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Spatial models for online retail churn: Evidence from an online grocery delivery service in Madrid
16 references·2 citing·48 second hop
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References

  • 2009Introduction to Spatial Econometrics5,542 cited
  • 1990Zero defections: quality comes to services.5,373 cited
  • 2002Customer loyalty in e-commerce: an exploration of its antecedents and consequences2,339 cited
  • 1982Spatial Processes: Models and Applications1,248 cited
  • 2018Comparing implementations of global and local indicators of spatial association1,136 cited
  • 2015THE SLX MODEL652 cited
  • 2019Why do people use food delivery apps (FDA)? A uses and gratification theory perspective612 cited
  • 2002Modeling social influence through network autocorrelation: constructing the weight matrix596 cited
  • 2015On the Go: How Mobile Shopping Affects Customer Purchase Behavior559 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2001Policy Interventions, Low-Level Equilibria, and Social Interactions523 cited
  • 2001STRUCTURAL COVARIATES OF U.S. COUNTY HOMICIDE RATES: INCORPORATING SPATIAL EFFECTS*479 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2010

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Building comprehensible customer churn prediction models with advanced rule induction techniques
366 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • Cited by

    • 2025Deep Learning Models for Predicting Customer Churn in Omni-Channel Retail Environments10 cited
    • 2022Using Machine Learning Algorithms to Analyze Customer Churn in the Software as a Service (SaaS) Industry10 cited