Investigation and identification of factors affecting migrating peasant workers’ usage of safety footwear in the Chinese construction industry

2017 ◽  
Vol 23 (3) ◽  
pp. 424-430 ◽  
Author(s):  
Qinghui Suo ◽  
Daming Zhang
Keyword(s):  
Construction Industry ◽  
Factors Affecting ◽  
Peasant Workers

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.  

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.

A hybrid framework to model factors affecting construction labour productivity

2019 ◽  
Vol 24 (3) ◽  
pp. 630-654 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar
Keyword(s):  
Construction Industry ◽  
Labour Productivity ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Delay ◽  
Factors Influencing ◽  
Hybrid Framework ◽  
Novel Method ◽  
The Cost ◽  
The Impact

Purpose This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it. Design/methodology/approach Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry. Findings The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented. Originality/value The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

scholarly journals Analysing Enabling Factors Affecting the On-site Productivity in Indian Construction Industry

2018 ◽  
Vol 49 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Saurav Dixit
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Reliability Analysis ◽  
Construction Industry ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Research Paper ◽  
Site Productivity ◽  
Factors Affecting ◽  
Construction Productivity

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to analyse the factors affecting on-site construction productivity in Indian construction industry. The tools used for the analysis are reliability analysis to check the consistency of the data, Pearson correlation analysis to mathematically validate the factor analysis, and linear regression analysis to propose a framework of factors affecting construction productivity. The findings of the reliability analysis concludes that the all the factors having a value of more than 0.67, which is considered to be good for the study, and the findings of the study conclude that the most significant 3 attributes grouped in linear regression analysis change in scope (R2), revision in drawings (R15), and response to change orders (R3) having maximum impact over the construction productivity. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Critical Analysis of Factors Affecting the on-site Productivity in Indian Construction Industry, (July), 38–45. https://doi.org/10.3311/CCC2018-006"

scholarly journals Elaborating factors affecting visual control in a big room

2019 ◽  
Vol 19 (1) ◽  
pp. 34-47
Author(s):  
Jukka Majava ◽  
Harri Haapasalo ◽  
Kirsi Aaltonen
Keyword(s):  
Project Management ◽  
Construction Industry ◽  
Single Case ◽  
Management Strategies ◽  
Holistic Approach ◽  
Visual Control ◽  
Future Research ◽  
Content Type ◽  
Factors Affecting ◽  
And Control

Purpose The “big room” concept and lean philosophy have become increasingly popular in the construction industry. Visual control is a central part of lean philosophy and the big room concept; its aim is to improve information flow, joint problem-solving and real-time decision-making. Visual control facilitates effective project management by providing information on what work is performed and why, customer requirements, deadlines, work status and potential problems. This study aims to explore how visualisation supports project management and control in a big room and the factors that facilitate good visual control. Design/methodology/approach This research is based on the case study method, and the objective is to elaborate the current understanding of factors that affect visual control. The study includes a literature review and an empirical study of a large construction project. Findings The results indicate that many factors facilitate visual control. Despite the importance of facilities and tools, communication and teamwork are identified as the key factors. On a broader level, the results indicate a need for a holistic approach in developing visual management strategies and practices in the construction industry and in complex projects in particular. Research limitations/implications A single case may not be able to offer a generalised picture of this complex topic. However, the study provides novel insights for practitioners and researchers interested in the development of visual control and big rooms. Future research topics are also proposed. Originality/value While previous studies have identified many elements of successful big room implementation – including integration and early involvement, information sharing, tools and facilities – this study focusses specifically on the factors that facilitate visual control.

Empirical Study on Factors Influencing the Development of Construction Industry - Based on Anhui Construction

2012 ◽  
Vol 193-194 ◽  
pp. 1300-1306 ◽  
Author(s):  
Shi Dong Yang
Keyword(s):  
Real Estate ◽  
Granger Causality ◽  
Construction Industry ◽  
Impulse Response Function ◽  
External Factors ◽  
Added Value ◽  
Linear Regression Method ◽  
Real Estate Industry ◽  
Causality Test ◽  
Factors Affecting

The paper, on the basis of the statistical data from 1980 to 2009 in Anhui province, uses linear regression method, Johansen test, Granger causality test and impulse response function to analyze the internal and external factors affecting the development of construction in Anhui. The results show as follows: the development of Anhui construction industry is characterized with the extensive economic growth pattern; the long-term equilibrium relationship is identified between the added value of the construction industry and its external factors; GDP and the added value of the real estate industry are the Granger causality of the economic development in construction; Real estate industry has made more contributions to driving the development of construction industry than that of GDP. In addition, this thesis gives some suggestions on the development of Anhui construction industry.

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