Article type – Research paper
Corresponding author info
Corresponding Author:Dijana Kovačević, University of Montenegro, Faculty of Economics, Jovana
Tomaševića 37, 81000 Podgorica, Montenegro
Email: dijana.kovacevic@ucg.ac.me
Article title
Full: Internet usage patterns and gender differences: a decision tree
approach
Short: Internet usage by genders
AuthorsSocial Sciences
University of Montenegro, Faculty of Economics, Podgorica, MNE
University of Montenegro, Faculty of Economics, Podgorica, MNE
Abstract
The aim of this paper is to examine Internet usage patterns by gender
differences in relation to the four criteria – demographic profile,
internet access, internet usage patterns and internet tasks. We examined
the individual and interactive influence of these factors on
gender-specific differences. In accordance with this goal, a decision
tree (DT) method is used in this paper. An online survey involved 1147
respondents. The obtained results showed that gender differences existed
for all observed criteria. Our results indicate that women are generally
more frequently messaging oriented; they use mobile platforms more than
men, and use the Internet most for communication, travel and education.
Men prefer and more frequently engage in download and leisure
activities. This study contributes to the better understanding of online
behaviour as related to gender differences and confirms that the DT
model can be efficiently used to identify these differences.
Keywords
gender differences, decision tree, internet access, internet usage,
internet tasks
Word counts (excluding references) - 9829