READY OR RESISTANT? EXAMINING SAUDI GOVERNMENT EMPLOYEE WILLINGNESS TO EMBRACE AI THROUGH THE UTAUT2 LENS

Abstract

Abstract: This research examines the adoption of AI technologies among Saudi government employees using an extended Unified Theory of Acceptance and Use of Technology (UTAUT2) framework. The adapted model includes variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and personal innovativeness. Analysis of data from 117 respondents was conducted using Structural Equation Modeling (SEM) via SmartPLS 4.0. Contrary to traditional findings, results indicate that original UTAUT2 factors (performance expectancy, effort expectancy, social influence, and facilitating conditions) do not significantly influence AI adoption in this group. Instead, personal innovativeness stands out as a significant factor. This study enriches the public sector innovation literature by challenging existing UTAUT2 assumptions and underscoring the critical role of individual innovativeness in the uptake of AI technologies. Moreover, this research sets a foundation for further investigation into the effects of contextual and cultural nuances on technology adoption within the evolving landscape of AI.