EVALUATION OF FACTORS AFFECTING LABOUR PRODUCTIVITY IN CONSTRUCTION INDUSTRY: A CASE STUDY

2015 ◽  
Vol 77 (12) ◽  
Author(s):  
Nasiru Zakari Muhammad ◽  
Ashiru Sani ◽  
Ahmad Muhammad ◽  
Saeed Balubaid ◽  
Egba Ernest Ituma ◽  
...  
Keyword(s):  
Labor Productivity ◽  
Labour Productivity ◽  
Factors Affecting ◽  
Management Level ◽  
Local Staff ◽  
Construction Firms ◽  
Communication Problems ◽  
The Mean ◽  
Traditional Construction ◽  
Significant Factors

Construction labor productivity is critical to the success of the industry. It is thus, important for the estimation and scheduling of construction project. However, most of the traditional construction firms have no accurate data on labor productivity. Therefore, this paper aims to identify through literature review those factors that affect labor production rate and evaluate their effects on the performance of the industry. The research made use of the 44 returned questionnaires from the contractors firms. Statistical package for social sciences (SPSS) to compute the mean score for each factor. These factors were subsequently ranked based on the mean score value.The results of the analysis has shown that, based on the management level factors “lack of motivation and incentive, lack of equipment, disruption of power and water supply and inspection delay” are the most significant factors affecting labour productivity each with mean score values of  0.79, 0.44, 0.38 and 0.35 respectively. Also based on the site level factors “lack of adequate skillful worker with specific scope of work” at site, delay in material supply, weather, access to the site, crew size and communication problems between foreign and local staff are the top six most significant factors affecting labour productivity each with the mean score values of 0.77, 0.75, 0.75, 0.66, 0.61 and 0.53 respectively. Similarly, all the respondents seem to have agreed in their perception on the severity of factors affecting labour productivity.

scholarly journals Impact of R&D&I on the Performance of Spanish Construction Companies

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Salvador López ◽  
Víctor Yepes
Keyword(s):  
National Level ◽  
Review Of The Literature ◽  
Individual Group ◽  
Factors Affecting ◽  
Construction Firms ◽  
Construction Companies ◽  
Organizational Levels ◽  
Potential Factors ◽  
The Individual ◽  
Significant Factors

Deciding whether certain factors should be considered drivers of innovation in construction firms is crucial in terms of improving their performance and survival in an environment that is changing by leaps and bounds. Throughout the years, construction companies have been considered to be traditional and without the tendency to innovate. However, several studies have confirmed that this perception of the sector is evolving and that successful instruments from other industries are gradually being adapted for the benefit of the industry. The objective of this paper is therefore to investigate the potential factors affecting the performance of these organizations. Eighteen factors related to the individual, group, and organizational levels were identified through a review of the literature and an instrument developed that was validated by experienced professionals. A questionnaire was sent to 103 people working in the sector at the national level to obtain their views. The results of the classification analysis indicate that “technology and equipment” and “software acquisition” are considered the two most significant factors. In addition, these 18 factors can be classified into 7 groups: (i) internal drivers of innovation; (ii) innovation within the organization; (iii) technological innovation; (iv) technological links with the environment; (v) external drivers of innovation; (vi) innovation in processes; (vii) a culture of innovation in the company. Innovation in processes has the highest level of impact. This research deepens the current understanding of the factors at different organizational levels that must be highlighted in the implementation of an R&D system in order for companies to improve their performance and survival in future processes.

scholarly journals Identification and analysis of factors affecting labour productivity in Iraq

2018 ◽  
Vol 162 ◽  
pp. 02032 ◽  
Author(s):  
Tareq Khaleel ◽  
Yasser Nassar
Keyword(s):  
Labor Productivity ◽  
Construction Projects ◽  
Arab World ◽  
Labour Productivity ◽  
Relative Importance ◽  
Construction Sites ◽  
Factors Affecting ◽  
Importance Index ◽  
Leadership Motivation ◽  
Major Factors

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.

scholarly journals Application of the Regression Model for Evaluating Factors Affecting Construction Workers’ Labor Productivity in Vietnam

2019 ◽  
Vol 13 (1) ◽  
pp. 353-362 ◽  
Author(s):  
Dinh Tuan Hai ◽  
Nguyen Van Tam
Keyword(s):  
Regression Model ◽  
Labor Productivity ◽  
Time Factors ◽  
Construction Workers ◽  
Construction Sites ◽  
Factors Affecting ◽  
Construction Firms ◽  
Motivation Factors ◽  
Impacting Factors ◽  
To Come

Background: In the rapidly-developed construction industry, labor productivity has improved to a great extent, still, it is low compared with many other industries. The enhancement of labor productivity has become important that attracts much attention and focus from researchers in Vietnam and around the world. Aim: This paper focuses on key factors affecting labor productivity of construction sites in Vietnam by introducing a regression model to evaluate the extent of each factor’s impact on the labor productivity of construction workers. Methods: Ten groups of impacting factors were identified as factors relevant to construction worker, factors relevant to site operation and management, factors relevant to motivation, factors relevant to working time, factors relevant to labor working tools, factors relevant to labor working conditions, factors relevant to working safety, factors relevant to project informations, factors relevant to natural environment, and factors relevant to socio-economic conditions. Results: By referring to research results, Vietnamese construction contractors will be able to come up with workable solutions towards a better performance of construction workers. Conclusion: On that basis, the productivity of construction firms and the workers will be improved correspondingly.

scholarly journals Effect of Covid-19 Pandemic in Construction Labor Productivity: A Quantitative and Qualitative Data Analysis

2021 ◽  
Author(s):  
Emer Tucay Quezon
Keyword(s):  
Labor Productivity ◽  
Qualitative Data ◽  
Health Workers ◽  
Health And Safety ◽  
Health Department ◽  
Related Factor ◽  
Related Factors ◽  
Factors Affecting ◽  
Schedule Compression ◽  
Significant Factors

This research aims to identify and analyze the various factors affecting construction labor productivity covering the period from December 9, 2020 - January 31, 2021, a year after it was declared Covid-19 a pandemic. Due to the pandemic effect, the local government units in four selected study areas imposed intermittent Enhance Community Quarantine on all places to control the Coronavirus spread in compliance with the health department protocol. Fifty-five questionnaires returned out of 63 distributed are tabulated according to each group-related factor. The correlation analysis resulted in the highest coefficient value of 0.89 between the CTDEO and contractor groups. Meaning, most respondents have the same perception of the factors affecting construction's low labor productivity. Besides, results depicted that the absence of health workers on the construction site ranked 1st in the health & safety provision factor group with an RII of 0.97, followed by no safety engineers on the construction project sites with an RII of 0.93. From all the seven groups of factors, the health and safety group-related factors ranked 1st with an RII of 0.81, next, the schedule compression group with an RII of 0.78. Hypothesis testing asserted that working six days per week was one of the significant factors affecting labor productivity on the contractor's side, suggested by more than 50% of the respondents. The workforce group-related factors with an RII of 0.77 demonstrated a slight difference with the schedule compression group-related factors. Thus, the Covid-19 pandemic has a significant effect on the essential factors affecting construction's low labor productivity.

scholarly journals Factors affecting labour productivity of construction worker on construction site: A case of Hanoi

2018 ◽  
Vol 12 (5) ◽  
pp. 127-138 ◽  
Author(s):  
Nguyen Van Tam ◽  
Nguyen Lien Huong ◽  
Nguyen Bao Ngoc
Keyword(s):  
Construction Industry ◽  
National Economy ◽  
Labour Productivity ◽  
Construction Workers ◽  
Construction Site ◽  
Construction Worker ◽  
Factors Affecting ◽  
Construction Firms ◽  
To Come ◽  
Productivity Factors

Labour productivity of Vietnamese economy in general and of Vietnamese construction industry in particular is low in comparison with other countries. Boosting labour productivity is becoming an urgency and is attracting much attention from both domestic and foreign researchers. This paper focuses on a series of factors affecting labour productivity on construction site in Hanoi. The research aims to evaluate and rate the extent of impact of each factor to labour productivity. By referring to the outcomes of this study, Vietnamese construction contractors will be able to come up with workable solutions which will contribute towards a better performance of construction workers. On that basis, the productivity of construction firms and national economy will be improved correspondingly. Keywords: productivity; labour productivity; factors affecting; construction worker. 

scholarly journals Importance of Labour Efficiencyin Dry Dock Construction

2019 ◽  
Vol 8 (4) ◽  
pp. 5737-5741 ◽  
Keyword(s):  
Labor Productivity ◽  
Questionnaire Survey ◽  
Labour Productivity ◽  
Research Paper ◽  
Relative Importance ◽  
Construction Site ◽  
Factors Affecting ◽  
Survey Results ◽  
Dry Dock ◽  
Index Of Relative Importance

This research paper aims to define and evaluate factors affecting labor productivity in the construction site.A formal questionnaire survey was used as the tool for collecting data from the workforce from dry dock construction. The data collected were analyzed using the index of relative importance (RII) to rank the variables based on their relative importance. Suitable recommendations were made to working pattern considering the survey results and this showed an increment in the labour productivity. In this study the responses was collected from the thirty professionals working on the dry dock construction site. Based on the RII value the responses were analyzed and top ten factors were selected that influences the labor productivity the most. After implementing suggestive measures in four teams, productivity was improved and as a result baseline productivity for all four teams was almost around 350 kg/man. Improving productivity can help to reduce time and cost at the construction field.

scholarly journals Comparative Analysis of Various Approaches to Calculating Labour Productivity

2020 ◽  
pp. 117-131
Author(s):  
Nataliia N. Volkova ◽  
Evelyna I. Romanyuk ◽  
Alexander A. Frenkel
Keyword(s):  
Labor Productivity ◽  
Labour Productivity ◽  
Productivity Index ◽  
Factors Affecting ◽  
Institutional Conditions ◽  
Managerial Decisions ◽  
Regional Labor ◽  
National Organizations ◽  
Effective Assessment ◽  
Regions Of Russia

The article is devoted to the problem of analyzing the methodological foundations for assessing the dynamics of labour productivity in the regions of Russia in the context of the digital transformation of the economy. The identification of differences in the level of labour productivity and employment and the influencing factors is a necessary requirement for building a competent regional socio-economic policy in the new institutional conditions. Calculations of labour productivity are carried out by various international and national organizations that use a variety of methods for measuring this indicator. The presence of a sufficiently large number of methods for measuring productivity leads to the fact that each one gives its own result and different dynamics. The authors set the task to consider the existing methodological approaches to calculating labor productivity and to analyze how much they affect the results. The authors statistically tested the hypothesis of heterogeneity of ratings obtained by various methods. The calculations were made on the basis of data from Rosstat for the regions of Russia for the period from 2013 to 2018. To study the uniformity of the series, various statistical criteria were used. The analysis showed that in all years of the period under review the samples are heterogeneous. Consequently, the development of managerial decisions substantially depends on the methodology used to calculate the labour productivity index. The authors concluded that it is necessary to build an index of labour productivity based on regression dependencies on indicators reflecting the main factors affecting regional labor productivity. It helps to get a more effective assessment of regional differences in its level and dynamics. This index should be built for each region taking into account its industry specifics and the level of development of new digital technologies.

scholarly journals Acceptance and willingness to pay for COVID-19 vaccine among school teachers in Gondar City, Northwest Ethiopia

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Kegnie Shitu ◽  
Meareg Wolde ◽  
Simegniew Handebo ◽  
Ayenew Kassie
Keyword(s):  
Willingness To Pay ◽  
Private School ◽  
Perceived Risk ◽  
Contingent Valuation Method ◽  
Statistical Significance ◽  
School Teachers ◽  
Factors Affecting ◽  
Factors Associated ◽  
The Mean ◽  
Significant Factors

Abstract Background Vaccination is one of the strategies to prevent the COVID-19 pandemic. COVID-19 vaccine acceptance and cost are important factors affecting its uptake. However, little is known about acceptance and willingness to pay (WTP) for the vaccine. Objective This study aimed to assess acceptance and WTP for the COVID-19 vaccine and its associated factors among school teachers. Methods An institution-based cross-sectional study was conducted among school teachers. A stratified simple random sampling technique was employed to select the participants. The contingent valuation method was used to assess each respondent’s willingness to pay for the COVID-19 vaccination. A multivariable logistic regression analysis was employed to identify significant factors associated with WTP for the COVID-19 vaccine. A p value of less than 0.05 and a 95% confidence interval were used to declare statistical significance. Result A total of 301 school teachers participated with a response rate of 99.6%. The mean age of participants was 39.5 (SD ± 8.7 years). The mean WTP for the COVID-19 vaccine is US$ 4.98 (± US$ 1.6). Less than half (40.8%) of participants were willing to accept the COVID-19 vaccine whereas only 36.9% (95% CI, (31.6%, 42.5%)) of them were WTP for the vaccine. Being male (AOR = 3.23; 95% CI, (1.70, 6.14)), being a private school teacher (AOR = 3.27; 95% CI, (1.76, 6.10)), having high perceived susceptibility to COVID-19 (AOR = 2.69; 95% CI, (1.38, 5.24)), having high perceived seriousness of COVID-19 (AOR = 4.04; 95% CI, (1.80, 9.1)), and having high perceived benefit of COVID-19 vaccine (AOR = 3.0; 95% CI, (1.41, 6.34) were significant factors associated with WTP for COVID-19 vaccination. Conclusion and recommendation The magnitude of acceptance and WTP for the COVID-19 vaccine was low among school teachers. Male sex, private school affiliation, high perceived risk of COVID-19, and benefit of COVID-19 vaccine were the most important factors affecting school teacher’s WTP for COVID-19 vaccine. Thus, health communication programs should give due emphasis to raising teacher’s perceived risk of COVID-19 and the benefit of the COVID-19 vaccine to improve their acceptance and WTP for the vaccine. Furthermore, subsidizing the cost of the vaccine may improve their WTP.

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