Research and analysis of an enterprise E-commerce marketing system under the big data environment

L Li, J Zhang - Journal of Organizational and End User Computing …, 2021 - igi-global.com
As an emerging online shopping method, e-commerce has been widely popular since the
popularization of the Internet. Online sales and online shopping have become the trend of …

The power of a thumbs-up: Will e-commerce switch to social commerce?

CY Li, YC Ku - Information & Management, 2018 - Elsevier
By taking advantage of social networking capabilities, social commerce provides features
that encourage customers to share their personal experiences. The popularity of online …

A computational model to predict consumer behaviour during COVID-19 pandemic

F Safara - Computational Economics, 2022 - Springer
The knowledge-based economy has drawn increasing attention recently, particularly in
online shopping applications where all the transactions and consumer opinions are logged …

The rise of skywalker: The critical vehemence of customer loyalty inside the e-commerce platform

A Akbar, MY Mustafa, N Razak… - Asian Journal of …, 2023 - eprints.unm.ac.id
The electronic commerce is considered as a new concept, which is described as the process
of product and service exchange in world-wide web, as well as, online information web. The …

Towards early purchase intention prediction in online session based retailing systems

R Esmeli, M Bader-El-Den, H Abdullahi - Electronic Markets, 2021 - Springer
Purchase prediction has an important role for decision-makers in e-commerce to improve
consumer experience, provide personalised recommendations and increase revenue. Many …

Customer purchase prediction in B2C e-business: A systematic review and future research agenda

S Chen, Z Xu, D Xu, X Gou - Expert Systems with Applications, 2024 - Elsevier
Customer purchase prediction is increasingly recognized as a crucial marketing strategy in
B2C e-business, promising enhanced business profitability and customer satisfaction …

[HTML][HTML] An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain

R Esmeli, M Bader-El-Den, H Abdullahi - Journal of Business Research, 2022 - Elsevier
Online sales have been growing rapidly in recent years. With the growing competition,
online retailers have been keen to increase the effectiveness of their e-commerce platforms …

Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior

S Khodabandehlou, M Zivari Rahman - Journal of Systems and …, 2017 - emerald.com
Purpose This paper aims to provide a predictive framework of customer churn through six
stages for accurate prediction and preventing customer churn in the field of business …

[HTML][HTML] Response of electric vehicle drivers to dynamic pricing of parking and charging services: Risky choice in early reservations

C Latinopoulos, A Sivakumar, JW Polak - Transportation Research Part C …, 2017 - Elsevier
When clusters of electric vehicles charge simultaneously in urban areas, the capacity of the
power network might not be adequate to accommodate the additional electricity demand …

Market basket analysis using apriori and FP growth algorithm

M Hossain, AHMS Sattar… - 2019 22nd international …, 2019 - ieeexplore.ieee.org
Market basket analysis finds out customers' purchasing patterns by discovering important
associations among the products which they place in their shopping baskets. It not only …