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The impact of socio-economic and demographic factors on the individual use of e-commerce in Brazil: evidence of the digital divide

Gabriel Nery da Silva et al.

International Journal of Business Information Systems2026https://doi.org/10.1504/ijbis.2026.152204article
AJG 1ABDC C
Weight
0.50

What the paper says

E-commerce plays a vital role in the Brazilian economy and people's lifestyles. To support e-commerce, it is essential to understand the Brazilian internet-user consumers' characteristics and identify barriers to e-commerce access. Here, we investigated socio-economic and demographic factors correlated with the individual use of e-commerce in Brazil. We developed three logit models to investigate such correlations using a sample from the national survey on ICT use. The results suggest that gender, age, ethnicity, education, income, and area of residence are significantly correlated with the individual use of e-commerce. Overall, the results clearly show that socio-economic attributes are the weightiest factor associated with purchasing online. By comparing our findings with previous studies, we believe that nationality and culture moderate the relationship between gender and online shopping. Finally, the results suggest that the access to technology and digital applications is still disproportional in Brazil, which indicates some degree of digital divide.

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https://doi.org/https://doi.org/10.1504/ijbis.2026.152204

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@article{gabriel2026,
  title        = {{The impact of socio-economic and demographic factors on the individual use of e-commerce in Brazil: evidence of the digital divide}},
  author       = {Gabriel Nery da Silva et al.},
  journal      = {International Journal of Business Information Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijbis.2026.152204},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.