Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model

Information Systems Research (forthcoming)

Posted: 29 Mar 2021 Last revised: 18 Jan 2022

See all articles by Chenshuo Sun

Chenshuo Sun

New York University (NYU) - Leonard N. Stern School of Business

Panagiotis Adamopoulos

Emory University - Information Systems and Operations Management

Anindya Ghose

New York University (NYU) - Leonard N. Stern School of Business

Xueming Luo

Temple University

Date Written: April 1, 2021

Abstract

https://pubsonline.informs.org/doi/10.1287/isre.2021.1071

Keywords: Omnichannel marketing, online-offline, purchase funnel, prediction, machine learning, deep learning, data value

Suggested Citation

Sun, Chenshuo and Adamopoulos, Panagiotis and Ghose, Anindya and Luo, Xueming, Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model (April 1, 2021). Information Systems Research (forthcoming), Available at SSRN: https://ssrn.com/abstract=3814630 or http://dx.doi.org/10.2139/ssrn.3814630

Chenshuo Sun (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 W 4th Street
Suite 9-160
New York, NY 10012
United States

Panagiotis Adamopoulos

Emory University - Information Systems and Operations Management ( email )

1300 Clifton Road
Atlanta, GA 30322
United States

Anindya Ghose

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

Xueming Luo

Temple University ( email )

1810 N. 13th Street
Floor 2
Philadelphia, PA 19128
United States

HOME PAGE: http://www.fox.temple.edu/mcm_people/xueming-luo/

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
1,822
PlumX Metrics