• Environmental and Resource Economics Review
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• v.16 no.2
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• pp.337-361
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• 2007

Using the sample of bituminous coal prices, this study calculates the cash flows of selective procurement strategies compared to the previous routine procurement strategies, and analyzes the revenue-improvement and revenue-stabilization effects of different procurement strategies. In empirical analyses, these effects of routine and selective procurement strategies are compared by forecasting model and forecasting period. The revenue-improvement and revenue-stabilization effects are analyzed to compare the distribution of return flows, that is the means and standard deviations of procurement revenue flows. The revenue-improvement and revenue-stabilization effects of selective procurement strategies compared to the previous routine procurement strategies are as follows. Compared with routine procurement strategies, the selective procurement strategies turn out to yield higher means of returns (except for some forecasting periods and models). On the contrary, the standard deviations of returns decrease. With longer forecasting periods, the amounts of increases in the means become larger, but the degrees of decreases in the standard deviations vary. Although there exist some variations, some forecasting models outperform the others in terms of means and standard deviations.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.4
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• pp.323-330
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• 2011

Globalization of market and diversification of customers' needs make enterprises to collaboration of participants in supply chain. To establish collaboration, supply chain must have the flexibility and reconfigurability, which are supported by fractal based supply chain management (FrSCM). In this paper, base on the FrSCM, formulation of trust model among the enterprises in the supply chain, and development of profit sharing strategies in the supply chain based on the trust model are investigated. To evaluate trust model, generation of enterprise's goal and its description, extraction and systematic composition of trust factors and trust evaluation are investigated. Based on the developed model, we developed the fuzzy inference engine to evaluate the trust value in terms of numerical value. And then revenue sharing strategies are developed based on the fractal concept and trust model for the collaborative SCM. The fractal concept is used to obtain the optimal production and transportation plans. In addition, the trust model will be integrated into the RS model. In such an RS model, the supply chain will obtain the maximum total profit and profit of each participant depends on its trust value.

• 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.

• Korean Management Science Review
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• v.25 no.1
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• pp.93-106
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• 2008

This study is focused on the problem of seat allocation for group travel demand in airlines. We first explain the characteristic of group demand and its seat allocation process. The group demand in air travel markets can be classified into two types : incentive and package groups. Allocating seats for group demand depends on the types of group demand and the relationship between airlines and travel agents. In this paper we concentrate on the package group demand and develop an optimization model for seat allocation on the demand to maximize the total revenue. With some assumptions on the demand distribution and the linear approximation technique, we develop a mixed IP model for solving our problem optimally. From the computational experiments, we can find our optimization model can be applied well for real-world application.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.889-893
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• 1987

This paper suggests a model for the economic evaluation and the selection of alternatives using teletraffic. Economic evaluation is analyzed by the comparison of revenue loss which happens without trunk extension and additional revenue which results from trunk extension. Simulation technique is used as a methodology to apply economic evaluation to telephone system. The study results will provide a support in a optimal decision about investment strategies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.105-109
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• 2004

The purpose of this paper is to examine the empirical analysis for charging factors and the evaluation models of internet site. Thus this is to analyze the revenue creation factors affecting the customer satisfaction of tourism information sites in the Internet. Based on the regression model applied to a customer survey, this study shows that among the characteristics of the site, technical factor and community factor have the most significant effect on charging factor and customer satisfaction.

• Asian Journal of Business Environment
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• v.9 no.2
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• pp.27-34
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• 2019

Purpose - From the advanced path of development and current situation, the development of enterprises plays a tremendous role in promoting national economic growth and raising the overall national strength. Therefore, this paper aims at examining the mutual effect between small & medium enterprises and economic growth. Research design, data, and methodology - In order to address the operating mutual effect between the small & medium enterprises and economic growth more clearly, this paper sets Alibaba Group and Hangzhou as an example. Meanwhile, the annual data from 2000 to 2017 will be employed, and an empirical analysis will be performed under the vector error correction model. Results - The findings display that the total revenue of Alibaba Group has a positive effect on economic growth in city of Hangzhou. However, the Granger Causality test implies that there is only a unidirectional causality between total revenue of Alibaba Group and economic growth in Hangzhou. More specifically, 1% increase in total revenue of Alibaba Group can result in 0.272% in economic growth of Hangzhou in the long run. Conclusions - In summary, for the long run, the local governments should promulgate a series of policies to assist the small & medium enterprises like Alibaba Group to improve the local economic growth as seen in the city of Hangzhou.

• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.157-166
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• 2016

The aims of this study are to contribute to efficient revenue management by analysis of the scale in elderly long-term care facilities. The data was used for input of the elderly long-term care costs Scale, and calculated the staffing standards and social welfare facilities workers with living wage guidelines in the Department of Health and Human Services. Revenue efficiency is the highest order of size are as follows. I8(98 people) \43,517,010, H6(86 people) \36,568,332, G8(78 people) \29,426,532, F8(68 people) \23,227,532, E8(58 people) \19,701,254, D8(48 people) \19,155,187, C6( 36) \14,389,109, B8(28 people) \9,920,031, A8(18 people) \3,721,031. It seems that its revenue efficiency even higher than the larger the scale. Meanwhile, The researchers focused on C6 (36 patients) model. Suggestion of this study are following; First, the arrangement can be provided based on needs of the elderly care facility staffing standards. Secondly, an elderly care facility selected wage guidelines. Thirdly, the elderly efficiency guidelines established by the size of a nursing facility. This study and other financial income factor are not the applicable limits.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.2
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• pp.11-19
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• 2013

Internet service providers regulate the maximum data transmission rate of each user as a means to provide a tiered Internet access service or to avoid the monopoly of a few greedy users. In this paper, we aim to analyze the impact of this access rate regulation on the revenue of Internet service provider and the pricing strategy. We first propose a service quality model taking into account the access rate regulation, and analyze how the regulation affects the service subscription decision of users. In addition, we derive a sufficient condition that guarantees the stability of the revenue, and formulate an optimization problem that finds the optimal price to maximize the revenue.

• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.65-92
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• 2017

Purpose: The performance of global major airports is evaluated and several research questions are examined relative to the measures characterizing airport performance. Methods: The two-stage internal structure of airport performance is considered by decomposing it into physical operations and revenue generation. In the physical operations stage, operating costs, number of runways, terminal area and number of employees are used as inputs, while passenger throughput, cargo throughput and aircraft movements are taken as outputs. Subsequently, in the revenue generation stage, the outputs from the preceding stage are taken as inputs, while revenue is used as output. Results: Based upon this two-stage modeling of airport performance, a multiplicative two-stage network data envelopment analysis model is employed to calculate the overall and stage efficiencies of 59 airports using the recent data in the 2014 Airport Benchmarking Report published by the Air Transport Research Society. Several internal and external factors are also considered such as airport size, airport geographical location, proportion of international passengers, ownership (listed or not) and management style, and statistical analysis is performed to examine their impacts on airport performance. Conclusion: It is shown that the airports exhibit statistically significant difference across regions, and also some statistically significant factors affecting airport performance are identified.