Insights into changes and antecedents of consumers’ IoT adoption and use

In the age of the internet of things (IoT), the presence of smart devices in everyday life is rapidly growing. This poses new challenges to owners that need to adjust to the promising new technologies. In addition, organizationshave to adjust their products in relations to other products to provide more value than they do alone. Both customers and organizations have to deal with and adapt to these transformational digital shifts. Nevertheless, while this development creates potential opportunities for companies and customers, it will also induce major theoretical and business-related challenges, which are mainly associated with the technological possibilities and consumer behavior with regard to IoT.To address these challenges, this interdisciplinary project will use structural equation modelling and natural language processing (NLP) (i.e., text mining, web scraping, topic modeling) to discover emerging concepts of user behavior, interdependencies and human-object relationships, which in consequence could be applied to IoT use in general.