Dealing with digital traces: Understanding protective behaviors on mobile devices

Dealing with digital traces: Understanding protective behaviors on mobile devices
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DOI:
10.1016/j.jsis.2018.11.002
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发表时间:
2019-03-01
影响因子:
7
通讯作者:
Crossler, Robert E.
Crossler, Robert E.
中科院分区:
管理学1区
文献类型:
--
作者:
Belanger, France;Crossler, Robert E.

文献摘要

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随着数字化的不断发展,从个人和组织收集的信息越来越多,导致了一些隐私问题。由于数据收集可以持续且无处不在,这些风险在移动领域进一步加剧。当个人在工作环境中使用自己的设备时,这些问题也会成为组织关注的问题。接下来的问题是如何确保个人在移动设备上执行适当的信息保护行为。在本研究中,我们开发了一种基于计划行为理论和信息隐私文献相结合的移动信息保护模型,以探讨个人在移动设备上共享信息的态度、使用保护设置的意图以及实际做法的前因。该模型使用 228 位 iPhone 用户的数据进行了测试。研究结果表明,移动信息保护意愿导致实际的隐私设置实践,而信息共享态度和移动隐私保护自我效能感影响该意愿。信息共享态度的决定因素包括移动隐私关注和对移动平台的信任。最后,先前的入侵经历与隐私问题有关。这些发现提供了对可针对性增强个人保护行动的因素的见解,以限制他们通过智能手机共享的数字信息量。
With increasingly digitization, more and more information is collected from individuals and organizations, leading to several privacy concerns. These risks are further heightened in the mobile realm as data collection can occur continuously and ubiquitously. When individuals use their own devices in work settings, these issues become concerns for organization as well. The question then is how to ensure individuals perform proper information protection behaviors on mobile devices. In this research, we develop a model of mobile information protection based on an integration of the Theory of Planned Behavior and the information privacy literature to explore the antecedents of the attitude of individuals towards sharing information on their mobile devices, their intentions to use protective settings, and their actual practices. The model is tested with data from 228 iPhone users. The results indicate that mobile information protection intention leads to actual privacy settings practice, and that attitude towards information sharing and mobile privacy protection self-efficacy affect this intention. Determinants of attitude towards information sharing include mobile privacy concern and trust of the mobile platform. Finally, prior invasion experience is related to privacy concern. These findings provide insights into factors that can be targeted to enhance individuals' protective actions to limit the amount of digital information they share via their smartphones.