Past reviews of studies concerning competitive pricing strategies lack a unifying approach to
interdisciplinarily structure research across economics, marketing management, and …

Problem definition: This paper addresses the question whether or not self-learning
algorithms can learn to collude instead of compete against each other, without violating …

We consider dynamic pricing and demand learning in a duopoly with multinomial logit
demand, both from the perspective where firms compete against each other and from the …

Determining the right price is a fundamental business problem that can be addressed by
data-driven methods. In this chapter, we discuss several pricing policies that learn the …

A vast and rapidly increasing stream of literature analyzes dynamic price algorithms in the
presence of demand learning (see the references discussed in Section 1.3). Most of these …

Concern about algorithmic collusion has initiated a stream of literature that claims to
construct algorithms that collude, but also a stream of literature that criticizes these claims …

In reality, sellers face challenges in obtaining perfect demand information. Demand is
influenced not only by price but also by behavioral factors such as reference effects, which …

The breakthrough in option pricing emerged from the Black Scholes model in the early
1970s, marking the arrival of the era of financial engineering. Due to the increasingly …

For a seller operating in a nonstationary demand setting, a key question is how to collect
and filter data to find the optimal prices for its products. In this chapter, we discuss the …