Measuring labour productivity in labour intensive works on the road construction in Ghana

Emmanuel Bamfo-Agyei; Clinton Aigbavboa; Thwala Welligton Didibhuku

doi:10.1007/978-3-319-94199-8_50

Measuring labour productivity in labour intensive works on the road construction in Ghana

Emmanuel Bamfo-Agyei
, Clinton Aigbavboa
, Thwala Welligton Didibhuku

Construction Management and Quantity Surveying

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Reports from earlier studies indicate that low productivity is common in the construction industry in developing countries like Ghana and this could be attributed to poor labour productivity. The aim of this research is to develop a model for estimating the optimal Construction Labour Productivity (CLP) which can aid construction industry in determining and measuring labour productivity in labour intensive public works in Ghana. The objective are to identify the trend in measuring labour productivity; to identify the factors that affect construction labour Productivity on the site and to evaluate the effect of identified factors that affect construction labour productivity in Ghana. Content analysis was adopted to measure the productivity and the factors that affect productivity of labour during labour intensive works. The findings indicated that productivity; profitability; performance; efficiency and effectiveness contributed to the tipple model and productivity from literature was measured under work measurement which included time study; work sampling and activity sampling. The factors identified were grouped into five components, Management and control component; Work characteristics component; Equipment component; Materials component and workers component.

Original language	English
Title of host publication	Advances in Human Factors, Sustainable Urban Planning and Infrastructure - Proceedings of the AHFE 2018 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018
Editors	Christianne Falcao, Jerzy Charytonowicz
Publisher	Springer Verlag
Pages	515-523
Number of pages	9
ISBN (Print)	9783319941981
DOIs	https://doi.org/10.1007/978-3-319-94199-8_50
Publication status	Published - 2019
Event	AHFE International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018 - Orlando, United States Duration: 21 Jul 2018 → 25 Jul 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	788
ISSN (Print)	2194-5357

Conference

Conference	AHFE International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018
Country/Territory	United States
City	Orlando
Period	21/07/18 → 25/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Construction sites
Ghana
Labour
Productivity

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-94199-8_50

Cite this

Bamfo-Agyei, E., Aigbavboa, C., & Didibhuku, T. W. (2019). Measuring labour productivity in labour intensive works on the road construction in Ghana. In C. Falcao, & J. Charytonowicz (Eds.), Advances in Human Factors, Sustainable Urban Planning and Infrastructure - Proceedings of the AHFE 2018 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018 (pp. 515-523). (Advances in Intelligent Systems and Computing; Vol. 788). Springer Verlag. https://doi.org/10.1007/978-3-319-94199-8_50

Bamfo-Agyei, Emmanuel ; Aigbavboa, Clinton ; Didibhuku, Thwala Welligton. / Measuring labour productivity in labour intensive works on the road construction in Ghana. Advances in Human Factors, Sustainable Urban Planning and Infrastructure - Proceedings of the AHFE 2018 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018. editor / Christianne Falcao ; Jerzy Charytonowicz. Springer Verlag, 2019. pp. 515-523 (Advances in Intelligent Systems and Computing).

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title = "Measuring labour productivity in labour intensive works on the road construction in Ghana",

abstract = "Reports from earlier studies indicate that low productivity is common in the construction industry in developing countries like Ghana and this could be attributed to poor labour productivity. The aim of this research is to develop a model for estimating the optimal Construction Labour Productivity (CLP) which can aid construction industry in determining and measuring labour productivity in labour intensive public works in Ghana. The objective are to identify the trend in measuring labour productivity; to identify the factors that affect construction labour Productivity on the site and to evaluate the effect of identified factors that affect construction labour productivity in Ghana. Content analysis was adopted to measure the productivity and the factors that affect productivity of labour during labour intensive works. The findings indicated that productivity; profitability; performance; efficiency and effectiveness contributed to the tipple model and productivity from literature was measured under work measurement which included time study; work sampling and activity sampling. The factors identified were grouped into five components, Management and control component; Work characteristics component; Equipment component; Materials component and workers component.",

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Bamfo-Agyei, E, Aigbavboa, C & Didibhuku, TW 2019, Measuring labour productivity in labour intensive works on the road construction in Ghana. in C Falcao & J Charytonowicz (eds), Advances in Human Factors, Sustainable Urban Planning and Infrastructure - Proceedings of the AHFE 2018 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018. Advances in Intelligent Systems and Computing, vol. 788, Springer Verlag, pp. 515-523, AHFE International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018, Orlando, United States, 21/07/18. https://doi.org/10.1007/978-3-319-94199-8_50

Measuring labour productivity in labour intensive works on the road construction in Ghana. / Bamfo-Agyei, Emmanuel; Aigbavboa, Clinton; Didibhuku, Thwala Welligton.
Advances in Human Factors, Sustainable Urban Planning and Infrastructure - Proceedings of the AHFE 2018 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018. ed. / Christianne Falcao; Jerzy Charytonowicz. Springer Verlag, 2019. p. 515-523 (Advances in Intelligent Systems and Computing; Vol. 788).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Measuring labour productivity in labour intensive works on the road construction in Ghana

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AU - Aigbavboa, Clinton

AU - Didibhuku, Thwala Welligton

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Y1 - 2019

N2 - Reports from earlier studies indicate that low productivity is common in the construction industry in developing countries like Ghana and this could be attributed to poor labour productivity. The aim of this research is to develop a model for estimating the optimal Construction Labour Productivity (CLP) which can aid construction industry in determining and measuring labour productivity in labour intensive public works in Ghana. The objective are to identify the trend in measuring labour productivity; to identify the factors that affect construction labour Productivity on the site and to evaluate the effect of identified factors that affect construction labour productivity in Ghana. Content analysis was adopted to measure the productivity and the factors that affect productivity of labour during labour intensive works. The findings indicated that productivity; profitability; performance; efficiency and effectiveness contributed to the tipple model and productivity from literature was measured under work measurement which included time study; work sampling and activity sampling. The factors identified were grouped into five components, Management and control component; Work characteristics component; Equipment component; Materials component and workers component.

AB - Reports from earlier studies indicate that low productivity is common in the construction industry in developing countries like Ghana and this could be attributed to poor labour productivity. The aim of this research is to develop a model for estimating the optimal Construction Labour Productivity (CLP) which can aid construction industry in determining and measuring labour productivity in labour intensive public works in Ghana. The objective are to identify the trend in measuring labour productivity; to identify the factors that affect construction labour Productivity on the site and to evaluate the effect of identified factors that affect construction labour productivity in Ghana. Content analysis was adopted to measure the productivity and the factors that affect productivity of labour during labour intensive works. The findings indicated that productivity; profitability; performance; efficiency and effectiveness contributed to the tipple model and productivity from literature was measured under work measurement which included time study; work sampling and activity sampling. The factors identified were grouped into five components, Management and control component; Work characteristics component; Equipment component; Materials component and workers component.

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ER -

Bamfo-Agyei E, Aigbavboa C, Didibhuku TW. Measuring labour productivity in labour intensive works on the road construction in Ghana. In Falcao C, Charytonowicz J, editors, Advances in Human Factors, Sustainable Urban Planning and Infrastructure - Proceedings of the AHFE 2018 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2018. Springer Verlag. 2019. p. 515-523. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-94199-8_50

Measuring labour productivity in labour intensive works on the road construction in Ghana

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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