Distinguishing persistence from deviation in composite policy indices: A diagnostic framework for AI readiness trajectory screening and stratification

Abedallah Zaid Abualkishik, Adel Khelifi, Ibtesam Mohammed Alawadhi, Ali A. Alwan, Mohamed Elhoseny

Open source

DOI: 10.1371/journal.pone.0355152
Published: 2026-11-04
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0355152,
  title = {Distinguishing persistence from deviation in composite policy indices: A diagnostic framework for AI readiness trajectory screening and stratification},
  author = {Abedallah Zaid Abualkishik and Adel Khelifi and Ibtesam Mohammed Alawadhi and Ali A. Alwan and Mohamed Elhoseny},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0355152},
  url = {https://doi.org/10.1371/journal.pone.0355152}
}

RIS

TY  - JOUR
TI  - Distinguishing persistence from deviation in composite policy indices: A diagnostic framework for AI readiness trajectory screening and stratification
AU  - Abedallah Zaid Abualkishik
AU  - Adel Khelifi
AU  - Ibtesam Mohammed Alawadhi
AU  - Ali A. Alwan
AU  - Mohamed Elhoseny
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0355152
UR  - https://doi.org/10.1371/journal.pone.0355152
ER  -

APA

Abualkishik, A. Z., Khelifi, A., Alawadhi, I. M., Alwan, A. A., & Elhoseny, M. (2026). Distinguishing persistence from deviation in composite policy indices: A diagnostic framework for AI readiness trajectory screening and stratification. PLOS One. https://doi.org/10.1371/journal.pone.0355152

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crossref · retrieved 2026-11-05T21:48:44.344Z