The impact of metaverse-driven design on supply chain resilience and performance: a hybrid PLS-SEM and ANN approach

Jingyi Wu, Siyuan Liu, Chao Ma, Ahmed Muneeb Mehta, Muhammad Asif

Open source

DOI
10.1038/s41598-026-56225-x
Published
2026-07-14
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-026-56225-x,
  title = {The impact of metaverse-driven design on supply chain resilience and performance: a hybrid PLS-SEM and ANN approach},
  author = {Jingyi Wu and Siyuan Liu and Chao Ma and Ahmed Muneeb Mehta and Muhammad Asif},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-56225-x},
  url = {https://doi.org/10.1038/s41598-026-56225-x}
}

RIS

TY  - JOUR
TI  - The impact of metaverse-driven design on supply chain resilience and performance: a hybrid PLS-SEM and ANN approach
AU  - Jingyi Wu
AU  - Siyuan Liu
AU  - Chao Ma
AU  - Ahmed Muneeb Mehta
AU  - Muhammad Asif
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-56225-x
UR  - https://doi.org/10.1038/s41598-026-56225-x
ER  - 

APA

Wu, J., Liu, S., Ma, C., Mehta, A. M., & Asif, M. (2026). The impact of metaverse-driven design on supply chain resilience and performance: a hybrid PLS-SEM and ANN approach. Scientific Reports. https://doi.org/10.1038/s41598-026-56225-x

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