We show that most US food, drugstore, and mass-merchandise chains charge nearly
uniform prices across stores, despite wide variation in consumer demographics and …

Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

In the last two decades, artificial intelligence (AI) has transformed the way in which we
consume and analyse sports. The role of AI in improving decision-making and forecasting in …

The sports industry provides a seemingly endless set of examples from every area of
microeconomics, giving students the opportunity to study economics in a context that holds …

The paper presents a model for estimating the transfer fees of professional footballers. We
seek to improve on the literature in two dimensions. First, we utilise advanced player …

What do we notice and how does this affect what we learn and come to believe? I present a
model of an agent who learns to make forecasts on the basis of readily available …

The Second Edition of Correctional Theory: Context and Consequences continues to identify
and evaluate the major competing theories used to guide the goals, policies, and practices …

Purpose The purpose of this paper is to establish a conceptual framework on how hospitality
and tourism educators could incorporate new technology and big data analytics into …

Abstract Moneyball (Lewis, 2003), a New York Times bestseller, is a book about baseball.
When read through a broader lens, however, Moneyball is also a book about innovation …

This paper explores the articulations of sport and 'Big Data'—an important though to date
understudied topic. That we have arrived at an 'Age of Big Data'is an increasingly accepted …