DAŇA, Josef, Francesco CAPUTO and Jaroslav RÁČEK. Complex Network Analysis for Knowledge Management and Organizational Intelligence. Journal of the Knowledge Economy. Springer US, 2020, vol. 11, No 2, p. 405-424. ISSN 1868-7865. Available from: https://dx.doi.org/10.1007/s13132-018-0553-x.
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Basic information
Original name Complex Network Analysis for Knowledge Management and Organizational Intelligence
Authors DAŇA, Josef (203 Czech Republic, guarantor, belonging to the institution), Francesco CAPUTO (380 Italy) and Jaroslav RÁČEK (203 Czech Republic, belonging to the institution).
Edition Journal of the Knowledge Economy, Springer US, 2020, 1868-7865.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.964
RIV identification code RIV/00216224:14330/20:00114999
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1007/s13132-018-0553-x
UT WoS 000543141400001
Keywords in English Social network analysis; Complex networks; Network science; Knowledge management; Knowledge flow; Organizational intelligence
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 10/5/2021 04:52.
Abstract
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.
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