RT Journal Article
T1 Knowledge Transfer and Networks: A Bibliometric Approach Through Performance Analysis, Science mapping, and Dynamic Network Analysis
A1 Ferrer Serrano, Marta
A1 Fuentelsaz, Lucio
A1 Latorre-Martínez, M. Pilar
K1 Knowledge transfer
K1 Networks
K1 Bibliometric analysis
K1 Collaboration
K1 Research agenda
AB 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.
PB Springer
SN 1868-7865
YR 2025
FD 2025
LK https://hdl.handle.net/10347/43048
UL https://hdl.handle.net/10347/43048
LA eng
NO Ferrer-Serrano, M., Fuentelsaz, L. & Latorre-Martínez, M.P. Knowledge Transfer and Networks: A Bibliometric Approach Through Performance Analysis, Science mapping, and Dynamic Network Analysis. J Knowl Econ (2025). https://doi.org/10.1007/s13132-025-02814-6
NO Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We acknowledge financial support from the Spanish Ministry of Economy and Competitiveness and FEDER (project ECO2017-85451-R) the Regional Government of Aragón and European Social Fund (project S64_20R) and the pre-doctoral grant BOAIIU/1408/2018.
DS Minerva
RD 25 abr 2026