scholarly journals Factors Affecting Labor Productivity in the Construction Industry

2020 ◽  
Vol 4 (2) ◽  
pp. 24
Author(s):  
Rabia Almamlook ◽  
Mohamed Bzizi ◽  
Maha Al-Kbisbeh ◽  
Tgarid Ali ◽  
Ekbal Almajiri
Keyword(s):  
Construction Industry ◽  
Labor Productivity ◽  
Factors Affecting

scholarly journals How Can Information Technology Use Improve Construction Labor Productivity? An Empirical Analysis from China

2021 ◽  
Vol 13 (10) ◽  
pp. 5401
Author(s):  
Hao Lu ◽  
Qin Zhang ◽  
Qinghong Cui ◽  
Yuanyuan Luo ◽  
Pardis Pishdad-Bozorgi ◽  
...  
Keyword(s):  
Information Technology ◽  
Construction Industry ◽  
Labor Productivity ◽  
Technology Use ◽  
Key Factors ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
International Industry ◽  
Global Construction ◽  
Statistical Yearbook

Labor productivity is a significant indicator to measure the sustainable development potential and competitiveness of the construction industry. Under the background of the integration of global construction industry and information and communication technology (ICT), the pursuit of the growth of construction labor productivity (CLP) requires deepened understanding of how these technological advancements characterized by ICT take effect in the change of CLP as well as what the key factors are that led to the variation of CLP at this stage. The paper aims to investigate the effect of ICT progress on CLP and examine the key factors influencing CPL. Based on the data of 31 regions from the China Construction Industry Statistical Yearbook and the Local Statistical Yearbook during the period 2000–2018, this study proposed new methodology (Cobb–Douglas production function, growth rate model, and Malmquist Data Envelopment Analysis) for measuring the technology progress contribution and identified the key factors affecting the change of CLP. The analysis results illustrate that the information technology progress has a significant contribution to CLP growth, but the contribution rate is decreasing with the growing degree of development of the regional construction industry. Three main factors affecting the further improvement of CLP have been identified: human resources, research and development (R&D) investment, and ICT level. The findings can provide the decision-making reference and the general methodology for the local and international industry practitioners to improve the labor productivity performance of the construction sector.

scholarly journals Factors Affecting Construction Labor Productivity in China: A Case Study of Chongqing

2016 ◽  
Author(s):  
Shilian Zhang ◽  
Yuxuan Wang ◽  
Yuhe Wang ◽  
Wenjun Fan
Keyword(s):  
Construction Industry ◽  
Labor Productivity ◽  
Rapid Development ◽  
Principal Component ◽  
Positive Influence ◽  
Affecting Factors ◽  
Important Indicator ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Productivity Data

Labor productivity is an important indicator of Chinese construction industry development, so it has a positive influence on study the factors affecting construction labor productivity for the sustainable development in construction industry. Since Chongqing became one of Chinese municipality in 1997, construction industry had a rapid development. But the construction labor productivity in Chongqing is still low. Thus, this paper selects construction labor productivity data in Chongqing as the research object, and indicates labor productivity is affected by eight specific factors from economy, technology, capital, labor and management aspects. Based on the data, this paper uses principal component analysis (PCA) method and multiple linear regression (MLR) to analyze the relationship between labor productivity and affecting factors. The result reveals labor productivity in Chongqing is affected by the average wage in construction industry, GDP and construction and installation engineering investment. Meanwhile, a low labor productivity in Chongqing dues to a lack of technological innovation.

Inhibiting Factors of Cost Performance in UAE Construction Projects

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Ahmed Salem Ahmed Marey Alhammadi ◽  
◽  
Aftab Hameed Memon ◽  
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Past Research ◽  
Cost Overrun ◽  
Index Method ◽  
Cost Performance ◽  
Factors Affecting ◽  
Inhibiting Factors ◽  
Critical Problems ◽  
Structured Questionnaire

UAE construction industry frequently faces poor cost performance which commonly known as cost overrun problem. This problem is resulted from several factors and it is important to identify these cost overrun factors in order to avoid and minimize it. Hence, this paper focused on determined the relevancy of factors affecting cost performance in construction projects of UAE. Through a review of past research works conducted globally, 27 factors of cost overrun were listed and used for developing a structured questionnaire. A survey was conducted with 33 practitioners from client, consultant and contractors organizations involved in handling construction projects in UAE. The respondents were requested to state their perception regarding the relevancy of each of the factors that was perceived in context with cost overrun issue using 5-points Likert scale. The responses were analysed using average index method and the results found that all the 27 factors are relevant with construction industry of UAE in causing cost overrun. These factors can be used for further investigation to uncover critical problems of cost overrun.

scholarly journals Application of Quality Assessment System in Sudanese Construction Industry

2021 ◽  
Vol 9 (3) ◽  
pp. 52-57
Author(s):  
Yasir Mohamed Hassan Amin ◽  
Mohamed Abdulla Nugdalla Ahmedi
Keyword(s):  
Literature Review ◽  
Quality Assessment ◽  
Construction Industry ◽  
Construction Projects ◽  
Assessment System ◽  
Construction Process ◽  
Standard Score ◽  
Factors Affecting ◽  
Assessment Systems ◽  
Main Factors

Quality management is considered one of the most important obstacles facing the construction industry in Sudan. The application of a quality assessment system contributes to the development of quality in projects as it is possible to measure the quality in projects. This paper aims to introduce one of the quality assessment systems, which is the system followed and applied in the Singapore (CONQUAS). This system assesses quality based on structural, architectural, mechanical and electrical work. The paper also aims to study the factors affecting the application of the quality assessment system in Sudan. The study is carried out in the region of Khartoum. The study is focusing on the construction projects. The study is carried out by questionnaires and other literature review. The respondents are consultants and contractors. The data has been distributed and analyzed by using the Average Index. From the study it was found that CONQUAS standard is assessed the building based on workmanship standards by the assessors from the BCA on site using standard score sheets. The assessment is done throughout the construction process for structural, mechanical and electrical works, and from questionnaire results the main factors affect construction industry in Sudan is lack of standardization in Sudan. The author recommended that more study shall be conducted to identify factors affecting quality in Sudanese construction industry and how to improve the quality.  

scholarly journals Analysis of the Factors Affecting the Competitiveness of ASEAN-5 Countries

2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Tarwo Kusnarno ◽  
Eddy Suratman
Keyword(s):  
Exchange Rates ◽  
Labor Productivity ◽  
Series Data ◽  
Analysis Model ◽  
Factors Affecting ◽  
Times Series ◽  
Insignificant Effect ◽  
Net Exports ◽  
The Times ◽  
Net Export

This study analyzes the factors that affect the competitiveness of ASEAN-5 countries in terms of Labor Productivity, Net Exports, Investment, Inflation and Exchange Rates in two periods, namely the ASEAN internal crisis and the global crisis using the times series data from 1997-2017, then analyzed with the regression analysis model. The results showed that the labor productivity of the 1997-2008 period had a positive and significant effect on the competitiveness of ASEAN-5, as well as the period of 2008-2019, labor productivity had a positive and significant effect on the competitiveness of ASEAN-5. The net export period of 1997-2008 had a negative and not significant effect on the competitiveness of ASEAN-5, as well as the period of 2008-2017, the net export had a negative and not significant effect on the competitiveness of ASEAN-5. The investment period of 1997-2008 has a negative and not significant effect on the competitiveness of ASEAN-5, while the period 2008-2017 has a positive and not significant effect on the competitiveness of ASEAN-5. Inflation in the 1997-2017 period had a negative and insignificant effect on the competitiveness of ASEAN-5, as well as the 2008-2017 inflation period had a negative and not significant effect on the competitiveness of ASEAN-5. Exchange rates for the period 1997-2008 have a negative and insignificant influence on the competitiveness of ASEAN-5, as well as the 2008-2017 period, which has a negative and insignificant effect on the competitiveness of ASEAN-5.

Evaluation of innovative development of housing construction in the partition of federal districts

2021 ◽  
pp. 199-223
Author(s):  
Ekaterina Litvinenko
Keyword(s):  
Construction Industry ◽  
Housing Construction ◽  
Purchasing Power ◽  
Innovative Development ◽  
Factors Affecting ◽  
Depth Analysis ◽  
Federal Districts ◽  
The Russian Federation ◽  
Innovative Potential ◽  
North Western

The aim of the study is to assess the innovative potential of housing construction through determining the purchasing power of citizens acquiring housing in the property. In terms of hypothesis the study offers the term of acquiring housing in property as a criterion for this assessment. This indicator displays the change in the purchasing power of citizens under the influence of various externalities. The analysis of this indicator allows us to determine the influence of these factors on the change in the purchasing power of population, to identify the reserves that contribute to its increase, and to identify the policies aimed at innovative development of construction industry. The article assesses the innovative development of housing through an in-depth analysis of factors affecting the change in the term of housing acquisition in the Russian Federation at large, as well as in the context of individual subjects of the Central and North-Western Federal Districts of Russia in the period from 2017 to 2018.

Building information modelling (BIM) and the return on investment: a systematic analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Apeesada Sompolgrunk ◽  
Saeed Banihashemi ◽  
Saeed Reza Mohandes
Keyword(s):  
Construction Industry ◽  
Return On Investment ◽  
Research Work ◽  
Value Drivers ◽  
Productivity Improvement ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Building Information

Purpose The purpose of this study is to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with building information modelling (BIM) return on investment (ROI). The findings of this study provide researchers and practitioners with up-to-date information in formulating appropriate strategies to quantify the monetary value of BIM. The suggested research agenda provided would also advance what is presently a limited body of knowledge relating to the evaluation of BIM ROI. Design/methodology/approach To fill the identified gap, this study develops a comprehensive systematic review of mainstream studies on factors affecting BIM ROI published from 2000 to 2020. A total of 23 academic records from different sources such as journals, conference proceedings, dissertation and PhD theses were identified and thoroughly reviewed. Findings The reported BIM ROI ranged greatly from −83.3% to 39,900%. A total of 5 returning factors, namely, schedule reduction and compliance, productivity improvement, request for information reduction, rework reduction and change orders reduction were identified as the most commonly reported factors that influence BIM ROI. Four quantification techniques including general assumptions-based theoretical model, perceived BIM ROI based on survey, factors affecting BIM ROI with no reported ROI and quantified BIM ROI based on a case study were observed and pointed out in the review, together with their limitations. Finally, three major gaps were raised as the lack of consideration on the likelihood of BIM assisting in a construction project, intangible returning factors influencing BIM-based projects and industry standards in benchmarking BIM ROI. Practical implications The outcomes of this study would assist practitioners by providing the current evaluation techniques that address the limitations with BIM investment and present issues relating to the economic evaluation of BIM in the construction industry. It is also expected that presenting a deeper and wider perspective of the research work performed until now will direct a more focussed approach on productivity improvement efforts in the construction industry. Originality/value This study identifies and analyses the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI on an industry scale rather than a particular organisation or a project scale.

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