Go/No-Go Decision Model for Owners Using Exhaustive CHAID and QUEST Decision Tree Algorithms

Go/no-go execution decisions are one of the most important strategic for owners during early stages construction projects. Restructuring process decision-making these may have sustainable results in long run. The purpose this paper is to establish proper go/no-go decision-tree models owners. were developed using Exhaustive Chi-square Automatic Interaction Detector (Exhaustive CHAID) and Quick, Unbiased, Efficient Statistical Tree (QUEST) algorithms. Twenty-three key factors collected through an extensive literature review. These divided into four main risk categories: organizational, project/technical, legal, financial/economic. In a questionnaire distributed among professionals, variables asked be ranked according their perceived significance. Split-sample validation was applied testing measuring accuracy CHAID QUEST models. Moreover, Spearman’s rank correlation analysis variance (ANOVA) tests employed identify statistical features 100 responses received. result study benchmarks current assessment develops simple user-friendly decision model expected evaluate anticipated project reduce level uncertainty. validated by case study. This contributes body knowledge identifying that biggest effect on owner’s introducing first time, best authors’ knowledge. From “sustainability” viewpoint, significant since owner, based rigorous model, will yield efficient