Purpose: Despite the positive impacts of the construction sector on enhancing economic growth and ensuring societal well-being, its negative impacts on the environment from unsustainable resource consumption levels, emission of greenhouse gases (GHGs) and waste generation is monumental. Circular economy (CE) concept is identified globally as an avenue to address problems regarding adverse impacts of construction on the environment. This paper presents the principles of CE as an avenue for enhancing environmental sustainability during the pre-construction stage within Sri Lankan construction projects.Design/methodology/approach: This research was approached through a qualitative research method. Data were collected through semi-structured interviews with subject matter experts. The number of experts were limited due to lack of experts with knowledge on the subject area in Sri Lanka. Data were analysed using content analysis.Findings: Findings revealed a range of activities under each R principle of CE, that is, reduce, reuse, recycle, redesign, reclassification and renewability that could be implemented during the pre-construction stage, thereby providing a guide for construction professionals in implementing CE at the pre-construction stage. The need to expand knowledge on CE concepts within the Sri Lankan construction sector was recognized.Originality/value: This study provides a qualitative in-depth perspective on how 6R principles of CE could be integrated to a construction project during the pre-construction stage. By adopting the proposed activities under CE principles, construction professionals can enhance the environmental sustainability of construction projects.

Sustainable Procurement (SP) has emerged as a better solution for issues of conventional procurement. The Integrated Project Delivery (IPD) is an innovative procurement system that facilitates easy BIM adoption. It is evident that the establishment of innovative procurement systems such as BIM-based IPD is essential to adopt SP successfully. This study aims to investigate the suitability of sustainable BIM-based IPD for the construction industry. ‘Concurrent Triangulation Mixed Method’ was adopted by steering a questionnaire survey and semi-structured interviews, where statistical and content analyses were used to analyse collected data respectively. Non-probability sampling was used as a sampling technique for both surveys and sample sizes were 125 for questionnaire survey and 10 for semi-structured interviews. 85% response rate was achieved for the questionnaire survey. Accordingly, 96% of BIM-based IPD principles can be contributed to achieving SP, which recommend the suitability of sustainable BIM-based IPD for the construction industry. However, the limitations of the proposed sustainable BIM-based IPD system can be diminished the expected benefits. Henceforth, appropriate strategies for successful implementation of the proposed system were identified to achieve the expected benefits.

Lean construction (LC) is becoming prevalent, and assessment of the level of LC implementation is vital for organizations to realize their full potential. In meeting that need, lean construction maturity models (LCMMs) play a key role. However, there is less evidence of critical reviews in spite of the significant number of LCMMs available. Therefore, this study was initiated with the aim of systematically reviewing the literature on existing lean-construction-related maturity models (MMs) through a critical review. The study adopted the PRISMA method to review 24 such models using manual content analysis. The study revealed the most common attributes among the models, along with their key strengths and weaknesses. The findings of this study can be directly used to develop more robust LCMMs and enhance the knowledge base on theoretical underpinnings. From an industry perspective, the findings assist organizations to more effectively assess LC maturity. The study invites further research on the area of LC maturity and advocates for developing new MMs addressing these areas identified for improvement.

Construction sites constitute major sources of pollutants creating negative impacts on the environment. Sustainable construction aims at mitigating these negative externalities while promoting economic and social outcomes. Dust pollution in construction sites is an invisible hazard, which is often ignored as little more than a nuisance. Although behavioral control is a popular way of preventing dust generation, past research has paid little attention to worker behavior regarding dust mitigation. This study aims to test a model that predicts intentions to alter the conduct of workers towards dust control in construction activities. This study adopted a questionnaire survey design with construction participants in Sri Lanka, using structural equation modelling to test several hypotheses based on the Norm Activation Model. The results proved that awareness of consequences and ascription of responsibility could have a positive impact on personal norms, which in turn could influence the behavior of site employees. The study also provided new insights on employees’ awareness of dust hazards, their sense of responsibility for its control, and the importance of their company. Policymakers and practitioners are recommended to pay more attention to how to harness worker’s support to mitigate dust pollution, and construction companies should initiate educational campaigns to raise awareness about environmental impacts, to influence personal norms of the workers in building sites. This research contributes to the body of knowledge by enhancing our understanding of factors influencing employees’ dust control behavior.

Purpose: The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities. Design/methodology/approach: An exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model. Findings: The study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness. Practical implications: The developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions. Originality/value: Many studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.

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.