自我数字化中的隐私维护

IF 2.8 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Data Base for Advances in Information Systems Pub Date : 2021-04-28 DOI:10.1145/3462766.3462769
F. Bélanger, Robert E. Crossler, John Correia
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引用次数: 4

摘要

个人越来越多地使用个人物联网(IoT)设备,将他们的日常生活数字化。然而,这些设备通常需要大量的个人信息才能产生预期的好处。例如,健身技术无处不在地收集健康、睡眠、个人和大量其他信息,当健身技术平台提供商存储或共享他们的信息时,无论用户是否知道,都可能给用户带来隐私问题。为了探讨隐私感知在持续使用健身技术的背景下的作用,本研究收集了212名健身追踪器用户的数据。我们发现经验支持隐私感知在用户继续使用健身追踪器的意图中的重要性。更具体地说,与隐私微积分研究一致,隐私关注与信息披露意愿负相关,而感知利益与信息披露意愿正相关。作为微积分变量的延伸,用户对组织数据共享实践的期望也会影响其信息披露意愿。重要的是,信息披露意愿对持续使用意愿有直接影响,但也会调节感知收益与用户继续使用健身追踪器意愿之间的关系。我们将讨论这些发现对研究和实践的影响。
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Privacy Maintenance in Self-Digitization
Individuals are increasingly using personal Internet of Things (IoT) devices that digitize their day-to-day lives. Those devices, however, often require substantial personal information to generate their intended benefits. For example, fitness technologies collect health, sleep, personal, and a vast array of other information ubiquitously, creating possible privacy issues for the users when fitness technology platform providers store or share their information, whether users know this or not. To explore the role of privacy perceptions in the context of continued use of fitness technologies, this study collected data from 212 fitness tracker users. We find empirical support for the importance of privacy perceptions in a user's intention to continue to use their fitness tracker. More specifically, consistent with privacy calculus research, privacy concern is negatively related to willingness to disclose information while perceived benefit is positively related to it. As an extension to calculus variables, users' expectations towards the data sharing practices of organizations also influences their willingness to disclose information. Importantly, willingness to disclose information has a direct effect on continued use intentions but also moderates the relationship between perceived benefit and users' intentions to continue using a fitness tracker. We discuss the implications of these findings for research and practice.
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来源期刊
Data Base for Advances in Information Systems
Data Base for Advances in Information Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
18
期刊最新文献
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