scholarly journals Labour productivity: Perception of site managers on building projects

Author(s):  
O.J Oladiran ◽  
D. Onatayo

A successful construction project has many important components, one of which is labour. Many construction projects fail to achieve their goal due to poor labour productivity. Thus, this research evaluated labour productivity on building projects based on the perception of site managers. The objectives identified the factors that affect the productivity of construction operatives, examined the importance of factors affecting labour productivity, assessed the management policies to improve productivity of workers on site, and suggested solutions to the problem of labour productivity on building sites. The sample frame consisted of the 26 construction organizations registered with Lagos Chamber of Commerce and Industry (L.C.C.I). Random sampling technique was used to administer 62 questionnaires to site managers of the building projects of the 26 construction organizations in the frame. Data obtained were analysed using frequency, mean and relative importance index. The findings showed that topmost among the factors that affect labour productivity are clarity of technical specification, equipment shortages, skill of labour, coordination level among design disciplines, payment delay, and material shortage with mean values of 4.24, 4.20, 4.20, 4.17 and 4.17 respectively. Training, welfare amenities and specialization with mean values of 4.36, 4.02 and 4.00 ranked highest among the management policies for improving operatives’ productivity. It is recommended that operatives should have access to equipment; payment should also be done promptly; in addition to organizations supporting operatives on regular training on relevant skills

Author(s):  
Benjamin Boahene Akomah ◽  
Roland William Lawson ◽  
Emmanuel Nana Jackson

Abstract Labour productivity is key to the success of every construction project. The paper seeks to determine the factors that affect labour productivity and proffer possible ways to improve it in building construction projects. The study was preceded by a literature review. Data used were primary data collected through the use of questionnaires. The total number of respondents was 175. Snowball sampling technique was used in sampling respondents. Factor analysis was performed on the data collected and mean scores were also generated. The findings of the study showed that the use of wrong equipment, misuse of time schedule, lack of training sessions, poor site organisation, lack of motivation for workers, delays in the supply of materials and rework were the critical factors affecting labour productivity in building projects of Ghana. However, the major ways of improving labour productivity in building construction projects, according to the study, were to correct bad behaviour that negatively influenced productivity, proper layout of site, to improve health and safety, to use proper materials handling systems and to set targets for employees. Management must put structures in place to restrict human, material and construction related factors. This is because giving concessions in these areas can take a toll on productivity.


2018 ◽  
Vol 8 (3) ◽  
pp. 293-304 ◽  
Author(s):  
Chukwuka Christian Ohueri ◽  
Wallace Imoudu Enegbuma ◽  
Ngie Hing Wong ◽  
Kuok King Kuok ◽  
Russell Kenley

Purpose The purpose of this paper is to develop a motivation framework that will enhance labour productivity for Iskandar Malaysia (IM) construction projects. The vision of IM development corridor is to become Southern Peninsular Malaysia’s most developed region by the year 2025. IM cannot realise this foresight without effective labour productivity. Previous studies have reported that the labour productivity of IM construction projects was six times lower than the labour productivity of Singapore construction projects, due to lack of motivation among IM labourers, and a shortage of local skilled labour. Therefore, there is a need to study how to motivate IM construction labourers, so as to increase their productivity. Design/methodology/approach A quantitative research method was used to collect data from IM construction skilled labourers and construction professionals, using two sets of questionnaire. The respondents were selected using a purposive sampling technique. In total, 40 skilled labourers and 50 construction professionals responded to the questionnaire survey, and the data were analysed using Statistical Package for Social Science software (version 22). Findings The analysis revealed the major factors that motivate labourers participating in IM construction projects. The factors were ranked hierarchically using Relative Importance Index (RII) and the outcome of the ranking indicated that effective management, viable construction practices, financial incentives, continuous training and development, and safe working environment were the most significant motivation strategies that positively influence IM construction labourers. Originality/value The study developed and validated a framework that can be used to boost the morale of IM construction labourers, so that their productivity can be increased. Implementation of the established motivation framework will also lead to career progression of IM construction labourers, based on the training elements in the framework. This career prospect will attract local skilled labourers to participate in IM construction projects.


2021 ◽  
Vol 28 (1) ◽  
pp. 118-129
Author(s):  
Ibrahim Mahamid

This study is conducted to establish the effect of design quality on project delay in building projects. It aims at: 1) investigating the major factors of design quality, 2) identifying the main delay factors in building projects, 2) establishing the relationship between design quality and delay in building projects. To achieve these objectives, a questionnaire survey is performed. Seventeen (17) factors that might affect design quality, and 15 delay factors are listed in a questionnaire form. Sixty (60) contractors and 40 consultants are asked to identify the severity of the identified factors. Results indicate that the top factors affecting design quality are: delay in payments by client for design services, staff allocation for many projects at the same time, copying and modifying from previous work to minimize time and cost, tight design schedule, lack of designer knowledge with techniques and materials available in the market. The study also concludes that the top five delay factors include: payments delay, poor labor productivity, lack of skilled manpower, frequent change orders and rework. Regression analysis for data collected from 36 building projects shows a good correlation between design quality and delay in projects. This study is the first one that addresses the problem of design quality in the West Bank in Palestine. Furthermore, it is the first study that addresses the effect of design quality on project delay in Palestine and the neighboring countries. It is hoped to be helpful for researchers and professionals to understand the impact of design quality on schedule delay.


2018 ◽  
Vol 8 (11) ◽  
pp. 2324 ◽  
Author(s):  
Yingbo Ji ◽  
Lin Qi ◽  
Yan Liu ◽  
Xinnan Liu ◽  
Hong Li ◽  
...  

Prefabricated construction has been widely accepted as an alternative to conventional cast-in-situ construction, given its improved performance. However, prefabricated concrete building projects frequently encounter significant delays. It is, therefore, crucial to identify key factors affecting schedule and explore strategies to minimise the schedule delays for prefabricated concrete building projects. This paper adopts the decision-making trial and evaluation laboratory (DEMATEL) model and analytic network process (ANP) method to quantify the cause-and-effect relationships and prioritise the key delay factors in terms of their importance in the Chinese construction industry. The DEMATEL model evaluates the extent to which each factor impacts other factors. The quantified extents are then converted into a prioritisation matrix through ANP. The delay factors of prefabricated construction projects are selected and categorised based on a literature review and an expert interview. Questionnaires are then implemented to collect the data. The results reveal that the issue of inefficient structural connections for prefabricated components is found to be the most significant factor and most easily affected by other delay factors. This research also suggests prioritising major delay factors, such as ‘lack of communication among participants’ and ‘low productivity’, in the Chinese construction industry during scheduling control. Overall, this research contributes an assessment framework for decision making in the scheduling management of prefabricated construction.


2018 ◽  
Vol 162 ◽  
pp. 02032 ◽  
Author(s):  
Tareq Khaleel ◽  
Yasser Nassar

Productivity is a very important element in the estimation process in construction management. The objective of this research is to identify and analyze the factors which affect labor productivity in construction projects. In this research, 42 effective factors were collected from site survey, interview with engineers and experts, and previous research in the Arab world. These factors are grouped into Nine categories “Workforce, Leadership, Motivation, Supervisors, Safety, Project, Time, Material, and External”. A survey questionnaire of 70 respondents was distributed among different experts. A statistical analysis was done using SPSS and EXCEL packages. The Relative Importance Index was used to find out the most significant factors affecting the labor productivity in construction sites. The results accomplished from the survey revealed that the major factors negatively affect the labor productivity (ranked from the worst factor with Relative Importance Index values, respectively) namely, Availability Material (88.571%), Climate status “Weather” (88%), Religious occasions (86.29%), Number of working groups (86%), Ganger experience (85.714%), Workforce surveillance (84.857%), Ganger Age (84%), working at height (82%), Drawings and specifications alteration during execution (81.69%), and Sequence of floor (80.571%). Based upon these findings, this can help the construction professionals to improve the productivity and project performance in Iraq.


2007 ◽  
Vol 13 (3) ◽  
pp. 169-176 ◽  
Author(s):  
Henry Mwanaki Alinaitwe ◽  
Jackson A. Mwakali ◽  
Bengt Hansson

Poor productivity of construction workers is one of the causes of cost and time overruns in construction projects. The productivity of labour is particularly important especially in developing countries, where most of the building construction work is still on manual basis. This paper reports on a survey made on project managers of building projects in Uganda, where an increase in productivity is being sought. Respondents were required to rate using their experience how 36 factors affect productivity with respect to time, cost and quality. The survey was carried out by a questionnaire and responses received over a period of 3 months. The ten most significant problems affecting labour productivity were identified as incompetent supervisors; lack of skills from the workers; rework; lack of tools/equipment; poor construction methods; poor communication; inaccurate drawings; stoppages because of work being rejected by consultants; political insecurity; tools/equipment breakdown; and harsh weather conditions. Although lack of materials is ranked highest with regard to average rating on loss of time, it was not ranked among the top ten using the importance index that takes into account time, cost as well as work quality. The policy makers and researchers should focus on the identified major factors in order to improve productivity.


2021 ◽  
Vol 2 (02) ◽  
pp. 26-37
Author(s):  
T. Adagba ◽  
J.O Ati ◽  
A.I Makarfi

In this research, factors affecting construction labour productivity in Zaria, Kaduna state was assessed. The research seeks to identify the factors affecting labour productivity in the research area. It is believed that this information will aid site managers and the construction professionals on decisions to take in-order to limit these controlling factors thereby leading to an improved level of efficiency in labour force, increase product labour productivity and reduce cost and time over runs on construction projects. The research adopted a quantitative research approach with the use of questionnaires as an instrument for data collection from site managers at construction sites in Zaria. Sixty-seven questionnaires were administered on construction sites within Zaria and Forty-one were returned giving a sixty-one percent response. The Questionnaire sought to assess the perception of site managers on factors affecting construction labour productivity. Data was analysed using descriptive statistics analysis to obtain frequencies, mean and Relative Importance Index (RII). RII was used to rank the factors. Thirty-Nine out of the Forty-One factors researched indicated high severity with the RII ranging between 0.60 RII < 0.80. The research revealed that external forces tend to affect construction labour productivity more than Site factors and Human Labour Factors. This can be attributed to the fact that site factors and Human Labour factors can be controlled by the site engineers while the external factors cannot be really controlled by the site engineers. The survey also revealed that Rain, Conflict with project stakeholders, Skill of labour, and Financial Crisis had a very high severity in affecting construction labour productivity on the construction sites in Zaria, Kaduna State.


Author(s):  
Lekan M. Amusan ◽  
Ignatius O. Omuh ◽  
Timothy O. Mosaku

Building Informatics is a body of knowledge that uses the ICT computer system, digital systems, building information modeling, and state-of-the-art software in solving technical and management issues in building and construction fields. One of the modern methods used in data forecasting and modeling is Artificial Neural Networks, considering its advantage over traditional regression method. A data sample was taken of 1500 residential building projects' completion costs. Regression analysis was carried out and model validated with functionality and Jackknife re-sampling technique. 150 Questionnaires were used to capture data on factors influencing application of heuristics protocol for decisions in residential building construction projects and data samples were analyzed using severity index, ranking, and simple percentages. Analysis of data brought up some factors that influence effective application of heuristic protocol in solving decision problems in construction decision process. The linearity analysis was carried out on the model and results indicated high level of tolerance and-0.0876 lowest variation prediction quotients to 0.9878 highest variation quotients. Also, 0.069 regression model fitness coefficient (R-square) was generated with 0.9878 highest variation quotients with standard error of 0.045. The results data attests to the stability of the model generated and the model is flexible in accommodating new data and variables, thus, allows for continuous updating.


2018 ◽  
Vol 7 (6) ◽  
pp. 138
Author(s):  
Felix Senyametor ◽  
Emmanuel Kofi Gyimah ◽  
Vincent Mensah Minadzi

This study aimed at finding out factors affecting pupils&rsquo; absenteeism at Felicomfort JHS at Amamoma within the University of Cape Coast, Ghana. The total population was 145 covering the JHS1, JHS2, JHS3 pupils and teachers of the school. Purposive sampling technique was used to select 34 respondents. These were made up of 10 out of 15 teachers, 10 parents out of 53 and 14 pupils out of their accessible population of 56. Pretest, posttest, questionnaires and interviews were used to collect data from respondents. Case study design was used for the study and data analysis was done, using mean values, frequency and percentage counts with the Predictive Analytical Software (PASW) version 21. Key findings of the study indicated that 71.4 percent of absenteeism was due to teachers&rsquo; inability to care and find out from pupils the cause of their absenteeism, while 70 percent of respondents indicated that parental lack of care was the major cause of their absenteeism. However, majority (10) of respondents (71%) disagreed that pupils&rsquo; attitudes were part of the contributory factors to their habitual absenteeism. The overall percentage mean (58%) representing 8 of the pupils discounted teacher factor as responsible for their absenteeism. It was recommended that government through the District Assemblies offer some financial assistance to poor and single parents to enable them to adequately cater for their wards at school.


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