Publication: ReportGRI: Automating GRI Alignment and Report Assessment
Date
Date
Date
2025
Conference or Workshop Item
Published version
| cris.virtual.orcid | 0000-0001-5983-2360 | |
| cris.virtualsource.orcid | 0331cda6-e903-4e22-9b44-f89f54f581dc | |
| dc.date.accessioned | 2025-12-03T14:41:50Z | |
| dc.date.available | 2025-12-03T14:41:50Z | |
| dc.date.issued | 2025-11-10 | |
| dc.description.abstract | Organisations disclose their sustainability performance in corporate sustainability reports (CSRs). CSRs vary widely in structure and depth depending on the reporting framework. Such disparity, together with report complexity and volume, poses significant challenges to transparency, comparability and standardisation. To address this problem, we introduce ReportGRI, an automated system for Global Reporting Initiative (GRI) indexing and qualitative assessment of CSRs. The interactive framework leverages information retrieval techniques and zero-shot prompting to enable GRI disclosure-based report indexing and report coverage assessment by visualising well-covered topics and reporting gaps. The tool facilitates scalable and explainable benchmarking of Environmental, Social and Governance (ESG) reporting quality, enhancing report interpretation, transparency, and corporate accountability. | |
| dc.identifier.doi | 10.1145/3746252.3761469 | |
| dc.identifier.isbn | 979-8-4007-2040-6 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/238930 | |
| dc.language.iso | eng | |
| dc.source | Crossref:10.1145/3746252.3761469 | |
| dc.subject | Climate Policy | |
| dc.subject | Information Retrieval | |
| dc.subject | Reporting Standard | |
| dc.subject.ddc | 330 Economics | |
| dc.title | ReportGRI: Automating GRI Alignment and Report Assessment | |
| dc.type | conference_item | |
| dcterms.accessRights | info:eu-repo/semantics/openAccess | |
| dcterms.bibliographicCitation.originalpublishername | ACM | |
| dcterms.bibliographicCitation.pageend | 6727 | |
| dcterms.bibliographicCitation.pagestart | 6723 | |
| dspace.entity.type | Publication | |
| oairecerif.event.endDate | 2025-11-14 | |
| oairecerif.event.place | Seoul, Korea | |
| oairecerif.event.startDate | 2025-11-10 | |
| uzh.contributor.author | Usmanova, Aida | |
| uzh.contributor.author | Abdullah, Rana | |
| uzh.contributor.author | Banerjee, Debayan | |
| uzh.contributor.author | Leippold, Markus | |
| uzh.contributor.author | Usbeck, Ricardo | |
| uzh.document.availability | published_version | |
| uzh.event.presentationType | Paper | |
| uzh.event.title | The 34th ACM International Conference on Information and Knowledge Management | |
| uzh.event.type | KonferenzConference | |
| uzh.identifier.doi | https://doi.org/10.5167/uzh-281117 | |
| uzh.oastatus.zora | Green | |
| uzh.publication.citation | Usmanova, A., Abdullah, R., Banerjee, D., Leippold, M., & Usbeck, R. (2025). ReportGRI: Automating GRI Alignment and Report Assessment. 6723–6727. https://doi.org/10.1145/3746252.3761469 | |
| uzh.publication.freeAccessAt | UNSPECIFIED | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.publication.scope | disciplinebased | |
| uzh.publication.seriesTitle | Proceedings of the ACM International Conference on Information and Knowledge Management | |
| uzh.workflow.chairSubject | oecIBF1 | |
| uzh.workflow.fulltextStatus | public | |
| uzh.workflow.rightsCheck | offen | |
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