Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 34 min ago
Peer-reviewedCC BY 4.0PLOS One

Editorial Note: Predicting corporate management performance using AI: Incorporating CEO strategy insights from sustainable management reports

  • The PLOS One Editors
Open at sourcePDFDOICite

Related

  1. Editorial for the Second EJP SOIL Special Issue: “Climate‐Smart Sustainable Agricultural Soil Management for the Future II”
    Sophie Zechmeister-Boltenstern, Katharina Meurer, Klaus Jarosch +4
    European Journal of Soil SciencePeer-reviewedCC BYFull textGeneral biologyEnvironmental science & pollutionHAL
  2. Cybersecurity for sustainable product performance through management quality, innovation intensity, and board risk oversight
    Richard Arhinful, Leviticus Mensah, Bright Akwasi Gyamfi
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  3. Perceived sustainable construction waste management performance in the AIoT context: an integrated TAM–TOE framework in Malaysia
    Mahdi Mohammed A. Abkar, Honin Al-Shaeer, Mugahed Amran +4
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  4. A nomogram incorporating nutritional risk for predicting 31-day unplanned readmission in adults with type 2 diabetes mellitus using LASSO regression
    Jing Cao, Qiumei Shi, Zikai Yu +1
    Frontiers in nutritionPeer-reviewedCC BYFull textEurope PMC
  5. Editorial: Smart plant pest and disease detection machinery and technology: innovations for sustainable agriculture
    Xing Yang, Fan Yang
    Frontiers in Plant SciencePeer-reviewedCC BY 4.0Plant biologyCrossref

Cite

BibTeXRIS
BibTeX
@article{editors2026editorial,
  title = {{Editorial Note: Predicting corporate management performance using AI: Incorporating CEO strategy insights from sustainable management reports}},
  author = {The PLOS One Editors},
  journal = {PLOS One},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pone.0357856},
  url = {https://doi.org/10.1371/journal.pone.0357856},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Editorial Note: Predicting corporate management performance using AI: Incorporating CEO strategy insights from sustainable management reports
AU  - The PLOS One Editors
PY  - 2026
DA  - 2026/09/09
JO  - PLOS One
DO  - 10.1371/journal.pone.0357856
UR  - https://doi.org/10.1371/journal.pone.0357856
SN  - 1932-6203
ER  -