Perceived privacy risk in the Internet of Things: determinants, consequences, and contingencies in the case of connected cars

Koester, Nils; Cichy, Patrick; Antons, David; Salge, Thorsten Oliver (2022). Perceived privacy risk in the Internet of Things: determinants, consequences, and contingencies in the case of connected cars Electronic Markets, 32(4), pp. 2333-2355. Springer 10.1007/s12525-022-00522-6

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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.

Item Type:	Journal Article (Original Article)
Division/Institute:	Business School > Institute for Applied Data Science & Finance Business School > Institute for Applied Data Science & Finance > Applied Data Science
Name:	Koester, Nils; Cichy, Patrick; Antons, David and Salge, Thorsten Oliver
ISSN:	1019-6781
Publisher:	Springer
Language:	English
Submitter:	Patrick Cichy
Date Deposited:	10 Jul 2023 14:40
Last Modified:	10 Jul 2023 14:40
Publisher DOI:	10.1007/s12525-022-00522-6
Uncontrolled Keywords:	Information privacy · Disclosure decision-making · Perceived privacy risk · Connected cars · Internet of Things
ARBOR DOI:	10.24451/arbor.19570
URI:	https://arbor.bfh.ch/id/eprint/19570