠 제공자에게 뚜렷하고 분석적인 수익 모델을 제시하지 못했다. 반면 품질 보장형 서비스는 새로운 수익모델을 제시해 줄 것으로 기대되지만 보장된 품질에 대한 비용 및 수익과의 관계는 여전히 연구대상이다. 최근 이슈화되고 많은 연구가 진행되고 있는 QoE는 소비자의 만족도에 대한 의견을 측정할 수 있어, 품질 보장형 서비스의 제공에 따른 수익 모델을 정립하는데 이용될 수 있다. QoE는 소비자가 만족할 수 있는 서비스를 효과적으로 제공함과 동시에, 서비스 공급자에게 소비자의 만족도를 직접적으로 확인할 수 있도록 한다. 특히, 제공되는 서비스 질에 비용을 지불할 의사가 있는지 여부에 대한 피드백은 콘텐츠 사업자에게는 대단히 중요한 요소이다. 이에 본 논문에서는 보장되는 품질에 대하여 콘텐츠 제공자가 지불해야 되는 비용 및 QoE 와 QoE에 따른 수익에 대한 모델을 설계하고 이를 분석한다. 본 논문의 연구결과는 커져가는 네트워크를 통한 콘텐츠 서비스 사업 영역에서 사업 모델을 구상하고 추진하는데 유용하게 이용될 수 있을 것이다.

• 품질경영학회지
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• 제36권2호
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• pp.20-27
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• 2008

Tolerance design has been identified as an important research area and a number of models have been proposed in the literature. This paper investigates the effect of limited capacity on tolerance design for products with nominal-the-best type (N-type) quality characteristics. The model is developed under the assumption that the reprocessed and nonreprocessed items are produced by the same manufacturing process and therefore their quality characteristics are identically and independently distributed. Profit models are constructed which involve four price/cost components; selling price, cost incurred by imperfect quality, reprocessing and quality inspection costs. Methods of finding the optimal tolerance limits are presented, and a numerical example is given. Sensitivity analyses are also performed to study the effect of a process standard deviation on this model.