Predatory Pricing Algorithms

CR Leslie - NYUL Rev., 2023‏ - HeinOnline
During the height of the Cold War, the American and Soviet militaries maintained arsenals of
nuclear weapons aimed at each other's populations, military targets, and economic assets …

Artificial collusion: Examining supracompetitive pricing by Q-learning algorithms

AV den Boer, JM Meylahn, MP Schinkel - 2022‏ - econstor.eu
We examine recent claims that a particular Q-learning algorithm used by competitors'
autonomously'and systematically learns to collude, resulting in supracompetitive prices and …

The mitigating role of nostalgia for consumer price unfairness perceptions in response to disadvantageous personalized pricing

R Pade, S Feurer - Journal of Business Research, 2022‏ - Elsevier
In the wake of the ability to analyze big customer data, personalized pricing is an interesting
way for firms to increase profits. However, consumers often perceive these pricing practices …

Algorithmic pricing: Implications for consumers, managers, and regulators

M Spann, M Bertini, O Koenigsberg, R Zeithammer… - 2024‏ - nber.org
Over the past decade, an increasing number of firms have delegated pricing decisions to
algorithms in consumer markets such as travel, entertainment, and retail; business markets …

The porosity of the consumer

M Tadajewski, M Higgins - Consumption Markets & Culture, 2023‏ - Taylor & Francis
In this paper, we explore and extend the work of Daniel Pick. Pick articulates the ways in
which the political and intellectual atmosphere shapes how we understand human thought …

Can Machine Learning Amplify Pricing Errors in Housing Market?: Economics of ML Feedback Loops

N Malik, E Manzoor - … of ML Feedback Loops (September 18, 2020), 2020‏ - papers.ssrn.com
Abstract Machine learning algorithms are increasingly employed to price homes and used
cars for sale, properties for rent, rides for hire, and various other products. These prices are …

I lose vs. I earn: Consumer perceived price fairness toward algorithmic (vs. human) price discrimination

X Zhang, X Cheng - Proceedings of the 2024 CHI Conference on Human …, 2024‏ - dl.acm.org
Many companies are turning to algorithms to determine prices. However, little research has
been done to investigate consumers' perceived price fairness when price discrimination is …

[HTML][HTML] Design of multi-optional pickup time offers in ride-sharing systems

J Haferkamp - EURO Journal on Transportation and Logistics, 2024‏ - Elsevier
Ride-sharing systems strive to provide affordable on-demand mobility in urban areas by
effectively consolidating incoming transportation requests. To ensure that transportation …

[کتاب][B] AI and society: Tensions and opportunities

C El Morr - 2023‏ - api.taylorfrancis.com
AI's impact on human societies is and will be drastic in so many ways. AI is being adopted
and implemented around the world, and government and universities are investing in AI …

Regulating explainable artificial intelligence (XAI) may harm consumers

B Mohammadi, N Malik, T Derdenger… - Marketing …, 2024‏ - pubsonline.informs.org
The most recent artificial intelligence (AI) algorithms lack interpretability. Explainable
artificial intelligence (XAI) aims to address this by explaining AI decisions to customers …