Knowledge Transfer and Networks: A Bibliometric Approach Through Performance Analysis, Science mapping, and Dynamic Network Analysis

Abstract Knowledge transfer has been identified as one of the main drivers of innovation and business success in a knowledge-based economy, and networks represent strategic drivers that can facilitate it. This nascent discipline has attracted scholars’ attention from different perspectives, which led to some disorder in the literature. With the aim of providing a comprehensive overview of the state of the art, this paper conducts a bibliometric analysis of 774 articles published in top business and management journals of the Web of Science from 2000 to 2020. Using VOSviewer and SciMat complementary software, productivity analysis, science mapping, and dynamic network analysis were performed. This study identifies the most influential contributors to the field and presents an evolution of the research area, a description of the thematic clusters, and a research agenda.