The authors provide a critical examination of marketing analytics methods by tracing their
historical development, examining their applications to structured and unstructured data …

As a research domain, the retail sector has always had many appealing features, such as its
size, its multi-faceted and dynamic nature, the possibility for researchers to exploit their own …

Hospitality venues traditionally use historical data from customers for their customer
relationship management systems, but now they can also collect real-time data and …

Bundling is the practice of selling two or more products together, often at a discounted price.
In this article, we extend the concept of bundling to a wide variety of choice settings. We …

This work explores marketing data development beginning with consumer panels and
extending into today's Big Data. Its intent is to overview how Big Data builds on the former …

Epistemology is concerned with the preconditions and goals of knowledge, helping us to
understand how knowledge is generated. However, in recent years, the availability of Big …

The communication of sustainability values shared between product developers and
customers is an important catalyst for effective collaboration that inspires sustainable …

Businesses, particularly fashion companies, are becoming more digital due to the advent of
the Internet, mobile devices, social networks and technologies, and fashion companies can …

Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum
likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical …

Bayesian hierarchical modeling is a popular approach to capturing unobserved
heterogeneity across individual units. However, standard estimation methods such as …