Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50356

Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure

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dc.contributor.author Choi, HanByeol Stella
dc.contributor.author Kwak, Chanhee
dc.contributor.author Lee, Junyeong
dc.contributor.author Lee, Heeseok
dc.date.accessioned 2017-12-28T01:55:21Z
dc.date.available 2017-12-28T01:55:21Z
dc.date.issued 2018-01-03
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50356
dc.description.abstract Nowadays, people communicate with many others online. Of the online sites, product review pages have become an important communication medium on which consumers share information about a product. Drawing upon this trend, we examined the factors that affect reviewers’ self-disclosure behavior. Prior studies have found that privacy behaviors such as self-disclosure are affected by diverse contextual factors. In this study, we propose that online crowdedness is an important contextual factor for self-disclosure behavior. Using review data from the largest online apparel rental site in the U.S., we empirically explored the relationship between online crowdedness and self-disclosure behavior. The result shows that online crowdedness can discourage self-disclosure behavior.
dc.format.extent 9 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Innovative Behavioral IS Security and Privacy Research
dc.subject Online crowdedness, Online reviews, Self-disclosure, Social presence theory
dc.title Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2018.468
Appears in Collections: Innovative Behavioral IS Security and Privacy Research


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