Predictive machine learning in assessing materiality : the Global Reporting Initiative standard and beyond
Year of publication: |
2024
|
---|---|
Authors: | Svanberg, Jan ; Öhman, Peter ; Samsten, Isak ; Neidermeyer, Presha ; Rana, Tarek ; Berg, Natalia |
Published in: |
Artificial Intelligence for Sustainability : Innovations in Business and Financial Services. - Cham : Springer Nature Switzerland, ISBN 978-3-031-49979-1. - 2024, p. 105-131
|
Subject: | Machine learning | Materiality assessment | Predictive validity | Sustainability reporting | Künstliche Intelligenz | Artificial intelligence | Nachhaltigkeitsbericht | Berichtswesen | Reporting | Welt | World | Prognoseverfahren | Forecasting model | Standardisierung | Standardization |
-
Do sustainability reporting standards affect analysts' forecast accuracy?
Pizzi, Simone, (2024)
-
Developing Sustainable Reporting Standards
Aras, Guler, (2008)
-
Developing sustainable reporting standards
Aras, Güler, (2008)
- More ...
-
Corporate governance performance ratings with machine learning
Svanberg, Jan, (2022)
-
Svanberg, Jan, (2023)
-
Svanberg, Jan, (2023)
- More ...