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Authors:
Winkel, Fabian; Geierhos, Michaela; Fink, Josef 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
Evaluating Embedding Models for Retrieving ESG Information from Annual Business Reports 
Title of conference publication:
ICIS 2024 Proceedings, 23, AI in Business and Society 
Conference title:
International Conference on Information Systems (45., 2024, Bangkok) 
Conference title:
International Conference on Information Systems (ICIS) 2024 Conference 
Venue:
Bangkok, Thailand 
Year of conference:
2024 
Date of conference beginning:
15.12.2024 
Date of conference ending:
18.12.2024 
Publishing institution:
Association for Information Systems (AIS) 
Year:
2024 
Pages from - to:
2621 
Language:
Englisch 
Keywords:
ESG statements ; annual business reports ; retrieval systems ; language model selection 
Abstract:
Development Goals (SDG) has become paramount. Companies embed their ESG achievements, plans, and commitments into their annual reports in a non-standardized textual format. We propose a retrieval system for increasing transparency and comparability in ESG reporting, enabling various stakeholders to compare sustainability statements across annual reports. We employed qualitative and quantitative evaluation methods to select the most suitable embedding model for the proposed ESG retrieval applicat...    »
 
Article ID:
2621 
Department:
Fakultät für Informatik 
Institute:
INF 7 - Institut für Datensicherheit 
Chair:
Geierhos, Michaela 
Research Hub UniBw M:
CODE 
Open Access yes or no?:
Ja / Yes