IoT and Motion Recognition-Based Healthcare Rehabilitation Systems (IMRHRS): An Empirical Examination From Physicians’ Perspective Using Stimulus-Organism-Response Theory

Abstract

The Internet of Things and motion recognition-based healthcare rehabilitation system (IMRHRS) is an emerging innovation with the potential to enhance physicians’ rehabilitation services. This study investigated physicians’ switching behavior from conventional rehabilitation systems to IMRHRS. We developed a research model for empirical examination employing the stimulus-organism-response paradigm and integrated the constructs of Information System Success and Technology Acceptance Models for a clearer picture. We conducted this study in two tertiary hospitals in Hefei, China, collected data from 158 physicians, and examined it using Smart-PLS. We proposed quality attributes (information, service, and system quality) as external stimuli, performance attributes (perceived ease of use and usefulness) as organisms, and switching behavior as physicians’ responses. This study revealed that information, service, and system qualities significantly impacted perceived ease of use. In contrast, information and system quality have no effect on perceived usefulness. Additionally, perceived ease of use and usefulness significantly affected physicians’ switching behavior. The results of this study apply to several groups, such as researchers, government healthcare authorities, policymakers, and medical informatics firms.

Keywords

• Internet of Things
• motion recognition
• medical informatics
• information system success model
• healthcare rehabilitation
• stimulus-organism-response theory