Abstract:
Purpose – Construction activities generate noise that is harmful to workers and the neighbouring community.
Engineering control methods are often used for its control which are expensive and limited in effectiveness.
This study aims to investigate factors that affect employee behaviour and how it could be used by construction
companies to manage noise pollution on sites.
Design/methodology/approach – Norm Activation Model (NAM) is used to investigate the relationship
between attitudes and behaviour of site-based employees using a questionnaire survey administered in
Colombo, Sri Lanka. The responses were analysed using structural equation modelling to discern behavioural
patterns and how it differs between managers and workers.
Findings – The results showed that behaviour of site employees could be influenced when they are aware of
the consequences of noise pollution and take responsibility for its control. Personal norm of an employee and
company’s environmental behaviour are found to influence the behaviour in a positive manner.
Practical implications – Construction companies should focus more on how to harness their employee’s
behaviour in order to reduce noise pollution on sites. Employees should be made aware of consequences of
noise pollution and feel responsible for their actions through training, awareness campaigns, signage and so on.
Originality/value – This study contributes to the literature by building a theoretical model of employee noise
control behaviour in construction organizations and empirically testing it among managers and workers. It
compares the differences between these two groups which enhances one’s understanding of behavioural
control methods when applied in a construction project setting. The study also evaluates the effects of
company’s environmental behaviour on employee behaviour.
Citation:
Kaluarachchi, M., Waidyasekara, K. G. A. S., & Rameezdeen, R. (2021). Antecedents of noise pollution control behaviour of employees of construction companies. Built Environment Project and Asset Management, 12(2), 277–292. https://doi.org/10.1108/BEPAM-04-2020-0071