Publication:
ReportGRI: Automating GRI Alignment and Report Assessment

Date

Date

Date
2025
Conference or Workshop Item
Published version
cris.virtual.orcid0000-0001-5983-2360
cris.virtualsource.orcid0331cda6-e903-4e22-9b44-f89f54f581dc
dc.date.accessioned2025-12-03T14:41:50Z
dc.date.available2025-12-03T14:41:50Z
dc.date.issued2025-11-10
dc.description.abstractOrganisations 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.doi10.1145/3746252.3761469
dc.identifier.isbn979-8-4007-2040-6
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/238930
dc.language.isoeng
dc.sourceCrossref:10.1145/3746252.3761469
dc.subjectClimate Policy
dc.subjectInformation Retrieval
dc.subjectReporting Standard
dc.subject.ddc330 Economics
dc.titleReportGRI: Automating GRI Alignment and Report Assessment
dc.typeconference_item
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.originalpublishernameACM
dcterms.bibliographicCitation.pageend6727
dcterms.bibliographicCitation.pagestart6723
dspace.entity.typePublication
oairecerif.event.endDate2025-11-14
oairecerif.event.placeSeoul, Korea
oairecerif.event.startDate2025-11-10
uzh.contributor.authorUsmanova, Aida
uzh.contributor.authorAbdullah, Rana
uzh.contributor.authorBanerjee, Debayan
uzh.contributor.authorLeippold, Markus
uzh.contributor.authorUsbeck, Ricardo
uzh.document.availabilitypublished_version
uzh.event.presentationTypePaper
uzh.event.titleThe 34th ACM International Conference on Information and Knowledge Management
uzh.event.typeKonferenzConference
uzh.identifier.doihttps://doi.org/10.5167/uzh-281117
uzh.oastatus.zoraGreen
uzh.publication.citationUsmanova, 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.freeAccessAtUNSPECIFIED
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.publication.scopedisciplinebased
uzh.publication.seriesTitleProceedings of the ACM International Conference on Information and Knowledge Management
uzh.workflow.chairSubjectoecIBF1
uzh.workflow.fulltextStatuspublic
uzh.workflow.rightsCheckoffen
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