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Inter-organisational knowledge transfer in social networks: A definition of intermediate ties

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  • Silke Retzer

    (Victoria University of Wellington)

  • Pak Yoong

    (Victoria University of Wellington)

  • Val Hooper

    (Victoria University of Wellington)

Abstract

A social network perspective helps identify and analyse informal knowledge transfer among people and organisations with the aim to recommend organisational interventions and improvements, for example in the form of Information and Communication Technology (ICT) support. This paper particularly focuses on a key concept of social network analysis (SNA), the concept of tie strength, in an inter-organisational knowledge transfer context. Tie strength describes the strength of a social relationship. In the past, SNA literature with a knowledge management context has often emphasized the importance of strong and/or weak ties rather than of intermediate (medium strong) ties in a social network. Nevertheless, in this study, intermediate ties are identified as the dominant links among key groups of organisation in a social network. Intermediate ties also help connect otherwise weakly linked organisations. Moreover, a definition of intermediate ties in the context of knowledge management is introduced. With the help of cluster analysis and an investigation into the levels of reciprocity, intermediate ties can be clearly defined in a social network. Due to their importance for knowledge transfer in a social network, intermediate ties should be primarily supported, for example by appropriate ICT.

Suggested Citation

  • Silke Retzer & Pak Yoong & Val Hooper, 2012. "Inter-organisational knowledge transfer in social networks: A definition of intermediate ties," Information Systems Frontiers, Springer, vol. 14(2), pages 343-361, April.
  • Handle: RePEc:spr:infosf:v:14:y:2012:i:2:d:10.1007_s10796-010-9250-4
    DOI: 10.1007/s10796-010-9250-4
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    References listed on IDEAS

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    Cited by:

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    6. Jorge Martinez-Gil & José F. Aldana-Montes, 2013. "Semantic similarity measurement using historical google search patterns," Information Systems Frontiers, Springer, vol. 15(3), pages 399-410, July.

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