  Charged particles production in the electron-positron, pbarp and pp
collisions in full phase space as well as in the restricted phase space slices,
at high energies are described with predictions from shifted Gompertz
distribution, a model of adoption of innovations. The distribution has been
extensively used in diffusion theory, social networks and forecasting. A
two-component model in which PDF is obtained from the superposition of two
shifted Gompertz distributions has been introduced to improve the fitting of
the experimental distributions by several orders. The two-components correspond
to the two subgroups of a data set, one representing the soft interactions and
the other semi-hard interactions. Mixing is done by appropriately assigning
weights to each subgroup. Our first attempt to analyse the data with shifted
Gompertz distribution has produced extremely good results. It is suggested that
the distribution may be included in the host of distributions more often used
for the multiplicity analyses.
