Cargando…
Managing demand volatility during unplanned events with sentiment analysis: a case study of the COVID-19 pandemic
Unplanned events such as natural disasters or epidemic outbreaks are usually accompanied by supply chain disruption and highly volatile markets. Besides, the recent COVID-19 crisis has shown that existing artificial intelligence systems and data analytics models, which normally provide valuable supp...
Autores principales: | Nguyen, Angie, Lamouri, Samir, Pellerin, Robert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226410/ http://dx.doi.org/10.1016/j.ifacol.2021.08.200 |
Ejemplares similares
-
COVID-19, volatility dynamics, and sentiment trading
por: John, Kose, et al.
Publicado: (2021) -
The differential influence of social media sentiment on cryptocurrency returns and volatility during COVID-19
por: Kyriazis, Nikolaos, et al.
Publicado: (2023) -
Unplanned Pregnancy and Depressive Symptoms during the COVID-19 Pandemic
por: Costa Júnior, Gilberto Assunção, et al.
Publicado: (2022) -
Volatility of the COVID-19 vaccine hesitancy: sentiment analysis conducted in Brazil
por: Machado Júnior, Celso, et al.
Publicado: (2023) -
Sentiment and firm behavior during the COVID-19 pandemic()
por: Buchheim, Lukas, et al.
Publicado: (2022)