The MAKCi index: using logistic regression modelling for predicting most admired knowledge cities
Carlos J. Garcí, Amalia Margarita Meza, M. Alicia Leal Garza · International Journal of Knowledge-Based Development · 2012
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.