Influence of Artificial Intelligence on Employee Performance in Sharjah City Municipality

Abstract

As cities increasingly adopt digital transformation strategies, Artificial Intelligence (AI) is emerging as a pivotal force in reshaping public sector operations and workforce dynamics. This study investigates the influence of AI on employee performance within Sharjah City Municipality (SCM). Employing a quantitative research design, the study aims to establish the structural relationship between AI component usage factors and their impact on employee performance. Data were collected using a structured questionnaire distributed to SCM employees through a purposive convenience sampling method. A total of 233 valid responses were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS software. The analysis confirmed statistically significant and positive relationships between AI components and employee performance. Notably, the standardized beta coefficient of 0.818 indicates a strong influence of AI integration on performance outcomes. These findings provide valuable insights for SCM in enhancing workforce efficiency by promoting AI awareness, delivering targeted training, integrating AI tools into routine operations, and fostering a culture of continuous innovation and upskilling.