The impact of artificial intelligence on improving project management efficiency \"An analytical study of the opinions of a sample of engineers working in the Karbala Governorate Projects Department\"

Abstract

The current research aims to identify the impact of artificial intelligence (AI) on improving project management efficiency. This is achieved by assessing the level of AI application, measuring project management efficiency, and analyzing the relationship and impact between the two variables. The research employed a descriptive-analytical approach, utilizing a questionnaire as the primary data collection tool. The study sample consisted of 100 engineers working at the Karbala Governorate Office. Data analysis was conducted using the SPSS statistical software, employing a range of statistical methods including the normality test, Cronbach\'s alpha coefficient, arithmetic means, standard deviations, the t-test, Pearson\'s correlation coefficient, simple linear regression analysis, and the F-test and t-test to measure model significance.
The research results showed a high level of artificial intelligence (AI) application and project management proficiency among the sample group. It also demonstrated a statistically significant positive correlation and influence between AI and project management. In light of these findings, the research recommends expanding the application of AI technologies across all phases of project management, strengthening digital infrastructure, and training engineering and administrative staff in the use of AI tools to enhance organizational performance