• Korean Management Science Review
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• v.30 no.2
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• pp.43-61
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• 2013

With the recent introduction of supply chain management (SCM), quality management has extended from within companies to between companies. As a result, supply chain quality management (SCQM) has received increased attention. However, existing SCQM studies only focus on what impact quality control in supply chains have on company performance while virtually no studies examine quality control efficiencies. This paper, therefore, evaluated the SCQM efficiency of a parent company and its partner companies by using Data Envelopment Analysis (DEA) based on the Quality Collaboration Index for Supply Chain Management (QCI-SCM) conducted by the Korean Standards Association for its 'Quality Innovation-Based Building and Expansion of Business.' Study results showed that a parent company and its partners showed an overall average efficiency of approximately 80% (parent company 80.37%, partner company 79.05%). By also performing a discriminant analysis based on the calculated efficiency scores using DEA, factors that made companies efficient or inefficient were different between the two groups. In parent companies, efficiency and inefficiency were determined by factors such as communication, infra-structure, support, delivery of quality, and benefit sharing, whereas in partner companies, talent development, infrastructure, crisis management, and delivery of quality were the determining factors. In this paper, we examined the efficiency of SCQM and analyzed them from the perspective of both the parent company and partner companies to offer strategic SCQM insights.

• Journal of the Korea Safety Management & Science
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• v.9 no.5
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• pp.125-133
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• 2007

Everyone knows how much the company business goal is achieved is the most important to all companies. In order to maximize the business performance, many companies have introduced a diversity of management innovation activities. The effect of business performance is important in the business activity, but an efficiency of output-to-input concept is significantly important. Each year, companies have managed the business through a sum of performance. In terms of the efficiency of business performance, the management is importantly managed. In the efficiency of business performance, there are the main items including the total assets, employees, and operating expenses as the input. As the output, there are the main items of sales, current term's net income. This study is intended to calculate the business efficiency through DEA analysis for companies' business performance, and to study in order for the efficiency of business performance to be considered when the companies establish the mid and long term business plan.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.639-645
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• 2014

This study was conducted to evaluate the management efficiency of oak mushroom farms in Korea using the Data Envelopment Analysis (DEA), which is one of the non-parametric estimation methods. The data that was analyzed in this study was from the result of 2013 survey entitled "Standard Diagnostic Table for Oak Mushroom Management", which was conducted from March 2012 to October 2012. This survey was based on the inputs and outputs of 20 oak mushroom farms. Specifically, this study analyzed the technical efficiency, pure-technical efficiency and scale efficiency using CCR and BCC model of the DEA methods. Furthermore, this study compares the management efficiency between the full time oak mushroom production farms and part time oak mushroom production farms. Results showed that mean value for the technical efficiency was 0.655 which is considered as inefficient in general. For the pure-technical efficiency and scale efficiency, the mean values were 0.830 and 0.747, respectively which showed that inefficiency in the management was observed in the mushroom farms. Results also showed that there were seven farms with a total efficiency of 1, namely Decision Making Unit(DMU)2, DMU5, DMU6, DMU8, DMU10, DMU15 and DMU20. The management efficiency of DMU7 specifically the inputs for production was analyzed and compared to DMU5 and DMU6 and results showed that the DMU7 had an excessive inoculation and site development cost. Lastly, it was also observed that the full time mushroom production farms were more efficient as compared to the part time mushroom farms because of the lower scale efficiency value or smaller area for mushroom production allotted in the part time farms.

• Korean Journal of Organic Agriculture
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• v.31 no.4
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• pp.357-380
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• 2023

This study analyzed the management efficiency of jujube, bitter persimmon, and chestnut farms using data envelopment analysis (DEA). And this study analyzed causes affecting management inefficiency of those farms using the two-step method. The main findings are as follows. First, as self and employment labor costs are increased, it is important to reduce labor costs which account for 60~70% of the total production cost. Second, efforts to improve management efficiency are needed as overall efficiency of farms were decreased. Third, a pesticide cost per 10a representing a level of pesticide had a negative effect or did not have a statistically significant effect on the management efficiency. This implies that expanding environment-friendly production by reducing pesticides is effective for improving the management efficiency. Fourth, as leading farms were more efficient than general farms, technology dissemination and education through leading farms are important for improving efficiency, and efforts are needed to promote exchange between leading and general farms.

• Journal of Distribution Science
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• v.16 no.5
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• pp.91-101
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• 2018

Purpose - This study compares the management efficiency of retailers in China, Korea and other global countries. China's retail industry is experiencing a recession. In order to strengthen the competitiveness of retailers, it is necessary to manage the efficiency. Therefore, we analyzed the management efficiency of Chinese retailers as well as Korea and global retailers who are competing with Chinese retailers. Research design, data, and methodology - The DEA(Data Envelopment Analysis) carried out for evaluating the relative efficiency of multiple DMUs (decision making units) with homogeneity. Data were collected from the American Retail Trade Association (2017). In those distributors' data, 5 of China and 5 of Korea and 10 of other global countries' analyzed. CCR and BCC analysis were performed to determine the cause of the inefficiency of DMUs by measuring the technical efficiency, pure technology efficiency and scale efficiency. Result - Among the 20 retail distributors, Costco, Kroger (Global), Eland World, BGF(Korea) are operating efficiently. Chinese retailers are operating inefficiently. Retailers' CRS status means the growth rate of input is equal to the growth rate of output. In the case of DRS status, the ratio of output to input variable is much smaller. In order to improve inefficiency, reducing input variables can be a solution. For the firms in IRS status, the rate of increase in output is relative greater than the input. That means efficiency is good condition. The analysis result shows that most retailers are showing DRS status especially Chinese retailers. Scale efficiency is a major cause of inefficiency rather than pure technology efficiency. It is recommended for ineffective retailers to reduce inputs to become efficient retailers. Otherwise, retrain existing employees or introducing advanced technologies to increase the output. Conclusions - Most of Chinese retailers are operating inefficiently which caused by the excessive investment in the inputs. On the other hand, Other global retailers are analyzed to be efficient by DEA. In this study, benchmarking targets of some retailers' suggested to improve the management efficiency especially in inputs.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.183-202
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• 1997

Health care organizations have been faced with financial difficulties under turbulent health care environment. This situation led hospitals to concentrate their efforts to improve their managerial efficiency in various ways. This study aims to evaluate technical efficiency of 31 tertiary hospitals in Korea and find determinants which are closely related with hospital efficiency. Data envelopment analysis(DEA) and Tobit Model were adopted for study. For the analysis, human resource factors such as number of physicians, nurses, and administrative staffs are used as input variables and the number of inpatients and outpatients) are used as output variables. Among 31 hospitals, in CCR model, 8 hositals showed efficiency score 1 which means they have been operated in very efficient ways and BCC model showed 13 of 31 hospitals as efficient organizations. Next, we analyzed determinants which are closely related with hospital efficiency. By using Tobit model, the study showed hospital size, Quality of care, value added per capita, and revenue per patient were closely related with hospital efficiency, However, it appeared that financial status of hospitals(i.e : making profit or not) was not related with hospital efficiency.

• Health Policy and Management
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• v.11 no.4
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• pp.38-53
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• 2001

The price of the hospitals' services is regulated by the governmental health insurance reimbursement schedule in Korea. On the other hand, the emphasis on the quality of care of hospitals service is ever increasing. Under the environment, hospitals have to understand the effects of the activities to improve quality of care on efficiency and on financial performance so that they develop a management strategy that allows quality of care, operational efficiency, and financial achievement simultaneously. This study investigates the relationship among the concepts. The sample for the study includes 23 hospitals that have more than 300 beds. The concept of quality of care is measured by the score reported by the Hospital Standardization Survey (HSS) instituted by Korean Hospital Association. Efficiency is measured by the ratio of number of employee to the number of patients served. Financial performance is measured by the financial ratios indicating the profitability of a hospital. An analysis is performed using the multiple regression. The results show significant positive relationships between the HSS score and efficiency indicators, md between the HSS score and profit measures. However, the significant positive relationship between the HSS score and profit measures disappeared when efficiency indicators were introduced to the model. This study concludes that the structural quality of a hospital has a positive effect on efficiency of the hospital and that the structural qualify indirectly affects the financial performance of a hospital through the improvement of efficiency. Based on the findings, the implications on hospital management and health policy are discussed.

• Journal of Korean Society for Quality Management
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• v.49 no.2
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• pp.213-231
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• 2021

Purpose: This study intends to provide decision-making information to improve efficiency by analyzing the management efficiency of smart greenhouse business entities and identifying factors that affect the efficiency based on input and output. Methods: The subjects of analysis were business entities for cultivating strawberries in smart greenhouses in Jeolla region (northern and southern Jeolla provinces), and the analysis focused on the management performance of the 2019-2020 crop period (year). Data Envelopment Analysis(DEA) was applied as an analysis method for efficiency analysis, Quantile Regression(QR) analysis was applied as a factor affecting the efficiency. Results: The reason for the efficiency gap between business entities was that there were many business entities that did not minimize the input cost at the current level of output, and the area where the variance among business entities was large was the fixed cost per 10a. In the results of the affecting factor analysis, it was found that the seed-seedlings cost, fertilizer cost, other material cost, and employment and labor cost had a negative (-) effect on the efficiency, and that the repair and maintenance cost had a positive (+) effect. Conclusion: Therefore, to achieve the efficiency of scale, it is necessary to reduce the input scale to an appropriate level. In the case of business entities with low efficiency by quartile, the seed-seedlings, fertilizer, and other material costs reduce expenditures, and repair maintenance costs can improve efficiency by increasing expenditures.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.129-149
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• 2006

Six sigma, contrary to TQM, offers the concrete process for accomplishing the management innovation. Nowadays it has become as a standard means. Many companies claim to stand for durable management and would like to get customers' satisfaction and more profit with total six sigma activities. Under the present conditions we propose how to maximize efficiency with six sigma application on transportation management that is an issue among many companies.

• Magazine of the Korean Society of Agricultural Engineers
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• v.45 no.1
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• pp.23-32
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• 2003

The objective of this study is assessing water management efficiency using water withdrawals from rivers and water requirements for paddies. The water management efficiency was defined by the ratio of water requirements and water withdrawals. Water withdrawals were estimated using the operating times and pumping capacity of the pumping stations from 1992 to 1999 in the Han River and Nakdong River basins. Water requirements were estimated by adding the evapotranspiration of the crops and infiltrations in the irrigated area. Evapotranspiration from the paddies was calculated by the FAO modified Penman method with observed daily weather data. The monthly water management efficiency was analyzed for each pumping stations and the district offices of KARICO (Korea Agricultural and Rural Infrastructure Corporation). The efficiencies of 59 pumping stations in the Han River basin varied from 19% to 135%, and the average was 61%. The efficiencies of 146 pumping stations in the Nakdong River basin ranged from 17% to 190%, and the average was 72%. There were no good correlations between the water management efficiency and pump capacity or irrigated area, it showed that the water management efficiency was affected by the traditional water management practices rather than the scale of irrigation district.