Search results

1 – 2 of 2
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 4 June 2020

Anas Moussa Al Refaie, Ali M. Alashwal, Zulkiflee Abdul-Samad and Hafez Salleh

Climate change and global warming have increased concerns over the influence of weather on workers' health and productivity in construction projects. A significant number of…

936

Abstract

Purpose

Climate change and global warming have increased concerns over the influence of weather on workers' health and productivity in construction projects. A significant number of studies can be found in the weather and productivity interplay area. The purpose of this paper is to review the recently published papers in this area to explore the trends of research and topics discussed and to determine knowledge gaps and directions for future research.

Design/methodology/approach

Recent papers published between 2014 and 2019 were synthesized, reviewed and analyzed using bibliometric and text mining analysis.

Findings

The results revealed the trends of publications, the main authors contributed to this area and countries that attracted most of the research papers. Based on the review, this study presented a taxonomy of studies consisting of seven clusters, namely productivity management, seasons, weather factors, participants' conditions, uniform and clothing, work time and health and safety.

Originality/value

This review paper sheds a light into the topics discussed in this area, the interrelationship between the topics and the significant topics that should be continued in the future. Global warming concerns necessitate the need for more studies in tropical countries and countries that are expected to expose to high temperatures and heat stress, which greatly impact labor productivity. The paper highlighted the need to understand how weather influences workers' psychological conditions and subsequently their productivity.

Details

International Journal of Productivity and Performance Management, vol. 70 no. 4
Type: Research Article
ISSN: 1741-0401

Keywords

Access Restricted. View access options
Article
Publication date: 16 September 2022

Anas Al-Refaie, Ali Alashwal, Zulkiflee Abdul-Samad, Hafez Salleh and Ahmed Elshafie

Weather is one of the main factors affecting labour productivity. Existing weather-productivity models focussed on hot and cold climates paying less attention to the tropics. Many…

185

Abstract

Purpose

Weather is one of the main factors affecting labour productivity. Existing weather-productivity models focussed on hot and cold climates paying less attention to the tropics. Many tropical countries are expected to be the most areas affected by accelerated climate change and global warming, which may have a severe impact on labour health and productivity. The purpose of this paper is to assess whether the existing models can be used to predict labour productivity based on weather conditions in the tropics.

Design/methodology/approach

Five models are identified from the literature for evaluation. Using real labour productivity data of a high-rise building project in Malaysia, the actual productivity rate was compared with predicted productivity rates generated using the five models. The predicted productivity rates were generated using weather variables collected from an adjusting weather station to the project.

Findings

Compared with other models evaluated in this paper, the United States Army Corps of Engineers (USACE) was found to be the best model to predict productivity based on the case study data. However, the result shows only a 57% accuracy level of the USACE model indicating the need to develop a new model for the tropics for more accurate prediction.

Originality/value

The result of this study is perhaps the first to apply meteorological variables to predict productivity rates and validate them using actual productivity data in the tropics. This study is the first step to developing a more accurate productivity model, which will be useful for project planning and more accurate productivity rate estimation.

Details

Built Environment Project and Asset Management, vol. 13 no. 2
Type: Research Article
ISSN: 2044-124X

Keywords

1 – 2 of 2
Per page
102050