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Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience
16 references·0 citing·60 second hopsampled
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References

  • 2019The future of technology and marketing: a multidisciplinary perspective630 cited
  • 2014Examining the drivers and brand performance implications of customer engagement with brands in the social media environment420 cited
  • 2019Retail forecasting: Research and practice357 cited
  • 2021Consumer Marketing Strategy and E-Commerce in the Last Decade: A Literature Review292 cited
  • 2018Forecasting sales in the supply chain: Consumer analytics in the big data era271 cited
  • 2020Digital financial literacy, current behavior of saving and spending and its future foresight200 cited
  • 2016Mapping the customer journey: Lessons learned from graph-based online attribution modeling186 cited
  • 2021Digital marketing in SMEs via data-driven strategies: Reviewing the current state of research170 cited
  • 2015The predictive ability of different customer feedback metrics for retention142 cited
  • 2019Product customization: A profile of consumer demand132 cited
  • 2023A multimodal analytics framework for product sales prediction with the reputation of anchors in live streaming e-commerce66 cited
  • 2017How online self-customization creates identification: Antecedents and consequences of consumer-customized product identification and the role of product involvement57 cited
  • 2021A competing risks model based on latent Dirichlet Allocation for predicting churn reasons40 cited

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2016
Configurations of business strategy and marketing channels for e-commerce and traditional retail formats: A Qualitative Comparison Analysis (QCA) in sporting goods retailing
37 cited
  • 2021Maximizing customers' lifetime value using limited marketing resources16 cited
  • 2022Customer Purchase Prediction Based on Improved Gradient Boosting Decision Tree Algorithm14 cited
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