Artificial intelligence in E-Commerce: a bibliometric study and literature review

RE Bawack, SF Wamba, KDA Carillo, S Akter - Electronic markets, 2022 - Springer
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

Online consumer shopping behaviour: A review and research agenda

K Singh, R Basu - International Journal of Consumer Studies, 2023 - Wiley Online Library
Over the last two decades, motivated by the continuous evolution of the technology‐driven
retail environment, researchers have studied various aspects of online consumer behaviour …

Metaverse platform ecosystems

SM Schöbel, JM Leimeister - Electronic Markets, 2023 - Springer
Traditionally, the metaverse has been defined as a virtual reality space in which users can
interact with a computer-generated environment and other users. Nowadays, it is much more …

A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour

S Suresh Kumar, M Margala, S Siva Shankar… - Soft Computing, 2023 - Springer
Dynamic pricing (DP) alters product prices at the ideal moment and under the ideal
conditions to boost a company's profit. Numerous third-party DP solutions are currently …

[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 …

A gradient boosting classifier for purchase intention prediction of online shoppers

IA Khandokar, AKMM Islam, S Islam, S Shatabda - Heliyon, 2023 - cell.com
Early purchase prediction plays a vital role for an e-commerce website. It enables e-
shoppers to enlist consumers for product suggestions, offer discount and for many other …

Exploring the impact of time spent reading product information on e-commerce websites: A machine learning approach to analyze consumer behavior

SC Necula - Behavioral Sciences, 2023 - mdpi.com
In this study, we aim to investigate the influence of the time spent reading product
information on consumer behavior in e-commerce. Given the rapid growth of e-commerce …

Predicting travel insurance purchases in an insurance firm through machine learning methods after covid-19

ST Lim, JY Yuan, KW Khaw, XY Chew - Journal of Informatics and …, 2023 - mmupress.com
Travel insurance serves as a crucial financial safeguard, offering coverage against
unforeseen expenses and losses incurred during travel. With the advent of the proliferation …

Determinants of interaction intention to purchase online in less developed countries: The moderating role of technology infrastructure

HM Al-Hattami, AAH Abdullah, M Al-Okaily… - Cogent Social …, 2023 - Taylor & Francis
Even though there is significant growth in online purchasing platforms globally, interaction
with such platforms is not very popular in less developed countries (LDCs) like Yemen and …

Will this online shopping session succeed? predicting customer's purchase intention using embeddings

M Alves Gomes, R Meyes, P Meisen… - Proceedings of the 31st …, 2022 - dl.acm.org
Customers are increasingly using online channels to buy products. For e-commerce
companies, this offers new opportunities to tailor the shopping experience to customers' …