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Global structures and local network mechanisms of knowledge-flow networks
- Source :
- PLoS ONE, PloS one, 23 str. : Ilustr., Vol. 16, iss. 2 (art. 0246660), 2021, COBISS-ID: 2005896, PLoS ONE, Vol 16, Iss 2, p e0246660 (2021), PLOS ONE, vol. 16, no. 2, 2021., PLOS ONE
- Publication Year :
- 2020
-
Abstract
- Understanding the patterns and underlying mechanisms that come into play when employees exchange their knowledge is crucial for their work performance and professional development. Although much is known about the relationship between certain global network properties of knowledge-flow networks and work performance, less is known about the emergence of specific global network structures of knowledge flow. The paper therefore aims to identify a global network structure in blockmodel terms within an empirical knowledge-flow network and discuss whether the selected local network mechanisms are able to drive the network towards the chosen global network structure. Existing studies of knowledge-flow networks are relied on to determine the local network mechanisms. Agent-based modelling shows the selected local network mechanisms are able to drive the network towards the assumed hierarchical global structure. Nasl. z nasl. zaslona. Opis vira z dne 17. 2. 2021. Soavtorji: Anuška Ferligoj, Miha Škerlavaj, Aleš Žiberna. Bibliografija: str. 21-23. Abstract. ARRS, P5 -0168, SI, Družboslovna metodologija, statistika in informatika ARRS, P5-0410, SI, Digitalizacija kot gonilo trajnostnega razvoja posameznika, organizacij in družbe ARRS, SI, Bločno modeliranje večnivojskih in časovnih omrežij
- Subjects :
- Statistical methods
Economics
Social Sciences
Geodesics
Sociology
Psychology
febrile children
Multidisciplinary
febrile children, hospitalization, markers of disease, disease severity
Applied Mathematics
Simulation and Modeling
05 social sciences
Statistics
Local area network
050301 education
Monte Carlo method
Physical sciences
Knowledge
Knowledge Management
Medicine
disease severity
Algorithms
Network Analysis
hospitalization
Network analysis
Research Article
Employment
Computer and Information Sciences
Social Psychology
Science
Geometry
Disease severity
Knowledge flow
0502 economics and business
Global network
udc:616.9
Humans
Sparse Networks
Work Performance
Structure (mathematical logic)
Biology and Life Sciences
Models, Theoretical
Data science
Research and analysis methods
Labor Economics
Mathematical and statistical techniques
markers of disease
0503 education
050203 business & management
udc:331.108
Mathematics
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....e9468d8933820ec1e4c9c3ce3d150518