Abstract

This study aimed to identify factors influencing the digital divide in Brazil. The analysis used data provided by CGI.BR to obtain a different Augmented Naive Bayes network model for each of four variables representing technology adoption: internet use, cell phone use, e-commerce adoption and internet banking adoption. Gender, age, education level, employment status, race, social class, rural / urban areas, region and state were included as independent variables, with social class and education level showing the most influence. The selected factors proved to be quite accurate in identifying the internet use digital divide, while cell phone use, e-commerce adoption and internet banking adoption could not be fully explained, suggesting the need for further studies to identify additional variables influencing the adoption of these technologies.

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