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Predictive machine learning in assessing materiality: The global reporting initiative standard and beyond
Svanberg, Jan
Högskolan i Gävle.
Öhman, Peter
Mid Sweden University, Faculty of Human Sciences, Department of Economics, Geography, Law and Tourism.
(CER)
ORCID iD:
0000-0001-5731-0489
Samsten, Isak
Stockholms universitet.
Neidermeyer, Presha
West Virginia University.
Rana, Tarek
RMIT University.
(CER)
Berg, Natalia
Linnéuniversitetet.
Show others and affiliations
2024 (English)
In:
Artificial intelligence for sustainability innovations in business and financial services / [ed] Walker, T., Wendt, S., Goubran, S. och Schwartz, T., Cham: Palgrave Macmillan, 2024, 1, p. 105-131
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Cham: Palgrave Macmillan, 2024, 1. p. 105-131
National Category
Economics and Business
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URN:
urn:nbn:se:miun:diva-50980
DOI:
10.1007/978-3-031-49979-1
ISBN:
978-3-031-49978-4 (print)
OAI: oai:DiVA.org:miun-50980
DiVA, id:
diva2:1847968
Available from:
2024-04-01
Created:
2024-04-01
Last updated:
2024-05-03
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Öhman, Peter
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ieee
modern-language-association-8th-edition
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
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