PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 3, 2026Computational Economics2 citations

Reconciling Divergence Among ESG Scores: A Bi-level Artificial Intelligence Based Methodology for Corporate Governance Controversies Prediction

View Full Paper
BJBoutheina JlifiMDMarc-Arthur DiayeKGKhaled Guesmi

Key Points

  • Prediction of corporate governance controversies shows improved accuracy with a bi-level artificial intelligence model.
  • This model achieves a significant 15% enhancement in predicting controversies compared to traditional methods.
  • Observational analysis applies advanced data analysis techniques to evaluate ESG scores across various firms.
  • This approach may enable better stakeholder engagement and governance, yet further validation is needed in diverse corporate environments.
Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jlifi et al. (2026) studied this question.

synapsesocial.com/papers/69a767a7badf0bb9e87e1cd1https://doi.org/10.1007/s10614-025-11260-0
Ask AI
Helpful
Bookmark
Share
View Full Paper