Title: Cities-benchmarking algorithm: a meta-ranking exercise

Authors: Octavio González; Francisco Javier Carrillo

Addresses: Center for Knowledge Systems, Tecnológico de Monterrey, Monterrey Campus, Eugenio Garza Sada 2501, Sur, Monterrey, N.L., Mexico. ' Center for Knowledge Systems, Tecnológico de Monterrey, Monterrey Campus, Eugenio Garza Sada 2501, Sur, Monterrey, N.L., Mexico

Abstract: The World Capital Institute uses the Most Admired Knowledge Cities (MAKCi) framework to compare cities. This framework considers other capitals than the financial one and allows to evaluate cities as knowledge cities. The MAKCi framework contains specifications about which indicators should be used; nevertheless, the same kind of information is not always available from all the cities. Besides, the data could be non-existent, restricted from public use, or hard to find. For this reason, comparing cities through the MAKCi framework becomes a major challenge. The purpose of this paper is to propose an algorithm to compare cities using reliable and available information for all the cities compared at the evaluation time.

Keywords: public administration; ranking; benchmarking; urban development; Most Admired Knowledge Cities; MAKCi; indicators; knowledge cities; city comparisons; knowledge-based development; government; knowledge assets; capital systems; knowledge-based economy.

DOI: 10.1504/IJKBD.2012.047036

International Journal of Knowledge-Based Development, 2012 Vol.3 No.2, pp.157 - 174

Received: 30 Jan 2012
Accepted: 30 Jan 2012
Published online: 31 Jul 2014 *

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