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Global structures and local network mechanisms of knowledge-flow networks
by
Cugmas, Marjan
, Žiberna, Aleš
, Škerlavaj, Miha
, Ferligoj, Anuška
in
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/ Business schools
/ Computer and Information Sciences
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/ Economics
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/ Knowledge
/ Knowledge management
/ Leadership
/ Methodology
/ Methods
/ Networks
/ Organizational aspects
/ Physical sciences
/ Questions
/ Research and analysis methods
/ Research facilities
/ Reviews
/ Social aspects
/ Social Sciences
/ Software
2021
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Global structures and local network mechanisms of knowledge-flow networks
by
Cugmas, Marjan
, Žiberna, Aleš
, Škerlavaj, Miha
, Ferligoj, Anuška
in
Alliances
/ Biology and Life Sciences
/ Business networks (Social groups)
/ Business schools
/ Computer and Information Sciences
/ Computer programs
/ Drafting software
/ Economics
/ Editing
/ Evolutionary algorithms
/ Funding
/ Knowledge
/ Knowledge management
/ Leadership
/ Methodology
/ Methods
/ Networks
/ Organizational aspects
/ Physical sciences
/ Questions
/ Research and analysis methods
/ Research facilities
/ Reviews
/ Social aspects
/ Social Sciences
/ Software
2021
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Do you wish to request the book?
Global structures and local network mechanisms of knowledge-flow networks
by
Cugmas, Marjan
, Žiberna, Aleš
, Škerlavaj, Miha
, Ferligoj, Anuška
in
Alliances
/ Biology and Life Sciences
/ Business networks (Social groups)
/ Business schools
/ Computer and Information Sciences
/ Computer programs
/ Drafting software
/ Economics
/ Editing
/ Evolutionary algorithms
/ Funding
/ Knowledge
/ Knowledge management
/ Leadership
/ Methodology
/ Methods
/ Networks
/ Organizational aspects
/ Physical sciences
/ Questions
/ Research and analysis methods
/ Research facilities
/ Reviews
/ Social aspects
/ Social Sciences
/ Software
2021
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Global structures and local network mechanisms of knowledge-flow networks
Journal Article
Global structures and local network mechanisms of knowledge-flow networks
2021
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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