Factors Influencing Users’ Behavioral Intention Toward Adoption of Teleconsultation Technology: A Combined TAM-BRT Approach

Healthcare infrastructure is of paramount importance in developing countries. Integrating healthcare services with technological innovations, such as artificial intelligence, supply chain automation, medical robotics, and Teleconsultation technology, has consistently played a crucial role in enhancing operational efficiency. Unfortunately, inadequate user acceptance can undermine these inherent benefits. Although most studies have examined the behavioral intention from a healthcare provider’s perspective, investigating factors influencing users’ adoption intention is vital. This research focuses on users’ viewpoints to investigate the factors influencing their technology adoption intention through a combination of the Technology Acceptance Model (TAM) and the Behavioral Reasoning Theory (BRT) model. This study included 403 individuals. The research framework was tested using SmartPLS 4 with advanced partial least squares-based structural equation modeling. The results of the structural model indicate that factors under the ‘reasons for’ category, such as compatibility, convenience, and self-efficacy, have a positive but indirect influence on behavioral intention. However, trust did not have any significant effect. Interestingly, the risk barrier and technological anxiety do not have an indirect negative impact on users’ behavioral intention; personal inertia exerts a significant indirect negative impact on users’ behavioral intention. The findings provide significant contributions and implications for healthcare service providers, policymakers, health insurance companies, and future researchers in the healthcare domain.