Explicit knowledge networks and their relationship with productivity in SMEs

Abstract

This study presents a model is presented to evaluate the correlation between the clarification of knowledge and the productivity of companies. The model is based on network science, and on a fuzzy clustering algorithm, and is applied to a sample of 40 Colombian SMEs. The results show that the network measures selected as indicators of the model have a high and significant correlation with productivity and allow companies to be clustered into four performance categories. The implications of the findings are analyzed, as a contribution to overcome the challenge of measuring processes related to knowledge management and future lines of research are proposed based on the limitations of the study.