الفهرس 
IntroductionOnly 14 pages are availabe for public view
 |  | from | 129 |  |  |
| | | from | 129 | | |
Abstract
Construction projects are risker compared to business activities. This is due to the fact that the construction industry contains more risks due to the unique features of construction activities and being long-term projects including complex operations. Several types of risk factors may occur simultaneously and these factors usually lead to cost and project schedule overrun. Therefore, the primary goal of a project leader is to carefully monitor risks and accurately accomplish the tasks associated with any project and this is done by investigating and managing risk factors before they occur. Therefore, the research objectives introduced in this thesis are to identify factors that affect the cost, time, and quality of construction projects in Egypt, and to determine the likelihood of its occurrence in addition to its impact on the cost and time of the project, and to assess the impact of these factors, and then developing a risk assessment model using an artificial neural network using IBM SPSS Statistics 26©. Therefore, the most important risk factors affecting the project have been identified by studying previous research related to construction projects risks in addition to asking experts in the field of construction, then a questionnaire was made that includes these factors to know whether or not they occur and the effect of their occurrence on the cost overrun and the project schedule. By collecting data from various projects and contracting companies in Egypt, an analysis of the collected data was done, and then the data collected was used to develop a risk assessment model by using the neural network using IBM SPSS Statistics 26©. The results showed the most important factors that affect the overall risk of the project and the percentage of their impact.