A multidimensional maturity model for the metaverse: stages, dimensions and architectural alignment
The Metaverse has become a central concept in the evolution of digital transformation, but its current development is marked by conceptual ambiguity, technological fragmentation and the limited presence of structured frameworks for the systematic assessment of its maturity. The Metaverse is currentl...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:dnet:upcommonspor::f74f1da98ca8c1cd561a31e44c61a939 |
| Acceso en línea: | https://hdl.handle.net/2117/460053 https://dx.doi.org/10.3390/fi18030151 |
| Access Level: | acceso abierto |
| Palabra clave: | Metaverse Stages Maturity model Layers Interoperability Metavers |
| Sumario: | The Metaverse has become a central concept in the evolution of digital transformation, but its current development is marked by conceptual ambiguity, technological fragmentation and the limited presence of structured frameworks for the systematic assessment of its maturity. The Metaverse is currently approached from partial perspectives that often focus on virtual worlds rather than conceptualizing it as a multidimensional digital ecosystem. This study proposes a multidimensional model of Metaverse maturity divided into three stages (Emergent, Developed and Integrated) and five analytical dimensions (experience, interoperability, standardization, technology and resources). The model is based on a systematic literature review of the academic and non-academic sources. It aligns these dimensions systematically with the layered architecture of the Metaverse and formalizes their interdependence through a structured impact-mapping procedure. This maturity model offers an analytical tool for comparing contexts and sectors, identifying bottlenecks, and guiding strategic planning. It establishes a conceptual framework for future empirical validation and sector-specific applications. |
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