Securing online privacy: An empirical test on Internet scam victimization, online privacy concerns, and privacy protection behaviors

Securing online privacy: An empirical test on Internet scam victimization, online privacy concerns, and privacy protection behaviors
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DOI:
10.1016/j.chb.2017.01.003
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发表时间:
2017-05-01
影响因子:
9.9
通讯作者:
Hong, Traci
Hong, Traci
中科院分区:
心理学1区
文献类型:
--
作者:
Chen, Hongliang;Beaudoin, Christopher E.;Hong, Traci

文献摘要

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当前的研究确定了成为互联网诈骗受害者的前因及其如何影响在线隐私问题和隐私保护行为。对 11,534 名互联网用户的调查数据进行的结构方程模型显示,自我控制能力较弱的一项指标(即风险投资意愿)和日常互联网活动的两项指标(即网上购物和打开来源不明的电子邮件)积极预测成为互联网诈骗受害者。随后,成为互联网诈骗受害者预示着在线隐私问题的增加,这反过来又预示着隐私保护行为的增加。此外,我们发现,成为互联网诈骗受害者介导了日常互联网活动对隐私保护行为的影响,而在线隐私担忧介导了成为互联网诈骗对隐私保护行为的影响。与大多数仅使用保护动机理论的互联网隐私研究不同,本研究通过结合扩展并行过程模型、自我控制理论和常规活动理论这三种新理论,有助于理解互联网诈骗受害情况。研究结果为与互联网诈骗过程和预防相关的理论和实践提供了宝贵的启示。 (C) 2017 Elsevier Ltd. 保留所有权利。
The current study identified the antecedents of being an Internet scam victim and how it impacts online privacy concerns and privacy protection behaviors. Structural equation modeling on data from a survey of 11,534 Internet users revealed that one indicator of weak self-control (i.e., willingness of risky investments) and two indicators of routine Internet activities (i.e., online shopping and opening emails from unknown sources) positively predicted being an Internet scam victim. Subsequently, being an Internet scam victim predicted increased online privacy concerns, which, in turn, predicted elevated privacy protection behaviors. Moreover, we found that being an Internet scam victim mediated the effects of routine Internet activities on privacy protection behaviors and that online privacy concerns mediated the effect of being an Internet scam on privacy protection behaviors. Unlike most Internet privacy studies using protection motivation theory only, the current study contributes to the understanding of the Internet scam victimization by incorporating three new theories extended parallel process model, self-control theory, and routine activity theory. The research findings provided valuable implications for theory and practice related to Internet scam processes and prevention. (C) 2017 Elsevier Ltd. All rights reserved.