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

Purpose Reference price is a key input in deciding product/service prices by organizations
and has a significant influence on consumer purchase decisions. This study aims to provide …

The objective of this article is to analyze the effect of dynamic price variability on revenue
maximization. While dynamic pricing is a common practice in tourism, this is the first …

We present a model of dynamic competition between two firms where firms gather customer
information through first-period purchase. This creates asymmetric information in the second …

The rise of big data and artificial intelligence creates novel and unique opportunities for
business to consumer (B2C) transactions. Businesses assemble or otherwise gain access to …

Personalized dynamic pricing (PDP) involves dynamically setting individual-consumer
prices for the same product or service according to consumer-identifying information …

This paper presents an empirical analysis of propositions concerning the consequences of
price (un) fairness perceptions in personalized pricing based on individual consumer …

The extent to which pricing executives consider consumer perceptions of deception,
fairness, and social justice is positioned within an emerging area of research that …

We examine the boundary conditions of online personalized advertising by investigating
when it is perceived as acceptable and when negative feelings predominate. We conducted …

Technological innovation enables firms not only to produce green and energy-efficient
products but also to more conveniently collect consumer data for price discrimination …