Paper Info
Title
Understanding the Antecedents and Outcomes of Facebook Privacy Behaviors: An Integrated Model
Abstract
Privacy in online social networking (OSN) is more complex than in traditional online environments, such as e-commerce. In addition to simply limiting self-disclosure, OSN users can also use privacy settings and manage their network size to ensure privacy. This complexity calls for an enhanced OSN privacy model that more completely explains privacy behaviors. Combining the privacy calculus model with part of the uses and gratifications approach, this paper proposes an OSN privacy model that depicts both antecedents (i.e., privacy concern, trusting beliefs, and personal interest) and outcomes (i.e., gratifications obtained) of perceived privacy and use behaviors. Using an Empanel survey sample collected from U.S. Facebook users, results show that privacy concern influences network size, trust influences privacy setting use and use frequency, and personal interest influences each privacy and use behavior. Findings also show that the privacy behaviors’ influence on gratifications obtained is complex in nature. A three-way interaction influences enjoyment and habit gratifications, and a two-way interaction influences bonding social capital. This paper provides opportunities for future research regarding OSN privacy behaviors, and it discusses practical implications.
Year
DOI
Venue
2020
10.1109/TEM.2019.2893541
IEEE Transactions on Engineering Management
Keywords
DocType
Volume
Privacy,Calculus,Facebook,Limiting,Media,Complexity theory
Journal
67
Issue
ISSN
Citations 
3
0018-9391
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Nancy K. Lankton119515.73
Harrison McKnight23094127.15
John F. Tripp3296.05