The MAKCi index: using logistic regression modelling for predicting most admired knowledge cities
by Carlos J. García Meza; M. Alicia Leal Garza
International Journal of Knowledge-Based Development (IJKBD), Vol. 3, No. 1, 2012

Abstract: This study applied logistic regression modelling for the development of a quantitative index for most admired knowledge cities. Drawing on the MAKCi framework and the theoretical model of the generic capitals system, a MAKCi index was defined as the probability a city has of being selected as the most admired knowledge city. The resulting logistic regression model was satisfactorily tested for validity, and it was utilised for evaluating and ranking cities.

Online publication date: Thu, 31-Jul-2014

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