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Conference Paper: Social network privacy dispositions: An objective measurement scale and a causal model
Title | Social network privacy dispositions: An objective measurement scale and a causal model |
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Authors | |
Keywords | Social network privacy dispositions Logging autonomy Mobile apps Peer usage |
Issue Date | 2016 |
Publisher | Association 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? |
Abstract | The 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 Identifier | http://hdl.handle.net/10722/270368 |
DC Field | Value | Language |
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dc.contributor.author | Choi, Ben C.F. | - |
dc.contributor.author | Yu, Jie | - |
dc.contributor.author | Wu, Yi | - |
dc.contributor.author | Jiang, Zhenhui | - |
dc.date.accessioned | 2019-05-27T03:57:26Z | - |
dc.date.available | 2019-05-27T03:57:26Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, 2016 | - |
dc.identifier.uri | http://hdl.handle.net/10722/270368 | - |
dc.description.abstract | The 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.language | eng | - |
dc.publisher | Association for Information Systems. The Journal's web site is located at https://aisel.aisnet.org/pacis/ | - |
dc.relation.ispartof | Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings | - |
dc.subject | Social network privacy dispositions | - |
dc.subject | Logging autonomy | - |
dc.subject | Mobile apps | - |
dc.subject | Peer usage | - |
dc.title | Social network privacy dispositions: An objective measurement scale and a causal model | - |
dc.type | Conference_Paper | - |
dc.identifier.scopus | eid_2-s2.0-85011066633 | - |