Factors Influencing Patient Adoption of the IoT for e-Health Management Systems (e-HMS) Using the UTAUT Model: A High order SeM-ANN Approach

This study examines factors influencing patients’ adoption of the IoT for e-health management system (e-HMS). A conceptual framework is built by applying the unified theory of acceptance and use of technology (UTAUT) model to achieve the research objectives. The constructs (i.e., performance expectations, perceived healthcare threat, facilitation, and trust) were employed to analyze the behaviour intention of healthcare IoT devices in the medical context. A questionnaire was prepared and circulated to 210 IoT healthcare users. Further, a synergy of Smart-PLS and ANN was used to determine factors influencing adopting the IoT for e-HMS. The study yields a novel insight that would render vital benefits to users and service providers. The outcomes of this research can assist IoT inventors, medicinal specialists, and vendors in enhancing the optimization of e-HMS. The results make some new reporting facts to improve IoT 4.0 practices in the e-healthcare system and structural model assessment. Copyright © 2022, IGI Global.