The Impact of Using Artificial Intelligence on Improving Project Performance: A field Study in the Western Sector of the Saudi Electricity Company

Abstract

Objectives: This study aimed to explore the impact of integrating artificial intelligence (AI) tools on project performance in the Western Sector of the Saudi Electricity Company. It is achieved by analyzing the effect of AI on key project performance dimensions, including project timing, cost, and quality, to enhance project management efficiency and overall performance. 

Methodology: A descriptive-analytical approach was employed, appropriate for the study’s objectives. The study population consisted of experienced technical and administrative staff at the Western Sector of the Saudi Electricity Company. Data were collected via an online questionnaire distributed to a sample of 78 project managers, engineers, and specialists. Linear regression analysis was used to test the study hypotheses and measure the impact of AI integration on project performance dimensions. 

Results: The findings indicated a statistically significant positive effect of AI integration on overall project performance. Specifically, AI tools were found to significantly improve project timelines, reduce costs, and enhance the quality of project deliverables. 

Conclusion: The study underscores the importance of adopting AI technologies and applications in project management at the Western Sector of the Saudi Electricity Company. It also highlights the need for specialized training programs and investment in technological infrastructure to enhance performance efficiency and achieve excellence in project management.