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    Organizational learning across multi-level networks

    Zappa, Paola and Robins, Gerry (2016) Organizational learning across multi-level networks. Social Networks, 44. pp. 295-306. ISSN 0378-8733

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    This paper examines organizational learning through a multilevel network lens. We assess how inter-personal knowledge transfer is sustained by the organizational structure of interunit work-flow ties andby the level of specialism of the connected units.To do this, we apply Multilevel Exponential Random Graph Models on data collected in a multiunitgovernment institution in Italy.Results indicate that our approach allows simplifying and better understanding of organizationallearning. Units are more likely to retain knowledge transfer ties within their boundaries. Unit boundary-spanning tends to occur only when knowledge transfer ties are sustained by hierarchical interunitwork-flow ties.

    Item Type: Article
    Keywords: Multilevel theory of organization; Organizational learning; Knowledge transfer; Boundary spanning; Multilevel Exponential Random Graph; Models;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 11295
    Identification Number:
    Depositing User: Paola Zappa
    Date Deposited: 16 Oct 2019 11:30
    Journal or Publication Title: Social Networks
    Publisher: Elsevier
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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