Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing
成果类型:
Article
署名作者:
Alashoor, Tawfiq; Keil, Mark; Smith, Jeff; McConnell, Allen R.
署名单位:
Copenhagen Business School; University System of Georgia; Georgia State University; University System of Ohio; Miami University
刊物名称:
INFORMATION SYSTEMS RESEARCH
ISSN/ISSBN:
1047-7047
DOI:
10.1287/isre.2022.1182
发表日期:
2023
页码:
1415-1436
关键词:
self-control
working-memory
EGO-DEPLETION
MODEL
DECISION
BEHAVIOR
disclosure
management
emotion
TRANSPARENCY
摘要:
The confluence of digital transactions, growing cybersecurity threats, and the internet of the future (e.g., web 3.0 and the metaverse) have made information privacy increasingly important to consumers and companies that rely on consumers willingly sharing their personal information. Although information privacy has been of interest to researchers for decades and much has been learned, one thing that perplexes scholars is the privacy paradox, which we define as a mismatch between stated privacy concerns and actual disclosure behaviors. In this paper, we shed light on this phenomenon and show that low-effort information processing triggered by cognitive depletion (Experiment 1), positive mood (Experiment 2), or both (Experiment 3) significantly attenuates the association between stated privacy concerns and disclosure behaviors. These findings do not indicate that individuals do not care about privacy because we find consistent evidence in the three experiments for a significant negative association between stated privacy concerns and disclosure behaviors when individuals have sufficient cognitive capacity (Experiment 1), experience a negative (or neutral) mood (Experiment 2), or have sufficient cognitive capacity coupled with a negative mood state (Experiment 3). Our findings reveal that the paradox is neither an absolute phenomenon nor a myth, but its existence is conditional on contextual factors, including psychological factors related to information processing. We discuss our contribution to privacy theory and provide implications for consumers, companies, and policymakers.
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