• Health Policy and Management
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• v.22 no.1
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• pp.65-84
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• 2012

Because of the rising healthcare costs, there is a growing need for developing efficiency indicators for medical resources use and measuring efficiency of healthcare providers and healthcare systems using them. In this study, we aimed to develop efficiency indicators for medical resources use by means of Delphi technique. We systematically reviewed the existing measures of medical resource use. Thirty nine indicators were selected as a candidates across the six domains: medical personnel, medical equipment, medical facilities, ethical management, resource efficiency, and drug use. To develop efficiency indicators with professional consensus, a 2-round Delphi survey was conducted among 29 professional experts. The following indicators were selected based on the Delphi survey results: adjusted number of the patient per day and level of the nurse number medical personnel in medical personnel domain; the number of the scan a professional physician and the quality of the scan in medical equipment domain; bed utilization rate in medical facility domain; drug price reported pharmaceutical price by medical institutions, medical fee billing transparency, and medical care appropriateness in ethical management domain; costliness index in resource efficiency domain; and utilization of high cost drug and items per prescription in drug use domain. The efficiency indicators could provide valid information about efficiency of healthcare providers and healthcare systems with respect to their resources use and facilitate policies to improve their efficiency.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.231-239
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• 2021

The purpose of this study is to analyze the effect of risk efficiency, financial decisions, and financial performance on firm value due to advances in financial reporting technology. This research was conducted on all banking sub-sector companies listed on the Indonesian capital market during a period of eight years, namely 2012-2019 which were selected using the purposive sampling method. The advancement of financial reporting technology is measured by two indicators based on the Internet financial reporting approach. Risk efficiency is measured using three indicators with a risk proxy relative efficiency approach using value at risk. Financial decisions are measured by two indicators that represent funding decisions and investment decisions. Financial performance is measured by two indicators with the profitability approach, and firm value is measured by two indicators based on the investor perception approach. The data analysis technique in this study used multivariate analysis with SEM-PLS. The empirical findings of this study are the advances in financial reporting technology, financial decisions, and risk-based efficiency value have a significant effect on firm value, while financial performance does not have a significant effect on firm value. Banking companies reduce risk to achieve efficiency and result in lower profits.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.11-22
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• 2007

Nowadays, the competitiveness of any organisations rests dominantly on how they can manage their performance, A host of performance variables such as quality, reliability, and efficiency are recognised as competitive priorities. This paper reviews the criteria and dimensions of performance measures, and discusses six core performance indicators in agribusiness operations with particular reference to the poultry/broiler farms. Besides, a holistic "Quality, Reliability and Efficiency" view of performance is proposed when developing measures for poultry agribusiness operations.

• Quality Improvement in Health Care
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• v.24 no.1
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• pp.30-39
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• 2018

Objectives: In Korea, there are many kinds of evaluations for medical institutions. However, evaluations are increasingly burdensome for medical institutions because evaluation agencies, evaluation timing, and evaluation methods are different. The purpose of this study is to improve the efficiency of evaluation for medical institutions and ultimately to provide quality medical services to patients. Methods: In this study, 2,310 indicators of 19 kinds of evaluation for medical institutions were analyzed. Results: 1,424 indicators were available for on-site surveys and 886 indicators were not available for on-site surveys. There were 4 kinds of evaluation that can be integrated in total, 12 kinds of evaluation that can be integrated partially, and 3 kinds of evaluation that need to maintain the current evaluation system. Conclusion: In order to provide patient-centered quality medical services through reduction of burden due to the evaluation for medical institutions, it is necessary to deeply discuss the efficiency of evaluation integration and result utilization.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.3 no.3
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• pp.29-36
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• 2000

The purpose of this study is to develop and adapt indicators for the rural community assessment. Bearing in mind, indicators are derived from the various theoretical literature review and the efficiency of the indicators has been tested through comparing and evaluating 3 different rural communities which was selected based on their distance from Seoul. In order to assess a rural development project, the assessment indicators should include at least 5 domains of natural environment, socio-economic, quality of living environment, community characteristics, public participation, which are the basic formation of indicators of this study. Furthermore, this approach could be a ground for the environmentally friendly rural development planning.

• KIEAE Journal
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• v.10 no.5
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• pp.43-55
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• 2010

This research investigated 162 residential unit plans which were located in Seoul and Gyonggi Province ranging from 58 to $118m^2$ unit net area recently. Through the investigation of unit plans, a matrix was developed based on the 5 criteria for space composition types. 5 criteria are building stock types, W/D ratio of units, unit net area, number of bay to the main orientation, and openness types. After review the matrix, 10 typical unit types were selected. At the same time, quantitative evaluation indicators were developed based on the 4 criteria such as efficiency, openness, flexibility, environmental sustainability. On each criterion, 3 indicators were developed, and measured on 162 residential unit plans. Firstly, correlation analysis were pursued on 5 criteria for space composition types and 12 quantitative evaluation indicators, and reviewed on each other. Finally, quantitative evaluation indicators of 10 typical unit types were displayed on radar charts in order to show the integrated evaluation on 4 criteria such as efficiency, openness, flexibility, environmental sustainability. From the reviews and radar chart analyses, advantages, disadvantages, and improvements on each typical unit type were presented as research results.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.93-107
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• 2014

Interests on collaborative research and academic relationship among researchers have been increased. Collaborative researchers can maximize productivity, time and cost savings, and reduce the risk of research. An empirical study on the research productivity of co-authors' network and review efficiency of the reviewer network was conducted based on co-author networks and reviewer networks in Korea Society of IT Service. This study aims to find the characteristics of the co-author and reviewer networks, and to analyze research productivity and review efficiency in order to draw some implications. The meaning of interactions among professional groups was analyzed. Research productivity index was calculated using 728 authors' papers submitted to the society. In order to verify the effects of indicators of social network analysis on research productivity and review efficiency, correlation and regression analyses were used. As a result, the indicators of network centrality did not affect the review efficiency, but affect the research productivity.

• Korea Journal of Hospital Management
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• v.10 no.1
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• pp.71-92
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• 2005

The purpose of this study is to analyze the efficiency in management of general hospitals and investigate the major factors on efficiency. Specifically, the management of each general hospital is evaluated by using Data Envelopment Analysis(DEA) technique which is a nonparametric statistical method for measurement of efficiency. Then, the influencing factors are investigated through analyses of Decision-Tree Model and Tobit Regression. The target hospitals were general hospitals in which bed sizes are between 200 and 500 among a total of 276 general hospitals. The main data of financial indicators were collected from 48 hospitals, and it was analyzed by using two statistical models. For Model I, three input and two output variables were used for efficiency evaluation. In particular, three input variables were the number of medical doctors, the number of paramedical personnel, and the bed size. And, two output variables were the numbers of inpatients and outpatients per year, adjusted by bed-size. The results of DEA analysis showed that only seven out of 48 hospitals(15%) turned out to be efficient. The decision-tree analysis also showed that there were six significant influencing factors for Model I. Six factors for Model I were Bed Occupancy Rate, Cost per Adjusted Inpatient, New Visit Ratio of Outpatients, Retired Ratio, Net Profit to Gross Revenues, Net Profit to Total Assets. In addition, the management efficiency of hospital is proved to increase as profit and patient-induced indicators increase and cost-related indicators decrease, by the Tobit regression model of independent variables derived from the decision-tree analysis. This study may be contributable to the development of analytic methodology regarding the efficiency of hospital management in that it suggests the synthetic measures by utilizing DEA model instead of suggesting simple ratio-analyzing results.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.7-17
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• 2017

Loan consultants assist clients with loan application processing and loan decisions. Their duties may include contacting people to ask if they want a loan, meeting with loan applicants and explaining different loan options. We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. They do not work as a team, but do work independently. Since he/she is not an employee of the bank, the consultant is paid solely in proportion to how much he/she sell loans. In this study, a consultant is considered as a decision making unit (DMU) in the DEA (Data Envelopment Analysis) model. We use a principal component analysis-data envelopment analysis (PCA-DEA) model integrated with Shannon's Entropy to evaluate quality efficiency of the consultants. We adopt a three-stage process to calculate the efficiency of service quality of the consultants. In the first stage, we use PCA to obtain 6 synthetic indicators, including 4 input indicators and 2 output indicators, from survey results in which questionnaire items are constructed on the basis of SERVQUAL model. In the second stage, 3 DEA models allowing negative values are used to calculate the relative efficiency of each DMU. In the third stage, the weight of each result is calculated on the basis of Shannon's Entropy theory, and then we generate a comprehensive efficiency score using it. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants and how to use the efficiency to improve the service quality of the consultants.

• Journal of Environmental Science International
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• v.26 no.8
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• pp.977-991
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• 2017

The purpose of this study is to establish common indicators that constitute a "low-carbon green city" and determine their priorities from the perspective of Incheon Metropolitan City with a view to help develop its climate change strategy strategic city. Several major cities, domestic and overseas, were benchmarked to come up with preliminary indicators consisting of six areas, twenty two planning factors, and 74 indicators. In order to evaluate the validity and relevance of preliminary indicators, expert FGI (Focus Group Interview) was conducted that changed the numbers of final indicators to six areas, twenty two planning factors, and 82 indicators. Finally, AHP (Analytic Hierarchy Process) was conducted to assign relative importance (i.e. weights) to each indicator. Through the layering process of AHP, the upper category of "field" and lower category of "planning factors" were set up as policy prerequisites for constructing a low-carbon green city (6 fields, 22 planning factors). The AHP results for the first level (fields), green city space was ranked first, followed by energy and resource circulation, green traffic, ecological preservation, green logistics, and governance. Among all planning factors, land use, energy efficiency, traffic system improvement, location planning, securing of ecological area, efficiency of logistics, and cooperative organization showed the highest priorities.