A hybrid approach of neural network and memory-based learning to data mining
IEEE Transactions on Neural Networks
Proceedings of the 2nd international conference on Theory and practice of electronic governance
A review of quality dimensions in e-government services
EGOV'06 Proceedings of the 5th international conference on Electronic Government
Hidden negative social effects of poor e-government services design
EGOV'06 Proceedings of the 5th international conference on Electronic Government
Analysing the demand side of e-government: what can we learn from Slovenian users?
EGOV'07 Proceedings of the 6th international conference on Electronic Government
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E-government is defined as an application of IT to government services and it is a global phenomenon and public servants around the world are adopting novel ways to leverage IT to better serve their constituents. In this paper, we proposed a g-CSI model that has two major contributions to overcome the weakness of the existing CSI models that not suitable for the e-government. First, the g-CSI model that measures customer satisfaction for government should have a difference in that for private sectors, and the e-government operates on the Internet environment. We suggest the g-CSI model for e-government suitable to the Internet environment. Next, using a feature weighting and a feature positioning, we can extract the improvement points to enhance the level of customer satisfaction.