Exploring the Role of Metaverse-Enabled Knowledge Collaboration in Enhancing Knowledge Management Outcomes in Manufacturing

This study examines how organisational and individual factors influence Knowledge Management Outcomes (KMO) through knowledge collaboration and behaviours enabled by the Metaverse. Grounded in Knowledge Management Theory (KMT) and supported by related theories, the study proposes a structural model that includes Organisational Readiness (OR), User Trust (UT), Privacy Risk (PR) and Digital Literacy (DL). The model explores how these factors affect Metaverse-Enabled Knowledge Collaboration and behaviours, and their impact on KMO. Using survey data from six advanced manufacturing industries, the study validates the model through Partial Least Squares Structural Equation Modelling. The results show that DL significantly moderates knowledge behaviours. Multi-group analysis reveals that in the High-End Equipment Manufacturing industry, OR has a stronger effect on knowledge collaboration, PR also has a stronger negative impact on knowledge application and DL more effectively moderates the relationship between knowledge collaboration and knowledge sharing. This study extends KMT by providing an analytical framework for complex knowledge management processes in a Metaverse-enabled environment. It highlights the role of Metaverse Technology in reshaping knowledge flows. Practically, the study emphasises the importance of OR and DL. Enterprises should build trust in emerging technologies, address privacy concerns and tailor deployment strategies to industry-specific needs to optimise KMO.