• 국제학술발표논문집
• /
• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
• /
• pp.58-65
• /
• 2011

Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

• 농업과학연구
• /
• 제32권2호
• /
• pp.151-167
• /
• 2005

In this study, certain factors influencing cherry tomato were estimated using system equations. In addition, the amount of influence to income from each factor was estimated from both direct and indirect effects. Based on OLS(Ordinary Least Squares) estimation, path analysis and factor analysis were employed to overcome multicollinearity problems. Data used in this study is interviewed cross sectional data of 65 cherry tomato producing farm in Chungnam-do area. Average age of the producers is 46.5. Average year of the production is 8 years. Average farm size, productivity, and income are 1,123 pyong, 7,439kg/10a, 8,112,000won/10a, respectively. The business performance of the sample farms were above average, in terms of the diagnosis by "Standard Business Diagnosis for Cherry tomato". To identify the factors influencing productivity, 15, 19, and 25 independent variables were selected for the dependent variables of yield, price(quality), and business cost, respectively. Finally, yield, quality, and business cost variables were set as independent variables to explain income as dependent variable. As a result of main factor analysis, 10, 12, 15, and 16 factors were identified as main factors for yield, quality, business cost, and income, respectively.

• Journal of Construction Engineering and Project Management
• /
• 제7권3호
• /
• pp.39-55
• /
• 2017

Preeminent performance of construction industry are unattainable with poor productivity resulting in time and cost over runs. Enhancement in productivity cannot be achieved without identifying and analyzing factors that adversely affect productivity. The objective therefore is to propose a productivity analysis model to quantify the probability of effect of factors influencing productivity by using fuzzy logic incorporated with relative importance index method, for various types of construction projects. To achieve this objective, a questionnaire survey was carried out targeting respondents of Indian construction industry, from four distinct projects, namely, residential, commercial, infrastructure and industrial projects. Based on questionnaire administered, the relative importance and ranks of factors demonstrated using relative importance index method. Probability assessment model to analyze productivity was then developed by using Fuzzy Logic Toolbox of MATLAB. The applicability of the proposed model was tested in seven construction projects and the probability of impact of factors on productivity evaluated. The results of application of model in the construction firms infers that the most contributing factor groups for most of the projects were discerned to be manpower, motivation and time group.

• 한국품질경영학회:학술대회논문집
• /
• 한국품질경영학회 2010년도 춘계학술대회
• /
• pp.62-66
• /
• 2010

Company which produce the latest plastic products of survival dimension for competitive power security productivity elevation activity hard do. But enterprises is lacking value elevation activity that customer among product special quality is thinking heftily and isn't grasping well adjusted impact factors. So, addition quality failure cost is produced. In this research, investigated impact factor and factors influencing most heftily in quality for productivity elevation. As a result, present example that serve to control well importance benevolence.

• 지식경영연구
• /
• 제17권1호
• /
• pp.49-72
• /
• 2016

Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

• 자원ㆍ환경경제연구
• /
• 제23권4호
• /
• pp.667-688
• /
• 2014

본 연구는 우리나라의 지역별 $CO_2$ 배출량과 지역별 GRDP데이터를 사용하여 EKC(Environment Kuznets Curve)를 검증하였다. 이 분석을 위해서 1990년부터 2010년 기간 동안 우리나라의 15개 광역지방자치단체를 대상으로 한 패널데이터를 구축하였다. 지역별 $CO_2$ 배출량에 영향을 미치는 요인으로는 일인당 GRDP, 인구, 총요소생산성 등을 고려하였다. 그리고 이러한 요인들이 $CO_2$ 배출량에 영향을 미치는데 있어서 역 U자형 가설이 성립하는지를 검증하였다. 본 연구에 사용한 분석 방법은 Lantz and Feng(2006)에서와 마찬가지로 패널 GLS 모델을 사용하였다. 분석결과에 의하면 우리나라의 경우 EKC 가설이 성립하지 않았지만 총요소생산성의 경우에는 $CO_2$ 배출량과 역 U자형 관계가 성립하였다. 본 연구의 의의는 특히 기술 진보를 대변하는 총요소생산성이 증가할수록 $CO_2$ 배출량이 증가하지만 일정수준 이후에는 $CO_2$ 배출량이 감소한다는 것이다.

• 품질경영학회지
• /
• 제30권4호
• /
• pp.154-163
• /
• 2002

This study tries to analyze how TPM works in domestic manufacturing industry by estimating two-stage model. First stage tests the effects of five TPM-factor variables (TFV : (1) Small group activity & Autonomous maintenance, (2) Education & Training, (3) Planned maintenance, (4) improving effectiveness of each piece of facility (5) Safety & Environment) to two TPM-performance variables. Second stage tests how two TPVs affect the industry's productivity level. By combining these two stages, this study uses a model to explain how TPM, represented by TFVs, works to improve productivity via TPVs. Multivariate and univariate regression and correlation analyses were peformed. It is shown that five TFVs works in two different ways to improve the industry's productivity level. In the second stage, overall equipment effectiveness has relatively more significant effects to the productivity level.

• 한국건설관리학회논문집
• /
• 제9권4호
• /
• pp.92-100
• /
• 2008

최근 의사결정권자가 유사프로젝트 추진 시 발생하는 의사결정과정 상에서 신뢰성 있는 자료에 근거하여 의사결정을 할 수 있는 생산성 예측시스템 구축에 대한 연구가 진행 중에 있으나, 생산성 예측시스템에서 독립변수로 작용하는 생산성 영향요인에 대한 연구는 대부분이 생산성 분석을 위한 생산성 영향요인으로 생산성 예측에 대한고려 없이 생산성 영향요인을 분류하고 있다. 또한 예측에 대한 고려 없이 도출된 생산성 영향요인을 이용하여 생산성을 예측하면, 유의하지 못한 생산성 영향요인이 예측 모델의 독립변수로 사용되어 생산성 예측 값의 신뢰도와 적합성이 낮아지는 결과를 갖게 된다. 따라서 본 연구에서는 생산성 값에 영향을 미치는 주된 인자인 생산성 영향요인에 대한 상관분석을 이용한 생산성 예측을 위한 생산성 영향요인 선정 프로세스를 제안하였고, 제안된 프로세스는 영향요인 선정 과정을 체계적으로 정리하여 생산성예측을 위한 생산성 영향요인 선정에 효율적인 방법으로 사용할 수 있을 것으로 기대된다.

• Journal of Preventive Medicine and Public Health
• /
• 제24권3호
• /
• pp.400-413
• /
• 1991

The purpose of this paper is to identify factors affecting the optimum mix of required inputs and other relevant factors which account for the variation in physician's productivity in general hospitals, and to find out their implications for the efficient health planning and management. An extended version of Cobb-Douglas production function and cross sectional data of one day patient census from all general hospitals in Korea in 1988 were used in the analysis. Main results of the analysis and their implications could be summarized as follows : (1) The production function for physician's inpatient service shows the evidence of economies of scale, but the production function for physician's outpatient and adjusted-patient service, which combines both out- and in-patient service, shows that of dis-economies of scale. (2) The physician's role for production for all service is smaller than auxiliary personnel's, which imply that more intensive utilization of nurses, nursing aides and other auxiliary personnel is desirable for improving general hospital productivity (3) In case of physician's inpatient and adjusted-patient service, nurses' role is greater than nursing aides'. Therefore, more extensive utilization of nurses is recommended for the efficient operation of general hospitals. (4) The factor of hospital beds plays the leading role among required inputs in the production for physician's in- and adjusted-patient service. (5) The physician's productivity of general hospitals in rural area is lower than that in urban area. And the productivity of teaching hospitals is lower than that of the other hospitals. Further analysis was made in physician production function based upon the size of hospitals, namely those hospitals below 250 beds and those above. Explained variances by the factor of hospital beds was significantly increased in the case of those hospitals above 250. A more detailed and thorough investigation is needed for verifying factors influencing physician's productivity in general hospitals in Korea.

• 한국콘텐츠학회논문지
• /
• 제18권11호
• /
• pp.571-580
• /
• 2018

이 연구는 기업 및 사업체 인사담당자의 경험적 사실에 주목하여 60세 이상 고령근로자의 생산성을 평가하고 고령근로자의 생산성 향상에 직 간접적인 영향을 미치는 요인을 분석하는데 목적을 두었다. 분석 결과, 고령근로자의 생산성 평가에 긍정적인 영향을 미치는 요인은 업무에 대한 태도, 전문성으로 나타났다. 노화에 따른 신체적 역량 저하는 고령근로자의 생산성 평가에 부정적인 영향을 미치는 핵심 요인으로 인식하고 있었으며, 신체적 역량을 고려한 업무재배치 및 직무재설계, 안전교육, 근로자간의 공감대 형성이 고령근로자의 업무성과를 향상시키는데 긍정적인 요인으로 작용하고 있는 것으로 나타났다. 이러한 연구결과는 고령근로자의 축적된 경력 및 전문성을 효율적으로 활용할 수 있는 업무배치와 신체적 역량을 보완할 수 있는 근무환경 조성이 생산성 향상 측면에서 매우 중요한 요소임을 시사한다.