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An Examination of the Effect of the Contextual UI Design Quality of Mobile Shopping Applications on the Loyalty of Users to the Applications Read chapter Read first chapter

2018 | OriginalPaper | Chapter

The Personal Information Overloads Effect Information Protective Responses in the Internet of Thing (IoT) Era

Authors : Won-Hyun So, Ha-Kyun Kim

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

With the emergence of information overload in the age of the Internet of Things (IoT), data are collected and information is processed regardless of personal will. This study aims to examine the impact of personal information overload on perceived risks and information protective responses in the IoT environment. In this study, a research model related to personal information overload was proposed and empirical analyses were conducted. The major findings are as follows. First, personal information overload had a significant effect on perceived risks (economic, social, time loss, and privacy risks). Second, among perceived risks, economic, social, and privacy risks had a significant effect on information protective responses while time loss risk did not.

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Metadata
Title
The Personal Information Overloads Effect Information Protective Responses in the Internet of Thing (IoT) Era
Authors
Won-Hyun So
Ha-Kyun Kim
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_141