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A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic · Study

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ArticleA Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic

Fatemeh Safara2020

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Articlebronze2020

A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic

95 citations·0/0 files stored·Computational Economics

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COVID-19 Pandemic Impacts Data Mining and Machine Learning Applications Customer churn and segmentation

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References

2020The socio-economic implications of the coronavirus pandemic (COVID-19): A review 2020Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case 2020Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak 2020How the COVID-19 Pandemic May Change the World of Retailing 2020Understanding Coronanomics: The Economic Implications of the Coronavirus (COVID-19) Pandemic 2020Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach 2020Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19 2017Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior

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2024Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review 2024Customer purchase prediction in B2C e-business: A systematic review and future research agenda

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Details

Year2020

Typearticle

Published2020-11-05

VenueComputational Economics

ISSN-L0927-7099

Languageen

Citations95

Files0 public / 0

ShelfCOVID-19 Pandemic Impacts

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doi10.1007/s10614-020-10069-3

openalex_workW3095198015

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