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CITIZENS AS CONSUMERS: PROFILING E-GOVERNMENT SERVICES’ USERS IN EGYPT VIA DATA MINING TECHNIQUES

Journal: Journal of Economic and Social Development (JESD) (Vol.1, No. 1)

Publication Date:

Authors : ;

Page : 86-95

Keywords : Consumer profiling; Data mining; E-government services; Egypt; Neural networks;

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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.

Last modified: 2014-11-13 01:03:59