Deep Learning-Based Classification of Customers Towards Online Purchase Behaviour: A Recent Empirical Study for Home Appliances

Juin Ghosh Sarkar, Tuhin Mukherjee and Isita Lahiri
Additional contact information
Juin Ghosh Sarkar: MCKV Institute of Engineering, India
Tuhin Mukherjee: Department of Business Administration, University of Kalyani, India
Isita Lahiri: University of Kalyani, India

International Journal of Online Marketing (IJOM), 2020, vol. 10, issue 4, 74-86

Abstract: Online shopping is the new trend and is quickly becoming an integral part of our lifestyle. Due to the internet revolution and massive e-commerce usage by traders, online shopping has seen mammoth growth in recent years. In today's intensely competitive and dynamic environment with technological innovation in every sphere, knowing the consumer mind is the most daunting task for the success of any business. In this backdrop, the researchers have developed a neural network model. They have also made an attempt to classify the customers into two disjoint classes that are interested and uninterested online customers regarding purchase of home appliances through internet in and around Kolkata based on five demographic attributes, namely age, gender, place of residence, occupation, and income. The paper also focuses to optimise the parameters of the proposed neural network and test the efficiency of the constructed model and compare the result by reviewing the existing literatures on the related topic.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/IJOM.2020100105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jom000:v:10:y:2020:i:4:p:74-86

Access Statistics for this article

International Journal of Online Marketing (IJOM) is currently edited by Hatem El-Gohary

More articles in International Journal of Online Marketing (IJOM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().