A Challenging E-journey Along the Silk Road: Lessons Learned from E-governments in China and India

  • Alankar Bandyopadhyay
  • Sahar D. Sattarzadeh
Part of the Integrated Series in Information Systems book series (ISIS, volume 25)


Recent experiments from around the world have offered testimony to the relevance of information and communication technologies (ICTs) in disseminating and simplifying the delivery of government-to-citizen services. Even in developing countries, successful e-government service delivery can, achieve three vital objectives—transparency, accessibility, and development. China and India are the first and second most populous nations in the world, respectively, accounting for over 37% of the world’s total population. Both countries are characterized by urban–rural disparities, income gaps, and inequalities in access of essential services. Toward the goal of bridging these divides in access to the government or its services, ICT opportunities for development are being explored by extensively implementing e-government networks within urban and rural regions. However, both successes and failures are prevalent within their current e-government infrastructures. This chapter probes the question of what determines a project’s success, using Heeks’ “Design-Reality Gap” model and infoDev’s criteria for successful e-government projects. An analysis is attempted of two e-government projects each in China and India. The authors’ analyses are solely based on secondary sources from practitioners, scholars, and governments that were involved with the projects in China or India. This chapter aims to emphasize the necessary role of underlying factors relevant to Indian and Chinese e-governments, such as education, funding, connectivity, leadership, and governmental control. In the absence of these factors, it is expected that success might be elusive.


Central Government Government Employee Madhya Pradesh Land Record District Collector 
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.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.University of MarylandCollege ParkUSA

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