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Optimized E-Government User Support Allocation and Its Influence on Citizens’ Adoption of E-Government: An Agent Based Approach

Author

Listed:
  • Shuang Chang

    (Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Kanagawa, Japan)

  • Manabu Ichikawa

    (Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Kanagawa, Japan)

  • Hiroshi Deguchi

    (Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Kanagawa, Japan)

Abstract

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.

Suggested Citation

  • Shuang Chang & Manabu Ichikawa & Hiroshi Deguchi, 2013. "Optimized E-Government User Support Allocation and Its Influence on Citizens’ Adoption of E-Government: An Agent Based Approach," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 4(2), pages 1-15, April.
    • Handle: RePEc:igg:jkss00:v:4:y:2013:i:2:p:1-15
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