• Proceedings of the Korean Institute of Building Construction Conference
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• 2005.05a
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• pp.141-147
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• 2005

Usually, processing whole project or a part of frame work delays due to acceleration, changing orders, management, characters of project. overtime, worker crowding, early occupation in the field of construction. Through a whole project, these factors cause decreasing construction labor-productivity which is the most dependent in business of construction. These kind of decreasing of construction labor-productivity cause many negative effects, just as extension of time, increasing cost in project of construction. Regardless of characters of construction or decreasing labor-productivity, extension of time is a incident which needs acceleration, also it cause a high possibility of claim and dispute. The productivity has just a broad meaning in business of construction. That's why it's difficult to apply in the field of construction. Especially, factors increasing or decreasing labor-productivity is defined by analysis of working as qualitative and outlined evaluation. However, study of the each factor decreasing construction labor-productivity analysis has not researched, because of difficulty of systematic measurement and management. The existed studies about management of productivity are just focused on estimation of productivity, not on evaluation of productivity. It was true that I couldn't examine clearly about the analysis of how much important per each the factor which have influence on labor-productivity because of the characteristic as qualitative that the labor productivity have On this study, i tried to get the factors decreasing of labor- productivity with gathering opinions of panels of expert's studies about the factors decreasing of labor-productivity on project of construction through Delphi method and i evaluated the result factors as quantitatively and subjectively about importance of factors decreasing construction labor-productivity Analysis, using AHP Method by Saaty. Also, using Delphi and AHP method, 1 suggest substantiated method qualitative factors are measured by quantitative criteria.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.983-989
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• 2009

This study aims to systematically identify direct and indirect factors that influence labor productivity and to build a model that mathematically quantifies them so as to efficiently manage and increase labor productivity in the construction work. This study was performed based on the productivity model for workers in reinforced concrete construction projects, because it aims to establish a general construction labor productivity model that reflects many factors that influence labor productivity. Using statistical analysis, we found that the components that significantly influence productivity were the worker component, the work characteristic component, the work technique component, the work management component, the equipment & materials component, and the work guide component, while the work delay components did not significantly influence productivity. In addition, a priority analysis was performed based on the components that showed statistically significant effects. The results of the analysis indicated that the influence of work management component and the work technique component is more than that of the worker component and the work characteristic component. The construction labor productivity model that was formulated in this study could be used for the determining the standard productivity during the initial planning stage, so the best strategy for increasing labor productivity could be formulated.

• Journal of Labour Economics
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• v.27 no.1
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• pp.165-179
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• 2004

While they compare the growth rate of wage with that of average labor productivity, we compare it with the growth rate of marginal labor productivity. After estimating the elasticity of substitution and technology level, we estimate the marginal labor productivity. Wages and marginal labor productivities are similar over 1963-2000. However, while wages come short of marginal labor productivities over 1963-1986, they exceed marginal labor productivities over 1987-2000. Although the growth rate of wage is not so different from that of marginal labor productivity, it can be disparate from that of average labor productivity. Therefore the former exceeding the latter does not mean the excessive wage growth off the labor demand curve.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.310-311
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• 2018

This study compared the labor productivity of the construction industry to the manufacturing and service industries. In addition, It analyzed the construction labor productivity gap of the G7 countries based on data from the Korean Productivity Center. A comparative analysis of construction labor productivity between manufacturing and service industries, based on statistics from the National Statistical Office, revealed a relatively low level and trend of continued decline. In addition, a comparative analysis of the productivity of construction workers in the major G7 countries found that the difference in productivity is very large, with an average of 65.3 %. Therefore, domestic construction companies and the government should prepare Improvement measures to improve productivity by investing in technology development to increase labor productivity and improving the production system of the construction industry.

• Journal of the Korea Institute of Building Construction
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• v.9 no.3
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• pp.79-85
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• 2009

Labor productivity issues within the construction industry are receiving increasing attention. With the improvement in the standard of living, domestic laborers are avoiding 3D(Difficult, Dirty, and Dangerous) jobs by degrees. Because of this situation, the problem of insufficient labor is exacerbating in several basic industries. In particular, insufficient labor is a serious problem in the construction sector, where the workers are ageing and labor costs are increasing. In this study, we adopt a systematic approach to identify factors that influence labor productivity and analyze the causality between the factors and their ripple effects with the aim that the results of the study will help improve labor productivity and ensure its effective management. The established labor productivity model using systems thinking will get a footing in the greatest strategy in the construction industry.

• Journal of the Korean Home Economics Association
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• v.30 no.3
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• pp.79-89
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• 1992

Indicies of the labor productivity were assessed from 80 industry foodservice erstablishments in terms of meals served per labor hour, labor minutes per meal served, and labor cost per meal served. The labor productivity indicies were also assessed according to variables related to work such as working hours, paryment for the workers, volume of feeding, utilization of foodservice equipment, use of processed foods, and background of employees. The summary of the results was as follows: 1. Manufacturing sector among surveyed industry foodservice showed the highest labor productivity indicies followed by training institute. 2. 28.8% of surveyed establishments used dishwashing machine, while manual dishwashing was used in 71.3% of subjects, equipped rate point was 9.8 out of 20, and disposable dish was used in 30% of subjects. 3. A significant positive relationship was found between the number of meals and the labor procductivity indicies. As the number of meals increased, more meals were served per worker as per labor hour. 4. A significant negative relationship was found between price of meal and the labor productivity didicies. As the price of meal increased, less meals were served per worker as well as per labor hour.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.353-354
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• 2023

Improving productivity in industries is a very critical issue, and improving labor productivity is especially important in construction industry, which is a labor-intensive industry. However, researches on labor productivity in construction industry are insufficient, and most of previous studies have limitations in terms of specificity and logic. In this study, fuzzy DEMATEL method was used to structural analyze of influence factors for labor productivity in construction industry based on previous researches and expert survey. The result of this study contributes to deriving priorities for improving labor productivity.

• The Journal of Industrial Distribution & Business
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• v.4 no.1
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• pp.5-10
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• 2013

Purpose - Labor productivity is extremely important to the profitability and competitive advantage of organizations that provide services to customers, such as banks. This study investigates the factors driving labor productivity in Iran's Melli Bank. Research design, data, methodology - Five managerial, psychosocial, cultural, and individual factors are identified and their relative importance for labor productivity prioritized using AHP. The required data are then collected through a questionnaire designed for a pairwise comparison of the driving factors of labor productivity and their subcategories. Results - The study outcomes reveal that the managerial and individual factors are the most important. Specifically, the most important factors in increasing labor productivity in the branches of Melli Bank are having a competent supervisor, promotion opportunities, fair working conditions, conscientiousness, the right tools, and a correspondence between skills and work. Conclusions - Implementing AHP using Expert Choice software revealed that, among the driving factors of labor productivity (i.e., managerial, psychosocial, cultural, environmental, and personal), managerial factors were considered the most important by the respondents.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.619-627
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• 2020

This study measures the relationship between labor productivity and national competitiveness. Through the shift- share analysis method, the paper has separated labor productivity into three factors: static shift effect, dynamic shift effect and endogeneous effect. Next, in combination with the Granger causality test, the paper examines the relationship between the factors constituting labor productivity and competitiveness during the period from 2005 to 2017. Research data is collected from General Statistics Office and annual global competitiveness reports. The results show that the interaction between labor productivity with global competitiveness index (GCI) in Vietnam has similar variation. Nevertheless, when separating labor productivity into three effects, this relationship shows more clearly that the impact of labor productivity on GCI scores is mainly caused by endogeneous effect, not by static shift effect or dynamic shift effect. Therefore, in order to improve its competitiveness, Vietnam should focus on a number of solutions: reforming the education system towards developing thinking capacity and creative capacity; fostering industrial manners to create dynamic and flexible workers; building the State with sufficient capacity to implement consistent and transparent policies; formulating policies to attract all economic sectors so that they actively participate in the field of human resource training for the country.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.103-104
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• 2015

Process management of reinforced concrete construction that many labor quantity and cost is put at a construction site is very important and gives a lot of influence on the subsequent process. Thus, there will be only used as a useful tool for process control by medical facilities and trend analysis of the flow of the process by the amount of labor input and productivity in reinforced concrete construction. productivity by type and quantity, and comparative analysis. In addition, it is necessary to calculate the standard of estimate and real commitment to labor productivity by type and quantity, and comparative analysis.