Sustainable metaverse ecosystems: from ESG compliance to multilayer network scalability

Abstract This study examines the emerging sustainability of metaverse ecosystems, which combine multiple virtual and augmented reality spaces where users interact. ESG criteria, which align with the Sustainable Development Goals and promote economic and financial sustainability, represent best practice standards for screening and backing viable projects. The research focus begins with the historical ESG scoring of metaverse-prone BigTechs, demonstrating that they are more sustainable than traditional firms, as evidenced by the increase in the probability of payment between traditional clients and suppliers. Multilayer networks are then introduced, incorporating the scalability features of new nodes (avatars) and links that make the metaverse economically sustainable. The strongest ESG issues concern the social and governance component: access to the metaverse is hardened by authoritarian regimes, or ludopathies may be exacerbated by 3D dependence, detaching addicted surfers from the real world. Our findings show that integrating multilayer network theory with ESG metrics not only promotes economic sustainability but also supports governance innovations that drive digital inclusivity. By integrating ESG metrics with multilayer network theory, this research enhances economic sustainability and reveals governance innovations that foster digital inclusivity, strengthening the metaverse's long-term viability.

Authors

Institutions

Publication Details

Journal
Financial Innovation
Published
2025-09-19
DOI
https://doi.org/10.1186/s40854-025-00786-9
Citations
2
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable metaverse ecosystems: from ESG compliance to multilayer network scalability

Salvador Cruz Rambaud, Joaquín López Pascual, Javier Sánchez García, Roberto Moro Visconti
2 citations
Financial Innovation
Complex Network Analysis Techniques
2.65
article

Sustainable metaverse ecosystems: from ESG compliance to multilayer network scalability

Salvador Cruz Rambaud, Joaquín López Pascual, Javier Sánchez García, Roberto Moro Visconti
article en
2 citations

Abstract

Abstract This study examines the emerging sustainability of metaverse ecosystems, which combine multiple virtual and augmented reality spaces where users interact. ESG criteria, which align with the Sustainable Development Goals and promote economic and financial sustainability, represent best practice standards for screening and backing viable projects. The research focus begins with the historical ESG scoring of metaverse-prone BigTechs, demonstrating that they are more sustainable than traditional firms, as evidenced by the increase in the probability of payment between traditional clients and suppliers. Multilayer networks are then introduced, incorporating the scalability features of new nodes (avatars) and links that make the metaverse economically sustainable. The strongest ESG issues concern the social and governance component: access to the metaverse is hardened by authoritarian regimes, or ludopathies may be exacerbated by 3D dependence, detaching addicted surfers from the real world. Our findings show that integrating multilayer network theory with ESG metrics not only promotes economic sustainability but also supports governance innovations that drive digital inclusivity. By integrating ESG metrics with multilayer network theory, this research enhances economic sustainability and reveals governance innovations that foster digital inclusivity, strengthening the metaverse's long-term viability.

Financial InnovationVol. 11(1)
Università Cattolica del Sacro Cuore (IT), Universidad Rey Juan Carlos (ES), University of Almería (ES)
Openalex Percentile: Top 9%
Complex Network Analysis Techniques
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.