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Metaverse adoption as a cornerstone for sustainable healthcare firms in the industry 5.0 epoch.
- Source :
- Journal of Enterprise Information Management; 2024, Vol. 37 Issue 4, p1254-1281, 28p
- Publication Year :
- 2024
-
Abstract
- Purpose: This research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through cutting-edge technologies such as artificial intelligence (AI) and Internet of Things (IoT). The study emphasizes the significance of sustainability, human-machine collaboration and Industry 5.0 in the development of a technologically advanced, inclusive and immersive healthcare system. Design/methodology/approach: The study surveyed 354 medical professionals and used structural equation modeling (SEM) to investigate healthcare sustainability, Industry 5.0 and the metaverse, emphasizing the integration of modern technology while maintaining ethical issues. Findings: The findings highlight Industry 5.0's and the metaverse's transformational potential in healthcare firms. The study finds that human centricity (HC) has only a minor direct impact on healthcare sustainability, whereas intelligent automation (IA) and innovation (INN) play important roles that are regulated by external factors. Practical implications: Utilizing IA inside healthcare organizations can result in significant industrial advancements. However, these organizations must recognize the importance of moderating factors and attempt to find a balance between INN and thesev restraints. Originality/value: This study makes a substantial contribution to the field by investigating the potential of Industry 5.0, healthcare, sustainability and the metaverse. It discusses how these advances can transform healthcare firms, with an emphasis on patient-centered treatment, environmental sustainability and data ethics. The study emphasizes the importance of having a thorough awareness of these trends and their implications for healthcare practices. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17410398
- Volume :
- 37
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Enterprise Information Management
- Publication Type :
- Academic Journal
- Accession number :
- 178533572
- Full Text :
- https://doi.org/10.1108/JEIM-10-2023-0559