Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking
Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking
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DOI：
10.1016/j.ijinfomgt.2016.10.006
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发表时间：
2017-02
期刊：
影响因子：
--
通讯作者：
Le Wang;Jie Yan;Jun Lin;Wentian Cui
中科院分区：
文献类型：
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作者：
Le Wang;Jie Yan;Jun Lin;Wentian Cui
海量的客户数据呈现出丰富的商机。本研究以隐私演算模型为基础，考察了自我表露意愿和自我表露诚信度的前因变量。我们扩展了隐私演算模型，探讨了服务提供商的特征和用户的人际差异如何影响隐私权衡。913名受访者参与了一项在线实证调查。我们发现，金钱奖励和社会奖励都对自我表露意愿有正向预测作用，而只有社会奖励对自我表露诚实有正向预测作用。此外，用户的应用声誉和流量体验会削弱隐私关注感，而应用兼容性和流量体验会增强用户的社会回报感知。我们的结果表明，用户更看重社会回报，而不是金钱回报。因此，建议服务提供商创造显著和独特的社会回报。他们还可以根据自己的个人资料和用户的人际差异采取不同的营销策略。
Large amounts of customer data present rich business opportunities. Drawing on the privacy calculus model, this study investigates the antecedents of self-disclosure intention and self-disclosure honesty. We extend the privacy calculus model by exploring how the characteristics of service providers and the interpersonal difference of users influence privacy trade-off. An online empirical survey that involves 913 respondents was conducted. We find that both monetary rewards and social rewards positively predict self-disclosure intention, whereas only social rewards positively predict self-disclosure honesty. Moreover, application reputation and flow experience of users weaken the perceptions of privacy concern, and application compatibility and flow experience strengthen the perceptions of social rewards. Our results suggest that users place more weight on social rewards than on monetary rewards. Therefore, service providers are advised to create salient and distinct social rewards. They can also adopt distinct marketing strategies based on their profiles and the interpersonal difference of their users.