Performance Improvement of Construction Workers to Achieve Better Productivity for Labour-Intensive Works
Author(s): |
Emmanuel Bamfo-Agyei
Didibhuku Wellington Thwala Clinton Aigbavboa |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 20 September 2022, n. 10, v. 12 |
Page(s): | 1593 |
DOI: | 10.3390/buildings12101593 |
Abstract: |
This paper develops techniques to improve labour productivity in the construction industry and determine the level of labour productivity in the Ghanaian construction industry. The goal of this study was to develop a framework for determining the optimal productivity of construction workers for labour-intensive projects. There were three main objectives of this study: to identify factors that influence construction labour productivity in Ghana, to determine techniques used to improve construction labour productivity, and to develop a comprehensive framework for improving construction labour productivity in Ghana. The study adopted a quantitative research design that used a questionnaire. Since the country has been divided into zones, a stratified sampling technique was used based on the diverse nature of the population. Meanwhile, since the district offices were not all handling road construction projects, a purposive sampling technique was used to select 40 districts that were involved in road construction projects. A total of 560 respondents were sampled for the study. The data obtained from the study were analysed and are presented in tables and diagrams. The following factors played a significant role: the age of beneficiaries, the knowledge of beneficiaries, compliance with safety regulations, and the motivation of beneficiaries. Growing a project’s beneficiary base has been observed by many sites to be associated with a decrease in overall labour productivity (due to the overcrowding of workers). Recruiting new members should be conducted cautiously, as the government plans to use this medium to benefit the impoverished in the region. Construction workers can use this information to aid in firm decision-making. For planning purposes, this research can also be used as a useful tool for utilizing labour-intensive methods to increase productivity and meet contract deadlines by finishing a task as anticipated. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10700108 - Published on:
11/12/2022 - Last updated on:
10/05/2023