Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)

This paper uses the Technology Acceptance Model (Davis, 1989) to predict SMS usage amongst university students who form the biggest user of this service.TAM proposes that two constructs ie; perceived ease of use and perceived usefulness will influence the acceptance of a technology. Data was collected from 90 students from a public university with the use of a structured self-administered questionnaire. The findings of the study indicate that both perceived ease of use (β=0.191, p<0.05) and perceived usefulness (β=0.276, p