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North in the South: Comparative Analysis of Information Technology Infrastructure in International vs. National Research Organiza
Adekunle Okunoye, North in the South: Comparative Analysis of Information Technology Infrastructure in International vs. National Research Organiza. In: P. Palvia, S. Ponnappa (Eds.), Proceedings of the Third Annual Global Information Technology Management World Conference, 140-143, Global Information Technology Management Association, 2002.
Abstract:
This paper examines the imbalances in the availability and usage of information technology infrastructure between the international and national research organisations in sub-Saharan Africa. While the national research organisations depend on the provision of the national government, the resources of the international organisations enable them to provide adequate infrastructure to meet their needs and even sustain it without being much affected by the local operating environment’s factors. In the organisations studied, the imbalances could be broadly attributed to differences in funding, management and technical expertise, exposure and awareness to available technologies, training, and other national infrastructures like electricity, transportation, or banking. To reduce these imbalances, the national governments should provide adequate funds for building sustainable IT infrastructure in their national organisations even when it may not be feasible to build it nationally. The national organisations should study how the international organisations have been able to provide and manage their own infrastructure despite the odds in their environment.
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BibTeX entry:
@INPROCEEDINGS{pOkunoye02b,
title = { North in the South: Comparative Analysis of Information Technology Infrastructure in International vs. National Research Organiza},
booktitle = {Proceedings of the Third Annual Global Information Technology Management World Conference},
author = {Okunoye, Adekunle},
editor = {Palvia, P. and Ponnappa, S.},
publisher = {Global Information Technology Management Association},
pages = {140-143},
year = {2002},
}
Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory