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

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 cou...

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Main Authors: Ali Hassan Ali, Ahmed Farouk Kineber, Thikryat Jibril Obied Qaralleh, Naif Sultan Alaboud, Ahmed Osama Daoud
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823006087
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author Ali Hassan Ali
Ahmed Farouk Kineber
Thikryat Jibril Obied Qaralleh
Naif Sultan Alaboud
Ahmed Osama Daoud
author_facet Ali Hassan Ali
Ahmed Farouk Kineber
Thikryat Jibril Obied Qaralleh
Naif Sultan Alaboud
Ahmed Osama Daoud
author_sort Ali Hassan Ali
collection DOAJ
description 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.
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spelling doaj.art-c925ba79731c484b8315028e767c39992023-08-26T04:42:52ZengElsevierAlexandria Engineering Journal1110-01682023-09-01784555Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluationAli Hassan Ali0Ahmed Farouk Kineber1Thikryat Jibril Obied Qaralleh2Naif Sultan Alaboud3Ahmed Osama Daoud4Department of Civil Engineering, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City, Cairo 11837, Egypt; Corresponding authors.Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; Department of Civil Engineering, Canadian Higher Engineering Institute, Canadian International College, 6th October City 12577, EgyptCollege of Education, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi ArabiaDepartment of Islamic Architecture, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi ArabiaDepartment of Civil Engineering, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City, Cairo 11837, Egypt; Corresponding authors.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.http://www.sciencedirect.com/science/article/pii/S1110016823006087Developing CountriesModular ConstructionEnablersExploratory Factor AnalysisFuzzy Synthetic Evaluation
spellingShingle Ali Hassan Ali
Ahmed Farouk Kineber
Thikryat Jibril Obied Qaralleh
Naif Sultan Alaboud
Ahmed Osama Daoud
Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation
Alexandria Engineering Journal
Developing Countries
Modular Construction
Enablers
Exploratory Factor Analysis
Fuzzy Synthetic Evaluation
title Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation
title_full Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation
title_fullStr Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation
title_full_unstemmed Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation
title_short Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation
title_sort classifying and evaluating enablers influencing modular construction utilization in the construction sector a fuzzy synthetic evaluation
topic Developing Countries
Modular Construction
Enablers
Exploratory Factor Analysis
Fuzzy Synthetic Evaluation
url http://www.sciencedirect.com/science/article/pii/S1110016823006087
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