Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation

Abstract

The use of modular construction (MC) is well-established in developed countries and is known to promote sustainability. However, MC is not widely utilised in developing countries. To address this issue, a study was conducted to identify enablers that can increase the adoption of MC in developing countries, specifically for residential projects. A survey was conducted to determine the relative value of 21 enablers that boost the adoption of MC. The data collected was analysed using Exploratory Factor Analysis (EFA), which classified the enablers into four main components: Optimization, Planning and Management, Preparation, and Promotion and Improvement. Then, Fuzzy Synthetic Evaluation (FSE) was employed to rank these four components, where it was found that “Optimization” is the top performing component while “ Promotion and Improvement ” is the least performing component. The study's results provide a roadmap for the Egyptian construction industry to adopt MC, which can improve the construction sector, particularly in residential construction. Additionally, the findings of this research help fill a gap in knowledge about the enablers that can enhance the use of MC in developing countries.