The research will explore the significant challenges that prevent Metaverse adoption in the healthcare enterprise context by considering problems that impact long-term usability of the technology across various contexts and the creation of real business value. Based on the study, a Metaverse health integration framework presents the tactical intelligence and practical direction for addressing those challenges towards positive change in technology utilization.
This research uses interpretive structural modelling (ISM), Matrice d’Impacts Croisés Multiplication Appliquée à un Classement analysis and Bayesian Network to examine the impediments to adopting Metaverse technology in the health sector. Based on a systems theory, it describes barriers, including technical, usability, regulation and privacy and places them in a dependency and driving map.
The findings indicate essential factors inhibiting the innovation, with sustainable user experience and ultimately value to the business as the outcomes. Some of these are technical constraints, legal concerns and interface compatibility. The results corroborate propositions that call for feedback systems, technological advancement and consistent procedures as essential for obviating common barriers to adoption.
This work provides a novel connectivity map to analyse the intertwinement of Metaverse adoption barriers in the healthcare enterprise and fills the identified gaps in the literature. Thus, the proposed framework locates the integration of health care in sustainable and governance agendas and meets a significant gap by offering decision-making insights to enhance, transform, and sustain health care systems through strategic technology adoption.
