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A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic
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A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic (2020)A Computational Model to Predict Consumer…Understanding Coronanomics: The Economic Implications of the Coronavirus (COVID-19) Pandemic (2020)Understanding Coronanomics: T…The socio-economic implications of the coronavirus pandemic (COVID-19): A review (2020)The socio-economic implicatio…Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Predicting the impacts of epi…How the COVID-19 Pandemic May Change the World of Retailing (2020)How the COVID-19 Pandemic May…Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach (2020)Forecasting of Real GDP Growt…Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19 (2020)Consumer food stockpiling beh…Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak (2020)Competing during a pandemic? …Formal modeling and verification of a service composition approach in the social customer relationship management system (2019)Formal modeling and verificat…Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning (2018)Customer Churn Prediction Mod…An artificial intelligence system for predicting customer default in e-commerce (2018)An artificial intelligence sy…Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Comparison of supervised mach…Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review (2024)Data Analytics in Supply Chai…Customer purchase prediction in B2C e-business: A systematic review and future research agenda (2024)Customer purchase prediction …Zero defections: quality comes to services. 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References

  • 2020The socio-economic implications of the coronavirus pandemic (COVID-19): A review6,345 cited
  • 2020Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case2,277 cited
  • 2020Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak792 cited
  • 2020How the COVID-19 Pandemic May Change the World of Retailing494 cited
  • 2020Understanding Coronanomics: The Economic Implications of the Coronavirus (COVID-19) Pandemic402 cited
  • 2020Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach259 cited
  • 2020Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19216 cited
  • 2017Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior102 cited
  • 2018An artificial intelligence system for predicting customer default in e-commerce95 cited
  • 2018Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning59 cited
  • 2019Formal modeling and verification of a service composition approach in the social customer relationship management system30 cited

Cited by

  • 2024Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review18 cited
  • 2024Customer purchase prediction in B2C e-business: A systematic review and future research agenda

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