Abstract
The construction industry has been recognized, for many years, as among those having a high likelihood of accidents, injuries and occupational illnesses. Such risks of construction workers can lead to low productivity and social problems. As a result, construction workers’ well-being should be highly addressed to improve construction workers’ efficiency and productivity. Meanwhile, the social support from a social network and capital (SNC) of construction workers has been considered as an effective approach to promote construction workers’ physical and mental health (P&M health), as well as their work efficiency and productivity. Based on a comprehensive literature review, a conceptual model, which aims to improve construction workers’ efficiency and productivity from the perspective of health and SNC, was proposed. A questionnaire survey was conducted to investigate the construction workers’ health, SNC and work efficiency and productivity in Nanjing, China. A structural equation model (SEM) was employed to test the three hypothetical relationships among construction workers’ P&M health, SNC and work efficiency and productivity. The results indicated that the direct impacts from construction workers’ P&M health on work efficiency and productivity were more significant than that from the SNC. In addition, the construction workers’ social capital and the network can indirectly influence the work efficiency and productivity by affecting the construction workers’ P&M health. Therefore, strategies for enhancing construction workers’ efficiency and productivity were proposed. Furthermore, many useable suggestions can be drawn from the research findings from the perspective of a government. The identified indicators and relationships would contribute to the construction work efficiency and productivity assessment and health management from the perspective of the construction workers.
Highlights
The construction industry features high-level risks on the safety and health of the working population
structural equation model (SEM) is used to test the hypothetical relationships indicate the direction of hypothesized influence
SEM is used to test the hypothetical relationships among latent variables in the initial model
Summary
The construction industry features high-level risks on the safety and health of the working population. The goal of the health, safety and environment (HSE). Workers should be prevented from losing their health because of unsafe working conditions and be protected from harmful factors from their working environment [2,3]. Work efficiency and productivity would be improved if the workers. The most challenging issue in the construction industry in the last two decades is how to improve the production efficiency and productivity. Many prior studies have been done; a deeper understanding is still needed to improve the efficiency and productivity by studying the different ways that could influence the workers’ The need for improvement in terms of efficiency and effectiveness (e.g., time, costs and quality) of work is often discussed, for instance in programmes of continual improvement or in generative learning [21,22].
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