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Conference Paper: Social network privacy dispositions: An objective measurement scale and a causal model

TitleSocial network privacy dispositions: An objective measurement scale and a causal model
Authors
KeywordsSocial network privacy dispositions
Logging autonomy
Mobile apps
Peer usage
Issue Date2016
PublisherAssociation for Information Systems. The Journal's web site is located at https://aisel.aisnet.org/pacis/
Citation
Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, 2016 How to Cite?
AbstractThe Information Systems literature has substantially advanced understanding of privacy in both offline contexts and online environments. Despite the rich understanding, existing studies predominately focused on elucidating privacy issues specific to individuals. The increasingly popular usage of mobile apps with social media integration has fundamentally challenged current understanding and conceptualization of information privacy. In particular, mobile apps allow information collection beyond individuals' personal scope (i.e., his/her personal information) and extend the scope of acquisition into individuals' online social networks (i.e., his/her list of friends on Facebook). To fill this gap in the literature, drawing on the Communication Privacy Management Theory, this proposal focuses on three unique dimensions of social network privacy dispositions, namely permeability, ownership, and linkage. Second, we propose to operationalize these three dimensions of social network privacy dispositions using a second-order reflective construct, and we plan to develop an objective measurement scale for it. Lastly, we plan to validate the construct using a nomological network.
Persistent Identifierhttp://hdl.handle.net/10722/270368

 

DC FieldValueLanguage
dc.contributor.authorChoi, Ben C.F.-
dc.contributor.authorYu, Jie-
dc.contributor.authorWu, Yi-
dc.contributor.authorJiang, Zhenhui-
dc.date.accessioned2019-05-27T03:57:26Z-
dc.date.available2019-05-27T03:57:26Z-
dc.date.issued2016-
dc.identifier.citationPacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, 2016-
dc.identifier.urihttp://hdl.handle.net/10722/270368-
dc.description.abstractThe Information Systems literature has substantially advanced understanding of privacy in both offline contexts and online environments. Despite the rich understanding, existing studies predominately focused on elucidating privacy issues specific to individuals. The increasingly popular usage of mobile apps with social media integration has fundamentally challenged current understanding and conceptualization of information privacy. In particular, mobile apps allow information collection beyond individuals' personal scope (i.e., his/her personal information) and extend the scope of acquisition into individuals' online social networks (i.e., his/her list of friends on Facebook). To fill this gap in the literature, drawing on the Communication Privacy Management Theory, this proposal focuses on three unique dimensions of social network privacy dispositions, namely permeability, ownership, and linkage. Second, we propose to operationalize these three dimensions of social network privacy dispositions using a second-order reflective construct, and we plan to develop an objective measurement scale for it. Lastly, we plan to validate the construct using a nomological network.-
dc.languageeng-
dc.publisherAssociation for Information Systems. The Journal's web site is located at https://aisel.aisnet.org/pacis/-
dc.relation.ispartofPacific Asia Conference on Information Systems, PACIS 2016 - Proceedings-
dc.subjectSocial network privacy dispositions-
dc.subjectLogging autonomy-
dc.subjectMobile apps-
dc.subjectPeer usage-
dc.titleSocial network privacy dispositions: An objective measurement scale and a causal model-
dc.typeConference_Paper-
dc.identifier.scopuseid_2-s2.0-85011066633-

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