Technological communities and the diffusion of knowledge: a replication and validation

The empirical results from the neural network community study are replicated and validated and demonstrated that industrial researchers, even if they are more commercially oriented than their colleagues in academia, recognise the professional community as a relevant locus of information and knowledge.

Abstract

Abstract In a previous paper, we have argued that technological communities provide a useful level of analysis to examine information and knowledge flows among researchers. Based on an international survey of more than 700 scientists and engineers engaged in the development of neural network technology, the information and knowledge exchange patterns of two important subsets of that particular technological community, i.e. academic researchers and industrial researchers, were explored. The analyses demonstrated that industrial researchers, even if they are more commercially oriented than their colleagues in academia, recognise the professional community as a relevant locus of information and knowledge. An obvious methodological need exists, though, to generalize beyond the neural networks community. This is the aim of the present paper. Based on questionnaire surveys of researchers belonging to two other technological communities, the empirical results from the neural network community study are replicated and, to a large extent, validated.