The management of construction projects needs to complete the basics of system management and work. Starting from the idea and how to turn it into a full study and ended at the construction project completion arriving at the purpose prepared for it, so the projects need to control on its operation and integration system in order to succeed. It is no secret for who concerned in construction projects field that the design stage is a very important stage in construction project because it determines the final features of the project through the requirements provided by the employer for the consultant to formulate it during this phase in the form of plans, drawings, and specifications, then translated on the ground as the shape of completed project meets those requirements. Therefore it has been necessary to focus in this paper on the design stage also demonstrated and analysis the most important risk facing this stage and their impact on a construction project by introducing a questionnaire to identify the most important risks factors at this stage affecting on the project. The paper had been shown that the effect of the design stage on Lump sum type of project contract was higher than the unit price, while the most important factor effect on a project its fast response of design team to prepare the design documents in order to facilitate the workflow and sequence of execution with effect level 3.714.  

No abstract

Integrated Project Delivery (IPD) is an approach to project delivery that aims to form a collaborative effort between project parties so that optimal construction is achieved by reducing costs and positively improving production. It is distinguished by a multilateral contractual agreement that typically allows risks and rewards to be shared among project stakeholders. This paper aims to explore the distinctive features of the IPD through statistically significant performance differences between IPD and traditional project delivery systems TPD. Data were collected to measure the quantitative performance of 20 projects for the period between (2010–2022) with detailed interviews of experts and the parties to those projects. Univariate data analyzes, such as T-test and one-way ANOVA, were performed to assess IPD performance. According to the statistical significance of 15 performance standards, improvements in project performance have been achieved through the application of IPD. This study showed acceptance of the assumption of homogeneity of variance and normal distribution since the value of the mean square error test is 0.306 and the level of significance is 0.051, which is greater than 0.05. The study also showed that the best alternative to analysis of variance if has a difference in the means is the use of non-parametric statistics. This study presents a significant contribution to improving the quality of project work and controlling cost and time by following IPD compared to other traditional project delivery systems. These results will provide evidence for project decision makers to follow the appropriate delivery method for Iraqi construction projects.