Who Will Upgrade to the Next Smartphone? An Integrative Deep Learning Model to Predict Upgrade Behavior of a Longitudinal Consumer Panel

Consumers are often faced with decisions to upgrade their current products. Through a deep learning neural network model on a longitudinal panel data set, we investigate the factors influencing upgrading decisions. We arrive at a comprehensive, yet parsimonious model that considers user enjoyment over time, product characteristics and context factors.



Citation:

Vinicius Andrade Brei, Leonardo Nicolao, Maria Alice Pasdiora, and Rodolfo Coral Azambuja (2019) ,"Who Will Upgrade to the Next Smartphone? An Integrative Deep Learning Model to Predict Upgrade Behavior of a Longitudinal Consumer Panel", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 469-470.

Authors

Vinicius Andrade Brei, Federal University of Rio Grande do Sul (UFRGS), Brazil
Leonardo Nicolao, Federal University of Rio Grande do Sul (UFRGS), Brazil
Maria Alice Pasdiora, Federal University of Rio Grande do Sul (UFRGS), Brazil
Rodolfo Coral Azambuja, Federal University of Rio Grande do Sul (UFRGS), Brazil



Volume

NA - Advances in Consumer Research Volume 47 | 2019



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