Understanding the structures, antecedents and outcomes of organisational learning and knowledge transfer: a multi-theoretical and multilevel network analysis

Chunke Su*, Meikuan Huang, Noshir Contractor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

The goal of this study was to develop a multi-theoretical and multilevel model to study organisational learning and knowledge transfer. We employed a social network approach to theorise and empirically test the structures, antecedents and outcomes of intra-organisational information retrieval and allocation. Data were collected from 110 individuals across nine work teams, and analysed using Exponential Random Graph Modelling (ERGM) technique. The results found a multiplexity and reciprocity of team members’ information retrieval and allocation, as well as a predominant centralised structure of information retrieval. Furthermore, there was a tendency for members to retrieve and allocate information across job positions. Finally, members were more satisfied with their team work when proactively retrieving information from others than when receiving unsolicited information allocated from others. This study has important theoretical and practical implications for understanding and managing organisational knowledge and learning networks.

Original languageEnglish (US)
Pages (from-to)576-601
Number of pages26
JournalEuropean Journal of International Management
Volume4
Issue number6
DOIs
StatePublished - Jan 1 2010

Keywords

  • ERGM analysis
  • information allocation
  • information retrieval
  • knowledge transfer
  • organisational learning

ASJC Scopus subject areas

  • Business and International Management
  • Education
  • Organizational Behavior and Human Resource Management

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