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dc.contributor.authorPiercy, Cameron W.
dc.contributor.authorCarr, Caleb T.
dc.identifier.citationPiercy CW, Carr CT. The Structuration of Identification on Organizational Members’ Social Media. International Journal of Business Communication. September 2020. doi:10.1177/2329488420955215en_US
dc.description.abstractThe structurational model of identification is applied to test structures that may lead to sharing organizational membership on social media and increased organizational identification. We propose and test how antecedents (e.g., social media use, organizational prestige) relate to acts of identification on social media and promote organizational identification. United States working adults (N = 303) responded to an online survey about hypothesized motivational structures, online disclosures of organizational affiliation, and organizational identification. Results show three specific structures significantly predicted one’s willingness to share her or his organizational affiliation across social media: personae overlap, social media use, and organizational prestige. Commitment and turnover intentions were, surprisingly, not direct predictors of organizational affiliation disclosure. Implications for individuals, organizations, and both organizational and computer-mediated theory are presented.en_US
dc.publisherSAGE Publicationsen_US
dc.rightsCopyright © 2020, © SAGE Publicationsen_US
dc.subjectOnline identificationen_US
dc.subjectSocial networking sitesen_US
dc.subjectIdentity managementen_US
dc.titleThe Structuration of Identification on Organizational Members’ Social Mediaen_US
kusw.kuauthorPiercy, Cameron W.
kusw.kudepartmentCommunication Studiesen_US
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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Copyright © 2020, © SAGE Publications
Except where otherwise noted, this item's license is described as: Copyright © 2020, © SAGE Publications