Logo des Repositoriums
 

Green data, green future? How data spaces enable the product carbon footprint calculation for the automotive industry: A case study on Catena-X

Kurzanzeige
dc.contributor.authorGieß, Anna
dc.contributor.authorNeumann, Jenny
dc.contributor.authorJussen, Ilka
dc.contributor.authorSchweihoff, Julia
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:16Z
dc.date.available2024-10-21T18:24:16Z
dc.date.issued2024
dc.description.abstractSociety and politics are increasingly demanding a shift to more sustainable behavior, especially from manufacturing companies. This can be a major challenge as they face technological, regulatory, economic, supply chain, and cultural hurdles when transitioning to more sustainable practices. However, data spaces offer new ways to sharing data can help to accurately calculate CO2 emissions and develop new business models based on it. To illustrate the impact of data spaces on sustainability we considered the example of the product carbon footprint. Doing so, we analyzed public data of the automotive network Catena-X and highlighted the added value for each actor in the ecosystem using the e³value modeling language. Supplementary, we transferred our findings into business model elements (value proposition, value creation and delivery, and value capture).en
dc.identifier.doi10.18420/inf2024_156
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45132
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectData Spaces
dc.subjectData Ecosystems
dc.subjectCO2-Footprint
dc.subjectCatena-X
dc.subjecte³value Modeling
dc.titleGreen data, green future? How data spaces enable the product carbon footprint calculation for the automotive industry: A case study on Catena-Xen
dc.typeText/Conference Paper
gi.citation.endPage1812
gi.citation.publisherPlaceBonn
gi.citation.startPage1799
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleNaWerSys IV – Nachhaltige Wertschöpfungssysteme

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
Gieß_et_al_Green_data.pdf
Größe:
1.04 MB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P352 - INFORMATIK 2024 - Lock in or log out? Wie digitale Souveränität gelingt