Agostinho Dos Santos Goncalves, Sebastiao Pereira, Jacinto De Olivera Junior, Saida Ulfa
This study examines the determinants of behavioral intention (BI) to use Generative Artificial Intelligence among university academic staff in Timor-Leste, with particular emphasis on AI Acceptance Trust (AIT), Behavioral Intention (BI), and selected demographic variables, namely gender and tenure. Grounded in the Technology Acceptance Model (TAM). A quantitative methodology, employing survey data analyzed through Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used in this study. The results show that AIT has a strong and statistically significant positive influence on BI, making it the main factor driving the adoption of Generative AI technologies. However, gender and tenure demonstrated no significant effect to either AIT or BI. © 2026 IEEE.
Instituto Superior Cristal, Faculty of Teacher Training and Education, Dili, Timor-Leste; State University of Malang, Faculty of Education, Educational Technology Department, Malang, Indonesia
