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Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017
Despite the rapid growth of online shopping and research interest in the relationship between online and in-store shopping, national-level modeling and investigation of the demand for online shopping with a prediction focus remain limited in the literature. This paper differs from prior work and lev...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637526/ https://www.ncbi.nlm.nih.gov/pubmed/34873350 http://dx.doi.org/10.1007/s11116-021-10250-z |