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首页> 外文期刊>IEEE Transactions on Engineering Management >Understanding the Antecedents and Outcomes of Facebook Privacy Behaviors: An Integrated Model
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Understanding the Antecedents and Outcomes of Facebook Privacy Behaviors: An Integrated Model

机译：了解Facebook隐私行为的前一种和结果：综合模型

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摘要

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.
机译：在线社交网络（OSN）的隐私比传统在线环境更加复杂，例如电子商务。除了简单地限制自泄露之外，OSN用户还可以使用隐私设置并管理其网络大小以确保隐私。这种复杂性呼吁增强的OSN隐私模型，更完全解释隐私行为。本文将隐私微积分模型与部分用途和满足方法相结合，提出了一个OSN隐私模型，可描绘未经处理的前因（即隐私问题，信任信念和个人利益）和结果（即获得的满足）使用行为。使用从美国Facebook用户收集的Empanel调查样本，结果表明隐私问题影响网络大小，信任影响隐私设置使用和使用频率，并且个人兴趣影响每个隐私和使用行为。调查结果还表明，隐私行为对所获得的满足的影响是复杂的。一种三种互动影响享受和习惯满足，以及双向互动影响绑定社会资本。本文为OSN隐私行为的未来研究提供了机会，讨论了实际影响。

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