• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.813-818
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• 2007

Construction productivity is a key factor for efficiency evaluation of construction work process, project performance measurement, and basic data of work plan in construction industry. However, although construction productivity is important in construction industry, gathering methodology and analyzing methodology of productivity data are not well-organized therefore productivity data is not utilized in the construction industry The purpose of this study is to develop productivity prediction system using data mining technology based on activities and to suggest frameworks about productivity data collection, accumulation.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.492-499
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• 2022

A large number of employees shifted to Work from home (WFH) due to the COVID-19 pandemic, including the construction workforce. The changes in workload and productivity due to WFH impact the work performance and economic outputs of companies. However, there are mixed results about the impacts of WFH on workload and productivity. In particular, limited studies focused on specific types of work of different occupations in the construction workforce. This study aims to explore the impacts of WFH on workload and productivity considering different types of work for the construction workforce in the U.S. After identifying three main occupations and five types of work, an online survey (N = 69) was distributed. Descriptive analysis showed that participants had less workload (0.82 hours/week) and lower productivity (9.69%) during WFH. Three occupations had varied changes due to the different types of work. Analysis of Variance (ANOVA) indicated that there was no significant difference in workload, while productivity was decreased during WFH. In particular, the productivity of project-related work and communication and documentation decreased significantly. Overall, participants finished 2.85% less workload per week during WFH. The findings provide an insight into WFH in the construction workforce, which improves future remote or hybrid work arrangements in the construction industry.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.93-107
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• 2010

Performance of software development is measured by two major criteria - roductivity and quality. Although the criteria is empirically tested in software engineering research, they often present with a limited way under consideration of a few factors or contexts for developers to focus on the either productivity facets or quality facets. Analyzing data on software development performance collected over a 13-year period from 20 countries, we investigated how major software development factors - development type, development platform, development technique, language type, DBMS, methodology, methodology acquisition, CASE,, summary of work effort, resource level, max team size, affect the performance of software development. The results suggest that productivity and quality of software development are affected by different factors and context: function points, line of code, extreme defects, major defects, or minor defects. This research provides the empirical evidence that the two performance criteria require for software developer to have careful attention to find the optimal balance between the two performance criteria.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.235-242
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• 2020

This is descriptive research aimed at identifying the factors for nursing productivity in nurses at a tertiary hospital. The data were collected from a survey conducted in 257 nurses at a single hospital in Seoul from May to June 2020. The collected data were analyzed through t-test, ANOVA, Scheffe test, Pearson's correlation, and multiple regression analysis by using an SPSS 25.0 program. The total score was an average of 25.40±5.49 (range: 6-36) for gratitude disposition, 65.15±9.18 (range: 21-105) for job satisfaction, 87.64±12.05 (range: 23-115) for nursing performance, and 35.68±6.79 (range: 0-45) for nursing productivity. Nursing productivity was positively correlated with gratitude disposition (r=.219, p<.001), job satisfaction (r=.440, p<.001), and nursing performance (r=.494, p<.001). Nursing productivity was affected by gratitude disposition (β=.144), nursing performance (β=.394), and job satisfaction (β=.278). On the basis of these results, it is necessary to develop and apply education programs aimed at promoting work productivity for nursing manpower.

• Journal of Labour Economics
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• v.31 no.3
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• pp.47-74
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• 2008

Following two pioneering works, Medoff and Abraham(QJE 1980; JHR 1981) and Flabbi and Ichino(LE 2001) which use performance rating of personnel data as individual worker's productivity, this study replicates their analysis using a Korean large firm's personnel data(2000, male white collar workers). According to their methods through Mincerian earnings function, and multinomial logit model that links the distribution of wages and performance ratings, we find that seniority wages appeare continuously even if individual worker's productivity is controlled. Therefore we conclude that incentive or deferred compensation theory is more suitable than human capital theory.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.15-43
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• 1997

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.

• Journal of Navigation and Port Research
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• v.34 no.7
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• pp.559-566
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• 2010

The container port industry has been variously studied by many researchers, because the contemporary container transportation and container port industries play a pivotal role in globalization of the world economy. For container terminals, the productivity, affected by many factors, is an important target in measuring container terminal performance. Under this background, finding the critical factors affecting the productivity is necessary. Regression analysis can be used to identify which independent variables are related to the dependent variable, and explore the relationships of them. The aim of paper is to evaluate the factors affecting the productivity of Chinese major terminals by using a regression statistical analysis modeling approach, which is to establish the variable preprocessing model (VPM) and regression analysis model (RAM), by means of collecting the major Chinese container terminals data in the year of 2008.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.34-35
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• 2014

When various construction types of architectural construction are proceeded in order, the reinforced concrete construction is the frame construction which takes up the most important proportion among the construction process. Thus, the analysis of the effectiveness and productivity of the reinforced concrete construction is necessarily needed for smooth performance of construction projects. However, the conventional studies are performing the analysis of the productivity of only part(mould and steel) of the reinforced concrete construction and they have limitation in that they do not propose quantitatively the overall productivity of reinforced concrete construction.

• Journal of Industrial Convergence
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• v.13 no.1
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• pp.75-79
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• 2015

This paper investigates two important relationships relating to firm behaviour and performance using econometric methods. First, the relationship between product market competition and innovation is examined, and then the association between innovation and productivity is separately investigated. Data from the Australian Bureau of Statistics' Business Longitudinal Database are used in the analysis. For every measure of competition considered except one, the results of the modelling are consistent with an anti-Schumpeterian relationship between competition and innovation - that is, firms appear more likely to innovate if they face stronger competition. The results examining the relationship between innovation and productivity, although weaker than those between competition and innovation, suggest that innovation is associated with better productivity outcomes.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09b
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• pp.1278-1279
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• 2006

New product line with additional secondary operation of oil pump rotor was built in necessity of increasing capacity. This new line includes steam treatment process after sizing. The new line achieved 1.6 times higher performance compared with a conventional line.