Review article
CITIZENS AS CONSUMERS: PROFILING E-GOVERNMENT SERVICES’ USERS IN EGYPT VIA DATA MINING TECHNIQUES
Mohamed M. Mostafa
; Gulf University for Science and Technology, West Mishref, Kuwait
Abstract
This study uses data mining techniques to examine the effect of various demographic, cognitive and
psychographic factors on Egyptian citizens’ use of e-government services. Multi-layer perceptron neural
network (MLP), probabilistic neural network (PNN), classification and regression trees (CART), and
multivariate adaptive regression splines (MARS) are compared to a standard statistical method (linear
discriminant analysis (LDA). The variable sets considered are sex, age, educational level, e-government
services perceived usefulness, ease of use, compatibility, subjective norms, trust, civic mindedness, and
attitudes. The study shows how it is possible to identify various dimensions of e-government services
usage behavior by uncovering complex patterns in the dataset, and also shows the classification abilities
of data mining techniques.
Keywords
Consumer profiling; Data mining; E-government services; Egypt; Neural networks
Hrčak ID:
128532
URI
Publication date:
1.3.2014.
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