PACIS 2021 Proceedings


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Recently, the relevance of smart services based on the Internet of Things (IoT) has grown rapidly. IoT services use large amounts of data to make their functionalities available. In this regard, smart car services, a specific form of IoT services, use sensors to collect information about the car and its environment, potentially invading consumers' privacy. Despite the increasing importance of these services, hardly any studies exist that evaluate the adoption of smart car services and consider the high relevance of information privacy risk. To counteract this research gap, this study proposes a model based on the value-based adoption model to quantify the adoption of smart car services and its underlying mechanisms. The study uses a structural equation modeling approach to evaluate the responses of 182 participants. The results show that privacy risk plays a crucial role for the acceptance of smart car services.



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