Personalization is widely used to attract and retain customers in online business addressing
one size fits all issues, but little is addressed to contextualise users' real-time needs. E …

Retailers need to manage a series of complex decisions relating to numerous products. To
reduce this complexity, they have introduced category management practices, which …

Paralleling the growing space mobile phones take in today's consumers' daily routines,
academic mobile marketing research has been growing at an increasing pace recently. The …

This research presents a retail analytics application which uses machine learning (ML) to
identify and predict under-and overperforming consumer packaged goods (CPGs) using …

The scale development paradigm was created to improve the measurement of latent
constructs. Although several statistical techniques have been successfully integrated into the …

Retailers encounter consequential choices when categorizing products on a (virtual) shelf
display. This research disentangles the impact of two of these categorization schemes …

This review paper aims at providing a systematic analysis of articles published in various
journals and related to the uses and business applications of big data. The goal is to provide …

In the wake of the Covid-19 pandemic, the retail landscape has undergone profound and
enduring changes, necessitating a comprehensive examination of its implications for both …

Disruptive technologies such as IoT, big data analytics, blockchain, and AI have changed
the ways businesses operate, with AI holding immense marketing transformation potential …

With the advent of social media, the volume of data generated on the internet has exploded
due to the growing number of social network users and their interactions on the internet …