• Construction Engineering and Management
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• v.4 no.2 s.14
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• pp.48-51
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• 2003

• 발명특허
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• v.10 no.2 s.108
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• pp.54-55
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• 1985

• 월간 기계설비
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• s.36
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• pp.105-105
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• 1993

• 월간 기계설비
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• s.23
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• pp.162-163
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• 1992

• Journal of Sericultural and Entomological Science
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• v.10
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• pp.99-105
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• 1969

The results of investigation and management analysis for the silk filatures in Korea until 1968 are evaluated as followings. (1) The average cocoon purchasing amount for a filature was found as 10,800kg and they are processed 105kg per man on the cocoon assorting process, 8,683kg per day during the drying process of which 42 percent are dried with low temperature drying system. (2) The average cocoon cooking capacity is 50 g, cocoon per minute, but the cooking capacity per man is smaller in case of larger factory. (3) The silk production capacity per month per a filature is 6,000kg and the amount gets smaller in case of larger factory. (4) The employee cost per one kg of raw silk production was found as high in smaller factory and it was found that 200~300 sets size was the optimum capacity for operation. (5) In case of multiends silk reeling machine, the employee cost for the silk reeling process acts as the most peculier factor among six different cocoon processes and it is reached to conclued to deduct the number of employees for this process in order to deduct the production cost. (6) The correlation coefficients between cost factors and total labour cost was found as 46 percent, therefore the rest (54％) will be the production cost other than labour cost.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.73-94
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• 2013

The prinary cause of the decreasing SME's competitiveness in technology is the intensifying human resource shortages. The government supports a part of labor costs for SMEs as a means of policy. There are two ways of supporting labor costs for R&D personnel. One is to hire R&D personnel first then support their partial labor costs. The other is to support labor costs first for R&D personnel in national R&D programs then hire R&D personnel. This study analyzes the effectiveness of two different ways by classifying sales, no. of employees, R&D expenditure, no. of researchers, and no. of MA/Ph.D. researchers. In terms of employing researchers with MA or Ph.D., the effectiveness on employment subsidy is significantly higher than that of R&D subsidy. Its effect has been relatively high in non-metropolitan areas and manufacturing industry.

• Korea Trade Review
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• v.42 no.1
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• pp.1-25
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• 2017

By applying the AHP(Analytic Hierarchy Process), we have analyzed the importance and the order for priorities to the management risk factors of Korean SMEs & Venture companies in China. The major management risk factors of manufacturing companies were the rise in labor costs followed by fierce competition in the marketplace, problems involved with human resource management and the rise in the cost of materials. In the case of companies manufacturing electronic products, the rise of labor costs and alteration in government's tax policy were seen as the main risk factors. In the case of chemical product manufacturing companies, the reinforcement of environmental protection law and in automobile component manufacturing companies, apart from the rise in labor cost, the increase in raw materials costs were analyzed as the main risk factors. While considering the time period, the main risk factors of the companies that entered China in the 1990's were fierce competition and alteration in government's tax policy and for the companies that entered China in the 2000's, increase in raw material cost, the rise in labor cost etc were analyzed to be the main risk management factors.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.4 no.4
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• pp.385-391
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• 2006

The estimated decommissioning cost of nuclear research reactor is calculated by applying a unit cost factor-based engineering cost calculation method on which classification of decommissioning works fitted with the features and specifications of decommissioning objects and establishment of composition factors are based. Decommissioning cost of nuclear research reactor is composed of labor cost, equipment and materials cost. Labor cost of decommissioning costs in decommissioning works are calculated on the basis of working time consumed in decommissioning objects. In this paper, the unit cost factors and work difficulty factors which are needed to calculate the labor cost in estimating decommissioning cost of nuclear research reactor are derived and figured out.

• The Journal of Korean Academy of Prosthodontics
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• v.52 no.1
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• pp.18-26
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• 2014

Purpose: The purpose of this study was to estimate the cost of dental implant using the bottom-up approach with the current data from dental clinics. Materials and methods: In this study, direct and indirect costs required for each treatment were calculated using the bottom-up approach. In the bottom-up costing, the average monthly total cost of dental clinic includes labor and material costs, administrative expenses, medical malpractice costs, and opportunity costs of invested capital. For the dental implant cost components, those include direct costs (labor costs, laboratory costs, material costs, depreciation or other operating costs), indirect costs (administrative costs), and the opportunity costs of investment for dental clinic. Results: Dental implant costs of metal crown, porcelain crown and over-denture were 1,449,000 won, 1,583,000 won, and 2,471,000 won respectively. The proportion of cost components was as follows. The labor cost were 50%, and material, administrative and other cost were 33%, 15% and 2%, respectively. For direct, indirect and investment cost, the ratio were 83%, 15% and 2%, respectively. Conclusion: The labor costs were evaluated to comprise largest proportion (about 50%, 730,000 won). Dental implant cost using Bottom-up costing was 1,450,000 won for metal crown and 1,580,000 won for porcelain crown.

• Korea Trade Review
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• v.41 no.4
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• pp.61-90
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• 2016

This study aims to identify the sources of productivity change in export manufacturing firms. After estimating the Malmquist productivity index, a panel regression was used to calculate the source of productivity change. Upon conducting a literature review of this field, six variables were selected as explanatory variables. The results of an analysis of 355 export manufacturing firms operating from 2009 through 2015 are as follows: First, both innovation activity and total assets had a positive impact on productivity change. However, employment cost intensity, equity ratio, and current ratio had a negative impact on productivity change in export manufacturing firms. Second, innovation activity and intangible assets had a positive impact on productivity change, but employment cost intensity, selling expense intensity, and equity ratio had a negative impact on productivity change in large export manufacturing firms. Third, innovation activity had a positive impact on productivity change, but employment cost intensity and equity ratio had a negative impact on productivity change in small and medium export manufacturing firms. Fourth, intangible assets had a positive impact on productivity change, but employment cost intensity, selling expense intensity, and current ratio had a negative impact on productivity change in export manufacturing firms listed on the Korea Composite Stock Price Index. Fifth, innovation activity and total assets had a positive impact on productivity change, but employment cost intensity and equity ratio had a negative impact on productivity change in manufacturing firms listed on the Korean Securities Dealers Automated Quotations. The managerial implications of this study are also discussed.