Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization

Miha Škerlavaj, Vlado Dimovski, Kevin C. Desouza

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

This paper employs the network perspective to study patterns and structures of intra-organizational learning networks. The theoretical background draws from cognitive theories, theories of homophily and proximity, theories of social exchange, the theory of generalized exchange, small-worlds theory, and social process theory. The levels of analysis applied are actor, dyadic, triadic, and global. Confirmatory social network analysis (exponential random graph modeling) was employed for data analysis. Findings suggest: (1) central actors in the learning network are experienced and hold senior positions in the organizational hierarchy; (2) evidence of homophily (in terms of gender, tenure, and hierarchical level relations) and proximity (in terms of geographical and departmental distances) in learning relationships; (3) learning relationships are non-reciprocal; and (4) transitivity and high local clustering with sparse inter-cluster ties are significant for intra-organizational learning networks.

Original languageEnglish (US)
Pages (from-to)189-204
Number of pages16
JournalJournal of Information Technology
Volume25
Issue number2
DOIs
StatePublished - Jun 2010
Externally publishedYes

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learning organization
Electric network analysis
organization
learning
cognitive theory
network analysis
social process
social network
data analysis
Organizational learning
Learning networks
gender
evidence
Homophily
Proximity
Relationship learning

Keywords

  • centrality
  • homophily and proximity
  • organizational learning
  • reciprocity
  • social network analysis
  • transitivity

ASJC Scopus subject areas

  • Library and Information Sciences
  • Information Systems
  • Strategy and Management

Cite this

Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization. / Škerlavaj, Miha; Dimovski, Vlado; Desouza, Kevin C.

In: Journal of Information Technology, Vol. 25, No. 2, 06.2010, p. 189-204.

Research output: Contribution to journalArticle

Škerlavaj, Miha ; Dimovski, Vlado ; Desouza, Kevin C. / Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization. In: Journal of Information Technology. 2010 ; Vol. 25, No. 2. pp. 189-204.
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