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 141–141 of 141 papers
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This study examines how sustainability assurance and institutional pressure affect greenwashing in Taiwan's partial mandatory disclosure context. Using panel data from 2017-2023, it finds that assurance and institutional ownership reduce gr…
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