Metacapitalism: The E-Business Revolution and the Design of 21st-Century Companies and Markets
Metacapitalism: The E-Business Revolution and the Design of 21st-Century Companies and Markets
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Disrupting digital library development with scenario informed design
Interacting with Computers
Electronic Commerce Research and Applications
Information Sciences: an International Journal
Information systems in the public sector: The e-Government enactment framework
The Journal of Strategic Information Systems
jMetal: A Java framework for multi-objective optimization
Advances in Engineering Software
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In recent decades, E-government systems have been developed and deployed to provide more efficient, effective and transparent public services. However the citizen adoption rate is still relatively low. In order to encourage more citizens to utilize E-government services, there are many kinds of user support provided, though the effectiveness might vary among different social groups. Due to limited resources, if the authors allocate more resources to social groups who are not favoured by E-government service, it is very possible that in turn other social groups will not be satisfied and thus further influences the adoption rate. Therefore how to allocate the limited resources in an optimized way such that all the social groups are satisfied is a challenging and meaningful research problem. In this work they aim at resolving those conflicted objectives and achieving a Pareto optimal allocation of the resources among different social groups by using agent based approach with multi-objective genetic algorithm.