The Age-Divide in E-Government — Data, Interpretations, Theory Fragments

  • Björn Niehaves
  • Jörg Becker
Part of the IFIP – The International Federation for Information Processing book series (IFIPAICT, volume 286)


14 of the world’s 15 ‘oldest’ countries (largest percentage of people age 65 plus) are to be found in Europe. While E-Government is currently establishing as the most important public sector reform strategy in the EU (Lisbon Agenda), age is a factor which strongly affects E-Government usage. Under the label of ‘E-Inclusion’ EU policies seeks to solve also age-related digital divide issues. This paper seeks to explore the age-divide in E-Government and discusses 2006 Eurostat data on online service usage. The case of Germany will be given as example.


Demographic Transition Senior Citizen Digital Divide Public Service Delivery Population Reference Bureau 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Becker et. al.: "E-Inclusion - Digitale Integration durch E-Government", Münster, 2008.Google Scholar
  2. Birg, H.: "Die demographische Zeitenwende. Der Bevölkerungsrückgang in Deutschland und Europa", München, 2005.Google Scholar
  3. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R.: "User Acceptance of Computer Technology - A comparision of two theoretical models", Management Science Vol. 35 No. 8, August 1989, pp. 989-1003.CrossRefGoogle Scholar
  4. European Commission: "eInclusion@EU: Strengthening eInclusion & eAccessibility across Europe. Analytic framework - eInclusion and eAccessibility priority issues", 2004a.Google Scholar
  5. European Commission: "Top of the web. User Satisfaction and Usage Survey of E-Government services", Kopenhagen, 2004b.Google Scholar
  6. European Commission: “Methodological manual for statistics on the Informations Society”. Office for Official Publications of the European Communities, Luxembourg, 2006.Google Scholar
  7. European Union: "Ministerial Declaration - Approved Unanimously on 11 June 2006", Riga, 2006.Google Scholar
  8. Eurostat: “Statistics on households/individuals and the information society”. Eurostat Office. 2007.Google Scholar
  9. Hauser, P., and D. Duncan, D.: "The Study of Population. An Inventory and Appraisal", Chicago, 1959.Google Scholar
  10. Kaufmann, F.: "Schrumpfende Gesellschaft. Vom Bevölkerungsrückgang und seinen Folgen", Frankfurt, 2005.Google Scholar
  11. Kraner, S.: “Bridging the Digital Divide in E-Government.” Zürich 2004.Google Scholar
  12. Morgan, S. and Hagewen, K.: "Fertility", Handbook of Population, D. Poston, and M. Micklin, New York, 2005, pp. 229-249.Google Scholar
  13. Morris, M.G. and Venkatesh, V.: "Age Differences in Technology Adoption Decisions: Implications for a Changing Work Force", Personnel Psychology Vol. 53 No. 2, 2000, pp. 375-403.CrossRefGoogle Scholar
  14. Niehaves, B., Ortbach, K., Becker, J.: “The Demographic Challenge: Aging and Depopulation and their Consequences for E-Government - A Case Study”. Unpublished Manuscript. Muenster (2008) Population Reference Bureau: “World Population Data Sheet”, Washington DC, USA, 2006.Google Scholar
  15. Shirley, A.B.: "E-Government Visual Accessibility for Older Adult Users", Social Science Computer Review Vol. 22 No 1, 2004, pp. 11-23.CrossRefGoogle Scholar
  16. Wimmer, M. A.: Integrated Service Modelling for Online One-Stop Government. Electronic Markets 12 (2002) 149-156CrossRefGoogle Scholar

Copyright information

© International Federation for Information Processing 2008

Authors and Affiliations

  • Björn Niehaves
    • 1
  • Jörg Becker
    • 1
  1. 1.European Research Center for Information SystemsUniversity of MuensterMuensterGermany

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