• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.187-188
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• 2013

Meanwhile, the importance of managing factors affecting labor productivity has been recognized and emphasized. However, in the previous study, qualitative evaluation only took place for these factors. In this study, therefore, identified and quantified the priority of factors decreasing labor productivity, and established basic data.

• Environmental and Resource Economics Review
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• v.24 no.2
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• pp.411-433
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• 2015

This paper decomposed energy productivity changes across 14 Korean manufacturing industries into 5 components, technological catch-up(EC), technological progress(TC), and changes in labor-energy ratio(LC), capital-energy ratio(KC) and energy mix(EMC). Then we also figured out the possible relationship between energy productivity change and export growth rate across the industries. It is found that (1) technological progress, changes in capital-energy ratio and energy mix contribute to energy productivity growth in Korea during the sample period, (2) technological progress is the primary driving forces for energy productivity growth, (3) increase in export growth rate had a positive impact on energy productivity growth excepting a part of energy-intensive industries.

• Korean journal of food and cookery science
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• v.14 no.1
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• pp.76-83
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• 1998

The purpose of this study was to evaluate the foodservice management practices and productivity in elementary schools in order to provide basic information for an efficient food service management. This approach was achieved using a variety quantitative and qualitative information including general foodservice management, managerial and operational factors, and the productivity in elementary school foodservice systems. The labor productivity in 28 school foodservice system was assessed and related to a number of influencing variables within the system. The productivity measurement was based upon the total meal equivalents as a ratio of the total direct and non-direct labor hours required to prepare these meals. Twenty-eight elementary schools located in Seoul and Kangnung were surveyed to get data for the variables. Questionnaire and a survey form were mailed. Statistical methods used in this study were descriptive analysis, $\chi$$^2$-test, 1-test and one-way ANOVA analysis. Elementary schools in Seoul were all located in urban areas, whereas elementary schools in Kangnung were in urban areas (40.0%), provincial areas (40.0%) and in isolated areas (20.0%). Total average number of meals including children and staff was 928.2${\pm}$ 650.0 with a yery significant difference (p<0.001) between Seoul and Kangnung. The average cost of school meal in Seoul and Kangnung were 1191.0 won and 1526.2 won, respectively. The result of Pearson Correlation analysis indicated that labor cost per meal, 1-week meal equivalents and meal equivalents per labor were significantly correlated with the productivity.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.401-405
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• 2001

The purpose of this study is to provide productivity analysis of conventional slab method productivity and deckplate methods in building construction. Productivity analysis was performed on the data in construction sites and a interview survey. The results of this study are as follow: 1. Kem deckplate is analyzed to the most economic in a view of the cost. 2. Kem deckplate is analyzed to the most economic and order Ferro deckplate, Form deckplate and conventional slab method in a view of the productivity. 3. Kem deckplate is analyzed to the superior slab method in a view of the quality. 4. Conventional slab method is investigated disaster of precipitation and Deckplate method is hazard of an eletric shock. Therefore, Kem deckplate method is analyzed to the superior productivity

• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.04a
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• pp.155-158
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• 2007

The construction industry kept lower level of the technology and productivity improvement than any other kinds of industry. But in most analysis of previous construction work which promoted the productivity of construction, the analysis process has only developed by the economical efficiency or the time studies through work sampling in construction field, So We suggest motion analysis as a tool to solve these problems. Spacially, this study find out productivity improvement method of steel frame fabrication works with using motion analysis. If the result of this study were to be applied to the actual construction field, it will be of great help for Building Construction Automation.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.548-553
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• 2006

Activity-based productivity data can be used as an significant reference in many areas of project management such as performance evaluation and project planning. However, the existence of various factors influencing construction productivity makes it difficult to collect and analyze the productivity data. In the most of the domestic construction sites, there is no systematic method to collect and analyze the productivity data along with information on influencing factors; it is common to heavily rely on experience and intuition of field managers when dealing with construction productivity data. Therefore it is necessary to develop a management system for collecting and utilizing the productivity data as well as the factors influencing construction productivity. The main objective of this research is to define the construction productivity and its influencing factors at the activity level. In addition, methodologies on how to analyze the productivity data and to estimate productivity of future projects are proposed.

• Journal of Korea Trade
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• v.26 no.6
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• pp.96-117
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• 2022

Purpose - Considering the recent instability of world economy and its heavy dependence on foreign, Korea must formulate breakthrough approaches to proactively cope with these adverse global developments. As such, this study aims to ascertain how participation in global value chains (GVCs) relates to corporate productivity and derive policy implications. Design/methodology - This study utilizes the microdata of Korean manufacturers to develop indicators of GVC participation at the enterprise level and analyzes the effects of GVC participation on the firm's total factor productivity by using fixed effect model. Findings - Enterprises with highest rates of export-side GVC participation see their productivity grow as their export-side GVC participation rates increase. In addition, when companies are classified by their export-side GVC participation rates, increasing export values improves all firm's productivity. In particular, those with low participation rates are analyzed to achieve higher productivity by increasing their imports, not only exports, which implies that companies with lower export-side GVC participation can boost productivity by reinforcing their export and import activities. Originality/value - This research paper distinguishes itself from others in that it makes a novel attempt to design the indicators of GVC participation at the enterprise level, not at the national or industry level. In addition, this study contributes to the existing literature by dividing companies into subgroups depending on their GVC participation rates for each of export and import and identifying variances in the effect of GVC participation on productivity growth among subgroups.

• Journal of Microbiology and Biotechnology
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• v.21 no.11
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• pp.1127-1142
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• 2011

The aim of this investigation was to select effective Pseudomonas sp. strains that can enhance the productivity of soybean-wheat cropping systems in Vertisols of Central India. Out of 13 strains of Pseudomonas species tested in vitro, only five strains displayed plant growth-promoting (PGP) properties. All the strains significantly increased soil enzyme activities, except acid phosphatase, total system productivity, and nutrient uptake in field evaluation; soil nutrient status was not significantly influenced. Available data indicated that six strains were better than the others. Principal component analysis (PCA) coupled cluster analysis of yield and nutrient data separated these strains into five distinct clusters with only two effective strains, GRP3 and HHRE81 in cluster IV. In spite of single cluster formation by strains GRP3 and HHRE81, they were diverse owing to greater intracluster distance (4.42) between each other. These results suggest that the GRP3 and HHRE81 strains may be used to increase the productivity efficiency of soybean-wheat cropping systems in Vertisols of Central India. Moreover, the PCA coupled cluster analysis tool may help in the selection of other such strains.

• The Korean Journal of Health Service Management
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• v.9 no.3
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• pp.43-55
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• 2015

Objectives : This study analyzed the managerial efficiency of hospitals and identified the productivity trends for three years. Methods : Data were collected from 44 tertiary hospitals and 32 university hospitals from 2009 to 2011. Efficiency scores and productivity trends were evaluated with the DEA (Data Envelopment Analysis) method. The input variables were the numbers of beds, doctors, nurses, and health personnel, and the medical costs. The output variables were the numbers of outpatients, and inpatients, and the medical revenues. Along with the traditional input-oriented DEA analysis, the Malmquist Productivity Index(MPI) was calculated. Results : First, the mean values of the study variables showed gradual increases in all the variables for all the study years. Second, technical efficiency scores varied depending on the study year. Third, MPI decreased from 2009 to 2010 (MPI=0.986), and then increased from 2010 to 2011(MPI=1.011). The contributions of the Efficiency Change Index and Technical Change Index on the MPI varied depending on the study year. Conclusions : This study provides information to hospital managers about changes in hospital performances. External environments had more influence on hospital performances, and hospital managers will need to manage these influences from factors surrounding the hospitals.

• International Commerce and Information Review
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• v.16 no.4
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• pp.55-75
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• 2014

Non-parametric method such as technology efficiency, DEA/Window model and Malmquist Productivity Index (MPI) are used to measure efficiency and productivity of ICT (Information and Communication Technology) manufacturing industry and service industry over the period 2007-2011. The results of this paper indicate following: (1) Technology efficiency of the ICT manufacturing industry were found as the range of 0.34 and 0.39 over the sample period. Technology efficiency of the ICT service industry were found as the range of 0.16 and 0.20 over the sample period. (2) The geometric average of the Malmquist TFP indexes on ICT manufacturing industry indicated the productivity improvement an average of 8.3 percent. The geometric average of the Malmquist TFP indexes on ICT service industry indicated the productivity improvement an average of 1.6 percent. (3) TIER analysis result on ICT manufacturing industry showed that optimal bench marking made by storage devices${\rightarrow}$wireless communication equipment${\rightarrow}$broadcasting equipment${\rightarrow}$radio, recording and playback devices${\rightarrow}$computers, printers, video and audio-visual equipment path. TIER analysis result on ICT service industry indicated that optimal bench marking made by computers and packaged software${\rightarrow}$wired communication${\rightarrow}$communication, information, detection equipment${\rightarrow}$consulting and construction for computer systems integration${\rightarrow}$industrial machinery and equipment rental${\rightarrow}$telecommunications reseller${\rightarrow}$system software development and delivery${\rightarrow}$hosting path.