• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.968-973
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• 2005

The purpose of this study is to clarify the reality of labor and capital productivity in the construction industry through an industry-level approach and to analyze the relationship between labor and capital productivity using a Cobb-Douglas production function. According to the research results, the construction industry has shown a very high capital productivity, while labor productivity has kept up a low level during the 1980s and 1990s. The reason was because of the lack of skillful construction workers and the decrease of capital. Meanwhile, the construction productivity has greatly increased since 2000 when there was no change in wages. This was because of a large inflow of low-wage foreign workers while the amount of value added has dramatically increased due to the liberalized sale price of apartment buildings. According to the analysis by the Cobb-Douglas production function, the elasticity coefficient of V/L to K/L in the construction industry had decreased from 1.1663 in the 1^st period(1971-1988) to 0.4465 in the 2^nd period(1989-1997), and to 0.1664 in the 3^rd period(1998-2003). Such a result means that the allocation of labor has gradually increased while the allocation of capital has decreased. Moreover there was a big increase in allocation of labor after 1998 due to the excessive deterioration of capital. In conclusion, in order to raise the construction productivity and to avoid labor-intensive production methods, investment for capital should be more increased. In particular, new machinery and equipment that can actually substitute human labor in construction sites should be more developed and applied to construction sites.

• 산업공학
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• 제7권2호
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• pp.133-144
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• 1994

The problem of productivity improvement is one of the most challenging problems facing the world economy. This paper studies an analysis of improving personal-computer(PC) company productivity through factory automation. It attempts to analyze value added productivity at the company level. The index measured will effectively help managers supervise their companys. This study justifies that the proposed approach will stimulate manager's profit-motivation by providing them with value-oriented management instead of quantity-oriented method.

• East Asian Economic Review
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• 제24권3호
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• pp.237-252
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• 2020

This paper characterizes the optimal reciprocal trade policy in the environment of Melitz (2003) with firm productivity heterogeneity. In particular, without making parametric assumptions on firm productivity distribution, this paper derives the optimal degree of reciprocal tariff reductions that maximize the world welfare. A reciprocal import subsidy raises the industry productivity, lowering aggregate price; a reciprocal import tariff helps correct the markup distortion, increasing nominal income. With all the conflicting effects of import tariffs on welfare considered, the optimal degree of reciprocity in multilateral tariff reduction is shown to be free trade.

• 산업융합연구
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• 제13권1호
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• pp.11-23
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• 2015

Organizations use multiple team membership to enhance individual and team productivity and learning, but this structure creates competing pressures on attention and information, which make in difficult to increase both productivity and learning. My model describes how the number and variety of multiple team memberships drive different mechanisms, yielding distinct effects.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 추계 학술논문 발표대회
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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.

• 아태비즈니스연구
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• 제11권2호
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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.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.553-558
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• 2003

건설 프로젝트에서 단위작업별로 발생하는 노무자의 작업정보와 실적물량 정보는 다양한 건설정보로서 가공될 수 있고 해당 프로젝트의 성과측정 및 경영분석을 위한 근거자료로 활용될 수 있다. 따라서 본 연구에서는 PDA 및 바코드 기술을 활용하여 단위작업 중심의 노무자 작업정보 및 실적물량 정보를 수집하는 방법론을 제시하고 이를 가공하여 노무, 생산성, 공정관리에 활용할 수 있는 건설 프로젝트 정보관리 시스템을 구현하였다. 본 연구에서 제시한 시스템은 건설 프로젝트의 정보관리에 있어 중요한 실적자료로서 해당 프로젝트의 성과 측정 및 향후 유사 프로젝트의 공사계획에 유용한 정보로 활용할 수 있을 것으로 기대된다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.296-297
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• 2018

Due to the decrease in infrastructure investment and stagnation of overseas construction, it is concerned the instability of the construction market. Enhancing the Korean construction competitiveness, productivity improvement could be the breakthrough. In addition, defining construction contents utilizing virtual reality technology is drawing attention along with the trend of the fourth industrial revolution technology development toward the labor productivity improvement. This study conducted a survey to figure out the present state of the productivity management in field and comprehend the factors influence on construction productivity for further Korean construction productivity data platform.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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• pp.200-201
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• 2015

As manpower shortage of national construction site is continuing, a manpower of foreign laborers are steadily increasing. The construction industry impacts the purpose for productivity of laborers as labor-intensive industry against different industry. Therefore, there is a need of analysis of foreign laborer's productivity. This study analyzes to use foreign labor's psychological productivity factors as a basic standard by comparing to Korean's. Construction foreign laborers seem to put bigger priority on "accomplishment of task," and "job satisfaction," than Korean workers, according to the response results in Likert 5-point Scale Measurement with 11 kinds of psychological causes in theories regarding productivity factors. Thus, this study expects to use as baseline data for productivity management of construction foreign laborers.

• Industrial Engineering and Management Systems
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• 제11권3호
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• pp.224-232
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• 2012

The paper proposes a non-parametric methodology, data envelopment analysis, for measuring efficiency and productivity in service delivery systems with capacity constraints. The methodology provides allocation approaches for studying behaviors of firm and customers in service delivery strategy. The experimental study is carried out to investigate allocation behaviors and conduct an objective tradeoff between efficiency approach and productivity approach. The experimental result indicates that the efficiency approach allocates resource via maximizing customer efficiency rather than firm productivity as in the productivity approach. Moreover, the experiment reveals that there exists an objective tradeoff between the efficiency approach and the productivity approach. These findings provide strategic options for allocation policy in service delivery systems.