AI & Society
AI-driven metaverse integration correlates with higher sustainable manufacturing performance in Jordan’s industrial sector, with digital supply chain resilience as a key pathway

A 2026 study of Jordanian industrial managers found that AI-powered metaverse integration correlated with better sustainability performance, both directly and through more resilient digital supply chains. The study, which appeared in Logistics, analyzed 415 valid survey responses. The metaverse measures covered digital twin systems, predictive AI analytics, and virtual collaboration technologies.
What the study examined
A researcher at Al-Ahliyya Amman University surveyed 500 industrial managers in Jordan. Of those, 415 returned valid responses. The researcher analyzed the responses with partial least squares structural equation modeling (PLS-SEM), a statistical method that tests relationships among several survey measures at once.
What the study found
Managers who reported stronger AI-powered metaverse integration also reported better sustainable manufacturing performance. Digital supply chain resilience, meaning a supply chain that stays agile, responsive, and continuous, acted as a key link between metaverse-based technology adoption and sustainability outcomes.
Why the finding matters
The authors argue that advanced digital and virtual technologies have a strategic role in supply chains, especially in emerging economies such as Jordan. The study extends resource orchestration theory, a management theory about how firms coordinate resources, to the metaverse context. The authors say it offers practical insights for industrial managers pursuing digital transformation.
FAQ
What is digital supply chain resilience in this study?
It is a supply chain's ability to remain agile, responsive, and continuous. The study treats it as a bridge between metaverse-based tools and sustainability results.
Did the study prove that the metaverse causes better sustainability?
No. The survey measured associations among managers' reports. The results show relationships rather than proof of cause.
Where was the study done?
The data came from 500 industrial managers in Jordan, and 415 valid responses went into the analysis. The conclusions focus on Jordan's industrial sector and emerging economies such as Jordan.
Limits and what's next
The study analyzes 415 valid survey responses from industrial managers in Jordan. It uses survey data and a statistical modeling method, so the results are self-reported associations. The abstract reports no independent replication, and it does not say whether the findings extend to other countries or industrial settings. The authors describe the work as extending resource orchestration theory to the metaverse context and offering practical insights for industrial managers.
Source: Ahmad Fathi Alheet, “AI-Driven Metaverse Integration for Sustainable Manufacturing: The Mediating Role of Digital Supply Chain Resilience in Jordan’s Industrial Sector,” Logistics, 2026.