Firms increasingly deploy algorithmic pricing approaches to determine what to charge for
their goods and services. Algorithmic pricing can discriminate prices both dynamically over …

How can hospitality and tourism firms reduce consumers' perceptions of unfairness
regarding their price discrimination practices? We propose that pricing algorithms, as …

Pricing strategies can have a huge impact on a company's success. This paper focuses on
the advantages and disadvantages of using artificial intelligence in dynamic pricing …

Toward the end of the 1990s and into the 2000s, Major League Baseball teams moved away
from fixed ticket prices, to first setting prices according to expected game demand, and …

Problem definition: We present a data-driven study of the secondary ticket market. In
particular, we are primarily concerned with accurately estimating price sensitivity for listed …

We surveyed 72 managers and executives from Major League Baseball (MLB), the National
Football League (NFL), the National Basketball Association (NBA), the National Hockey …

In this chapter, we embark on an in-depth journey to uncover the transformative power of
digital marketing analytics in the sports sector. We explore how data analytics has become …

This paper is devoted to the development of heuristics for the dynamic pricing problem. A
discrete time model of dynamic pricing on the fixed time horizon is proposed. It is applicable …

Some studies have examined ticket sales in the context of a sporting event. However, only a
few have investigated the determinants of ticket prices, and, to date, none have done so in …

Pricing in the Telecommunications sector is characterized by a competitive market where
aggressive acquisition campaigns happen on a daily basis. Therefore, it is important for …