TY  - CONF
A1  - Latos, Benedikt
A1  - Becks, Daniela
A1  - Gaillard, Antoine
A1  - Perau, Martin
A1  - Respondek, Bernd
A1  - Kranz, Michael
A1  - Kukulies, J.
A1  - Kruse, Christian
T1  - Integration of Generative AI into a tool to assist participatory ESG doublemateriality assessment for SMEs
T2  - Proceedings of Twentieth International Conference on
Environmental, Cultural, Economic & Social Sustainability
University of Aveiro, Portugal 24-26 January 2024
N2  - The research outlines a concept to conduct the double materiality assessment through the synergistic use of Generative AI and the AHP method. In the first step, we employ interactive, moderated workshops as our chosen methodology to create a tailored set of sustainability target criteria. This process is enriched by the inclusion of Generative AI. The outcome is a comprehensive set of company-specific sustainability target criteria.
KW  - sustainability strategy
KW  - ESG
KW  - double materiality assessment
KW  - AI
KW  - analytic hierarchy process
Y1  - 2024
UR  - https://epub.fir.de/frontdoor/index/index/docId/3432
UR  - https://cgscholar.com/cg_event/events/S24en/proposal/70046
N1  - This work was created as part of a collaboration with associated partners in the context of the funded joint project DiCES (Digital Transformation of Circular Economy for Industrial Sustainability) with the funding code 01MN23022E, which is part of the GreenTech funding framework "Development of Digital Technologies" of the Federal Ministry for Economic Affairs and Climate Action (BMWK), Germany. The responsibility for the content of this publication lies with the authors.
ER  -