Improving Construction Labour Productivity on Building Construction Projects: A Comprehensive Review

The future outcome of this study is expected to provide a more systematic and measurable understanding of labour productivity in building construction projects. By using statistical techniques such as correlation, regression analysis, and hypothesis testing, future research can determine the actual influence of individual productivity factors on project time, cost, quality, and overall performance. The study can also help construction managers identify critical factors such as worker skills, absenteeism, fatigue, supervision, material availability, equipment efficiency, safety, and communication that require greater attention. The integration of modern technologies such as Artificial Intelligence, Internet of Things, Building Information Modelling, automation, and digital project management tools may further improve productivity monitoring and decision-making. Future studies can develop productivity prediction models and practical performance indicators that can be applied directly at construction sites. Comparative studies across residential, commercial, and infrastructure projects may also provide a broader understanding of how productivity varies according to project conditions. In addition, greater emphasis on worker training, welfare, safety measures, and incentive systems can contribute to improved workforce performance. The findings may also support the development of standardized productivity measurement frameworks that can be used by construction organizations to regularly assess and improve workforce performance. Real-time monitoring of productivity using digital technologies can help managers identify performance gaps at an early stage and take appropriate corrective actions. Furthermore, the study may contribute to better workforce planning by helping organizations allocate skilled labour, materials, equipment, and other resources more efficiently. The collected data can also serve as a valuable reference for future researchers and construction professionals in developing industry-specific productivity benchmarks. Overall, the expected outcomes include reduced construction delays, better resource utilization, improved cost and time control, enhanced work quality, and more effective management of construction projects.

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