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Leveraging decision‐making tools in capacity building planning: The Indonesian scientific network case

Leveraging decision‐making tools in capacity building planning: The Indonesian scientific network... Abstract The development of investment alternatives for the Government of Indonesia's proposed scientific network forms the background to this case. The goal was to rationalize a structure for developing and sustaining a broad‐based network capable of serving scientists throughout the country, including very remote areas. It became clear that one approach could combine both technological as well as entrepreneurial elements, since the data communications linkages for serving scientists could also be available for private customers. The process of defining and costing out this approach was a textbook example of a bottom‐up analysis, beginning with customer needs and working toward structures to satisfy the needs. The World Bank and the Government of Indonesia are in the process of implementing several features of the recommended system. The proposed approach can ultimately pay for itself through private sector revenues for user services. While the context of the decision is telecommunications, the methodology is appropriate for many decision‐making situations. Samples of actual data and bottom‐line results are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Technology for Development Taylor & Francis

Leveraging decision‐making tools in capacity building planning: The Indonesian scientific network case

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References (6)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1554-0170
eISSN
0268-1102
DOI
10.1080/02681102.1998.9525290
Publisher site
See Article on Publisher Site

Abstract

Abstract The development of investment alternatives for the Government of Indonesia's proposed scientific network forms the background to this case. The goal was to rationalize a structure for developing and sustaining a broad‐based network capable of serving scientists throughout the country, including very remote areas. It became clear that one approach could combine both technological as well as entrepreneurial elements, since the data communications linkages for serving scientists could also be available for private customers. The process of defining and costing out this approach was a textbook example of a bottom‐up analysis, beginning with customer needs and working toward structures to satisfy the needs. The World Bank and the Government of Indonesia are in the process of implementing several features of the recommended system. The proposed approach can ultimately pay for itself through private sector revenues for user services. While the context of the decision is telecommunications, the methodology is appropriate for many decision‐making situations. Samples of actual data and bottom‐line results are discussed.

Journal

Information Technology for Development – Taylor & Francis

Published: Jan 1, 1998

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