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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...

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Detalles Bibliográficos
Autores principales: Barua, Limon, Zou, Bo, Zhou, Yan, Liu, Yulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
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