This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 21–21 of 21 papers
Peter Okoye, Fadzlina Mohd Fahmi, Mazurina Mohd Ali
This study conceptually synthesizes how IFRS S1/S2 can enhance ESG disclosure quality and investor confidence. A systematic review of 44 peer-reviewed articles (2021–2025) identifies comparability, readability, and assurance as key mechanis…
Browse by Topic