کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1025683 | 1483212 | 2013 | 15 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques](/preview/png/1025683.png)
• Factors influencing e-government services’ usage in Egypt were investigated.
• Technology acceptance model served as the theoretical model of the study.
• Results allow government to develop strategies for e-government systems implementation.
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. Data mining uses a broad family of computationally intensive methods that include decision trees, neural networks, rule induction, machine learning and graphic visualization. Three artificial neural network models (multi-layer perceptron neural network [MLP], probabilistic neural network [PNN] and self-organizing maps neural network [SOM]) and three machine learning techniques (classification and regression trees [CART], multivariate adaptive regression splines [MARS], and support vector machines [SVM]) 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.
Journal: International Journal of Information Management - Volume 33, Issue 4, August 2013, Pages 627–641