• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.422-426
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• 2006

Productivity is one of the very important index that measures efficiency of production activities in industry, enterprises and the building industry as well. None the less, the concept of construction productivity is not so clear that productivity management in the building industry have been performed by experience or intuition, productivity related data have not been analyzed through effective productivity management, because structured definition and classification of factors influencing construction productivity did not exist so that it has not been known what information explain each of them. In order to solve this problem, at first construction productivity and factors influencing construction productivity are defined and classified into three groups; (1)Project factors influencing construction productivity (2)Management factors influencing construction productivity (3)Activity factors influencing construction productivity. To find out relation between construction productivity and factors influencing construction productivity, a questionnaire survey for construction managers in the building industry has been conducted.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.141-142
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• 2012

Estimating the productivity of labor has relied on the experience and intuition of an estimator, or productivity data, such as standard in practical estimation. However, when new technologies and new construction methods employed in the construction industry, Dependence of a quantity surveyor's intuition is increased. This is because of the lack of a systematic methodology which models, estimates, and measures the labor productivity, Due to the historical productivity data is unavailable. Even thought project history data contains information that is important to predict the performance of a project, It can not provide valuable information to model, estimate, and measure the labor productivity. This is because 1) the absence of the productivity measurement system with consistency, 2) the difficulty of reusability of historical data collected. Therefor, this study suggests a methodology which build a productivity model by measuring the productivity of labor and collecting the historical data systematically. In addition, this methology is applied to develop a productivity model of shop-drawing and manufacturing process using descrete event simulation.

• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.189-206
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• 2020

Purpose - The purpose of this study is to clarify the mediating effect of profitability and activity in the relationship between productivity and stock return, assuming that the productivity of the company will affect share prices with the parameters of profitability and activity. Design/methodology/approach - The study extracted productivity indicators, profitability indicators, activity indicators, and share price-related indicators from 1999 to 2018 of non-financial enterprises listed on the securities market, and then classified them into three factors: productivity (labor productivity LP, capital productivity CP), activity (TT), and profitability (net profit rate NI, operating profit ratio OI) through the factor analysis method, and analyzed the impact of each factor on the stock return through steps 1 to 3. Findings - The regression analysis shows that productivity has a significant positive effect on the stock return through the full mediating effect of profitability and activity. Research implications or Originality - In a situation where the relationship between productivity and profitability is not clear, this study is meaningful in that it has empirically analyzed that productivity has a positive effect on the stock return by mediating effects of profitability and activity.

• STI Policy Review
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• v.6 no.2
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• pp.1-23
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• 2015

This study aims to contribute to the debate over the age-productivity relationships in scientific and technological research. For this purpose, we conducted an empirical experiment employing a time-series cross-section dataset derived from the KRI of the NRF containing data on individual researchers of fifty major universities in Korea covering the period of 2008-2013. This study has found that: (1) there exists an inverse U-shaped age-productivity relationship at the level of individual researchers; (2) the impact of the average age of a research group on the productivity of individual researchers varies across fields; (3) male and female researchers move along different age-productivity curves; and (4) the inverse U-shaped age-productivity relationship also holds at the level of organizations. The results suggest that the aging of researchers in Korea will soon reach the stage where serious losses in research productivity become a reality. Yet, it is not so clear whether the observed decline in the performance of older researchers is due to declining cognitive capability, which is an unavoidable result of aging, or to declining motivation, which results from an institutional system that discourages older researchers' research activities (such as reduced access to research opportunities or mandatory retirement). What is clear is that it is inevitable for the Korean science system to change the current seniority- and age-based organizational system into one of higher adaptability.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.427-432
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• 2004

As it is keen competition of a construction market and the recognition that increases construction productivity for maintaining competitiveness, it is increased importance of an interest about productivity and efficiency in the construction industry. This study measures productivity through the instance of investigation that the existing productivity measurement method was utilized and presented a work improvement matter based on the measured contents. The proposed improvement matter is verified through a simulation technique. The purpose of this paper is for a field supervisor to have presented the way that a selection does the most suitable work method to be suitable for a situation, and can forecast production, though a simulation technique is not the most alternative that considered field condition in analyzing productivity measurement.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.185-198
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• 2020

Purpose - The purpose of this study is to examine the effect of performance-related pay on gender labor productivity differences theoretically and empirically. Design/methodology/approach - This study analyzes the Principal-Agent model in which a firm employes many male and female workers under moral hazard, and uses large survey data from Survey of Business Activities of MDIS (MicroData Integrated Service) in Korea. The fixed-effect model is employed in order to analyze the data. Findings - The theoretical result is that, after performance-related pay is offered to workers, the effect of performance-related pay on gender productivity is determined by whether the female ratio within firm affects firm's performance(such as revenue and profit) per capita. The empirical result is that, before performance-related pay is provided for all workers, the firm's female ratio does not affect firm's revenue and profit per capita at all, but after it is offered, the female ratio positively affects firm's performance per capita. Research implications or Originality - Fixed pay does not bring about the difference between male and female productivity, but performance-related pay affects female productivity more positively than male productivity in Korean firms. It means that female workers are more sensitive to incentives than men in Korea.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.41-55
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• 2005

In this research, we've studied to the software productivity and quality measures and metrics for raise UP the advanced software industry. For the purpose, we've studied relative research and reorganized 74 metrics. Reorganized 74 metrics were developed considering scalability, measurement and acquisition possibility and verified by software development experts. Finally, we've conducted a survey on the high measurement possibility metrics. Data were gathered from 20 software development project. It was found from the result need more efforts for the software development productivity improvement for advanced software industry.

• Journal of Information Technology Services
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• v.5 no.1
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• pp.1-16
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• 2006

This paper analyzes the technical efficiencies of 40 Korean system integration firms using data envelopment analysis (DEA) and Malmquist productivity indices. Technical efficiencies on average had been decreased over the five year period and the efficiency difference between best practice firms and catch-up firms had been increased during this period, meaning that the industry structure has become matured and the possibilities for catch-up firms to be efficient are not remained so much. The differences in efficiency by the differences in ownership structures are statistically significant. It implies that the efficiencies of group-affiliated firms have come from benefits such as the captive market umbrellas, not from their own management competencies. In addition, the technical efficiency is highly correlated with captive market sales, information productivity, sales per employees, rates of value added, returns on invested capital, and EBITDA.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.99-103
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• 2017

Productivity improvement is one of the important goals which firms' technology developments aim at. Firms' improved productivity from technology development means that their inputs can produce more outputs through technology development, which makes firms' productivity improvement from technology development more and more important in the age of technology advance and convergence like today. This research empirically analyzes the influence of the external technology collaboration network diversity on the productivity improvement of the small and medium-sized enterprises (SMEs) from technology development and the moderating effect of the chief technology officer (CTO)-driven technology development on this influence. This study constructs the research model reflecting the moderating impact of the CTO-driven technology development and tests it with the ordinary least squares regression through the IBM SPSS version 23 by using the 2,000 data about South Korean SMEs. This research empirically reveals two points. One is that SMEs' external technology collaboration network diversity has a positive influence on their productivity improvement from technology development. The other is that the positive effect of SMEs' external technology collaboration network diversity on their productivity improvement from technology development is moderated by the CTO-driven technology development. The two points revealed in this study present two meaningful implications in not only the practical but also academic point of view. The practical implication is that it is effective for SMEs to use CTOs in increasing their productivity improvement from technology development. The academic implication is that making technology collaboration with more diverse external partners can increase SMEs' productivity improvement from technology development.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.75-114
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• 2010

This paper examines empirically whether information and communication technology(ICT) has improved total factor productivity at industry level in Korea, considering time lag between ICT capital accumulation and improvement of productivity. To evaluate if ICT is pervasive enough to raise productivity, ICT capital stock of Korea is compared with those of advanced economies. From the perspective of aggregate economy, the ICT capital in Korea has increased fast since the mid-1990s and became comparable with advanced economies. However it is mostly attributed to rapid growth of ICT-producing industries. In other industries, ICT capital are still less accumulated than advanced economies. Growth accounting results exhibit that the productivity has risen faster since 2000 in industries using ICT intensively, but looking into specific industries, it is not likely for ICT to be the main factor of productivity improvement except in business service industry. Regression results provide some evidence that ICT is useful in raising productivity only after considerable amount of time allowed. To fully exploit the positive effect of ICT on productivity, it may be necessary for the Korean economy to create institutional environment facilitating complementary innovations as well as ICT captial accumulation.