Recently, the e-commerce sites market in Japan is growing. Many companies in e-commerce sites compete for customers each other. Therefore, e-commerce managers need to find good customers who may benefit before these customers purchase at rivals. Some preceding studies discuss which visits lead to purchase. However, it is unclear when a customer visits. In our approach, we predict the day a customer will purchase. As a result, we found some customers who tend to purchase on the day after they viewed many product pages. We also found that product page viewing before purchasing may be one of good predictors.DOI:http://dx.doi.org/10.11591/ijece.v2i6.181
Tracing to the history of e-commerce, in the beginning it only shared documents or electronic files ...
As online reviews become increasingly prevalent, both online businesses and customers face big data ...
With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent y...
Recently, the e-commerce sites market in Japan is growing. Many companies in e-commerce sites compet...
Predicting customer purchase behaviour is an interesting and challenging task. In e-commerce context...
The online retail business has grown substantially. Given distinctive product categories (e.g. searc...
During the past two decades, as internet has spread across the world, bringing people and businesses...
When studying consumer buying behavior, most marketing models have focused on purchasing events only...
E-commerce and other digital mediums have gained popularity as a platform for purchasing products an...
As an important part of the Internet economy, online mar-kets have gained much interest in research ...
With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on w...
Electronic commerce is fundamentally changing the way consumers search and buy goods and services. E...
We develop a theoretical model for predicting purchase behavior in electronic channels. The model su...
The present study aims at analyzing and predicting the human behaviour of online shopping customers....
In this study, we analyze consumers’ product consideration and choice at purchase time. We leverage...
Tracing to the history of e-commerce, in the beginning it only shared documents or electronic files ...
As online reviews become increasingly prevalent, both online businesses and customers face big data ...
With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent y...
Recently, the e-commerce sites market in Japan is growing. Many companies in e-commerce sites compet...
Predicting customer purchase behaviour is an interesting and challenging task. In e-commerce context...
The online retail business has grown substantially. Given distinctive product categories (e.g. searc...
During the past two decades, as internet has spread across the world, bringing people and businesses...
When studying consumer buying behavior, most marketing models have focused on purchasing events only...
E-commerce and other digital mediums have gained popularity as a platform for purchasing products an...
As an important part of the Internet economy, online mar-kets have gained much interest in research ...
With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on w...
Electronic commerce is fundamentally changing the way consumers search and buy goods and services. E...
We develop a theoretical model for predicting purchase behavior in electronic channels. The model su...
The present study aims at analyzing and predicting the human behaviour of online shopping customers....
In this study, we analyze consumers’ product consideration and choice at purchase time. We leverage...
Tracing to the history of e-commerce, in the beginning it only shared documents or electronic files ...
As online reviews become increasingly prevalent, both online businesses and customers face big data ...
With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent y...