The research aims to look into how employees' intentions to use digital transformation technologies are affected by their acceptance of these technologies, with a particular emphasis on the moderating effect of education level. The researchers developed and examined a conceptual model grounded on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework by empirically examine the role of education level in influencing employees' intention to use digital transformation technologies. Data was obtained from 401 employees in the four and five-star hotels in the Hurghada and Sharm El Sheikh Cities using a quantitative research technique. The Partial Least Squares Structural Equation Modeling (PLS-SEM) method was used to analyze the collected data. The results show that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly influence employees' intention to use digital transformation technologies. Moreover, the results revealed that education level moderates the effect of performance expectancy and facilitating conditions on employee intention to use digital transformation technologies, but does not significantly moderate the effect of social influence and effort expectancy on intention to use digital transformation technologies. Additionally, the research contributes to filling a knowledge gap and offers practical implications.