• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.2
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• pp.101-127
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• 2016

Irrational ordering decisions of supply chain members have been gaining growing importance in the area of supply chain management. Irrational ordering behaviors that deviate from the profit maximizing decisions in the newsvendor settings have observed with human experiments in recent research. These behaviors can be modeled with several typical decision bias elements. This bias in ordering decisions affects the performance of supply chain contracts designed based on the assumption that the supply chain members make optimal decisions, making it necessary to design supply chain contracts by considering the irrationality. The purpose of this research is to derive a method to design the revenue sharing contract that considers human irrationality in ordering decisions. This research considers a simple two-echelon supply chain consisting of one supplier and one retailer, where the supplier is assumed to be perfectly rational while the retailer making newsvendor type ordering decisions displays irrational ordering behaviors. Under this environment, this research analytically models the revenue sharing contract to maximize the total supply chain profit or the supplier's own profits while considering the three decision bias patterns of the retailer, which include the pull-to-center effect, the prospect theory, and the increased subjective sensitivity to the revenue sharing ratio. Irrationality parameters are measured through human experiments based on which and through numerical simulations, we showed that significant improvements in the supply chain performance can be achieved.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.287-295
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• 2021

This study examines the performance of program providers(PP) considering various factors. This study employs the panel regression models with the dataset from 2014 to 2019. This study analyzes how various market structural factors and behavioral factors have impact on the performance. The results show that the high proportion of retransmission fees to broadcasting revenue is negatively associated with total media revenue and operating income while advertising revenue is positively associated with these factors. The results imply PPs that have heavily depended on the fees have not showed a superior performance. Current PP markets are evaluated to have low average revenue per users and thus the size of retransmission fees cannot be enlarged. Under such market conditions, PPs focusing on raising advertising revenue show better performance. This study also suggests that PPs that own diverse channel assets have improved their performances.

• Journal of Preventive Medicine and Public Health
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• v.25 no.4 s.40
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• pp.399-412
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• 1992

This study was designed to investigate factors relating to fiscal deficit for regional health insurance. The financial statements for the fiscal year 1990 of nationwide 254 regional medical insurance societies were analyzed. Important findings are summarized below: 1. There were differences in the main reason fur the financial deficit among regions when deficit and surplus societies were compared by regions. The total revenue per enrollee, especially revenue from the premium contribution of a deficit society was significantly smaller than that of a surplus society in large cities and counties. On the other hand, the total expenditure per enrollee of a deficit society was larger than that of a surplus society in small cities. 2. Both low premium rate at the beginning of health insurance program and less effort to increase the premium rate were main factors for the smaller revenue from the contribution of a deficit society in large cities and counties. 3. Larger expenditures per covered person of a deficit society in small cities were explained with larger medical expenditures especially for out-patients services rather than larger administrative expenses. 4. A regression analysis showed that utilization rates in out-patient services were significantly associated with income and numbers of total medical care institution per capita within a region where a health insurance society located. Also expenses paid by insurer per visit were associated with the proportion of utilization for tertiary care hospitals as well as the proportion of utilization of public health centers.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.184-193
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• 2021

This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3C
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• pp.219-227
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• 2006

In this paper, we propose a packet scheduling algorithm to maximize the required total price of the systems that is applied with a different traffic pricing criterion by the mobile service operator according to different kinds of the services. The proposed algorithm adopts a particular estimation method in scheduling using the value of pricing function, which is based on the required services and the value of SIR(signal to interference ratio) that indicate the channel condition of each user. We compare Max C/I, proportional fairness and round robin algorithm with the proposed algorithm on HSDPA in order to analyze the performance. The result shows that the proposed algorithm satisfies higher throughput and provides maximum the mobile service provider's revenue.

• Journal of Distribution Science
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• v.14 no.6
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• pp.39-44
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• 2016

Purpose - This paper aims to study the competition that occurs in the Islamic Banking industry and to analyze the variables that affect the total revenue of Islamic Banking in Indonesia. Research Design, Data and Methodology - This study observed 10Islamic banks for the period 2010-2013. The annual data are taken from Direktori Perbankan Indonesia, published by Bank Indonesia, and annual report of the observed banks. In analyzing data, Panzar Rosse Approach was applied to analyze the type of Islamic Bank Market and Panel Regression Model for the estimated co-efficients has been used in the Panzar Rosse Approach. Results - Estimation model shows that all the banking cost elements such as the price of capital, unit price of labor, and unit prices of funds have significant positive correlation to Revenue as a dependent variable. The estimated value of H-statistic for the period 2010-2013 is 0.69. It can be interpreted that Islamic banking market in Indonesia shows monopolistic competition. Price of capital and funds has statistically significant effect on Bank's Revenue. Conclusions - The study revealed that the Islamic banking market competition in Indonesia is monopolistic and the major contribution to the H-statistic comes from mainly price of funds.

• Korea Journal of Hospital Management
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• v.10 no.3
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• pp.45-66
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• 2005

The purpose of this study was to analyze related factors affecting profitability on general hospitals(300-499 beds). The data were derived from survey by the Korean Hospital Association on 33 hospitals during 10 years (from 1993 to 2002). Profitability was measured by 3 ratios - net profit to total assets, normal profit to total assets and operating margin to gross revenue - as dependent variables. Independent variables were classified by general factors (ownership, number of bed, period of establishment, region), financial factors (total asset turnover, current ratio, liabilities to total assets, personnel costs per operation profit, material costs per operation profits), productivity index(number of daily patient per nurse), the score of quality assurance activity and the time lag score. Multiple regression model was used in this study. First, Number of bed, region was not statistically significant for profitability. But ownership was affect positively to normal profit to total assets and operating margin to gross revenue. Private hospitals had higher profitability than that of public hospitals Second, the score of quality assurance activity was not statistically significant to profitability. Third, Those hospitals having more daily patient per nurse had significantly higher profitability than the others. Fourth, Those hospitals having higher proportion in total asset turnover had significantly higher profitability than other hospitals. But liabilities to total assets and liquidity ratio had no difference to the profitability. Those hospitals having higher proportion in personnel costs and material costs per operation profits had significantly lower hospital profitability than others.

• Health Policy and Management
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• v.15 no.2
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• pp.16-36
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• 2005

Due to the existence of asymmetry of information between doctor and patient, it has been believed that doctor might affect patient's decision making process of purchasing medical care. Based on this notion, doctor's reimbursement method has been suggested as an effective policy device of improving efficiency of patient's medical care use by way of its affecting doctor's practice pattern. By using the Community Tracking Study (CTS) household and physician data set, which includes not only various information on patient's medical care use, but doctor's practice arrangements and sources of practice revenue, this paper investigates the effect of community doctor's characteristics of reimbursement method on community patient's medical care use under the control of patient's socio-demographic characteristics and community doctor's practice type. In the process of estimating econometric model, the endogeneity problem of individual health insurance purchase was corrected by using 2818. And due to the existence of sample selection problem, Heckman's two-step estimation method was used for strengthen the robustness of estimation which was adversely affected by sample selection problem The empirical results show that as the average value of community doctor's portion of practice revenue determined by prospective method out of total revenue increases, the community patient's total out-of-pocket medical cost decreases. This results suggest, as doctor's practice revenues are mainly determined by prospective method, such as capitation, doctors would be more conscious about practice cost, which might affect doctor's practice pattern and by which his/her patient's use of medical care would decrease.

• Analyses & Alternatives
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• v.8 no.1
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• pp.59-85
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• 2024

This study examines the impact of the development of the artificial intelligence (AI) industry on the economic growth of South Korea. The study uses variables such as the revenue and patent applications of AI-related companies, as well as industry-specific total factor productivity and GDP, to estimate the effects. The results suggest that the growth of the AI industry has a positive effect on the economic growth with a lag of about one year. Specifically, the effect of government AI revenue on GDP growth appears to be greater than that of private companies or consumer-focused AI revenue. This indicates that government policies aimed at promoting the diffusion of the AI industry have had significant effects. The study notes that the period covered by the AI industry survey data is relatively short, and there is a lack of detailed data for the manufacturing sector. I suggest that further improvements and accumulation of data could lead to more robust results.

• Journal of the Korea Institute of Building Construction
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• v.12 no.3
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• pp.257-265
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• 2012

Many construction companies are simultaneously carrying out numerous projects in the housing construction industry. It is essential to accurately forecast the cash flow of a project through optimal process management and resource input in order to manage funds rationally and enhance the competitiveness of a company. Current cash flow forecasting methods offer lower accuracy due to a large gap between the revenue and expenditure element. Expenditure elements depends on the real-time changing actual cost for work performed. This research survey was conducted on the actual state of construction management of K company to investigate the problems of cash flow forecasting. To achieve this, the work process and construction management system were integrated to improve the cost management system of K company. To accurately forecast the cash flow of a project, revenue and expenditure elements were displayed in the total cash flow forecast window. This research is expected to assist in the implementation of a system of cash flow forecasting on housing construction by excluding negative elements of revenue and expenditure.