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The role of machine learning analytics and metrics in retailing research
16 references·6 citing·42 second hop
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References

  • 2010To Explain or to Predict?2,974 cited
  • 2013Private traits and attributes are predictable from digital records of human behavior2,827 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2006Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue1,591 cited
  • 2006Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue1,329 cited
  • 2016Marketing Analytics for Data-Rich Environments1,255 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy1,058 cited
  • 2014Blindspot: hidden biases of good people1,033 cited
  • 2004Models and Managers: The Concept of a Decision Calculus809 cited
  • 1970Models and Managers: The Concept of a Decision Calculus798 cited
  • 2014Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation774 cited
  • 2011Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content649 cited
  • 2017Automated Text Analysis for Consumer Research635 cited
  • 2011Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance623 cited
  • 2006

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Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models
574 cited
  • 2018The Impact of Artificial Intelligence on Innovation526 cited
  • Cited by

    • 2021Transformation of Metrics and Analytics in Retailing: The Way Forward48 cited
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    • 2024Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms27 cited
    • 2022The role of marketing analytics in the ethical consumption of online consumers22 cited
    • 2025Transforming organizational knowledge creation through artificial intelligence: a systematic review of the emergent literature12 cited
    • 2025Identifying Influential Users by Topic in Unstructured User-Generated Content3 cited