  In this study we examined how the size of non-formal groups between
organization members affect the transfer of knowledge in the context of the
efficiency and effectiveness of this process. To analyse the dynamics of the
transfer of knowledge the cellular automata model was used. The model is based
on local interactions between members of the organization, that take place in
the nearest neighbourhood. These groups of close neighbours are represented by
von Neumann's neighbourhood (four nearest-neighbours) and Moore's neighbourhood
(four nearest-neighbours and four next-nearest neighbours) and complex
neighbourhood (four nearest neighbours, four next-nearest neighbours and four
next-next-neighbours). The results of the simulation show the influence of the
size of the neighbourhood on the efficiency of knowledge transfer.
