Please use this identifier to cite or link to this item: https://doi.org/10.1287/isre.1120.0441
Title: Privacy concerns and privacy-protective behavior in synchronous online social interactions
Authors: Jiang, Z. 
Heng, C.S.
Choi, B.C.F.
Keywords: Misrepresentation
Privacy concerns
Privacy-protective behavior
Self-disclosure
Social rewards
Synchronous online social interactions
Issue Date: 2013
Citation: Jiang, Z., Heng, C.S., Choi, B.C.F. (2013). Privacy concerns and privacy-protective behavior in synchronous online social interactions. Information Systems Research 24 (3) : 579-595. ScholarBank@NUS Repository. https://doi.org/10.1287/isre.1120.0441
Abstract: Privacy is of prime importance to many individuals when they attempt to develop online social relationships. Nonetheless, it has been observed that individuals' behavior is at times inconsistent with their privacy concerns, e.g., they disclose substantial private information in synchronous online social interactions, even though they are aware of the risks involved. Drawing on the hyperpersonal framework and the privacy calculus perspective, this paper elucidates the interesting roles of privacy concerns and social rewards in synchronous online social interactions by examining the causes and the behavioral strategies that individuals utilize to protect their privacy. An empirical study involving 251 respondents was conducted in online chat rooms. Our results indicate that individuals utilize both self-disclosure and misrepresentation to protect their privacy and that social rewards help explain why individuals may not behave in accordance with their privacy concerns. In addition, we find that perceived anonymity of others and perceived intrusiveness affect both privacy concerns and social rewards. Our findings also suggest that higher perceived anonymity of self decreases individuals' privacy concerns, and higher perceived media richness increases social rewards. Generally, this study contributes to the information systems literature by integrating the hyperpersonal framework and the privacy calculus perspective to identify antecedents of privacy trade-off and predict individuals' behavior in synchronous online social interactions. © 2013 Informs.
Source Title: Information Systems Research
URI: http://scholarbank.nus.edu.sg/handle/10635/77904
ISSN: 10477047
DOI: 10.1287/isre.1120.0441
Appears in Collections:Staff Publications

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