FRAMEWORK FOR IMPLEMENTING DECISION TECHNIQUES IN CONSTRUCTION INDUSTRY; CONTRACTOR SELECTION GOVERANCE DECISION TECHNIQUES UNDER RISK-SHARING

Abstract

Qatar's construction sector is growing rapidly and building ambitious infrastructure. Contractor selection is crucial to project success, quality, and cost. Effective decision-making is crucial in Qatar's unpredictable and costly building environment. The approach presented in this abstract improves contractor selection governance in Qatar's construction sector by concentrating on risk-sharing measures. This paradigm promises better project performance, less disagreements, and stakeholder participation. To assesses the current state of knowledge in relation to contractor selection model (Design-Bid Build) and the key factors of particular interest to client organizations in Qatar Contractor selection criteria, decision makers, consultants, clients, and subcontractors are included in the framework development. To achievement the goal of study many of hypotheses were tested titled as how the planning governance decisions will positively impact on the project planning criteria verification and validation decisions as positive relationship, and positively impact by the project bidding contractors' prequalification's criteria, and positively impact contractors' selection decision framework at the project planning phase, also the project contractor selection criteria will positively impact by the project contractors' prequalification governance decision, and fairly positively impacted by the project execution contractor selection risk agreement. Self-report questionnaires were used to collect data from public and private sector organization (clients, consultants, contractors, and others familiar with Qatar building project contractor selection). Only 55 completed questionnaires were the base for computing the results. Several questionnaires completed by those who never had the focus discipline answer, and others non-responses, and the some with a lot of missing data were subtracted from the total sample size, all this type were excluded. A Statistical analysis was performed using SPSS Statistics software (version 21.0). Descriptive frequencies, percentage and graphs were calculated for the variables. Reliability and validity were used to evaluate the internal consistency of the questionnaires, and to achievement the hypotheses of study chi-square test, specially, Somers'd and Kendall's tau-c were used. It had been reached many results such as: the planning governance decisions will fairly positively impact on the project planning criteria verification and validation decisions as positive relationship (d=0.167, tau-test=3.854, p-value=0.000), and weak positively impact by the project bidding contractors' prequalification's criteria (d=0.075, tau-test=2.272, p-value=0.023), and fairly positively impact contractors' selection decision framework at the project planning phase (d=0.125, tau-test=0.604, p-value=0.000), also the project contractor selection criteria will moderate positively impact by the project contractors' prequalification governance decision, (d=0.355, tau-test=6.728, p-value=0.000), and fairly positively impacted by the project execution contractor selection risk agreement (d=0.248, tau-test=5.547, p-value=0.000).