The Impact of Accepting Digital Transformation Technologies on Employees' Intention to Use: Education Level as a Moderator

Abstract

The research aims to examine 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 examining the education level's role in influencing employees' intention to use digital transformation technologies. Using a quantitative research technique, data was obtained from 401 employees and supervisors in the four and five-star hotels in Hurghada and Sharm El Sheikh Cities. The Partial Least Squares Structural Equation Modeling (PLS-SEM) method was used to analyze the collected data. The results show that performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC) significantly influence employees' intention to use (IU) digital transformation technologies. Moreover, the results revealed that education level moderates the effect of PE and FC on employee intention to use digital transformation technologies, but does not significantly moderate the effect of SI and EE on employee intention to use digital transformation technologies. Additionally, the research contributes to filling a knowledge gap and offers practical implications.