• Korea Journal of Hospital Management
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• v.11 no.4
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• pp.82-103
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• 2006

The purpose of this study is to analyse statistically the relation between medical service quality and managerial performance. And then the way of analysis is the regression analysis that independent variable is service quality, dependent variable is the volume of revenue, the number of patients and the rate of beds utility, and dummy variable is the number of beds, ownership and region. The sample hospitals were the 113 hospitals on general hospitals more than 300beds which were consisted of 20 public hospitals, 41 corporate hospitals and 52 college hospitals, and also distributed 67 hospitals on big city and 46 hospitals other city. The sample hospitals were selected from the Korean Hospital Association and the data of the year 2003 and 2004. The collected data was analyzed using the SPSSWIN 10.0 version, and the study hypothesis was tested using regression analysis. The findings of this study are summarized as follows. First, as a result of analysing hypothesis 1. In the study of the relationship between the service quality and the revenue, it was verified that the more service quality in last year became the more revenue in the year. But the dummy variable, ownership and region, rarely related to hospital revenue. Therefore it means that the more service quality is connected to the more revenue on the large number of beds hospitals. Second, as a result of analysing hypothesis 2 & 3. In the study of the relationship between the service quality and the number of patients, it was verified that the more service quality in last year became the more outpatients in the year. But there was no verified to inpatients. It seems to be the reason why a hospital has operated the fixed number of beds approved by the public office. So there are no free to expand beds according to the number of inpatients as much as inpatients are increasing. Third, as a result of analysing hypothesis 4 & 5. In the study of the relationship between the service quality and the rate of beds utility, it was verified that the more service quality in last year became the shorter of average stay of length in the year. Especially it has influenced much more on a hospital which was the large number of beds, the corporate and the college, but the region. But it was denied that the more service quality became the more the beds turnover. As a result of this study, it shows that the service quality in the last year has importantly influenced on a hospital managerial performance in the year. Estimating the service quality of each hospital, most patients have selected the hospital they want. And the hospital need to keep the number of patients for the proper management. So this result of the study means that a hospital must improve the service quality for keeping efficient management.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.2
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• pp.278-286
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• 2009

Restaurants have two strategic levers for revenue management: duration control and demand-based pricing. Reducing dining times, especially during peak periods, can add considerable revenue for restaurants. Managing meal duration, however, can be far more complex than manipulating the price. This paper examines dining duration expectations for restaurants types(Family, Korean, Quick service restaurant), customers characteristics(gender, age, occupation, meal period, visiting frequency, dining occasion, dining companions) using an a adaptation of a price sensitivity measurement tool, naming it 'Time Sensitivity measurement tool' or TSM. The TSM is then used to derive the optimal time points, and the range of acceptable times. The results demonstrate that there is a relatively wide spread of acceptable dining duration times in family restaurant. Furthermore, the optimal time points was shorter than the mean expected dining times, which suggests that many restaurants may be able to shorten dining duration without compromising customer satisfaction. The paper explores whether demographic and dining variables have an impact on time preferences, and finds whether gender, age, meal periods, visiting frequency, and dining companion effects are significant. Specifically, women in their thirties tended to prefer a significantly longer dining times for dinner.

• Journal of Distribution Science
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• v.19 no.10
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• pp.43-54
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• 2021

Purpose: The restrictions posed by the COVID-19 pandemic have affected the normal functioning of the economy. A country like India is facing a lot of concerns in all its sectors especially, in its fiscal system. This paper makes an attempt to examine the impact of COVID-19 first wave on Goods and Service Tax revenue collection and distribution in India and also studies the impact of COVID-19 first wave on the state wise GST revenue of the country. Research Design, Data and Methodology: Our study is based on published GST revenue data. Tools such as Paired Sample t-test, Wilcoxon signed rank test are employed to analyze the data. Results: Our results provide evidence that there is a sharp decline in the GST revenue in the months after the lockdown announcement. The large states show no significance impact of COVID-19 pandemic on GST collection. Whereas, small states like Manipur and Goa show significant difference in GST revenue collection & distribution between the pre and post lockdown period. Conclusion: The outcome of this study will help the policymakers to analyze the extent of the GST revenue loss to the government treasury and will allow them to take appropriate measures in the future.

• Industrial Engineering and Management Systems
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• v.8 no.4
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• pp.221-227
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• 2009

There are customer services jointly provided by two facilities so that each customer will complete the course made up of both facilities' sub-services. The two facilities are assumed invested respectively by an infrastructure owner and one subordinate facility owner, whose partnership is built on their capital investments. This paper presents a mathematical model of Stackelberg competition between the two facility owners to derive their optimal Nash equilibrium. In this study, each facility owner's profit is consisted of fixed revenue fractions of sold services, operating costs (including depreciation cost) and maintenance costs of her facility. The maintenance costs of one facility are incurred both by failures and deterioration due to usage. Moreover, for both facilities, failures are rectified immediately by minimal repairs and preventive maintenance is carried out at a fixed time epoch. Additional assumptions are also employed to develop the model such as customer arrivals are manipulated to follow a Poisson process, and each facility's lifetime is independently Weibull-distributed. The Stackelberg game proceeds as follows. At the first stage of decision making process, the infrastructure owner (acting as a leader) decides the allocation of revenue shares based on her self-interest. After observing the allocation of revenue shares, the subordinate facility owner determines her own optimal price of services. This paper investigates actions and reactions of the two partners in the system. Then analytical conditions are proposed to achieve a unique optimal Nash equilibrium. Finally, some suggestions for further research are discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.589-597
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• 2003

This paper discusses revenue model of digital TV broadcast service(D-TV) and presents the basic framework for integrated strategy of applications. Also this paper presents the cases of D-TV in the frame of integrated model. The broadcasting operators should focus on interactive advertising and revenue generation utilizing customer participation. Also, they should utilize the strengths as a platform operator. The contents provider should be concerned about the retail revenue rather than commission revenue. The middle ware provider should develop new interactive D-TV service rather than system use fee or consulting fee.

• Journal of Communications and Networks
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• v.6 no.1
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• pp.68-77
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• 2004

In the near future packet networks should support applications which can not predict their traffic requirements in advance, but still have tight quality of service requirements, e.g., guaranteed bandwidth, jitter, and packet loss. These dynamic characteristics mean that the sources can be made to modify their data transfer rates according to network conditions. Depending on the customer&; needs, network operator can differentiate incoming connections and handle those in the buffers and the interfaces in different ways. In this paper, dynamic QoS-aware scheduling algorithm is presented and investigated in the single node case. The purpose of the algorithm is in addition to fair resource sharing to different types of traffic classes with different priorities ?to maximize revenue of the service provider. It is derived from the linear type of revenue target function, and closed form globally optimal formula is presented. The method is computationally inexpensive, while still producing maximal revenue. Due to the simplicity of the algorithm, it can operate in the highly nonstationary environments. In addition, it is nonparametric and deterministic in the sense that it uses only the information about the number of users and their traffic classes, not about call density functions or duration distributions. Also, Call Admission Control (CAC) mechanism is used by hypothesis testing.

• Korea Journal of Hospital Management
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• v.15 no.1
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• pp.13-26
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• 2010

A Health Promotion Center (HPC) whose capacity is partially idle causes inefficiency in resource usage of a country as well as the hospital itself. Meanwhile, Increased demand in HPC would lead to increased revenue for the HPC as well as reduced national expenditures on healthcare. We introduced a way to enhance revenue by Revenue Management (RM) on HPC services, in which demand forecasting and pricing strategies are considered. In addition, a real data analysis had been performed to evaluate the usefulness of the proposed approach.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.957-968
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• 2017

Purpose: There are lots of efforts to increase the revenue of on-line travel agency due to the extreme competition in the hospitality industry. One of the way to improve the revenue is applying new concepted service for their business. In this study, it is introduced an innovative system design of hotel reservation for the on-line travel agency using the concept of an opaque product. Methods: By adopting the opaque product at the hotel reservation system, the reservation requests can increase because the customer tends to feel that they purchase the hotel service with relatively cheap price. The overall process for an innovative hotel reservation system is presented and the core algorithm to implement this system is also suggested through a mathematical model based optimization method. Results: To validate and to examine the proposed process and core algorithm, a numerical example is provided with the modified data of the hotels in Seoul metropolitan city. The discount prices and the overall revenue of hotels are generated according to hotel grade. Conclusion: It is confirmed that the revenue of the hotel tends to increase according to its grade. This is because that the customer want to use the new service which applying the concept of opaque product when the higher discount ratio are decided for lower grade hotels.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.211-214
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• 2004

In railway system, the transportation plan corresponds to master plan for transport services. This service plan must be constructed to minimize operational cost or maximize revenue considering transportation demands and resource capacities in the operation company, and includes several sub-planning activities such as train operation frequency plan, train (schedule) plan, train capacity assignment plan, and rolling stock requirement plan. In this paper, we present profitability evaluation system for current transportation plan. The proposed system can be used for evaluating profitability by estimating train service revenue considering customer demands.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1538-1545
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• 2004

In the train schedule plan corresponds to a master plan for transport services. This service plan must be constructed to minimize operational cost or maximize revenue considering transportation demands and resource capacities in the operation company, and it includes several sub-planning activities such as train operation frequency plan, train schedule plan, train capacity assignment plan, and rolling stock requirement plan. In this paper, we present profitability evaluation system for the current train schedule plan. The proposed system can be used for evaluating profitability by estimating train service revenue considering customer demands.