Title: Analysis of construction supply chain critical success factors: a multi-criteria decision-making approach
Authors: Kenan M.H.D. Kher Sarayji; Sharfuddin Ahmed Khan; Muhammad Shujaat Mubarik
Addresses: Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, Sharjah, United Arab Emirates ' Industrial Systems Engineering, University of Regina, Regina, Saskatchewan, Canada; Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, Sharjah, United Arab Emirates ' College of Business Management, Institute of Business Management (IoBM), Karachi, Pakistan
Abstract: This study analyses the critical success factors (CSFs) of construction supply chain management (CSCM) using a mix-method approach to identify and prioritise the CSFs for CSCM performance. An extensive literature review was conducted to identify the potential CSFs and with the help of experts, 21 relevant CSFs were selected. The analytical hierarchy process (AHP) was employed to prioritise the selected CSFs. Results showed that the top management commitment, information sharing and flow and supply chain finance are highly ranked among all the factors. Research findings will help to minimise resource wastage on less essential things and increase efficiency. This research is unique from several perspectives. Firstly, this study is one of the first studies, which identify CSF of construction supply chain in the context of UAE. Secondly, this study provides several managerial and practical implications to managers to minimise resource wastage on less essential things and increase productivity and efficiency.
Keywords: supply chain management; construction supply chain; critical success factors; multi-criteria decision making; MCDM; analytical hierarchal process; AHP.
DOI: 10.1504/IJISE.2023.135777
International Journal of Industrial and Systems Engineering, 2023 Vol.45 No.4, pp.545 - 561
Received: 12 Jan 2022
Accepted: 09 Apr 2022
Published online: 05 Jan 2024 *