Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/309945 
Year of Publication: 
2022
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 32 [Issue:] 4 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2022 [Pages:] 2333-2355
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
The Internet of Things (IoT) is permeating all areas of life. However, connected devices are associated with substantial risks to users' privacy, as they rely on the collection and exploitation of personal data. The case of connected cars demonstrates that these risks may be more profound in the IoT than in extant contexts, as both a user's informational and physical space are intruded. We leverage this unique setting to collect rich context-immersive interview (n = 33) and large-scale survey data (n = 791). Our work extends prior theory by providing a better understanding of the formation of users' privacy risk perceptions, the effect such perceptions have on users' willingness to share data, and how these relationships in turn are affected by inter-individual differences in individuals' regulatory focus, thinking style, and institutional trust.
Subjects: 
Information privacy
Disclosure decision-making
Perceived privacy risk
Connected cars
Internet of Things
JEL: 
O33
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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