This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 1–4 of 4 papers
Sebastian Rhein, Laura Engel, T. Dreier +1
This study investigates how corporations operationalize climate-related risk and opportunity disclosure through eight semi-structured interviews with sustainability professionals. Findings show that while TCFD serves as the primary framewor…
Mona Mashhadi Rajabi, Yun Shen, Martina Linnenluecke +3
This study systematically reviews 108 academic articles on climate-related financial risk disclosures post-TCFD, identifying five research domains under evolving regulatory frameworks including IFRS S2 and ESRS. It finds that despite rapid …
C. Boța-Avram, Adriana Tiron Tudor, Liana Stanca
This study examines governance drivers of climate change disclosure in the European utilities sector using a TCFD-aligned score built via machine learning. Findings show board characteristics (gender diversity, size), CEO duality, and exter…
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…
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