Publication details

Complex Network Analysis for Knowledge Management and Organizational Intelligence

Authors

DAŇA Josef CAPUTO Francesco RÁČEK Jaroslav

Type Article in Periodical
Magazine / Source Journal of the Knowledge Economy
MU Faculty or unit

Faculty of Informatics

Citation
WWW https://link.springer.com/article/10.1007/s13132-018-0553-x
Doi http://dx.doi.org/10.1007/s13132-018-0553-x
Keywords Social network analysis; Complex networks; Network science; Knowledge management; Knowledge flow; Organizational intelligence
Description The scope and focus of knowledge management has changed multiple times over the last decades, each shift revealing new challenges to management science. Recent change of perspective drawing from systems thinking is suggesting that knowledge is created through interaction between people. Complex network analysis is a rigorous method that can be used for evaluation of interaction patterns between employees. The literature suggests that specific interaction patterns are related to increased knowledge flow, innovativeness and performance. Aim of this paper is to provide an overview of various approaches utilizing the complex network analysis in organizations and present suggestions that might support managerial decision-making processes related to knowledge management and organizational intelligence.