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AI-readiness and production resilience : empirical evidence from German manufacturing in times of the Covid-19 pandemic

Lerch, Christian M.; Heimberger, Heidi; Jäger, Angela; … - In: International journal of production research 62 (2024) 15, pp. 5378-5399

Persistent link: https://www.econbiz.de/10015053695

Firm-level exposure to epidemic diseases : Covid-19, SARS, and H1N1

Hassan, Tarek A.; Hollander, Stephan; Lent, Laurence van; … - 2020 - This revision 26 May 2020

Persistent link: https://www.econbiz.de/10012220989

Are you resilient? : machine learning prediction of corporate rebound out of the Covid-19 pandemic

Bughin, Jacques - In: Managerial and decision economics : MDE ; the … 44 (2023) 3, pp. 1547-1564

Persistent link: https://www.econbiz.de/10014299303

Household survival strategies during COVID-19 : evidence from panel data in South Africa

Eyal, Katherine - 2021

Persistent link: https://www.econbiz.de/10012692580

Weekly forecasting of new COVID-19 cases using past viral load measurements

Khalil, Athar; Handawi, Khalil Al; Mohsen, Zeina; Nour, … - 2022 - Revised: May 2022

Persistent link: https://www.econbiz.de/10013341253

A predictive analytics model for COVID-19 pandemic using artificial neural networks

Kuvvetli, Yusuf; Deveci, Muhammet; Paksoy, Turan; Garg, … - 2021

The COVID-19 pandemic spread rapidly around the world and is currently one of the most leading causes of death and heath disaster in the world. Turkey, like most of the countries, has been negatively affected by COVID-19. The aim of this study is to design a predictive model based on artificial...

Persistent link: https://www.econbiz.de/10013163050

Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application

Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146

variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011 …

Persistent link: https://www.econbiz.de/10014418102

Modelling financial stress during the COVID-19 pandemic : prediction and deeper insights

Ghosh, Indranil; Jana, Rabin K.; David, Roubaud; … - In: International review of economics & finance : IREF 91 (2024), pp. 680-698

Persistent link: https://www.econbiz.de/10014492247

Investigating the effects of the COVID-19 pandemic on stock volatility in Sub-Saharan Africa : analysis using explainable artificial intelligence

Ncube, Mbongiseni; Sibanda, Mabutho; Matenda, Frank Ranganai - In: Economies : open access journal 12 (2024) 5, pp. 1-35

This study examines the impact of the COVID-19 pandemic on sector volatility in sub-Saharan Africa by drawing evidence from two large and two small stock exchanges in the region. The analysis included stock-specific data, COVID-19 metrics, and macroeconomic indicators from January 2019 to July...

Persistent link: https://www.econbiz.de/10014635985

Implications of COVID-19 pandemic on the global trade networks

Vidya, C. T.; Prabheesh, K. P. - In: Emerging markets, finance & trade : a journal of the … 56 (2020) 10, pp. 2408-2421

Persistent link: https://www.econbiz.de/10012262813