• The Journal of Sustainable Design and Educational Environment Research
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• v.11 no.3
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• pp.46-54
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• 2012

The accuracy of cost estimation at an early stage in school building project is one of the critical factors for successful completion. So various of techniques are developed to predict the construction cost accurately and expeditely. Among the techniques, Support Vector Machine(SVM) has an excellent ability for generalization performance. Therefore, the purpose of this study is to construct the prediction model for construction cost of educational building project using support vector machine technique. And to verify the accuracy of prediction model for construction cost. The performance data used in this study are 217 school building project cost which have been completed from 2004 to 2007 in Gyeonggi-Do, Korea. The result shows that average error rate was 7.48% for SVM prediction model. So using SVM model on predicting construction cost of educational building project will be a considerably effective way at the early project stage.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.26 no.1
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• pp.81-90
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• 2019

Purpose: In accordance with changes in the healthcare environment, it is necessary to understand managerial cost accounting for nurses. This study aimed to develop educational components of managerial cost accounting for nurses. Methods: This study is comprised of a comprehensive literature review, nominal group technique using focus group interview, audit by an expert group, and priority analysis. Results: The comprehensive literature review identified 15 educational components of managerial cost accounting. In the nominal group technique, the participants finally agreed on eight educational components of managerial cost accounting for nurses. The average content validity index of these components was 0.99. "Activity-based costing" scored the highest for relative importance (15.7%). Conclusions: These results can be used to develop an education program to strengthen nurses' managerial cost accounting competencies. Furthermore, it will be helpful to use a basis for the development of cost management curricula for nursing students and on-the-job training courses of nurse managers and executives.

• The Journal of Sustainable Design and Educational Environment Research
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• v.14 no.1
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• pp.1-9
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• 2015

The accurate estimation of construction cost is critical for effective budgeting and financing of the project. Accurate estimates also allow for informed decisions when considering the responsiveness of bids or proposals and for a contractor to better monitor construction progress. However, current method for construction cost of the public educational facility uses a basic criteria in Korea, e.g, construction cost per unit floor area. Therefore, the purpose of this study is to examine present architectural work cost rate of elementary, middle, and high school delivered by BTL(Build-Transfer-Lease). We examined real construction cost of educational facility according to level of school, such as elementary, middle, and high school. The examination revealed that unit price of BTL educational construction cost are different to the level of school, but the composing rate of architectural work cost of the educational facility are very similar. As a result, it is recommended that future researches are initiated to create specific methods to support the accurate cost estimation of educational facility.

• Journal of the Korean Home Economics Association
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• v.39 no.12
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• pp.107-127
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• 2001

The objectives of this study were to investigate how the types of awareness of cost and benefit of consumer complaining behavior about the private educational institute services were classified, how different demographic and consumer complaining rebated characteristics were according to the types of awareness of cost and benefit about consumer complaining behavior, and what were the determinant factors of the types of awareness of cost and benefit about consumer complaining behavior. The survey of this study was conducted by means of self-administered questionnaire with 546 university students living in Seoul and Cheongjoo. They had an experience of studying in the private educational institute in recent two years. Major findings were as following: (1) The types of awareness of cost and benefit of consumer complaining behavior about the private educational institute services were classified into four - awareness of high cost and low benefit, high cost and high benefit, low cost and medium benefit, medium cost and medium benefit. (2) The attitude about complaints, the confidence of success about complaint, and the knowledge about complaints were different significantly according to the types of awareness of cost and benefit about consumer complaining behavior. (3) The types of awareness of cost and benefit about consumer complaining behavior were different significantly according to only a school year among demographic characteristics. (4) The determinant factors of the types of awareness of cost and benefit about consumer complaining behavior were the attitude about complaints, the confidence of success about complaints, the knowledge about complaints, and the major field of study.

• Journal of the Korean Institute of Educational Facilities
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• v.25 no.1
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• pp.3-12
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• 2018

Educational facilities are more uncertain about maintenance costs due to their comprehensive and long life-cycle compared to commercial buildings. In addition, maintenance of the existing post management system can not maintain the original function of education facilities continuously and economically. In order to overcome this problem, it is necessary to analyze the repair and replacement cost for the uncertainty factor in maintenance. This study propose a model to determine repair and maintenance cost and cycle of educational facility based on probabilistic estimation concept. For the analysis, Monte Carlo simulation, a probabilistic analysis method, was applied based on the repair and maintenance history data of the educational facilities in Florida. The results of this study can be used as a guideline for quantitative facility management and facility management research.

• Journal of the Korean Institute of Educational Facilities
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• v.14 no.4
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• pp.34-42
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• 2007

The investment of BTL(Build-Transfer-Lease) projects for the educational facilities has been increased since 2005. However, many trial errors and problems have been occurring due to the lack of inspection criteria in maintenance cost for the lift cycle of the facilities. Thus, purpose of this study is to derive regression equation for the daily inspection and the regular inspection through analysis of CAD data in order to set the inspection criteria. It is possible to calculate economical maintenance cost of BTL project in educational facilities using criteria of inspection time through the regression equation developed in this study.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.65-67
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• 2011

It is necessary to the development of the best maintenance system for applying the long-term maintenance plan using the cost breakdown structure in the educational facilities. This study developed the cost breakdown structure for the best maintenance system using the delphi method. For the convenience of maintenance, the maintenance cost breakdown structures are separated into building exterior wall, building inside wall, electric installation, heating installation and outdoor facilities. And these results atomized in each parts. And this study constructed the cost breakdown structure to maintenance's practicality and effectiveness through the expert analysis.

• Journal of the Korean Institute of Educational Facilities
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• v.23 no.2
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• pp.19-21
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• 2016

• Journal of the Korean Institute of Educational Facilities
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• v.18 no.5
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• pp.20-25
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• 2011

• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.127-144
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• 1999

The purposes of this study were to identify the housing maintenance cost, imputed rent fee and total housing cost of households living in rental house, to analyze the factors related to their housing maintenance cost, imputed rent fee and total housing cost and to investigate the factors contributing to total housing cost to total household income ratio. The data used for these purposes, was 97 KHPS of Daewoo Economic Research Institute. Sample size of households living in rental house, was 663. Statistics performed for the analysis were frequencies, percentiles, t-test, Lorenz cutie and Gini coefficient, Tobit analysis, OLS and Logistic analysis. The results of this study were as fellows: First, monthly cost of monthly rent & maintenance and repairs of households living in rental house with a deposit was lower than rental house, while the imputed rent fee of households living rental house with a deposit was higher than monthly rent households'And, total housing cost of households living in rental house with a deposit was higher than monthly rent households'. Second, Gini coefficient of the housing maintenance cost was 0.440, Gini coefficient of imputed rent fee was 0.362, and Gini coefficient of total housing cost was 0.291. Third, the variables related to their housing maintenance cost were family type, total household expenditure of socio-demographic characteristics and residence, type of rent, housing type of housing environmental factor. Also, the variables contributing to imputed rent fee were job type and educational attainment of household hearts, the number of family members, total household expenditure, residence, type of rent, housing type and tole number of rooms. In addition, the variables associated with total housing cost were job type and educational attainment of household head, total household income and residence, type of rent, housing type and the number of room. Finally, age, job type, educational attainment of household head, wife's employment status, the number of family members, family type, total household expenditure, residence, rent type of rent, housing type, the size of living space, and the number of room were significant variables contributing to total household cost to total household income ratio.