Modelling the diffusion of innovation management theory using S-curves

This paper explores the suitability of using diffusion S-curves to describe and compare the diffusion of citations within the innovation management discipline. There is some debate as to how to extend the existing measures of bibliometrics and modelling instead of indexes is just one option being explored. The ISI Citation data on the ten leading journals in the innovation management field are modelled and compared using a wide range of distributions. The resulting grouping of journals appears to be a useful proxy for academic-practitioner involvement and warrants further investigation. The finding that the three-parameter inverse Gaussian is the best fit to the data extends the understanding of this process.