Moderation Effect of Artificial Intelligent (AI) on the Relationship Between Innovation in Information and Communication Technology (ICT) and Job Performance

Abstract

Despite significant investments by the Abu Dhabi Police Department in ICT technology, the effectiveness of these applications in enhancing job performance and operational efficiency remains uncertain. This study aims to analyze the influence of ICT adoption attributes on ICT innovation and its impact on job performance, with AI as a moderating factor. A conceptual model was developed from the literature and empirically tested using questionnaire data from 338 Abu Dhabi Police traffic department employees. SmartPLS software was employed for structural equation modelling (SEM) using the partial least squares (PLS) approach, chosen for its effectiveness in theory development. The analysis involved both measurement and structural assessments to ensure model fitness, followed by hypothesis testing and predictive relevance evaluation. The findings indicate that, except for trialability, all attributes for enhancing ICT usage significantly influence ICT innovation adoption. Likewise, all attributes, except for trialability, indirectly impact job performance through ICT innovation adoption. Additionally, AI was found to have a slight negative moderating effect on the relationship between ICT innovation adoption and job performance. This study highlights the critical role of ICT innovation attributes and AI moderation in optimizing job performance and operational efficiency within the police force.