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dc.contributor.authorZappa, P
dc.contributor.authorLomi, A
dc.date.accessioned2019-03-15T11:09:50Z
dc.date.issued2015-04-23
dc.description.abstractStudies of social networks in organizations confront analytical challenges posed by the multilevel effects of hierarchical relations between organizational subunits on the presence or absence of informal network relations among organizational members. Conventional multilevel models may be usefully adopted to control for generic forms of non-independence between tie variables defined at multiple levels of analysis. Such models, however, are unable to identify the specific multilevel dependence mechanisms generating the observed network data. This is the basic difference between multilevel analysis of networks and the analysis of multilevel networks. The aim of this article is to show how recently derived multilevel exponential random graph models (MERGMs) may be specified and estimated to address the problems posed by the analysis of multilevel networks in organizations. We illustrate our methodological proposal using data on hierarchical subordination and informal communication relations between top managers in a multiunit industrial group. We discuss the implications of our results in the broader context of current theories of organizations as connected multilevel systems.en_GB
dc.description.sponsorshipSwiss National Science Foundation (SNSF)en_GB
dc.identifier.citationVol. 18, pp. 542 - 569en_GB
dc.identifier.doi10.1177/1094428115579225
dc.identifier.grantnumberCRSII1_147666en_GB
dc.identifier.urihttp://hdl.handle.net/10871/36492
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.rights©The Author(s) 2015. Users who receive access to an article through a repository are reminded that the article is protected by copyright. Users may download and save a local copy of an article accessed in an institutional repository for the user's personal reference. For permission to reuse an article, please contact the publisher.en_GB
dc.subjectMultilevel Exponential Random Graph Modelsen_GB
dc.subjectMultilevel Modelsen_GB
dc.subjectMultilevel Networksen_GB
dc.subjectOrganizational networksen_GB
dc.subjectSocial Networksen_GB
dc.titleThe analysis of multilevel networks in organizations: models and empirical testsen_GB
dc.typeArticleen_GB
dc.date.available2019-03-15T11:09:50Z
dc.identifier.issn1094-4281
dc.descriptionThis is the author accepted manuscript. The final version is available from the publisher via the DOI in this recorden_GB
dc.identifier.journalOrganizational Research Methodsen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2015-04-23
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2015-04-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-03-15T11:01:32Z
refterms.versionFCDAM
refterms.dateFOA2019-03-15T11:09:52Z
refterms.panelCen_GB


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