A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines
Description
The emergence of e-commerce platforms, especially online grocery shopping, is heightened by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict quarantine implementations in the country. This study intended to predict
