Applying the Technology Acceptance Model to Predict the Adoption of IoT Technologies in Smart Homes

The Internet of Things (IoT) is the foundation of smart home development, as it offers greater comfort, security, and energy efficiency. The acceptance of these solutions depends on users’ attitudes and perceptions, which can be assessed prior to implementation using the Technology Acceptance Model (TAM). TAM assumes that perceived ease of use (PEOU) influences perceived usefulness (PU), and both constructs shape the behavioral intention to use (BI), whitch refers to the user’s intention or willingness to use the technology. The proposed framework is based on a survey with a Likert scale, measurement of key constructs, and regression analysis. This paper outlines guidelines for conducting such an assessment, without applying them to a specific case. It is expected that simpler and more useful systems will significantly increase the intention to adopt IoT.