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Policy makers’ perceptions on the transformational effect of Web 2.0 technologies on public services delivery

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  • Manuel Pedro Rodríguez Bolívar

    (University of Granada)

Abstract

The growing participation in social networking sites is altering the nature of social relations and changing the nature of political and public dialogue. This paper contributes to the current debate on Web 2.0 technologies and their implications for local governance, identifying the perceptions of policy makers on the use of Web 2.0 in providing public services and on the changing roles that could arise from the resulting interaction between local governments and their stakeholders. The results obtained suggest that policy makers are willing to implement Web 2.0 technologies in providing public services, but preferably under the Bureaucratic model framework, thus retaining a leading role in this implementation. The learning curve of local governments in the use of Web 2.0 technologies is a factor that could influence policy makers’ perceptions. In this respect, many research gaps are identified and further study of the question is recommended.

Suggested Citation

  • Manuel Pedro Rodríguez Bolívar, 2017. "Policy makers’ perceptions on the transformational effect of Web 2.0 technologies on public services delivery," Electronic Commerce Research, Springer, vol. 17(2), pages 227-254, June.
  • Handle: RePEc:spr:elcore:v:17:y:2017:i:2:d:10.1007_s10660-015-9196-1
    DOI: 10.1007/s10660-015-9196-1
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    1. Tisha Emerson & Stephen Conroy & Charles Stanley, 2007. "Ethical Attitudes of Accountants: Recent Evidence from a Practitioners’ Survey," Journal of Business Ethics, Springer, vol. 71(1), pages 73-87, March.
    2. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    3. Rebecca MacKinnon, 2008. "Flatter world and thicker walls? Blogs, censorship and civic discourse in China," Public Choice, Springer, vol. 134(1), pages 31-46, January.
    4. Johan Christiaens, 1999. "Financial accounting reform in Flemish municipalities: an empirical study of implementation and annual financial reports," European Accounting Review, Taylor & Francis Journals, vol. 8(4), pages 803-804.
    5. Plaza, Malgorzata & Ngwenyama, Ojelanki K. & Rohlf, Katrin, 2010. "A comparative analysis of learning curves: Implications for new technology implementation management," European Journal of Operational Research, Elsevier, vol. 200(2), pages 518-528, January.
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