ICT Infrastructure Expansion in Sub-Saharan Africa: An Analysis of Six West African Countries from 1995 to 2002

Part of the Integrated Series in Information Systems book series (ISIS, volume 34)


The World Bank, International Monetary Fund, the UN and International Telecommunications Union (ITU) argue that ICT infrastructure and informatization are prerequisites to adequate development in the present era. The ITU has proposed a framework for measuring ICT efficiency and its impact on social development. However, it offered no advice on how to develop, model and implement this proposal. In this chapter, we use data envelopment analysis to address one aspect of the ITU proposal, the measurement of the efficiency of investments in ICT infrastructure development. The study makes two important contributions: (1) It provides a methodology for assessing the efficiency of investments in ICT; (2) it provides insights into the structuring development policies to benefit from effective allocation of scarce resources in developing countries.


Data Envelopment Analysis United Nations Efficiency Score Cellular Telephone Civil Infrastructure 
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.



Material in this chapter previously appeared in: Electronic Journal of Information Systems in Developing Countries 26:5, pp. 1–16.


  1. Akpan P (2000) ‘Africa and the new ICTs: implications for development’. Paper presented at the International Federation for information processing conference, Cape Town, South Africa, May 2000 Google Scholar
  2. Avgerou C (1998) How can IT enable economic growth in developing countries? Inf Technol Dev (8):15–29 Google Scholar
  3. Braga CA et al (2000) The networking revolution: opportunities and challenges for developing countries (working paper). World Bank Group, Washington DC. Retrieved Oct 2000 from
  4. Chen Y, Zhu J (2004) Measuring Information technology’s indirect impact on firm performance. Inf Technol Manage J (5):9–22Google Scholar
  5. Färe R, Grosskopf S, Lovell C (1983) The structure of technical efficiency. Scand J Econ (85):181–190Google Scholar
  6. Landauer T (1995) The trouble with computers, usefulness, usability, and productivity. MIT Press, CambridgeGoogle Scholar
  7. Mwesige PG (2004) Cyber elites: a survey of internet café users in Uganda. Telemat Inf 21(2004):83–101Google Scholar
  8. Shafer S, Byrd T (2000) A framework for measuring the efficiency of organizational investments in information technology using envelopment analysis. Omega: Int J Manage Sci (28):125–141Google Scholar
  9. UNDP (2001) Making new technologies work for human developmentGoogle Scholar
  10. Wang C, Gopal R, Zionts S (1997) Use of data envelopment analysis in assessing information technology impact on firm performance. Ann Oper Res (73):191–213Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of Information Technology and CommunicationsAmerican University of NigeriaYolaNigeria

Personalised recommendations