Application of decision support tool in design-build projects: A quasi-experiment with novice decision makers

Lee, Zheng Ping and Abdul Rahimi, Abdul Rahman and Doh, Shu Ing (2022) Application of decision support tool in design-build projects: A quasi-experiment with novice decision makers. Built Environment Project and Asset Management, ahead-of-pri. pp. 1-19. ISSN 2044-124X. (Published)

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Purpose: Design-Build (DB) is known as the alternative for Design-Bid-Build in the Malaysian construction industry. For DB projects, it is critical to adopt effective decision support tool to ensure the execution of a systematic decision-making technique. This study aimed to examine the impact of a decision support tool for novice decision makers to reject or adopt DB for their construction projects. Design/methodology/approach: Literature review and qualitative input from experts identified several key-selection factors pertaining to critical success factors and design-build drivers. This resulted in the development of Decision Support Tool for Design-Build (DST-DB). A quasi-experiment, which involved 382 novice decision makers in the construction industry, was conducted to test the DST-DB quantitatively. The participants were required to compare two construction projects using DST-DB and traditional decision-making methods. Multivariate analysis was performed to analyse all collected data. Findings: The quasi-experiment data suggests that DST-DB enables significantly higher usability, likelihood, precision, confidence and satisfaction rate when compared to the traditional decision-making process. The pre- and post-surveys indicated that the DST-DB is effective in improving decision-making performance through selection factors of client-briefing, maximised resources and sharing expertise. The participants also agreed that DST-DB is easy to use and helps them to gain better understanding of the decision-making process for construction projects. Originality/value: This research contributes to the existing body of knowledge through the impact of DST on the decisions of novices. The novice decision makers found that DST-DB is practically adaptable and comparatively effective for decision-making process than traditional decision-making methods. This contributes to the practical application of construction companies to provide DST-DB training to the fresh graduate employees to enhance their competencies in the decision-making process.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Construction; Decision-making; Design-build; Multivariate analysis; Project management
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Institute of Postgraduate Studies
College of Engineering
Faculty of Civil Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 14 Apr 2022 03:50
Last Modified: 14 Apr 2022 03:50
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