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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Abstract

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:	https://doi.org/10.1016/j.socnet.2015.03.003
Depositing User:	Paola Zappa
Date Deposited:	16 Oct 2019 11:30
Journal or Publication Title:	Social Networks
Publisher:	Elsevier
Refereed:	Yes
URI:	Publisher
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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