EXPLORING THE DRIVERS & BARRIERS TO GREENING THE CONSTRUCTION INDUSTRY IN SRI LANKA

Abstract

1. Introduction The construction sector in Sri Lanka is still very significant to the national economy. GSCM is a revolutionary approach to sourcing that aims to optimize resource efficiency, develop sustainable practices that require process optimization and build a sustainable future. In the Construction Industry, the implementation of GSCM enhances operational performance by promoting product quality, decreasing inventory levels and scrap rates, increasing the number of items delivered on time, and expanding the product line. However, the main identified challenges are limited knowledge and experience, lack of regulatory assistance, financial limitations, and lack of green techniques. Hence, in this study, the main focus is to explore the barriers and drivers to greening the construction industry in SL. 2. Research Methodology The researcher used a quantitative research design to assess the barriers and drivers for implementation in the construction industry in the Colombo district. The researcher was chosen to employ the convenient sampling technique. The sample was 28, as indicated by the Morgan table. Closed-ended and Likert-scale questions were included in the questionnaire to gather information about GSCM practices and their firm’s performance. The data was examined using regression analysis. 3. Findings and Discussion Based on the multiple linear regression analysis, the internal and external drivers are positively influencing the implementation of GSCM. The external and internal barriers are negatively lowering the adoption of the implementation of GSCM. 4. Conclusion and Implications The researcher suggested enhancing GSCM practices in the construction industry by promoting leadership involvement, employee education, IT utilization, regulatory compliance, and optimization. Key recommendations include technology equity, risk management, and recurrent operational planning. Future research should explore other industries, countries, and qualitative data collection methods.