AI Adoption among the UAE's Government Servants: An Empirical Model Analysis

HRMARS - This study presents a preliminary validation and reliability assessment of measurement constructs used to examine artificial intelligence (AI) adoption among government servants in the United Arab Emirates (UAE), grounded in the Technology Acceptance Model (TAM) and the Technology–Organization–Environment (TOE) framework. The objective is to evaluate the suitability and internal consistency of the adapted instrument before proceeding to the main study. A pilot test was conducted involving 32 UAE government servants selected through convenience sampling. Data were analysed using the Statistical Package for the Social Sciences (SPSS) version 27.0. Reliability of the constructs was assessed using Cronbach’s alpha, while correlation analysis was performed to provide preliminary evidence of construct relationships and instrument coherence. The results indicate that all constructs achieved Cronbach’s alpha values exceeding the recommended threshold of 0.70, demonstrating satisfactory internal consistency. Correlation findings further suggest acceptable relationships among constructs, supporting the instrument’s preliminary convergent validity without indicating problematic multicollinearity. These findings confirm that the TAM–TOE measurement scales are reliable and appropriate for investigating AI adoption in the UAE public sector context. The study contributes methodologically by establishing an empirically tested instrument for subsequent large-scale data collection and structural modelling, thereby enhancing the robustness of future research on AI adoption within government institutions.