Cities-benchmarking algorithm: a meta-ranking exercise Online publication date: Thu, 31-Jul-2014
by Octavio González; Francisco Javier Carrillo
International Journal of Knowledge-Based Development (IJKBD), Vol. 3, No. 2, 2012
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge-Based Development (IJKBD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com