The personal information overloads effect information protective responses in the internet of thing (IoT) era

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.