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  4. Privacy Concerns and Data Sharing in the Internet of Things: Mixed Methods Evidence from Connected Cars
 

Privacy Concerns and Data Sharing in the Internet of Things: Mixed Methods Evidence from Connected Cars

URI
https://arbor.bfh.ch/handle/arbor/42865
Version
Published
Date Issued
2021
Author(s)
Cichy, Patrick  
Salge, Torsten-Oliver
Kohli, Rajiv
Type
Article
Language
English
Subjects

Privacy

privacy concerns

cybersecurity

psychological ownersh...

data sharing

data disclosure

Internetof Things

IoT

connected car

smart products

Abstract
The Internet of Things (IoT) is increasingly transforming the way we work, live, and travel. IoT devices collect, store, analyze, and act upon a continuous stream of data as a by-product of everyday use. However, IoT devices need unrestricted data access to fully function. As such, they invade users’ virtual and physical space and raise far-reaching privacy challenges that are unlike those examined in other contexts.
DOI
10.24451/arbor.15064
https://doi.org/10.24451/arbor.15064
Journal
MIS Quarterly
Publisher URL
https://misq.org/privacy-concerns-and-data-sharing-in-the-internet-of-things-mixed-methods-evidence-from-connected-cars.html
Organization
Abteilung Methoden und Grundlagen (AMuG)  
Wirtschaft  
Volume
45
Issue
4
Submitter
CichyP
Citation apa
Cichy, P., Salge, T.-O., & Kohli, R. (2021). Privacy Concerns and Data Sharing in the Internet of Things: Mixed Methods Evidence from Connected Cars. In MIS Quarterly (Vol. 45, Issue 4). https://doi.org/10.24451/arbor.15064
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