Understanding Congolese Students' Behavioural Intentions Toward Learning Management Systems: An Extended TAM Approach

Abstract

[EN] This study empirically validates a technology acceptance model (TAM)-based framework for predicting technology adoption, integrating core constructs perceived usefulness (PU), perceived ease of use (PEOU), and social norms (SN) to examine their influence on behavioural intention and actual usage. Using partial least squares structural equation modelling (PLS-SEM), the measurement model demonstrated strong reliability and validity, while the structural model confirmed all hypothesised relationships. PU emerged as the most influential predictor of intention, and behavioural intention fully mediated the link between perceptual antecedents and usage. The model explained 42.3% of the variance in intention and 34.3% in usage, with Q² values confirming substantial predictive relevance. These findings contribute to the literature by reaffirming the centrality of intention in technology adoption and by highlighting the complementary role of social norms in shaping user behaviour. The study offers theoretical and practical insights for designing inclusive digital strategies, particularly in emerging economies.