Using loyalty card data to understand the impact of weather on click & collect behaviours in UK retailing
Author:
Affiliation:
1. Department of Geography and Planning, University of Liverpool, Liverpool, UK
Funder
Economic and Social Research Council
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/09593969.2024.2316055
Reference56 articles.
1. Alexiou A. and A. Singleton. 2018. “The 2018 Internet User Classification.” https://data.cdrc.ac.uk/system/files/iuc2018userguide.pdf.
2. A cross cultural study of gender differences in omnichannel retailing contexts
3. Anderson, J., V. Daultani, T. Muman, and M. Batran. 2019. “The Importance of Weather for E-Commerce Orders Forecasting.” ACM International Conference Proceeding Series. 15–19. https://doi.org/10.1145/3385061.3385064.
4. Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values
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