• Korea Journal of Hospital Management
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• v.13 no.3
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• pp.69-93
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• 2008

Rising healthcare cost is a global phenomenon that justifies governments' introduction of 'incentive regulation' plan for the improvement of hospital efficiency. A number of previous studies tried to evaluate the efficiency of healthcare organization by using Data Envelopment Analysis(DEA), a common efficiency benchmarking method. However, there is a concern that this kind of efficiency evaluation could induce "quantity-quality trade-off". Moreover, as quality aspect is especially important in terms of 'effectiveness' of health care, it should be considered in efficiency evaluation of healthcare organization. A number of different models were tried so far to incorporate quality aspect into DEA, however, none is universally recognized as a standard. Thus, in this study, previous quality-incorporating DEA models were categorized into 6 types according to the way of incorporating quality aspect, and strengths and limitations of each type were reviewed with a set of artificial data as an example. Based on this review, a new quality-incorporating efficiency evaluation model, named Quality-adjusted output DEA(QAO-DEA), was suggested. As an exploratory empirical analysis, technical efficiency of human resource were measured with different quality-incorporating DEA models, using 2004 data from National University Hospitals. In conclusion, Quality-adjusted output DEA(QAO-DEA) model seems to be one of the most desirable alternatives to incorporate quality aspect in efficiency evaluation of hospital, and deserves the consideration as a policy tool to induce simultaneous improvement of both efficiency and quality.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.45-61
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• 2004

This study is to identify the differences in service quality for the 2nd-scale hospital Industries. The subjects of this survey for the empirical analysis are limited to the 2nd- scale hospitals in Korea: data are collected in Seoul, Incheon and Kyungki areas. The results are as follows. First, the efficiency for hospital operations confirmed the differences in bed scale. Second, the high-efficiency hospitals attach importance to efficiency with more than 100 bad scale and the low-efficiency hospitals attach Importance to service quality with less than 100 bed scale.

• Journal of Korean Society for Quality Management
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• v.26 no.3
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• pp.100-107
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• 1998

To evaluate the total quality activities is the most fundamental and critical process as one of the PDCA cycle. The quality award criteria such as Malcolm Baldrige National Quality Award and Deming Award can be a, pp.ied to the guideline for evaluating quality activities. We can identify several important factors for TQM by referring quality award criteria, but they don't suggest how efficiently implement TQM. In this paper, two methodologies are a, pp.ied to evaluate the TQM activities comparatively. One of them is the traditional scoring system (TSS) by analytic hierarchy process (AHP). TSS is the system which evaluates the performance of TQM by the weighted sum of critical success factors. Several quality award system are typical examples of TSS. The other is the efficiency measuring system (EMS) by data envelop analysis (DEA). DEA outperformed other alternative methods to measure the efficiency and it can be a, pp.ied to evaluate the TQM activities. The evaluation system by DEA can be named as EMS. The objective of this paper is to suggest a model called TAE (Total quality management Activities Evaluation), for evaluating TQM activities. In this model TQM organizations are classified into four types by considering TSS and EMS. Those types are high weighted sum and high efficiency type, high weighted sum and low efficiency type, low weighted sum and high efficiency type, and low weighted sum and low efficiency type. Therefore TQM organizations must not only make efforts to get the higher scores in terms of TSS, but also take necessary steps to enhance their efficiencies.

• Journal of Korean Society for Quality Management
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• v.36 no.4
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• pp.102-116
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• 2008

The most widely used models to study the quality of service are the SERVQUAL and SERVPERF models that measure service mechanisms. This paper is to estimate service efficiency and consistency for Retail Industry. We tried to measure the service quality and overall satisfaction by using DEA and PCI, degree of combination and top2box which is a little bit different methodology from traditional ones. Rather than using the usual method of converting the service quality index by mean value, the Service Efficiency Index(SEI) and Service Quality Consistency Index(SQCI) are used to measure the efficiency and consistency level, which in turn can be used as the new service quality indices. The result of SEI and SQCI show the efficiency frontier in retail industry that 6 DMUs are analyzed relative efficient DMUs, 12DMUs are inefficient DMUs and retail Industry consistency level appeared low(0.35-0.47) Also, there is a significant difference in terms of efficiency and consistency in the each retail industry. Finally, we showed the summarized result as the Effi-Con Matrix.

• 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 Korean Society for Quality Management
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• v.37 no.1
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• pp.80-90
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• 2009

Nowadays, there are many companies which employ the SQI measurement to assess service quality. The purpose of this study is to measure the service efficiency for Bank Industry. In this paper, we tried to measure the efficiency of service quality and overall customer satisfaction by using Data Envelopment Analysis(DEA). Rather than using the usual method of converting the Service Quality Index(SQI) into mean value, we applied CCR/BCC models in DEA to service quality efficiency. Also, DEA/PS Model is recommended as appropriate model for evaluating service efficiency by complementing the shortfalls of the weighted value of DEA Model. In this study, six dimensions of service quality were considered as input variables and output variables(overall customer satisfaction, reusing intention, and word of mouth). The result of this study statistically verifies that 5 DMUs are relatively efficient, and intensive activities for service efficiency are needed for 20 sample branches. Managerial implications based on the analysis were suggested.

• Journal of Korean Academy of Nursing
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• v.44 no.4
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• pp.418-427
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• 2014

Purpose: Objectives of this study were to investigate the association between efficiency and quality of health care in Long-term Care Hospitals (LTCH) and determine related factors that would enable achievement of both high efficiency and high quality at the same time. Methods: Major data sources were the "2012 Korean Assessment of Propriety by Long-term Care Hospitals" obtained from the Health Insurance Review & Assessment Service. Cost variables were supplemented by a National Tax Service accounting document. First, data envelopment analysis was performed by generating efficiency scores for each LTCH. Second, matrix analysis was conducted to ascertain association between efficiency and quality. Lastly, kruskal-wallis and mann-whitney tests were conducted to identify related factors. Results: First, efficiency and quality of care are not in a relationship of trade-offs; thus, LTCH can be confident that high efficiency-high quality can be achieved. Second, LTCH with a large number of beds, longer tenure of medical personnel, and adequate levels of investment were more likely to have improved quality as well as efficiency. Conclusion: It is essential to enforce legal standards appropriate to the facilities, reduce turnover of nursing staff, and invest properly in human resources. These consequences will help LTCH to maintain the balance of high efficiency-high quality in the long-run.

• 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.

• The Journal of Economics, Marketing and Management
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• v.4 no.2
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• pp.20-32
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• 2016

The purpose of the present study is to investigate the audit quality and Investment efficiency of the listed companies on the Tehran Stock Exchange (TSE). The population includes 94 firms selected through systematic sampling. The data is collected from the audited financial statements of the firms provided by TSE's website from 2008 to 2015. In this study the variables, auditor industry specialization, auditor reputation, auditor tenure and auditor independence has been used to investigate audit quality. The results of multiple linear regression analysis show that there is a significant relationship audit quality and Investment efficiency.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.771-784
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• 2016

Purpose: The purpose of this study is to analyze the efficiency and productivity of the quality by integrating the product quality and service quality of global automobile brands from the customer's perspective. Methods: In this study, the data from JD Power and GoodCarBadCar.net were used to analyze the efficiency and productivity of a total of 24 automobile brands (10 luxury brands and 14 mainstream brands) between 2009 and 2013. For this, DEA (Data Envelopment Analysis) and MPI (Malmquist Productivity Index) were used. Results: The mean efficiency of the quality of global automobile brands were 0.725 for luxury brands and 0.587 for mainstream brands, which suggests generally higher efficiency for luxury brands. The productivity of the quality of global automobile brands increased by 16.1% for luxury brands while it decreased by 3.1% for mainstream brands. Conclusion: The study provides a theoretical implication in that it emphasized the efficiency of the quality viewed from the customer's perspective, and investigated the quality of the product and that of service in an integrative manner. In addition, this study provides also a practical implication in that it suggests how to set the sales goal by the brand and how to manage according to the characteristics of the brand to the managers of automobile manufacturers.